48_14_11.dvi
|
|
|
- あおし あんさい
- 7 years ago
- Views:
Transcription
1 Vol. 48 No. SIG 14(TOD 35) Sep BLOGRANGER Web Web Web 2191 Web 2 BLOGRANGER: Implementation of Goal-oriented Blog Search Engine Hiroyuki Toda, Ko Fujimura, Takafumi Inoue, Nobuaki Hiroshima, Masayuki Sugizaki, Ryoji Kataoka and Masahiro Oku Topics mentioned in blogspace are biased towards interesting/funny or entertainmentrelated topics compared to the generic web space and many articles contain personal opinions on goods or services. Making good use of these characteristics, we introduce a new blog search engine that provides multiple interfaces, each targeted at a different goal, e.g., topic search, blogger search, and reputation search. To evaluate the effectiveness of the system, we conducted a user survey and collected 2191 answers. For the specific search conducted, twice as many people answered that BLOGRANGER is superior to general web search. 1. World Wide Web Web ping push RSS pull ) NTT NTT Cyber Solutions Laboratories, NTT Corporation NTT NTT Resonant Inc. 20),21),23),24),27),30) Web Web Web Web 20),24),27),30) 132
2 Vol. 48 No. SIG 14(TOD 35) BLOGRANGER 133 BLOGRANGER BLO- GRANGER BLO- GRANGER 2 BLOGRANER 3 2 BLOGRANGER Web Web BLOGRANGER 4
3 134 Sep BLOGRANGER Fig. 1 GUI of BLOGRANGER. BLOGRANGER 3. BLOGRANGER Scatter/Gather 3),8) Scatter/Gather BLOGRANGER 15),17) Scatter/Gather Gather 15),17) Web BLOGRANGER 1 BLOGRANGER 3 4
4 Vol. 48 No. SIG 14(TOD 35) BLOGRANGER BLOGRANGER ) 2 17) 7), 17)
5 136 Sep Web 2 Web CD DVD Web Web goo 7 40 Web Web Web Fig. 2 Outline of dictionary construction process. Web Web Web Web Web 18) Shinzato 13) HTML (1) (a) 5 10 (b) Web Web (c) Web (d) HTML XML TR LI (e)
6 Vol. 48 No. SIG 14(TOD 35) BLOGRANGER Fig. 3 Constructing process of Topic Filter. (2) (3) Web (4) Fujii 4) (1) Web (2) Web (3) (4) (5) (6) 2 BLO- GRANGER DVD CD 4 Fig. 4 Example of Topic Filter. 17) 3 4
7 138 Sep Fig. 5 Constructing process of Refer Filter BLOGRANGER 2),10) Web URL URL URL HTML TITLE URL URL BLOGRANGER
8 Vol. 48 No. SIG 14(TOD 35) BLOGRANGER Fig. 6 Example of Sentiment Filter EigenRumor 6) EigenRumor authority hub reputation 3 reputation authority hub authority hub reputation reputation reputation authority
9 140 Sep Fig. 7 7 Example of Sentiment Filter (A case which a sentiment word is selected). Fig. 8 8 Constructing process of Sentiment Filter. URL EigenRumor BLOGRANGER 4 BLOGRANGER EigenRumor BLOGRANGER BLOGRANGER 1 RSS Web
10 Vol. 48 No. SIG 14(TOD 35) BLOGRANGER 141 Fig. 9 9 Constructing process of Blogger Filter. 1),9) RSS RSS Web ,000 9,280,000 6) 9,280, ,520, % 116, % 107, % PageRank 98.85% 0 EigenRumor 6) EigenRumor hub authority authority 36, % 28, % 28, , % EigenRumor 9.3% 9.3% 9.3% EigneRumor HITS HITS Web EigenRumor
11 142 Sep EigenRumor BBS identity ID EigenRumor m n i j i j P =[p i,j ] i =1 m, j =1 n i j p i,j =1 p i,j =0 i j e i,j i j E =[e i,j ] i =1 m, j =1 n e i,j i j [0,1] 1 EigenRumor P E identity URL URL identity blog identity blog URL URL URL 2 i j i j e i,j =1 e i,j =0 URL URL 2 EigenRumor P E 2 authority a hub h reputation r 3 authority a i i i =1 m authority a =[a 1 a m ] T authority hub h i i i =1 m hub h =[h 1 h m ] T hub reputation r j j j =1 n reputation r =[r 1 r n ] T reputation authority reputation hub reputation reputation authority
![j =1 n e i,j i j [0,1] 1 EigenRumor P E identity URL URL identity blog identity blog URL URL URL 2 i j i j e i,j =1 e i,j =0 URL URL 2](/docs-images/57/20081197/images/page_11.jpg "EigenRumor P E 2 authority a hub h reputation r 3 authority a i i i =1 m authority a =[a 1 a m ] T authority hub h i i i =1 m hub h =[h 1")
12 Vol. 48 No. SIG 14(TOD 35) BLOGRANGER 143 reputation hub 4 r = P T a (1) r = E T h (2) a = P r (3) h = E r (4) (1) (2) (1) (2) r = αp T a +(1 α)e T h (5) α [0,1] α 1 0 reputation (5) (3) (4) r = αp T P r +(1 α)e T E r =(αp T P +(1 α)e T E) r (6) = S r S =(αp T P +(1 α)e T E) reputation (6) r S λ r = S r (7) r λ S r S S HITS (6) r r S principal eigenvector r (3) (4) a h EigenRumor EigenRumor BLOGRANGER EigenRumor HITS PageRank HITS HITS 1) HITS HITS BLOGRANGER E 2 EigenRumor E P authority hub PageRank E P 1 Web E P 1 BLOGRANGER E P BLOGRANGER 1 E P BLOGRANGER 10 BLOGRANGER
![[0,1] α 1 0 reputation (5) (3) (4) r = αp T P r +(1 α)e T E r =(αp T P +(1 α)e T E) r (6) = S r S =(αp T P +(1 α)e T E) reputation (6) r S λ r = S r](/docs-images/57/20081197/images/page_12.jpg "(7) r λ S r S S HITS (6) r r S principal eigenvector r (3) (4) a h EigenRumor EigenRumor BLOGRANGER EigenRumor HITS PageRank HITS HITS 1) HITS HITS")
13 144 Sep Fig. 10 System overview. 4 URL URL BLOGRANGER BLOGRANGER BLOGRANGER Intelliseek 28) Web ,700 2, % Web BLOGRANGER Web 24) 25) BLO- GRANGER 22) 1 1 BLOGRANGER ,000 Web Google Web 2500 BLOGRANGER Web 2 BLOGRANGER 1 Web Web goo Web 20 26) ) BLOGRANGER 10
