Abstract
Conventional context-aware recommendation systems do not provide information before user action, although they provide information considering users’ ongoing activity. However, users want to know prior information such as how to go to their destination or get necessary items when they plan to do outdoor activities such as climbing and sightseeing. It takes time to collect the prior information since it is not so easy to appropriately find them. This paper proposes a method for extracting prior advices from the web. The method first identifies whether a given sentence is an advice or not. Then the method identifies whether the sentence is a prior advice or not if the sentence is identified as advice. In this paper, we will show availability of the proposed method through our experimentation. We also developed a system for providing prior information using the proposed method.
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References
Baldauf, M., Dustdar, S., Rosenberg, F.: A survey on context-aware systems. International Journal of Ad Hoc and Ubiquitous Computing 2(4), 263–277 (2007)
Cheverst, K., Davies, N., Mitchell, K., Friday, A.: Experiences of developing and deploying a context-aware tourist guide: the GUIDE project. In: Proceedings of the 6th Annual International Conference on Mobile Computing and Networking, pp. 20–31. ACM, New York (2000)
Higashiyama, M., Inui, K., Matsumoto, Y.: Acquiring noun polarity knowledge using selectional preferences. In: Proceedings of the 14th Annual Meeting of the Association for Natural Language Processing, pp. 584–587 (2008)
Inui, K., Abe, S., Morita, H., Eguchi, M., Sumida, A., Sao, C., Hara, K., Murakami, K., Matsuyoshi, S.: Experience mining: Building a large-scale database of personal experiences and opinions from web documents. In: Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence, pp. 314–321 (2008)
Kobayashi, N., Inui, K., Matsumoto, Y., Tateishi, K., Fukushima, T.: Collecting evaluative expressions for opinion extraction. In: Proceedings of the 2nd International Joint Conference on Natural Language Processing, pp. 584–589 (2004)
Kudo, T., Yamamoto, K., Matsumoto, Y.: Applying conditional random fields to japanese morphological analysis. In: Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing, pp. 230–237 (2004)
Kurashima, T., Fujimura, K., Okuda, H.: Discovering association rules on experiences from large-scale blog entries. In: Boughanem, M., Berrut, C., Mothe, J., Soule-Dupuy, C. (eds.) ECIR 2009. LNCS, vol. 5478, pp. 546–553. Springer, Heidelberg (2009)
Oku, K., Nakajima, S., Miyazaki, J., Uemura, S., Kato, H.: A recommendation method considering users’ time series contexts. In: Proceedings of the 3rd International Conference on Ubiquitous Information Management and Communication, pp. 465–470. ACM, New York (2009)
Park, K.C., Jeong, Y., Myaeng, S.H.: Detecting experiences from weblogs. In: Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, pp. 1464–1472. Association for Computational Linguistics (2010)
Saeger, S.D., Torisawa, K., Kazama, J.: Looking for trouble. In: Proceedings of the 22nd International Conference on Computational Linguistics, pp. 185–192. Association for Computational Linguistics (2008)
van Setten, M., Pokraev, S., Koolwaaij, J.: Context-aware recommendations in the mobile tourist application COMPASS. In: International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems, pp. 235–244 (2004)
Takeuchi, K., Inui, K., Takeuchi, N., Fujita, A.: A thesaurus of predicate-argument structure for japanese verbs to deal with granularity of verb meanings. In: Proceedings of the 8th Workshop on Asian Language Resources, pp. 1–8 (2010)
Zheng, V.W., Zheng, Y., Xie, X., Yang, Q.: Collaborative location and activity recommendations with gps history data. In: Proceedings of the 19th International Conference on World Wide Web, pp. 1029–1038. ACM, New York (2010)
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Kozawa, S., Okamoto, M., Nagano, S., Cho, K., Matsubara, S. (2011). Advice Extraction from Web for Providing Prior Information Concerning Outdoor Activities. In: Tsihrintzis, G.A., Virvou, M., Jain, L.C., Howlett, R.J. (eds) Intelligent Interactive Multimedia Systems and Services. Smart Innovation, Systems and Technologies, vol 11. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22158-3_25
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DOI: https://doi.org/10.1007/978-3-642-22158-3_25
Publisher Name: Springer, Berlin, Heidelberg
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