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Guihong Cao

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Publications by Guihong Cao (bibliography)

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» 2008 «

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Cao, Guihong, Nie, Jian-Yun, Gao, Jianfeng and Robertson, Stephen (2008): Selecting good expansion terms for pseudo-relevance feedback. In: Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval 2008. pp. 243-250. Available online

Pseudo-relevance feedback assumes that most frequent terms in the pseudo-feedback documents are useful for the retrieval. In this study, we re-examine this assumption and show that it does not hold in reality -- many expansion terms identified in traditional approaches are indeed unrelated to the query and harmful to the retrieval. We also show that good expansion terms cannot be distinguished from bad ones merely on their distributions in the feedback documents and in the whole collection. We then propose to integrate a term classification process to predict the usefulness of expansion terms. Multiple additional features can be integrated in this process. Our experiments on three TREC collections show that retrieval effectiveness can be much improved when term classification is used. In addition, we also demonstrate that good terms should be identified directly according to their possible impact on the retrieval effectiveness, i.e. using supervised learning, instead of unsupervised learning.

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Shi, Lixin, Nie, Jian-Yun and Cao, Guihong (2008): Relating dependent indexes using dempster-shafer theory. In: Shanahan, James G., Amer-Yahia, Sihem, Manolescu, Ioana, Zhang, Yi, Evans, David A., Kolcz, Aleksander, Choi, Key-Sun and Chowdhury, Abdur (eds.) Proceedings of the 17th ACM Conference on Information and Knowledge Management - CIKM 2008 October 26-30, 2008, Napa Valley, California, USA. pp. 429-438. Available online

» 2007 «

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Bai, Jing, Nie, Jian-Yun, Cao, Guihong and Bouchard, Hugues (2007): Using query contexts in information retrieval. In: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval 2007. pp. 15-22. Available online

User query is an element that specifies an information need, but it is not the only one. Studies in literature have found many contextual factors that strongly influence the interpretation of a query. Recent studies have tried to consider the user's interests by creating a user profile. However, a single profile for a user may not be sufficient for a variety of queries of the user. In this study, we propose to use query-specific contexts instead of user-centric ones, including context around query and context within query. The former specifies the environment of a query such as the domain of interest, while the latter refers to context words within the query, which is particularly useful for the selection of relevant term relations. In this paper, both types of context are integrated in an IR model based on language modeling. Our experiments on several TREC collections show that each of the context factors brings significant improvements in retrieval effectiveness.

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Cao, Guihong, Gao, Jianfeng, Nie, Jian-Yun and Bai, Jing (2007): Extending query translation to cross-language query expansion with markov chain models. In: Silva, Mario J., Laender, Alberto H. F., Baeza-Yates, Ricardo A., McGuinness, Deborah L., Olstad, Bjørn, Olsen, Øystein Haug and Falcão, André O. (eds.) Proceedings of the Sixteenth ACM Conference on Information and Knowledge Management - CIKM 2007 November 6-10, 2007, Lisbon, Portugal. pp. 351-360. Available online

» 2006 «

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Cao, Guihong, Nie, Jian-Yun and Bai, Jing (2006): Constructing better document and query models with markov chains. In: Yu, Philip S., Tsotras, Vassilis J., Fox, Edward A. and Liu, Bing (eds.) Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management November 6-11, 2006, Arlington, Virginia, USA. pp. 800-801. Available online

» 2005 «

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Bai, Jing, Song, Dawei, Bruza, Peter, Nie, Jian-Yun and Cao, Guihong (2005): Query expansion using term relationships in language models for information retrieval. In: Herzog, Otthein, Schek, Hans-Jörg and Fuhr, Norbert (eds.) Proceedings of the 2005 ACM CIKM International Conference on Information and Knowledge Management October 31 - November 5, 2005, Bremen, Germany. pp. 688-695. Available online

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Bai, Jing, Nie, Jian-Yun and Cao, Guihong (2005): Integrating Compound Terms in Bayesian Text Classification. In: Skowron, Andrzej, Agrawal, Rakesh, Luck, Michael, Yamaguchi, Takahira, Morizet-Mahoudeaux, Pierre, Liu, Jiming and Zhong, Ning (eds.) 2005 IEEE / WIC / ACM International Conference on Web Intelligence WI 2005 19-22 September, 2005, Compiegne, France. pp. 598-601. Available online

» 2004 «

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Gao, Jianfeng, Nie, Jian-Yun, Wu, Guangyuan and Cao, Guihong (2004): Dependence language model for information retrieval. In: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval 2004. pp. 170-177. Available online

This paper presents a new dependence language modeling approach to information retrieval. The approach extends the basic language modeling approach based on unigram by relaxing the independence assumption. We integrate the linkage of a query as a hidden variable, which expresses the term dependencies within the query as an acyclic, planar, undirected graph. We then assume that a query is generated from a document in two stages: the linkage is generated first, and then each term is generated in turn depending on other related terms according to the linkage. We also present a smoothing method for model parameter estimation and an approach to learning the linkage of a sentence in an unsupervised manner. The new approach is compared to the classical probabilistic retrieval model and the previously proposed language models with and without taking into account term dependencies. Results show that our model achieves substantial and significant improvements on TREC collections.

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Changes to this page (author)

16 Feb 2010: Enabled abstracts to be shown on Guihong Cao's author page.
30 May 2009: Author was edited
30 May 2009: Author was edited
29 May 2009: Author was edited
29 May 2009: Author was edited
29 May 2009: Author was edited
29 May 2009: Author was edited
08 Apr 2009: Author was edited
12 May 2008: Author was edited
24 Jun 2007: Author was added to the bibliography

Publication statistics

Publication period:2004-2008
Publication count:8
Number of co-authors:9



Productive colleagues

Guihong Cao's 3 most productive colleagues in number of publications:

Jian-Yun Nie:26
Stephen Robertson:16
Peter Bruza:15


Collaboration count

Number of publications with 3 favourite co-authors:

Jian-Yun Nie:8
Jing Bai:5
Jianfeng Gao:3

 

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Learn more about Guihong Cao:
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Mar 11

My devil's dictionary definition for an Intelligent Agent is a query program with a user interface that is so obscure that you must anthropomorphize it in order to account for its behavior.

-- Jaron Lanier

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