14 Vol. 48 No. SIG 14(TOD 35) BLOGRANGER Table 1 Search goals for the selected keywords % 36.92% 48.52% 21.50% 7.99% 1.32% 2 Web BLOGRANGER Table 2 Comparison of the usefullness between Web search and BLOGRANGER. Web BLOGRANGER HIS DELL JTB Web Web 2 Web BLOGRANGER 8 Web BLO- GRANGER Web Web BLOGRANGER 2 BLOGRANGER BLOGRANGER Web 5% 4 Web BLOGRANGER Web BLOGRANGER 2 Web BLOGRANGER 2 Web 4.4 BLOGRANGER Web 6BLOGRANGER Web 8 BLOGRANGER
15 146 Sep Table 3 3 Web BLOGRANGER Comparison of the usefullness between Web search and BLOGRANGER. Web BLOGRANGER Web BLOGRANGER Table 4 Comparison of the usefullness between Web search and BLOGRANGER. Web BLOGRANGER % 40% Web 11 BLOGRANGER Fig. 11 Comparison of usefullness between traditional bog search and BLOGRANGER. 8 BLOGRANGER Web 19% BLOGRANGER 34% BLOGRANGER 5% BLOGRANGER Web BLOGRANGER BLOGRANGER 3 50% 65% BLOGRANGER BLOGRANGER 4
16 Vol. 48 No. SIG 14(TOD 35) BLOGRANGER 147 BLOGRANGER BLO- GRANGER 3 BLOGRANGER BLOGRANGER BLOGRANGER Fig. 12 Comparison of usefullness among the proposed filters. 5 Table 5 Questionnaire result for the usability % 10.59% 30.31% 56.37% 9.27% 34.14% BLOGRANGER % BLOGRANGER 5. BlogPulse 21) Conversation Tracker BlogPulse Profiles
17 148 Sep BlogPulse Nakajima 12) Agitator Summarizer EigenRumor Nakajima blogwatcher 16),23) 5) blogwatcher 3.5 kizasi.jp 29) kizasi.jp 1 14) Mishne 11) Web BLOGRANGER 4 2 BLOGRANGER Web 5
18 Vol. 48 No. SIG 14(TOD 35) BLOGRANGER 149 1) Brin, S. and Page, L.: The anatomy of a largescale hypertextual Web Search Engine, Proc. 7th international conference on World Wide Web 7, Brisbane, Australia, pp (Apr. 1998). 2) Chang, C.H., Lui, S.C. and Pu. C.: IEPAD: Information Extraction Based on Pattern Discovery, Proc. 12th International Conference of World Wide Web, Hong Kong, China, pp.4 15 (May 2001). 3) Cutting, D., Karger, D., Pedersen, J. and Tukey, J.: Scatter/Gather: A cluster-based approach to browsing large document collections, Proc. 15th annual international ACM SIGIR conference on Research and development in information retrieval, Copenhagen, Denmark, pp (June 1992). 4) Fujii, A., Itoh, K., Akiba, T. and Ishikawa, T.: Exploiting Anchor Text for the Navigational Web Retrieval at NTCIR-5, Proc. NTCIR-5 Workshop Meeting, Tokyo, Japan (Dec. 2005). 5) Fujiki, T., Nanno, T., Suzuki, Y. and Okumura, M.: Identification of Bursts in a Document Stream, Proc. 1st International Workshop on Knowledge Discovery in Data Streams, Pisa, Italy, pp (Sep. 2004). 6) Fujimura, K., Inoue, T. and Sugizaki, M.: The EigenRumor Algorithm for Ranking Blogs, Proc.WWW 2nd Annual Workshop on the Weblogging Ecosystem: Aggregation, Analysis and Dynamics, Chiba, Japan (May 2005). 7) Grishman, R. and Sundheim, B.: Message Understanding Conference 6: A Brief History, Proc. 16th International Conference on Computational Linguistics, Copenhagen, Denmark, pp (Aug. 1996). 8) Hearst, M. and Pederson, J.: Reexamining the Cluster Hypothesis: Scatter/Gather on Retrieval Results, Proc. 19th annual international ACM SIGIR conference on Research and development in information retrieval, Zurich, Switzerland, pp (Aug. 1996). 9) Kleinburg, J.: Authoritative sources in hyperlinked environment, J. ACM, Vol.46, No.5. pp (1999). 10) Kushmerick, N.: Wrapper Induction: Efficiency and Expressiveness, Artifical Intelligence, Vol.118, pp (2000). 11) Mishne, G. and Rijke, M.: A Study of Blog Search, Proc. 28th European Conference on Information Retrieval, London, UK, pp (Apr. 2006). 12) Nakajima, S., Tatemura, J., Hino, Y., Hara, Y. and Tanaka, K.: Discovering Important Bloggers based on Analyzing Blog Threads, Proc. WWW nd Annual Workshop on the Weblogging Ecosystem, Chiba, Japan (May 2005). 13) Shinzato, K. and Torisawa, K.: A Simple WWW-based Method for Sementic Word Class Acquisition, Proc. International Conference on Recant Advances in Natural Language Processing 2005, pp (Sep. 2005). 14) Suhara, Y., Toda, H. and Sakurai, A.: Event mining from the Blogosphere using topic words, Proc. 1st International Conference on Weblogs and Social Media (ICWSM 2007 ), Boulder, Colorado, U.S.A. (Mar. 2007). 15) Zeng, H., He, Q., Zheng, C., Ma, W. and Ma, J.: Learning to cluster web search results, Proc. 27th annual international ACM SIGIR conference on Research and development in information retrieval, Sheffield, United Kingdom, pp (Aug. 2004). 16) blog SIG-SW & ONT- A401-01, pp (2004). 17) Vol.46, No.SIG13 (TOD27), pp (2005). 18) SoftPath Vol.2002, No.105, pp (2002). 19) SNS (2006). 20) ask.jphttp://ask.jp/bloghome.asp 21) BlogPulse. 22) BLOGRANGER. jp/ 23) blogwatcher. jp/ 24) goo 25) goo Search. 26) goo 27) Google Blog Search. com/ 28) Intelliseek, WWE-2006 Weblog Data Challenge. www2006-workshop/datashare-instructions.txt 29) kizasi.jp. 30) Technorati JAPAN.
