Query by document

Proceedings of the 2nd ACM International Conference on Web Search and Data Mining, WSDM'09

Volumn , Issue , 2009, Pages 34-43

  Yang, Yin ^a   Bansal, Nilesh ^b   Dakka, Wisam ^c   Ipeirotis, Panagiotis ^d   Koudas, Nick ^b   Papadias, Dimitris ^a  

^a HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Hong Kong)

^b UNIVERSITY OF TORONTO   (Canada)

^c GOOGLE INC   (United States)

^d NEW YORK UNIVERSITY   (United States)

Author keywords

Blog; Similarity matching; Web 2.0; Wikipedia

Indexed keywords

BLOG; BLOGGING; EXPERIMENTAL STUDIES; EXTERNAL SOURCES; IF THERE ARE; KEY-PHRASE; ON-LINE INFORMATION; QUERY DOCUMENTS; RELATED CONTENT; SEARCH INTERFACES; SIMILARITY MATCHING; SOCIAL NETWORKING SITES; WEB 2.0; WIKIPEDIA;

INFORMATION RETRIEVAL; WEBSITES;

INTERNET;

EID: 70349111073     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1498759.1498806     Document Type: Conference Paper

References (39)

1. Aalbersberg, I. Incremental Relevance Feedback. In SIGIR, 1992.
2. Bansal, N., Chiang, F., Koudas, N., Tompa, F. W. Seeking Stable Clusters in the Blogosphere. In VLDB, 2007.
3. Bansal, N., Koudas, N. BlogScope: A System for Online Analysis of High Volume Text Streams In VLDB, 2007.
4. BlogScope http://www.blogscope.net/about/
5. Church, K. W., Hanks, P. Word Association Norms, Mutual Information and Lexicography. In ACL, 1989.
6. Chandel, A., Hassanzadeh, O., Koudas, N., Sadoghi, M. Srivastava., D. Benchmarking Declarative Approximate Selection Predicates. In SIGMOD, 2007.
7. Crestani, F. Application of Spreading Activation Techniques in Information Retrieval. In Artificial Intelligence Review, 1997.
8. Cucerzan, S. Large-Scale Named Entity Disambiguation Based on Wikipedia Data. In EMNLP-CoNLL, 2007.
9. Dagan, I., Church K. Termright: Identifying and Translating Technical Terminology In ANLP 1994.
10. Efthmiadis, E. Query Expansion. In Annual Review of Information Science and Technology, 31:121-187, 1996.
11. Suchanek, M. F., Kasneci, G., Weikum, G. Yago: a core of semantic knowledge. In WWW, 2007.
12. Fagan, J. Automatic Phrase Indexing for Document Retrieval: An Examination of Syntactic and Non-Syntactic Methods. In SIGIR, 1987.
13. Feller, W. An Introduction to Probability Theory and Its Applications, Wiley, 1968.
14. Frantzi, K. T. Incorporating Context Information for the Extraction of Terms. In ACL, 1997.
15. Gravano, L., Ipeirotis, P., Koudas, N., Srivastava, D. Text Joins for Data Cleasing and Integration in an RDBMS. In WWW, 2003.
16. Gyongyi, Z., Garcia-Molina, H., Petersen, J. Combating Web Spam with TrustRank. In VLDB, 2004.
17. Harman, D. Relevance Feedback Revisited. In SIGIR, 1992.
18. Haveliwala, T. Topic-Sensitive PageRank. In WWW, 2002.
19. Ide, E. New Experiments in Relevance Feedback. In The SMART Retrieval System - Experiments in Automatic Document Processing, Prentice-Hall, 1971.
20. Levenshtein, V. Binary codes capable of correcting deletions, insertions, and reversals. In Soviet Physics Doklady 1966.
21. MacDonald, C., He, B., Plachouras, V., Ounis, I. University of Glasgow at TREC 2005: Experiments in Terabyte and Enterprise Tracks with Terrier. In TREC, 2005.
22. Manning, C., Schutze, H. Foundations and Statistical Natural Language Processing, MIT Press, 1989.
23. Medelyan, O. Computing Lexical Chains with Graph Clustering In ACL 2007.
24. Medelyan, O., Witten, I. Thesaurus Based Automatic Keyphrase Indexing In JDCL 2006.
25. Mitra, M., Buckley, C., Singhal, A., Cardie, C. An Analysis of Statistical and Sytactic Phrases. In RIAO Conference, 1997.
26. Mittendorf, E., Mateev, B., Schauble, P. Using the Co-occurrence of Words for Retrieval Weighting. In Information Retrieval, 3(3): 243-251, 2000.
27. Amazon Mechanical Turk. http://www.mturk.com
28. Pantel, P., Lin, D. A statistical corpus based term extractor Lecture notes in AI, 2001, Springer-Verlag
29. Part-of-speech tagging. http://en.wikipedia.org/wiki/Part-of-speech- tagging
30. Rocchio, J. Relevance Feedback in Information Retrieval. In The SMART Retrieval System - Experiments in Automatic Document Processing, Prentice-Hall, 1971.
31. Salton, G. and McGill, M. J. Introduction to modern information retrieval. McGraw-Hill, 1983.
32. Spink, A., Jansen, B., Ozmultu, H. Use of Query Reformulation and Relevance Feedback by Excite Users. In Internet Research: Electronic Networking Applications and Policy, 2000.
33. Tomokiyo, T., Hurst, M. A Language Model Approach to Keyphrase Extraction In ACL 2003.
34. Turney, P. D. Learning Algorithms for Keyphrase Extraction. In Information Retrieval, 2000.
35. Vechtomova, O., Karamuftuoglu, M. Approaches to High Accuracy Retrieval: Phrase-Based Search Experiments in the HARD Track. In TREC, 2004.
36. Witten, I., Paynter, G., Frank, E., Gutwin, C., Manning, G. KEA: Practical Automatic Keyphrase Extraction. In ACM DL 1999.
37. Yahoo Term Extraction Web Service. http://developer.yahoo.com/search/ content/V1/termExtraction.html
38. Zaragoza, H., Rode, H., Mika, P., Jordi, A., Ciaramita, M., Attardi, G. Ranking Very Many Typed Entities on Wikipedia. In CIKM, 2007.
39. The Future of Social Networking: Understanding Market Stratigic and Technology developments. Datamonitor, 2007.