WII-D 2017 (1) (2) (1) (2) [Tanaka 07] [ 04] [ 10] [ 13, 13], [ 08] [ 13] (1) (2) 2 2 e.g., Wikipedia [ 14] Wikipedia [ 14] Linked Open
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1 Web 2017 Original Paper Supporting Exploratory Information Access Based on Comic Content Information 1 Ryo Yamashita Byeongseon Park Mitsunori Matsushita Nomura Research Institute, LTD. r-yamashita@nri.co.jp Faculty of Informatics, Kansai University k281401@kansai-u.ac.jp mat@res.kutc.kansai-u.ac.jp keywords: comic computing, exploratory search, hlda, TF-IDF, review analysis Summary The purpose of this research is supporting information access based on the contents of comic books. To meet this purpose, it is necessary to obtain information related to the story and the characters of a comic. We propose a method to extract information from reviews on the Web by using term frequency-inversed document frequency (TF- IDF) method and hierarchical Latent Dirichlet Allocation (hlda) method, which intends to solve the problem. By using these methods, we build a prototype system for exploratory comic search. We conducted a user study to observe how a participant use the system. The user study showed that the system successfully supported the participants to find interesting unread comics ,700 e.g., 1 honto 2 Wikipedia e.g., [Cohn 13, Jacobs 14] [ 97] e.g., [Rigaud 15, 13]
2 WII-D 2017 (1) (2) (1) (2) [Tanaka 07] [ 04] [ 10] [ 13, 13], [ 08] [ 13] (1) (2) 2 2 e.g., Wikipedia [ 14] Wikipedia [ 14] Linked Open Data Web [ 15] [ 12] [ 15] [ 12, Hattori 14] Web [ 13] [ 15] 2 3 [ 14] [ 12] [ 15] [ 14] Wikipedia
3 3 [ 15] [ 12] Taylor [Taylor 68] 3 2 Exploratory Search [White 09] Exploratory Search Exploratory Search Exploratory Search 3 3 Exploratory Search 3 4
4 WII-D 2017 [Iyenger 00] Web (1) (2) (3) 1.com , Term Frequency - Inverse Document Frequency (TF-IDF) TF-IDF Term - Frequency (TF) Document Frequency (DF) (LSA)[Deerwester 90] (plsa)[hoffmann 99] hierarchical Latent Dirichlet Allocation (hlda)[blei 10] hlda Latent Dirichlet Allocation (LDA)[Blei 03b] hlda nasted Chinese Restaurant Process (ncrp) [Blei 03a] 4 3 e.g., (1) (2) (3) MeCab TF-IDF 1 TF-IDF TF- IDF BLOODY MONDAY
5 5 1 BLOODY MONDAY A e.g., 1 MeCab hlda hlda hlda : hlda α γ η γ η [Blei 03b] η Exploratory Search η γ η η γ η γ (1) (2) 2 γ 3 α (1) hlda (2) e.g.,sf e.g., SF (1) (2) (3)
6 WII-D hlda 3 η γ η η 1 2 α = 1.0 η = 0.1 γ = 2.0 = A A B B C 3 B 3 A B : 6 1
7 (1) (2) A H (1) (2) (1) (3) (4) 4 4 (1) (2) (3) %
8 WII-D GOLDEN AGE GIANT KILLING : 2: 3: : (1) (2) (3) 3 4 e.g., 27 2,560 1,
9 Exploratory Search hlda 30
10 WII-D Yes No e.g., 3 9. Web 15K12103 [Blei 03a] Blei, D. M., Griffiths, T. L., Jordan, M. I., and Tenenbaum, J. B.: Hierarchical Topic Models and the Nested Chinese Restaurant Process, in Advances in Neural Information Processing Systems, Vol. 16, pp (2003) [Blei 03b] Blei, D. M., Ng, A. Y., and Jordan, M. I.: Latent Dirichlet Allocation, The Journal of Machine Learning Research, Vol. 3, pp.
![11 993 1022 (2003) [Blei 10] Blei, D. M., Griffiths, T. L., and Jordan, M. I.: The Nested Chinese Restaurant Process and Bayesian Nonparametric Inference of Topic Hierarchies, Journal of the ACM, Vol.](/docs-images/92/108593098/images/11-0.jpg "57(2), No. 7, pp. 1 30 (2010) [Cohn 13] Cohn, N.")