19 150 Sep A Web goo goo 6 Web Web 4 BLOGRANGER 7 4 BLO- GRANGER Web BLOGRANGER Web 9 4 BLO- GRANGER 13 BLOGRANGER 14 BLOGRANGER A % % % DS % % % % % % % % % % % % JTB % % HIS % % % % W-ZERO % % KAT-TUN % % Dell % % % % % Web % % % % Opera % ENDLICHERI % 4gamer % Feedpath % foobar % %
20 Vol. 48 No. SIG 14(TOD 35) BLOGRANGER 151 ( ) ( ) Web NTT ACM SIGIR NTT NTT NTT NTT NTT NTT ALT-J/E REVISE-T NTT goo
3807 (3)(2) ,267 1 Fig. 1 Advertisement to the author of a blog. 3 (1) (2) (3) (2) (1) TV 2-0 Adsense (2) Web ) 6) 3
Vol. 52 No. 12 3806 3816 (Dec. 2011) 1 1 Discovering Latent Solutions from Expressions of Dissatisfaction in Blogs Toshiyuki Sakai 1 and Ko Fujimura 1 This paper aims to find the techniques or goods that
IT,, i
22 Retrieval support system using bookmarks that are shared in an organization 1110250 2011 3 17 IT,, i Abstract Retrieval support system using bookmarks that are shared in an organization Yoshihiko Komaki
Vol. 46 No. SIG 13(TOD 27) ) ),4) 4) 1 2 5) 2 Cutting Scatter/Gather 6),7) Fractionation 6) Leuski 8)
Vol. 46 No. SIG 13(TOD 27) Sep. 2005 94 95 IREX A Label-based Navigation Method Using Informatively Named Entities Hiroyuki Toda, Hidekazu Nakawatase and Ryoji Kataoka Due to the growth of the Internet,
main.dvi
DEIM Forum 2009 A4-4 305-8573 1-1-1 305-8573 1-1-1 277-8568 5-1-5 Wikipedia API Wikipedia Wikipedia Semi-Automatic Discovery of Cross-Cultural Gaps through Japanese/English Blog Distillation Hiroyuki NAKASAKI,MarikoKAWABA,
TF-IDF TDF-IDF TDF-IDF Extracting Impression of Sightseeing Spots from Blogs for Supporting Selection of Spots to Visit in Travel Sat
1 1 2 1. TF-IDF TDF-IDF TDF-IDF. 3 18 6 Extracting Impression of Sightseeing Spots from Blogs for Supporting Selection of Spots to Visit in Travel Satoshi Date, 1 Teruaki Kitasuka, 1 Tsuyoshi Itokawa 2
: ( 1) () 1. ( 1) 2. ( 1) 3. ( 2)
Acquiring Organized Information from News by Incremental Theme Refinements 1 1 1 Yutaro Taniguchi 1 Tetsunori Kobayashi 1 Yoshihiko Hayashi 1 1 1 School of Science and Engineering, Waseda University Abstract:
1 1 tf-idf tf-idf i
14 A Method of Article Retrieval Utilizing Characteristics in Newspaper Articles 1055104 2003 1 31 1 1 tf-idf tf-idf i Abstract A Method of Article Retrieval Utilizing Characteristics in Newspaper Articles
2. Twitter Twitter 2.1 Twitter Twitter( ) Twitter Twitter ( 1 ) RT ReTweet RT ReTweet RT ( 2 ) URL Twitter Twitter 140 URL URL URL 140 URL URL
1. Twitter 1 2 3 3 3 Twitter Twitter ( ) Twitter (trendspotter) Twitter 5277 24 trendspotter TRENDSPOTTER DETECTION SYSTEM FOR TWITTER Wataru Shirakihara, 1 Tetsuya Oishi, 2 Ryuzo Hasegawa, 3 Hiroshi Hujita
DPA,, ShareLog 3) 4) 2.2 Strino Strino STRain-based user Interface with tacticle of elastic Natural ObjectsStrino 1 Strino ) PC Log-Log (2007 6)
1 2 1 3 Experimental Evaluation of Convenient Strain Measurement Using a Magnet for Digital Public Art Junghyun Kim, 1 Makoto Iida, 2 Takeshi Naemura 1 and Hiroyuki Ota 3 We present a basic technology
独立行政法人情報通信研究機構 Development of the Information Analysis System WISDOM KIDAWARA Yutaka NICT Knowledge Clustered Group researched and developed the infor
独立行政法人情報通信研究機構 KIDAWARA Yutaka NICT Knowledge Clustered Group researched and developed the information analysis system WISDOM as a research result of the second medium-term plan. WISDOM has functions that
IPSJ-TOD
Vol. 3 No. 2 91 101 (June 2010) 1 1 1 2 1 TSC2 Automatic Evaluation of Text Summaries by Using Paraphrase Kazuho Hirahara, 1 Hidetsugu Nanba, 1 Toshiyuki Takezawa 1 and Manabu Okumura 2 The evaluation
,,,,., C Java,,.,,.,., ,,.,, i
24 Development of the programming s learning tool for children be derived from maze 1130353 2013 3 1 ,,,,., C Java,,.,,.,., 1 6 1 2.,,.,, i Abstract Development of the programming s learning tool for children
& Vol.2 No (Mar. 2012) 1,a) , Bluetooth A Health Management Service by Cell Phones and Its Us
1,a) 1 1 1 1 2 2 2011 8 10, 2011 12 2 1 Bluetooth 36 2 3 10 70 34 A Health Management Service by Cell Phones and Its Usability Evaluation Naofumi Yoshida 1,a) Daigo Matsubara 1 Naoki Ishibashi 1 Nobuo
ID 3) 9 4) 5) ID 2 ID 2 ID 2 Bluetooth ID 2 SRCid1 DSTid2 2 id1 id2 ID SRC DST SRC 2 2 ID 2 2 QR 6) 8) 6) QR QR QR QR
Vol. 51 No. 11 2081 2088 (Nov. 2010) 2 1 1 1 which appended specific characters to the information such as identification to avoid parity check errors, before QR Code encoding with the structured append
4_6.dvi
Vol. 50 No. 4 1399 1409 (Apr. 2009) 1, 1 1 1 1 TSUBAKI 1 Web Information Observation Using Keyword Distillation Based Clustering Yasuo Bamba, 1, 1 Keiji Shinzato, 1 Tomohide Shibata 1 and Sadao Kurohashi
Vol. 42 No MUC-6 6) 90% 2) MUC-6 MET-1 7),8) 7 90% 1 MUC IREX-NE 9) 10),11) 1) MUCMET 12) IREX-NE 13) ARPA 1987 MUC 1992 TREC IREX-N
Vol. 42 No. 6 June 2001 IREX-NE F 83.86 A Japanese Named Entity Extraction System Based on Building a Large-scale and High-quality Dictionary and Pattern-matching Rules Yoshikazu Takemoto, Toshikazu Fukushima
1 UD Fig. 1 Concept of UD tourist information system. 1 ()KDDI UD 7) ) UD c 2010 Information Processing S
UD 1 2 3 4 1 UD UD UD 2008 2009 Development and Evaluation of UD Tourist Information System Using Mobile Phone to Heritage Park HISASHI ICHIKAWA, 1 HIROYUKI FUKUOKA, 2 YASUNORI OSHIDA, 3 TORU KANO 4 and
1 4 4 [3] SNS 5 SNS , ,000 [2] c 2013 Information Processing Society of Japan
![1 4 4 [3] SNS 5 SNS , ,000 [2] c 2013 Information Processing Society of Japan](/thumbs/93/112672153.jpg "1 4 4 [3] SNS 5 SNS , ,000 [2] c 2013 Information Processing Society of Japan")
SNS 1,a) 2 3 3 2012 3 30, 2012 10 10 SNS SNS Development of Firefighting Knowledge Succession Support SNS in Tokyo Fire Department Koutarou Ohno 1,a) Yuki Ogawa 2 Hirohiko Suwa 3 Toshizumi Ohta 3 Received:
main.dvi
305 8550 1 2 CREST fujii@slis.tsukuba.ac.jp 1 7% 2 2 3 PRIME Multi-lingual Information Retrieval 2 2.1 Cross-Language Information Retrieval CLIR 1990 CD-ROM a. b. c. d. b CLIR b 70% CLIR CLIR 2.2 (b) 2
1 3 1.1................................. 3 1.2................................... 4 1.2.1................... 4 1.2.2..................... 4 1.2.3.....
2012 STUDIES ON RANKING DOCUMENTS WITH QUERY-INTENT SENSITIVITY 11R3129 Shota HATAKENAKA 1 3 1.1................................. 3 1.2................................... 4 1.2.1................... 4 1.2.2.....................
IPSJ SIG Technical Report Vol.2012-CG-148 No /8/29 3DCG 1,a) On rigid body animation taking into account the 3D computer graphics came
3DCG 1,a) 2 2 2 2 3 On rigid body animation taking into account the 3D computer graphics camera viewpoint Abstract: In using computer graphics for making games or motion pictures, physics simulation is
Comparative Study of Media Use Capacity for 8th Grade Students Yoshiro Kawakami Hirohisa Suzuki The world is experiencing a variety of changes resulting from the widespread diffusion of information technology.
