Abstract
We propose a novel type of query suggestion to support credibility-oriented Web search. When users issue queries to search for Web pages, our system collects disputed sentences about queries from the Web. Then, the system measures how typical and relevant each of the collected disputed sentences are to the given queries. Finally, the system suggests some of the most typical and relevant disputed sentences to the users. Conventional query suggestion techniques focus only on making it easy for users to search for Web pages matching their intent. Therefore, when users search for Web pages to check the credibility of specific opinions or statements, queries suggested by conventional techniques are not always useful in searching for evidence for credibility judgments. In addition, if users are not careful about the credibility of information in the Web search process, it is difficult to be aware of the existence of suspicious Web information through conventional query suggestions. Our disputed sentence suggestion enhances users’ awareness of suspicious statements so that they can search for Web pages with careful attention to them.
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References
Sillence, E., Briggs, P., Fishwick, L., Harris, P.: Trust and Mistrust of Online Health Sites. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI 2004), pp. 663–670 (2004)
Nakamura, S., Konishi, S., Jatowt, A., Ohshima, H., Kondo, H., Tezuka, T., Oyama, S., Tanaka, K.: Trustworthiness Analysis of Web Search Results. In: Kovács, L., Fuhr, N., Meghini, C. (eds.) ECDL 2007. LNCS, vol. 4675, pp. 38–49. Springer, Heidelberg (2007)
Ponte, J.M., Croft, W.B.: A language modeling approach to information retrieval. In: Proceedings of the 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 1998), pp. 275–281 (1998)
Liu, Y., Gao, B., Liu, T.Y., Zhang, Y., Ma, Z., He, S., Li, H.: BrowseRank: Letting Web Users Vote for Page Importance. In: Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2008), pp. 451–458 (2008)
Cui, H., Wen, J.R., Nie, J.Y., Ma, W.Y.: Probabilistic Query Expansion Using Query Logs. In: Proceedings of the 11th International Conference on World Wide Web (WWW 2002), pp. 325–332 (2002)
Boldi, P., Bonchi, F., Castillo, C., Vigna, S.: From “Dango” to “Japanese Cakes”: Query Reformulation Models and Patterns. In: Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI 2009), pp. 183–190 (2009)
Kotov, A., Zhai, C.: Towards natural question guided search. In: Proceedings of the 19th International Conference on World Wide Web (WWW 2010), pp. 541–550 (2010)
Suryanto, M.A., Lim, E.P., Sun, A., Chiang, R.H.L.: Quality-Aware Collaborative Question Answering: Methods and Evaluation. In: Proceedings of the Second ACM International Conference on Web Search and Data Mining (WSDM 2009), pp. 142–151 (2009)
Castillo, C., Mendoza, M., Poblete, B.: Information credibility on twitter. In: Proceedings of the 20th International Conference on World Wide Web (WWW 2011), pp. 675–684 (2011)
Schwarz, J., Morris, M.: Augmenting web pages and search results to support credibility assessment. In: Proceedings of the 2011 Annual Conference on Human Factors in Computing Systems (CHI 2011), pp. 1245–1254 (2011)
Yamamoto, Y., Tanaka, K.: Enhancing Credibility Judgment of Web Search Results. In: Proceedings of the 2011 Annual Conference on Human Factors in Computing Systems (CHI 2011), pp. 1235–1244 (2011)
Pirolli, P., Wollny, E., Suh, B.: So You Know You’re Getting the Best Possible Information: A Tool that Increases Wikipedia Credibility. In: Proceedings of the 27th International Conference on Human Factors in Computing Systems (CHI 2009), pp. 1505–1508 (2009)
Ennals, R., Trushkowsky, B., Agosta, J.M.: Highlighting Disputed Claims on the Web. In: Proceedings of the 19th International Conference on World Wide Web (WWW 2010), pp. 341–350 (2010)
Kawahara, D., Inui, K., Kurohashi, S.: Identifying contradictory and contrastive relations between statements to outline web information on a given topic. In: Proceedings of the 23rd International Conference on Computational Linguistics (COLING 2010), pp. 534–542 (2010)
Yamamoto, Y., Tezuka, T., Jatowt, A., Tanaka, K.: Supporting Judgment of Fact Trustworthiness Considering Temporal and Sentimental Aspects. In: Bailey, J., Maier, D., Schewe, K.-D., Thalheim, B., Wang, X.S. (eds.) WISE 2008. LNCS, vol. 5175, pp. 206–220. Springer, Heidelberg (2008)
Ennals, R., Byler, D., Agosta, J.M., Rosario, B.: What is disputed on the web? In: Proceedings of the 4th Workshop on Information Credibility (WICOW 2010), pp. 67–74 (2010)
Erkan, G., Radev, D.: LexRank: Graph-based lexical centrality as salience in text summarization. Journal of Artificial Intelligence Research 22, 457–479 (2004)
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Yamamoto, Y. (2012). Disputed Sentence Suggestion towards Credibility-Oriented Web Search. In: Sheng, Q.Z., Wang, G., Jensen, C.S., Xu, G. (eds) Web Technologies and Applications. APWeb 2012. Lecture Notes in Computer Science, vol 7235. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29253-8_4
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DOI: https://doi.org/10.1007/978-3-642-29253-8_4
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