![: The Visual Language of Comics: Introduction to the Structure and Cognition of Sequential Images, Bloomsbury Publishing (2013) [Deerwester 90] Deerwester, S., Dumais, S. T., Furnas, G. W.](/docs-images/92/108593098/images/11-1.jpg ", Landauer, T. K., and Harshman, R.: Indexing by Latent Semantic Analysis, Journal of the American Society for Information Science, Vol. 41, No. 6, pp. 391 407 (1990) [ 12],,, 1, pp.")
![1 5 (2012) [Hattori 14] Hattori, S. and Takama, Y.: Recommender System Employing Personal-value-based User Model, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.](/docs-images/92/108593098/images/11-2.jpg "18, No. 2, pp. 157 165 (2014) [ 15], Web,, Vol. 30, No. 1, pp. 102 111 (2015) [Hoffmann 99] Hoffmann, T.: Probabilistic Latent Semantic Indexing, in Proc.")
11 (2003) [Blei 10] Blei, D. M., Griffiths, T. L., and Jordan, M. I.: The Nested Chinese Restaurant Process and Bayesian Nonparametric Inference of Topic Hierarchies, Journal of the ACM, Vol. 57(2), No. 7, pp (2010) [Cohn 13] Cohn, N.: The Visual Language of Comics: Introduction to the Structure and Cognition of Sequential Images, Bloomsbury Publishing (2013) [Deerwester 90] Deerwester, S., Dumais, S. T., Furnas, G. W., Landauer, T. K., and Harshman, R.: Indexing by Latent Semantic Analysis, Journal of the American Society for Information Science, Vol. 41, No. 6, pp (1990) [ 12],,, 1, pp. 1 5 (2012) [Hattori 14] Hattori, S. and Takama, Y.: Recommender System Employing Personal-value-based User Model, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 18, No. 2, pp (2014) [ 15], Web,, Vol. 30, No. 1, pp (2015) [Hoffmann 99] Hoffmann, T.: Probabilistic Latent Semantic Indexing, in Proc. 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp (1999) [ 13],,, 75, 2, pp (2013) [ 14],,, LOD, HCG 2014, pp (2014) [Iyenger 00] Iyenger, S. S. and Lepper, M. R.: When Choice is Demotivating: Can One Desire Too Much of a Good Thing?, Journal of Personality and Social Psychology, Vol. 79, No. 6, pp (2000) [Jacobs 14] Jacobs, D.: There Are No Rules. And Here They Are : Scott McCloud s Making Comics as a Multimodal Rhetoric, Journal of Teaching Writing, Vol. 29, No. 1, pp (2014) [ 13], 2 ARG WEB, pp (2013) [ 13],,, 5, B10-1 (2013) [ 14],,,, HCG 2014, pp (2014) [ 08],, Wikipedia,, Vol FI-92, No. 105, pp (2008) [ 97], NHK (1997) [ 13],,, Fuji Film Research & Development, No. 58, pp (2013) [ 15],,, Vol. 27, No. 2, pp (2015) [Rigaud 15] Rigaud, C., Guérin, C., Karatzas, D., Burie, J.-C., and Ogier, J.-M.: Knowledge-driven Understanding of Images in Comic Books, International Journal on Document Analysis and Recognition, Vol. 18, No. 3, pp (2015) [ 12],,, 11, pp (2012) [ 15],,, Web, HCG 2015, pp (2015) [Tanaka 07] Tanaka, T., Shoji, K., Toyama, F., and Miyamichi, J.: Layout Analysis of Tree-Structured Scene Frames in Comic Images, in Proc. 20th International Joint Conference on Artificial Intelligence, pp (2007) [ 10],,,,, Vol. 64, No. 12, pp (2010) [ 13],,, 75, 4, pp (2013) [Taylor 68] Taylor, R. S.: Question-negotiation and Information Seeking in Libraries, College & Research Libraries, Vol. 29, No. 3, pp (1968) [White 09] White, R. W. and Roth, R. A.: Exploratory Search: Beyond the Query-Response Paradigm, Morgon and Claypool Publishers (2009) [ 04],,,,,, Vol. 3, No. 2, pp (2004) , , Laval Virtual Award ACM.
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