DEIM Forum 2009 C8-4 QA NTT QA QA QA 2 QA Abstract Questions Recomme
DEIM Forum 2009 C8-4 QA NTT 239 0847 1 1 E-mail: {kabutoya.yutaka,kawashima.harumi,fujimura.ko}@lab.ntt.co.jp QA QA QA 2 QA Abstract Questions Recommendation Based on Evolution Patterns of a QA Community
Microsoft Word - toyoshima-deim2011.doc
DEIM Forum 2011 E9-4 252-0882 5322 252-0882 5322 E-mail: t09651yt, sashiori, kiyoki @sfc.keio.ac.jp CBIR A Meaning Recognition System for Sign-Logo by Color-Shape-Based Similarity Computations for Images
main.dvi
1 1 1 2 3 LDA Estimating and Analyzing a Domain Topic Model of Entries Kensaku Makita 1 Hiroko Suzuki 1 Daichi Koike 1 Takehito Utsuro 2 Yasuhide Kawada 3 Abstract: In order to address the issue of quickly
3_23.dvi
Vol. 52 No. 3 1234 1244 (Mar. 2011) 1 1 mixi 1 Casual Scheduling Management and Shared System Using Avatar Takashi Yoshino 1 and Takayuki Yamano 1 Conventional scheduling management and shared systems
IPSJ SIG Technical Report Vol.2011-MUS-91 No /7/ , 3 1 Design and Implementation on a System for Learning Songs by Presenting Musical St
1 2 1, 3 1 Design and Implementation on a System for Learning Songs by Presenting Musical Structures based on Phrase Similarity Yuma Ito, 1 Yoshinari Takegawa, 2 Tsutomu Terada 1, 3 and Masahiko Tsukamoto
kut-paper-template.dvi
14 Application of Automatic Text Summarization for Question Answering System 1030260 2003 2 12 Prassie Posum Prassie Prassie i Abstract Application of Automatic Text Summarization for Question Answering
1 Fogg Fogg Behavior Model [1] information cascade [2] TPO [3] Fig. 2 Target area of this paper. 1 Fig. 1 Fogg b
![1 Fogg Fogg Behavior Model [1] information cascade [2] TPO [3] Fig. 2 Target area of this paper. 1 Fig. 1 Fogg b](/thumbs/91/105674179.jpg "1 Fogg Fogg Behavior Model [1] information cascade [2] TPO [3] Fig. 2 Target area of this paper. 1 Fig. 1 Fogg b")
1,a) 1 1 1 2014 9 20, 2015 1 5 TPO Extracting Purpose-for-Action to Enhance Local Information Service Noriko Yokoyama 1,a) Kaname Funakoshi 1 Hiroyuki Toda 1 Yoshimasa Koike 1 Received: September 20, 2014,
22 Google Trends Estimation of Stock Dealing Timing using Google Trends
22 Google Trends Estimation of Stock Dealing Timing using Google Trends 1135064 3 1 Google Trends Google Trends Google Google Google Trends Google Trends 2006 Google Google Trend i Abstract Estimation
IPSJ SIG Technical Report Vol.2009-DPS-141 No.20 Vol.2009-GN-73 No.20 Vol.2009-EIP-46 No /11/27 1. MIERUKEN 1 2 MIERUKEN MIERUKEN MIERUKEN: Spe
1. MIERUKEN 1 2 MIERUKEN MIERUKEN MIERUKEN: Speech Visualization System Based on Augmented Reality Yuichiro Nagano 1 and Takashi Yoshino 2 As the spread of the Augmented Reality(AR) technology and service,
1 Broder Navigational URL URL Informational Web Transactional Web Web Web 2 Broder [16] SearchLife Broder [16] Daniel [17] Broder
![1 Broder Navigational URL URL Informational Web Transactional Web Web Web 2 Broder [16] SearchLife Broder [16] Daniel [17] Broder](/thumbs/86/94166822.jpg "1 Broder Navigational URL URL Informational Web Transactional Web Web Web 2 Broder [16] SearchLife Broder [16] Daniel [17] Broder")
DEIM Forum 2010 B9-4 432 8011 3 5 1 432 8011 3 5 1 E-mail: gs08062@s.inf.shizuoka.ac.jp, {yokoyama,fukuta,ishikawa}@inf.shizuoka.ac.jp Web Web. Evaluation of a Multiple Viewpoints Clustering Search Engine
Vol. 42 No. SIG 8(TOD 10) July HTML 100 Development of Authoring and Delivery System for Synchronized Contents and Experiment on High Spe
Vol. 42 No. SIG 8(TOD 10) July 2001 1 2 3 4 HTML 100 Development of Authoring and Delivery System for Synchronized Contents and Experiment on High Speed Networks Yutaka Kidawara, 1 Tomoaki Kawaguchi, 2
[1] HITS EigenRumor Web PageRank 情報の要求 投稿者推薦システム 投稿者の重要度推定 ( 本研究 ) の引用回数から推定 投稿者のネットワークから推定 個人的な興味を考慮した部分 1 投稿者のランキング Web EigenRumor Kri
![[1] HITS EigenRumor Web PageRank 情報の要求 投稿者推薦システム 投稿者の重要度推定 ( 本研究 ) の引用回数から推定 投稿者のネットワークから推定 個人的な興味を考慮した部分 1 投稿者のランキング Web EigenRumor Kri](/thumbs/92/108245530.jpg "[1] HITS EigenRumor Web PageRank 情報の要求 投稿者推薦システム 投稿者の重要度推定 ( 本研究 ) の引用回数から推定 投稿者のネットワークから推定 個人的な興味を考慮した部分 1 投稿者のランキング Web EigenRumor Kri")
DEIM Forum 21 C3-4 66-81 66-81 E-mail: spzuka@db.soc.i.kyoto-u.ac.jp, {ysuzuki,yoshikawa}@i.kyoto-u.ac.jp A calculation method of blogger s importance using influences to others in micro-blogs Kazuki YOSHIMOTO,
The copyright of this material is retained by the Information Processing Society of Japan (IPSJ). The material has been made available on the website
The copyright of this material is retained by the Information Processing Society of Japan (IPSJ). The material has been made available on the website by the author(s) under the agreement with the IPSJ.
IPSJ SIG Technical Report Secret Tap Secret Tap Secret Flick 1 An Examination of Icon-based User Authentication Method Using Flick Input for
1 2 3 3 1 Secret Tap Secret Tap Secret Flick 1 An Examination of Icon-based User Authentication Method Using Flick Input for Mobile Terminals Kaoru Wasai 1 Fumio Sugai 2 Yosihiro Kita 3 Mi RangPark 3 Naonobu
dews2004-final.dvi
DEWS2004 I-10-04 606 8501 E-mail: {akahoshi,hirotanaka,tanaka}@dl.kuis.kyoto-u.ac.jp A Basic Study on Ubiquitous Hypermedia Model Yuhei AKAHOSHI, Hiroya TANAKA, and Katsumi TANAKA Graduate School of Informatics,
2006 [3] Scratch Squeak PEN [4] PenFlowchart 2 3 PenFlowchart 4 PenFlowchart PEN xdncl PEN [5] PEN xdncl DNCL 1 1 [6] 1 PEN Fig. 1 The PEN
![2006 [3] Scratch Squeak PEN [4] PenFlowchart 2 3 PenFlowchart 4 PenFlowchart PEN xdncl PEN [5] PEN xdncl DNCL 1 1 [6] 1 PEN Fig. 1 The PEN](/thumbs/93/113095957.jpg "2006 [3] Scratch Squeak PEN [4] PenFlowchart 2 3 PenFlowchart 4 PenFlowchart PEN xdncl PEN [5] PEN xdncl DNCL 1 1 [6] 1 PEN Fig. 1 The PEN")
PenFlowchart 1,a) 2,b) 3,c) 2015 3 4 2015 5 12, 2015 9 5 PEN & PenFlowchart PEN Evaluation of the Effectiveness of Programming Education with Flowcharts Using PenFlowchart Wataru Nakanishi 1,a) Takeo Tatsumi
A Japanese Word Dependency Corpus ÆüËܸì¤Îñ¸ì·¸¤ê¼õ¤±¥³¡¼¥Ñ¥¹
A Japanese Word Dependency Corpus 2015 3 18 Special thanks to NTT CS, 1 /27 Bunsetsu? What is it? ( ) Cf. CoNLL Multilingual Dependency Parsing [Buchholz+ 2006] (, Penn Treebank [Marcus 93]) 2 /27 1. 2.
