Abstract
Web search increasingly deals with structured data about people, places and things, their attributes and relationships. In such an environment an important sub-problem is matching a user’s unstructured free-text query to a set of relevant entities. For example, a user might request ‘Olympic host cities’. The most challenging general problem is to find relevant entities, of the correct type and characteristics, based on a free-text query that need not conform to any single ontology or category structure. This paper presents an entity ranking relevance feedback model, based on example entities specified by the user or on pseudo feedback. It employs the Wikipedia category structure, but augments that structure with ‘smooth categories’ to deal with the sparseness of the raw category information. Our experiments show the effectiveness of the proposed method, whether applied as a pseudo relevance feedback method or interactively with the user in the loop.
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References
Bailey, P., Craswell, N., De Vries, A., Soboroff, I.: Overview of the TREC 2007 Enterprise Track. In: Proceedings of TREC 2007, Gaithersburg, MD (2008)
Balog, K., Bron, M., de Rijke, M.: Category-based query modeling for entity search. In: Gurrin, C., He, Y., Kazai, G., Kruschwitz, U., Little, S., Roelleke, T., Rüger, S., van Rijsbergen, K. (eds.) ECIR 2010. LNCS, vol. 5993, pp. 319–331. Springer, Heidelberg (2010)
Bast, H., Chitea, A., Suchanek, F., Weber, I.: Ester: efficient search on text, entities, and relations. In: SIGIR 2007, pp. 671–678. ACM, New York (2007)
Cheng, T., Chang, K.: Entity Search Engine: Towards Agile Best-Effort Information Integration over the Web. In: CIDR 2007, pp. 108–113 (2007)
Cheng, T., Yan, X., Chang, K.C.-C.: Entityrank: Searching entities directly and holistically. In: Proceedings of VLDB, pp. 387–398 (2007)
Demartini, G., Firan, C., Iofciu, T., Krestel, R., Nejdl, W.: Why finding entities in wikipedia is difficult, sometimes. Information Retrieval 13(5), 534–567 (2010)
Demartini, G., Missen, M.M.S., Blanco, R., Zaragoza, H.: Entity summarization of news articles. In: SIGIR, pp. 795–796 (2010)
Denoyer, L., Gallinari, P.: The Wikipedia XML corpus. ACM SIGIR Forum. 40(1), 64–69 (2006)
Huang, Z., Chung, W., Ong, T., Chen, H.: A graph-based recommender system for digital library. In: Proceedings of the 2nd ACM/IEEE-CS Joint Conference on Digital Libraries, pp. 65–73. ACM, New York (2002)
Kumar, R., Tomkins, A.: A characterization of online search behavior. IEEE Data Eng. Bull. (2009)
Page, L., Brin, S., Motwani, R., Winograd, T.: The pagerank citation ranking: Bringing order to the web (1998)
Pehcevski, J., Vercoustre, A.-M., Thom, J.A.: Exploiting locality of wikipedia links in entity ranking. In: Macdonald, C., Ounis, I., Plachouras, V., Ruthven, I., White, R.W. (eds.) ECIR 2008. LNCS, vol. 4956, pp. 258–269. Springer, Heidelberg (2008)
Rode, H., Serdyukov, P., Hiemstra, D.: Combining document- and paragraph-based entity ranking. In: SIGIR, pp. 851–852 (2008)
Ruthven, I., Lalmas, M.: A Survey on the Use of Relevance Feedback for Information Access Systems. Knowl. Eng. Rev. 18(2), 95–145 (2003)
Serdyukov, P., Balog, K., Thomas, P., Vries, A., Westerveld, T.: Overview of the TREC 2009 Entity Track (2009)
Tsikrika, T., Serdyukov, P., Rode, H., Westerveld, T., Aly, R., Hiemstra, D., de Vries, A.P.: Structured document retrieval, multimedia retrieval, and entity ranking using pF/Tijah. In: Fuhr, N., Kamps, J., Lalmas, M., Trotman, A. (eds.) INEX 2007. LNCS, vol. 4862, pp. 306–320. Springer, Heidelberg (2008)
Vallet, D., Zaragoza, H.: Inferring the most important types of a query: a semantic approach. In: SIGIR, pp. 857–858 (2008)
de Vries, A.P., Vercoustre, A.-M., Thom, J.A., Craswell, N., Lalmas, M.: Overview of the INEX 2007 entity ranking track. In: Fuhr, N., Kamps, J., Lalmas, M., Trotman, A. (eds.) INEX 2007. LNCS, vol. 4862, pp. 245–251. Springer, Heidelberg (2008)
Yilmaz, E., Kanoulas, E., Aslam, J.A.: A simple and efficient sampling method for estimating ap and ndcg. In: SIGIR, pp. 603–610 (2008)
Zaragoza, H., Rode, H., Mika, P., Atserias, J., Ciaramita, M., Attardi, G.: Ranking very many typed entities on wikipedia. In: CIKM, pp. 1015–1018 (2007)
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Iofciu, T., Demartini, G., Craswell, N., de Vries, A.P. (2011). ReFER: Effective Relevance Feedback for Entity Ranking. In: Clough, P., et al. Advances in Information Retrieval. ECIR 2011. Lecture Notes in Computer Science, vol 6611. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20161-5_26
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DOI: https://doi.org/10.1007/978-3-642-20161-5_26
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