Automatic suggestion of query-rewrite rules for enterprise search

SIGIR'12 - Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval

Volumn , Issue , 2012, Pages 591-600

  Bao, Zhuowei ^a   Kimelfeld, Benny ^b   Li, Yunyao ^b  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b IBM ALMADEN RESEARCH CENTER   (United States)

Author keywords

enterprise search; query reformulation; query rewrite rules

Indexed keywords

CLASSIFICATION APPROACH; COMPLEXITY THEORY; COMPUTATIONAL PROBLEM; DOMAIN EXPERTS; DOMAIN SPECIFIC; ENTERPRISE SEARCHES; EXPERIMENTAL STUDIES; HEURISTIC APPROACH; INTRANET SEARCH; LARGE DATASETS; MACHINE-LEARNING; QUERY REFORMULATION; QUERY-REWRITE RULES; RELEVANT DOCUMENTS; REWRITE RULES; SEARCH RESULTS;

HEURISTIC METHODS; INFORMATION RETRIEVAL; OPTIMIZATION; SEARCH ENGINES; SEMANTICS;

INDUSTRY;

EID: 84866620457     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2348283.2348363     Document Type: Conference Paper

References (24)

1. G. Agarwal, G. Kabra, and K. C.-C. Chang. Towards rich query interpretation: walking back and forth for mining query templates. In WWW, pages 1-10, 2010.
2. O. Alhabashneh, R. Iqbal, N. Shah, S. Amin, and A. E. James. Towards the development of an integrated framework for enhancing enterprise search using latent semantic indexing. In ICCS, pages 346-352, 2011.
3. R. A. Baeza-Yates, C. A. Hurtado, and M. Mendoza. Query recommendation using query logs in search engines. In EDBT Workshops, volume 3268 of Lecture Notes in Computer Science, pages 588-596, 2004.
4. B. Billerbeck, F. Scholer, H. E. Williams, and J. Zobel. Query expansion using associated queries. In CIKM, pages 2-9, 2003.
5. A. Z. Broder and A. C. Ciccolo. Towards the next generation of enterprise search technology. IBM Systems Journal, 43(3):451-454, 2004.
6. N. Craswell, D. Hawking, and S. E. Robertson. Effective site finding using link anchor information. In SIGIR, pages 250-257, 2001.
7. P. A. Dmitriev, N. Eiron, M. Fontoura, and E. J. Shekita. Using annotations in enterprise search. In WWW, pages 811-817, 2006.
8. R. Fagin, B. Kimelfeld, Y. Li, S. Raghavan, and S. Vaithyanathan. Understanding queries in a search database system. In PODS, pages 273-284, 2010.
9. R. Fagin, B. Kimelfeld, Y. Li, S. Raghavan, and S. Vaithyanathan. Rewrite rules for search database systems. In PODS, pages 271-282, 2011.
10. R. Fagin, R. Kumar, K. S. McCurley, J. Novak, D. Sivakumar, J. A. Tomlin, and D. P. Williamson. Searching the workplace web. In WWW, pages 366-375, 2003.
11. D. Hawking. Challenges in enterprise search. In ADC, volume 27 of CRPIT, pages 15-24, 2004.
12. D. Hawking. Enterprise search - the new frontier? In ECIR, volume 3936 of Lecture Notes in Computer Science, page 12, 2006.
13. R. Jones, B. Rey, O. Madani, and W. Greiner. Generating query substitutions. In WWW, pages 387-396, 2006.
14. R. Kraft and J. Y. Zien. Mining anchor text for query refinement. In WWW, pages 666-674, 2004.
15. Y. Li, R. Krishnamurthy, S. Vaithyanathan, and H. V. Jagadish. Getting work done on the web: supporting transactional queries. In SIGIR, pages 557-564, 2006.
16. W.-Y. Loh and Y.-S. Shih. Split selection methods for classification trees. Statistica Sinica, 7:815-840, 1997.
17. W.-Y. Loh and N. Vanichsetakul. Tree-structured classification via generalized discriminant analysis. Journal of the American Statistical Association, 83:715-728, 1988.
18. A. Malekian, C.-C. Chang, R. Kumar, and G. Wang. Optimizing query rewrites for keyword-based advertising. In EC, pages 10-19, 2008.
19. U. Ozertem, E. Velipasaoglu, and L. Lai. Suggestion set utility maximization using session logs. In CIKM, pages 105-114, 2011.
20. I. Szpektor, A. Gionis, and Y. Maarek. Improving recommendation for long-tail queries via templates. In WWW, 2011.
21. S. Vaithyanathan. Building search systems for the enterprise, 2011. SIGIR'11 industrial track keynote.
22. Z. Zhang and O. Nasraoui. Mining search engine query logs for query recommendation. In WWW, pages 1039-1040, 2006.
23. H. Zhu, S. Raghavan, S. Vaithyanathan, and A. Löser. Navigating the intranet with high precision. In WWW, pages 491-500, 2007.
24. D. Zuckerman. Linear degree extractors and the inapproximability of max clique and chromatic number. Theory of Computing, 3(1):103-128, 2007.