教職教育センター紀要 ９号☆／表紙（９）
ISSN 2186 3172 9 29 Message from the Center Director FUJIMURA Yuji Articles Consideration on Learning Related with Human Relation in Nursery Sites : Paying attention to the forms of episode description
DEIM Forum 2012 E Web Extracting Modification of Objec
DEIM Forum 2012 E4-2 670 0092 1 1 12 E-mail: nd11g028@stshse.u-hyogo.ac.jp, {dkitayama,sumiya}@shse.u-hyogo.ac.jp Web Extracting Modification of Objects for Supporting Map Browsing Junki MATSUO, Daisuke
Vol. 9 No. 5 Oct. 2002 (?,?) 2000 6 5 6 2 3 6 4 5 2 A B C D 132
2000 6 5 6 :, Supporting Conference Program Production Using Natural Language Processing Technologies Hiromi itoh Ozaku Masao Utiyama Masaki Murata Kiyotaka Uchimoto and Hitoshi Isahara We applied natural
finalrep.dvi
18 Building a Knowledge Management System for Acquiring Wisdom of Crowds 1095701 2007 3 16 Blog Wiki Web Web Web i Abstract Building a Knowledge Management System for Acquiring Wisdom of Crowds Kazunori
IPSJ SIG Technical Report Vol.2011-EC-19 No /3/ ,.,., Peg-Scope Viewer,,.,,,,. Utilization of Watching Logs for Support of Multi-
1 3 5 4 1 2 1,.,., Peg-Scope Viewer,,.,,,,. Utilization of Watching Logs for Support of Multi-View Video Contents Kosuke Niwa, 1 Shogo Tokai, 3 Tetsuya Kawamoto, 5 Toshiaki Fujii, 4 Marutani Takafumi,
<> <name> </name> <body> <></> <> <title> </title> <item> </item> <item> 11 </item> </>... </body> </> 1 XML Web XML HTML 1 name item 2 item item HTML
DEWS2008 C6-4 XML 606-8501 E-mail: yyonei@db.soc.i.kyoto-u.ac.jp, {iwaihara,yoshikawa}@i.kyoto-u.ac.jp XML XML XML, Abstract Person Retrieval on XML Documents by Coreference that Uses Structural Features
( : A8TB2163)
2011 2012 3 26 ( : A8TB2163) ( A B [1] A B A B B i 1 1 2 3 2.1... 3 2.1.1... 3 2.1.2... 4 2.2... 5 3 7 3.1... 7 3.2... 7 3.3 A B... 7 4 8 4.1... 8 4.1.1... 9 4.1.2... 9 4.1.3... 9 4.1.4... 10 4.2 A B...
Vol.6 No (Aug. 2013) Twitter 1,a) , Twitter Twitter Study of Twitter s Follow Mechanism Based on Network
Twitter 1,a) 1 2 3 2012 11 3 2013 1 25, 2013 3 27 Twitter Twitter Study of Twitter s Follow Mechanism Based on Network Analysis Akihiro Koide 1,a) Kazumi Saito 1 Kazuhiro Kazama 2 Fujio Toriumi 3 Received:
& Vol.5 No (Oct. 2015) TV 1,2,a) , Augmented TV TV AR Augmented Reality 3DCG TV Estimation of TV Screen Position and Ro
TV 1,2,a) 1 2 2015 1 26, 2015 5 21 Augmented TV TV AR Augmented Reality 3DCG TV Estimation of TV Screen Position and Rotation Using Mobile Device Hiroyuki Kawakita 1,2,a) Toshio Nakagawa 1 Makoto Sato
Vol. 48 No. 4 Apr LAN TCP/IP LAN TCP/IP 1 PC TCP/IP 1 PC User-mode Linux 12 Development of a System to Visualize Computer Network Behavior for L
Vol. 48 No. 4 Apr. 2007 LAN TCP/IP LAN TCP/IP 1 PC TCP/IP 1 PC User-mode Linux 12 Development of a System to Visualize Computer Network Behavior for Learning to Associate LAN Construction Skills with TCP/IP
Vol. 45 No Web ) 3) ),5) 1 Fig. 1 The Official Gazette. WTO A
Vol. 45 No. 8 Aug. 2004, 1999 11 (1) (2) (3) 2003 7 Digital Evidence Enhancement for the Japanese Official Gazette Data Providing Services Atsuko Umezawa,, Hiroyuki Ueno, Yukio Miyata, Yasuharu Saikawa,
2009/9 Vol. J92 D No. 9 HTML [3] Microsoft PowerPoint Apple Keynote OpenOffice Impress XML 4 1 (A) (C) (F) 2. 2. 1 1484 Fig. 1 1 An example of slide i
![2009/9 Vol. J92 D No. 9 HTML [3] Microsoft PowerPoint Apple Keynote OpenOffice Impress XML 4 1 (A) (C) (F) 2. 2. 1 1484 Fig. 1 1 An example of slide i](/thumbs/39/20176621.jpg "2009/9 Vol. J92 D No. 9 HTML [3] Microsoft PowerPoint Apple Keynote OpenOffice Impress XML 4 1 (A) (C) (F) 2. 2. 1 1484 Fig. 1 1 An example of slide i")
a) Structure Extraction from Presentation Slide Information Tessai HAYAMA a), Hidetsugu NANBA, and Susumu KUNIFUJI Web 1. Web Graduate School of Knowledge Science, Japan Advanced Institute of Science and
_314I01BM浅谷2.indd
587 ネットワークの表現学習 1 1 1 1 Deep Learning [1] Google [2] Deep Learning [3] [4] 2014 Deepwalk [5] 1 2 [6] [7] [8] 1 2 1 word2vec[9] word2vec 1 http://www.ai-gakkai.or.jp/my-bookmark_vol31-no4 588 31 4 2016
24 Region-Based Image Retrieval using Fuzzy Clustering
24 Region-Based Image Retrieval using Fuzzy Clustering 1130323 2013 3 9 Visual-key Image Retrieval(VKIR) k-means Fuzzy C-means 2 200 2 2 20 VKIR 5 18% 54% 7 30 Fuzzy C-means i Abstract Region-Based Image
[2] OCR [3], [4] [5] [6] [4], [7] [8], [9] 1 [10] Fig. 1 Current arrangement and size of ruby. 2 Fig. 2 Typography combined with printing
![[2] OCR [3], [4] [5] [6] [4], [7] [8], [9] 1 [10] Fig. 1 Current arrangement and size of ruby. 2 Fig. 2 Typography combined with printing](/thumbs/93/112070099.jpg "[2] OCR [3], [4] [5] [6] [4], [7] [8], [9] 1 [10] Fig. 1 Current arrangement and size of ruby. 2 Fig. 2 Typography combined with printing")
1,a) 1,b) 1,c) 2012 11 8 2012 12 18, 2013 1 27 WEB Ruby Removal Filters Using Genetic Programming for Early-modern Japanese Printed Books Taeka Awazu 1,a) Masami Takata 1,b) Kazuki Joe 1,c) Received: November
IPSJ SIG Technical Report Vol.2016-CE-137 No /12/ e β /α α β β / α A judgment method of difficulty of task for a learner using simple
