Collaborative Querying for Enhanced Information Retrieval

Author:

Fu Lin,Goh Dion Hoe-Lian,Foo Schubert Shou-Boon,Supangat Yohan

Publisher

Springer Berlin Heidelberg

Reference21 articles.

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2. Anick, P.G.: Using terminological feedback for web search refinement: A log-based study. In: Proceedings of SIGIR 2003, pp. 88–95 (2003)

3. Altavista home page (2004), http://www.altavista.com Retrieved on March 4

4. Askjeeves home page(2004), http://www.ask.com Retrieved on March 9

5. Bruza, P.D., Dennis, S.: Query reformulation on the Internet: Empirical data and the Hyperindex search engine. In: Proceedings of the RIAO 1997 Conference, pp. 488–499 (1997)

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1. Examining collaborative query reformulation;Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval;2014-07-03

2. Beyond practices: A field study of the contextual factors impacting collaborative information seeking;Proceedings of the American Society for Information Science and Technology;2012

3. A Hierarchical Query Clustering Algorithm for Collaborative Querying;Research and Advanced Technology for Digital Libraries;2006

4. The Effect of Lexical Relationships on the Quality of Query Clusters;Digital Libraries: Achievements, Challenges and Opportunities;2006

5. Evaluating the Effectiveness of a Collaborative Querying Environment;Digital Libraries: Implementing Strategies and Sharing Experiences;2005

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