1 2 3 4 5 e β /α α β β / α A judgment method of difficulty of task for a learner using simple electroencephalograph Katsuyuki Umezawa 1 Takashi Ishida 2 Tomohiko Saito 3 Makoto Nakazawa 4 Shigeichi Hirasawa
Vol.54 No (Mar. 2013) 1,a) , A Case Study of the Publication of Information on the Japan Earthquake Naoto Matsumoto 1,a
1,a) 2012 6 1, 2012 12 20 A Case Study of the Publication of Information on the Japan Earthquake Naoto Matsumoto 1,a) Received: June 1, 2012, Accepted: December 20, 2012 Abstract: On the disasters, the
GNH Gross National Happiness Criteria living standard cultural diversity emotional well being health education time use eco-system community vitality
GNH Gross National Happiness Criteria living standard cultural diversity emotional well being health education time use eco-system community vitality good governance Dimensions and Indicators of GNH The
DEIM Forum 2019 D3-5 Web Yahoo! JAPAN Q&A Web Web
DEIM Forum 2019 D3-5 Web 565 0871 1 5 Yahoo! JAPAN 102 8282 1 3 E-mail: {nakamura.tatsuya,hara}@ist.osaka-u.ac.jp, sufujita@yahoo-corp.jp Q&A Web Web Q&A Web Web 1 Web Web Web [2], [3], [10] Web Web [8],
,, WIX. 3. Web Index 3. 1 WIX WIX XML URL, 1., keyword, URL target., WIX, header,, WIX. 1 entry keyword 1 target 1 keyword target., entry, 1 1. WIX [2
DEIM Forum 2013 B10-4 Web Index 223-8522 3-14-1 E-mail: haseshun@db.ics.keio.ac.jp, toyama@ics.keio.ac.jp, URL WIX, Web Web Index(WIX). WIX, WIX.,,. Web Index, Web, Web,, Related Contents Recommendation
2007/2 Vol. J90 D No Web 2. 1 [3] [2], [11] [18] [14] YELLOW [16] [8] tfidf [19] 2. 2 / 30% 90% [24] 2. 3 [4], [21] 428
![2007/2 Vol. J90 D No Web 2. 1 [3] [2], [11] [18] [14] YELLOW [16] [8] tfidf [19] 2. 2 / 30% 90% [24] 2. 3 [4], [21] 428](/thumbs/91/105553984.jpg "2007/2 Vol. J90 D No Web 2. 1 [3] [2], [11] [18] [14] YELLOW [16] [8] tfidf [19] 2. 2 / 30% 90% [24] 2. 3 [4], [21] 428")
Informative Summarization Method by Key Sentences Extraction Considering Sub-Topics Naoki SAGARA, Wataru SUNAYAMA, and Masahiko YACHIDA 1. 1990 WWW World Wide Web Web [15] Graduate School of Engineering
IPSJ SIG Technical Report Vol.2011-DBS-153 No /11/3 Wikipedia Wikipedia Wikipedia Extracting Difference Information from Multilingual Wiki
Wikipedia 1 2 3 Wikipedia Wikipedia Extracting Difference Information from Multilingual Wikipedia Yuya Fujiwara, 1 Yu Suzuki 2 and Akiyo Nadamoto 3 There are multilingual articles on the Wikipedia. The
Vol.54 No (July 2013) [9] [10] [11] [12], [13] 1 Fig. 1 Flowchart of the proposed system. c 2013 Information
![Vol.54 No (July 2013) [9] [10] [11] [12], [13] 1 Fig. 1 Flowchart of the proposed system. c 2013 Information](/thumbs/91/104959916.jpg "Vol.54 No (July 2013) [9] [10] [11] [12], [13] 1 Fig. 1 Flowchart of the proposed system. c 2013 Information")
Vol.54 No.7 1937 1950 (July 2013) 1,a) 2012 11 1, 2013 4 5 1 Similar Sounds Sentences Generator Based on Morphological Analysis Manner and Low Class Words Masaaki Kanakubo 1,a) Received: November 1, 2012,
2reN-A14.dvi
340 30 1 SP2-N 2015 Onomatoperori : Ranking Cooking Recipes by using Onomatopoeias which Express their Tastes and Textures Chiemi Watanabe Satoshi Nakamura Graduate School of Systems and Information Engineering,
第６２巻 第１号 平成２４年４月／石こうを用いた木材ペレット
Bulletin of Japan Association for Fire Science and Engineering Vol. 62. No. 1 (2012) Development of Two-Dimensional Simple Simulation Model and Evaluation of Discharge Ability for Water Discharge of Firefighting
<95DB8C9288E397C389C88A E696E6462>
2011 Vol.60 No.2 p.138 147 Performance of the Japanese long-term care benefit: An International comparison based on OECD health data Mie MORIKAWA[1] Takako TSUTSUI[2] [1]National Institute of Public Health,
1., 1 COOKPAD 2, Web.,,,,,,.,, [1]., 5.,, [2].,,.,.,, 5, [3].,,,.,, [4], 33,.,,.,,.. 2.,, 3.., 4., 5., ,. 1.,,., 2.,. 1,,
![1., 1 COOKPAD 2, Web.,,,,,,.,, [1]., 5.,, [2].,,.,.,, 5, [3].,,,.,, [4], 33,.,,.,,.. 2.,, 3.., 4., 5., ,. 1.,,., 2.,. 1,,](/thumbs/50/25936361.jpg "1., 1 COOKPAD 2, Web.,,,,,,.,, [1]., 5.,, [2].,,.,.,, 5, [3].,,,.,, [4], 33,.,,.,,.. 2.,, 3.., 4., 5., ,. 1.,,., 2.,. 1,,")
THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS TECHNICAL REPORT OF IEICE.,, 464 8601 470 0393 101 464 8601 E-mail: matsunagah@murase.m.is.nagoya-u.ac.jp, {ide,murase,hirayama}@is.nagoya-u.ac.jp,
1. [5] Wikipedia 4. ( ) Wikipedia 5. 3 ( ) ( ) ( ) Wikipedia ( ) ( ) 2.2 Global Database of Events, Language and Tone (GDELT) Global Datab
![1. [5] Wikipedia 4. ( ) Wikipedia 5. 3 ( ) ( ) ( ) Wikipedia ( ) ( ) 2.2 Global Database of Events, Language and Tone (GDELT) Global Datab](/thumbs/91/105576848.jpg "1. [5] Wikipedia 4. ( ) Wikipedia 5. 3 ( ) ( ) ( ) Wikipedia ( ) ( ) 2.2 Global Database of Events, Language and Tone (GDELT) Global Datab")
GDELT Multifacet comparative analysis of newspaper articles from different conutries - Analysis based on Global Database of Events, Language and Tone (GDELT) - 1 2 Masaharu Yoshioka 1 Noriko Kando 2 1
Vol.55 No (Jan. 2014) saccess 6 saccess 7 saccess 2. [3] p.33 * B (A) (B) (C) (D) (E) (F) *1 [3], [4] Web PDF a m
![Vol.55 No (Jan. 2014) saccess 6 saccess 7 saccess 2. [3] p.33 * B (A) (B) (C) (D) (E) (F) *1 [3], [4] Web PDF a m](/thumbs/92/108648363.jpg "Vol.55 No (Jan. 2014) saccess 6 saccess 7 saccess 2. [3] p.33 * B (A) (B) (C) (D) (E) (F) *1 [3], [4] Web PDF a m")
Vol.55 No.1 2 15 (Jan. 2014) 1,a) 2,3,b) 4,3,c) 3,d) 2013 3 18, 2013 10 9 saccess 1 1 saccess saccess Design and Implementation of an Online Tool for Database Education Hiroyuki Nagataki 1,a) Yoshiaki
3_39.dvi
Vol. 49 No. 3 Mar. 2008 Web 1 2 PC Web Web Windows Web Access Watchdog Systems for Children Protection Tatsumi Ueda 1 and Yoshiaki Takai 2 For today s children, the Internet is one of the most familiar
Izard 10 [1]Plutchik 8 [2] [3] Izard Neviarouskaya [4][5] 2.2 Hao [6] 1 Twitter[a] a) Shook Wikipedia
![Izard 10 [1]Plutchik 8 [2] [3] Izard Neviarouskaya [4][5] 2.2 Hao [6] 1 Twitter[a] a) Shook Wikipedia](/thumbs/76/74386738.jpg "Izard 10 [1]Plutchik 8 [2] [3] Izard Neviarouskaya [4][5] 2.2 Hao [6] 1 Twitter[a] a) Shook Wikipedia")
1 2 2 2 Visualization for Spatiotemporal Distribution of People's Rich Emotions KIYOHISA TAGUCHI 1 KAZUO MISUE 2 JIRO TANAKA 2 To grasp spatiotemporal changes of rich emotions for a large number of people,
SNS GIS Abstract The Tourism-based Country Promotion Basic Act was enacted in Japan over a decade ago. Tourism is expected to be the primary contribut
SNS GIS Abstract The Tourism-based Country Promotion Basic Act was enacted in Japan over a decade ago. Tourism is expected to be the primary contributing factor toward the economic activation of Japan
23 The Study of support narrowing down goods on electronic commerce sites
23 The Study of support narrowing down goods on electronic commerce sites 1120256 2012 3 15 i Abstract The Study of support narrowing down goods on electronic commerce sites Masaki HASHIMURA Recently,
41_08.dvi
Vol. 2 No. 1 93 103 (Mar. 2009) Splog 1 2 CGM Consumer Generated Media web splog splog splog suffix array splog Splog Filtering Method Based on Copy String Detection Takaharu Takeda 1 and Atsuhiro Takasu
untitled
580 26 5 SP-G 2011 AI An Automatic Question Generation Method for a Local Councilor Search System Yasutomo KIMURA Hideyuki SHIBUKI Keiichi TAKAMARU Hokuto Ototake Tetsuro KOBAYASHI Tatsunori MORI Otaru
Vol. 48 No. 3 Mar PM PM PMBOK PM PM PM PM PM A Proposal and Its Demonstration of Developing System for Project Managers through University-Indus
Vol. 48 No. 3 Mar. 2007 PM PM PMBOK PM PM PM PM PM A Proposal and Its Demonstration of Developing System for Project Managers through University-Industry Collaboration Yoshiaki Matsuzawa and Hajime Ohiwa
[12] Qui [6][7] Google N-gram[11] Web ( 4travel 5, 6 ) ( 7 ) ( All About 8 ) (1) (2) (3) 3 3 (1) (2) (3) (a) ( (b) (c) (d) (e) (1
![[12] Qui [6][7] Google N-gram[11] Web ( 4travel 5, 6 ) ( 7 ) ( All About 8 ) (1) (2) (3) 3 3 (1) (2) (3) (a) ( (b) (c) (d) (e) (1](/thumbs/89/98789829.jpg "[12] Qui [6][7] Google N-gram[11] Web ( 4travel 5, 6 ) ( 7 ) ( All About 8 ) (1) (2) (3) 3 3 (1) (2) (3) (a) ( (b) (c) (d) (e) (1")
RD-003 Building a Database of Purpose for Action from Word-of-mouth on the Web y Hiromi Wakaki y Hiroko Fujii y Michiaki Ariga y Kazuo Sumita y Kouta Nakata y Masaru Suzuki 1 ().com 1 Amazon 2 3 [10] 2007
% 95% 2002, 2004, Dunkel 1986, p.100 1
Blended Learning 要 旨 / Moodle Blended Learning Moodle キーワード:Blended Learning Moodle 1 2008 Moodle e Blended Learning 2009.. 1994 2005 1 2 93% 95% 2002, 2004, 2011 2011 1 Dunkel 1986, p.100 1 Blended Learning
日本感性工学会論文誌
Vol.13 No.2 pp.391-402 2014 PROGRESS Consideration of the Transition in Mitsubishi Electric Corporate Website Design Transition in Response to Environmental Change and Record through the Case of Corporate
7,, i
23 Research of the authentication method on the two dimensional code 1145111 2012 2 13 7,, i Abstract Research of the authentication method on the two dimensional code Karita Koichiro Recently, the two
, IT.,.,..,.. i
25 To construct the system that promote a interactive method as a knowledge acquisition 1140317 2014 2 28 , IT.,.,..,.. i Abstract To construct the system that promote a interactive method as a knowledge
DEIM Forum 2009 E
DEIM Forum 2009 E5-3 464-8601 1 606-8501 464 8601 1 E-mail: lifushi@arch.itc.nagoya-u.ac.jp, mayumi@mm.media.kyoto-u.ac.jp, {hirano,kajita,mase}@itc.nagoya-u.ac.jp Abstract Study on a Recipe Recommendation
27 YouTube YouTube UGC User Generated Content CDN Content Delivery Networks LRU Least Recently Used UGC YouTube CGM Consumer Generated Media CGM CGM U
YouTube 2016 2 16 27 YouTube YouTube UGC User Generated Content CDN Content Delivery Networks LRU Least Recently Used UGC YouTube CGM Consumer Generated Media CGM CGM UGC UGC YouTube k-means YouTube YouTube
( ) [1] [4] ( ) 2. [5] [6] Piano Tutor[7] [1], [2], [8], [9] Radiobaton[10] Two Finger Piano[11] Coloring-in Piano[12] ism[13] MIDI MIDI 1 Fig. 1 Syst
![( ) [1] [4] ( ) 2. [5] [6] Piano Tutor[7] [1], [2], [8], [9] Radiobaton[10] Two Finger Piano[11] Coloring-in Piano[12] ism[13] MIDI MIDI 1 Fig. 1 Syst](/thumbs/91/107597950.jpg "( ) [1] [4] ( ) 2. [5] [6] Piano Tutor[7] [1], [2], [8], [9] Radiobaton[10] Two Finger Piano[11] Coloring-in Piano[12] ism[13] MIDI MIDI 1 Fig. 1 Syst")
情報処理学会インタラクション 2015 IPSJ Interaction 2015 15INT014 2015/3/7 1,a) 1,b) 1,c) Design and Implementation of a Piano Learning Support System Considering Motivation Fukuya Yuto 1,a) Takegawa Yoshinari 1,b) Yanagi
16−ª1“ƒ-07‘¬ŠÑ
The purpose of this study is to clarify a process that Awa dance developed into tourist resources and the factors that it spread out in all over Japan. Consideration was made with the memory magazines,
9_18.dvi
Vol. 49 No. 9 3180 3190 (Sep. 2008) 1, 2 3 1 1 1, 2 4 5 6 1 MRC 1 23 MRC Development and Applications of Multiple Risk Communicator Ryoichi Sasaki, 1, 2 Yuu Hidaka, 3 Takashi Moriya, 1 Katsuhiro Taniyama,
Key Words: probabilisic scenario earthquake, active fault data, Great Hanshin earthquake, low frequency-high impact earthquake motion, seismic hazard map 3) Cornell, C. A.: Engineering Seismic
17 Proposal of an Algorithm of Image Extraction and Research on Improvement of a Man-machine Interface of Food Intake Measuring System
1. (1) ( MMI ) 2. 3. MMI Personal Computer(PC) MMI PC 1 1 2 (%) (%) 100.0 95.2 100.0 80.1 2 % 31.3% 2 PC (3 ) (2) MMI 2 ( ),,,, 49,,p531-532,2005 ( ),,,,,2005,p66-p67,2005 17 Proposal of an Algorithm of
Fig. 3 3 Types considered when detecting pattern violations 9)12) 8)9) 2 5 methodx close C Java C Java 3 Java 1 JDT Core 7) ) S P S
1 1 1 Fig. 1 1 Example of a sequential pattern that is exracted from a set of method definitions. A Defect Detection Method for Object-Oriented Programs using Sequential Pattern Mining Goro YAMADA, 1 Norihiro
R927清水信彦様.indd
Special Issue CFRP 455-8502 9 1 Development Status of Carbon Fiber Reinforced Plastics Nobuhiko SHIMIZU Automotive Center, Toray Industries, Inc., 9-1 Oe-cho, Minato-ku, Nagoya, Aichi 455-8502 Received
‰gficŒõ/’ÓŠ¹
The relationship between creativity of Haiku and idea search space YOSHIDA Yasushi This research examined the relationship between experts' ranking of creative Haiku (a Japanese character poem including
Publish/Subscribe KiZUNA P2P 2 Publish/Subscribe KiZUNA 2. KiZUNA 1 Skip Graph BF Skip Graph BF Skip Graph Skip Graph Skip Graph DDLL 2.1 Skip Graph S
KiZUNA: P2P 1,a) 1 1 1 P2P KiZUNA KiZUNA Pure P2P P2P 1 Skip Graph ALM(Application Level Multicast) Pub/Sub, P2P Skip Graph, Bloom Filter KiZUNA: An Implementation of Distributed Microblogging Service
johnny-paper2nd.dvi
13 The Rational Trading by Using Economic Fundamentals AOSHIMA Kentaro 14 2 26 ( ) : : : The Rational Trading by Using Economic Fundamentals AOSHIMA Kentaro abstract: Recently Artificial Markets on which
Mining Social Network of Conference Participants from the Web
Social Network Mining Social network Semantic Web, KM, Our lives are enormously influenced by relations to others. SNS Mixi, myspace, LiveJournal, Yahoo!360 FOAF WebBlog Web mining Social network mining
1 AND TFIDF Web DFIWF Wikipedia Web Web 2. 3. 4. AND 5. Wikipedia AND 6. Wikipedia Web 7. 8. 2. Ma [4] Ma URL AND Tian [8] Tian Tian Web Cimiano [3] [
![1 AND TFIDF Web DFIWF Wikipedia Web Web 2. 3. 4. AND 5. Wikipedia AND 6. Wikipedia Web 7. 8. 2. Ma [4] Ma URL AND Tian [8] Tian Tian Web Cimiano [3] [](/thumbs/41/22779750.jpg "1 AND TFIDF Web DFIWF Wikipedia Web Web 2. 3. 4. AND 5. Wikipedia AND 6. Wikipedia Web 7. 8. 2. Ma [4] Ma URL AND Tian [8] Tian Tian Web Cimiano [3] [")
DEIM Forum 2015 B1-5 606 8501 606 8501 E-mail: komurasaki@dl.kuis.kyoto-u.ac.jp, tajima@i.kyoto-u.ac.jp Web Web AND AND Web 1. Twitter Facebook SNS Web Web Web Web [5] Bollegala [2] Web Web 1 Google Microsoft
SERPWatcher SERPWatcher SERP Watcher SERP Watcher,
SERPWatcher 112-8610 2-1-1 112-8610 2-1-1 229-8558 5-10-1 E-mail: nakabe@db.is.ocha.ac.jp, chiemi@is.ocha.ac.jp SERPWatcher SERP Watcher SERP Watcher, SERP Analysis of transition of ranking in SERP Watcher
1 Fig. 1 Extraction of motion,.,,, 4,,, 3., 1, 2. 2.,. CHLAC,. 2.1,. (256 ).,., CHLAC. CHLAC, HLAC. 2.3 (HLAC ) r,.,. HLAC. N. 2 HLAC Fig. 2
CHLAC 1 2 3 3,. (CHLAC), 1).,.,, CHLAC,.,. Suspicious Behavior Detection based on CHLAC Method Hideaki Imanishi, 1 Toyohiro Hayashi, 2 Shuichi Enokida 3 and Toshiaki Ejima 3 We have proposed a method for
HASC2012corpus HASC Challenge 2010,2011 HASC2011corpus( 116, 4898), HASC2012corpus( 136, 7668) HASC2012corpus HASC2012corpus
HASC2012corpus 1 1 1 1 1 1 2 2 3 4 5 6 7 HASC Challenge 2010,2011 HASC2011corpus( 116, 4898), HASC2012corpus( 136, 7668) HASC2012corpus HASC2012corpus: Human Activity Corpus and Its Application Nobuo KAWAGUCHI,
ICT Web Web ICT Web 2. 新 学 習 指 導 要 領 の 理 念 と 教 育 の 情 報 化 の 意 義 2-1 新 学 習 指 導 要 領 の 理 念 20 3 23 1 ICT 2
30 2012 Web キーワード Web CIRRI Educational Method and Technology, Elementary School, School Library Website, Information Literacy, CIRRI Contents Model 1.はじめに ICTInformation and Communication Technology :
Input image Initialize variables Loop for period of oscillation Update height map Make shade image Change property of image Output image Change time L
1,a) 1,b) 1/f β Generation Method of Animation from Pictures with Natural Flicker Abstract: Some methods to create animation automatically from one picture have been proposed. There is a method that gives
DEIM Forum 2010 A Web Abstract Classification Method for Revie
DEIM Forum 2010 A2-2 305 8550 1 2 305 8550 1 2 E-mail: s0813158@u.tsukuba.ac.jp, satoh@slis.tsukuba.ac.jp Web Abstract Classification Method for Reviews using Degree of Mentioning each Viewpoint Tomoya