|| P. Anick and S. Tipirneni, “The paraphrase search assistant: Terminological feedback for iterative information seeking,” In Proceedings on the 22th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 153–159, 1999.|
 R. Armstrong, D. Freitag, T. Joachims, and T. Mitchell, “WebWatcher: A Learning Apprentice for the World Wide Web,” In Proceedings of the AAAI Spring Symposium on Information Gathering, pp. 6-12, 1995.
 P. Baldi, P. Frasconi, and P. Smyth, Modeling the Internet and the Web - Probabilistic Methods and Algorithms, Wiley & Sons, 2003.
 M. Benson, “The structure of the collocational dictionary,” In International Journal of Lexicography, 2(1), pp. 1-14, 1989.
 E. Brill, “A simple rule-based part of speech tagger, ”In Proceedings of the 3th Conference of Applied Natural Language Processing, pp. 152-155, 1992.
 P. Chan, “Constructing Web User Profiles: A Non-Invasive Learning Approach,” In Web Usage Analysis and User Profiling, LNAI 1836, Springer-Verlag, pp. 39-55, 2003.
 L. Chen and K. Sycara, “A Personal Agent for Browsing and Searching,” In Proceedings of the 2nd International Conference on Autonomous Agents, pp. 132-139, 1998.
 J. Cho and H. Garcia-Molina, “The Evolution of the Web and Implications for an Incremental Crawler,“ In Proceedings of the 26thInternational Conference on Very Large Databases, pp. 200-209 , 2000.
 Y. Choueka, “Looking for needles in a haystack or locating interesting collocations expressions in large textual databases,” In Computational Linguistics, 20(4), pp. 635-648, 1988.
 P. Ferragina and A. Gulli, "A personalized search engine based on web-snippet hierarchical clustering," Special Interest Tracks and Posters of the 14th International Conference on World Wide Web, pp. 801-810, 2005.
 K. T. Frantzi and S. Ananiadou, “Extracting nested collocations,” In Proceedings of the 16th Conference on Computational linguistics, pp. 41-46, 1996.
 K. Frantzi, S. Ananiadou, and H. Mima, “Automatic recognition of multiword terms,” In International Journal of Digital Libraries, 3(2), pp. 117-132, 2000.
 B. Fung, K. Wang, and M. Ester, “Large hierarchical document clustering using frequent itemsets,” In Proceedings of the 3th SIAM International Conference on Data Mining, pp. 59-70, 2003.
 S. Gauch , J. Chafee, and A. Pretschner, ”Ontology-based personalized search and browsing,” In Web Intelligence and Agent System, 1(3-4), pp. 219-234, 2003.
 F. Giannotti, M. Nanni, and D. Pedreschi, “Webcat: Automatic categorization of web search results,” In Proceedings of the 11th Italian Symposium on Advanced Database Systems, pp. 507-518, 2003.
 M. A. Hearst and J. O. Pedersen, ”Reexamining the Cluster Hypothesis: Scatter/Gather on Retrieval Results,” In Proceedings of 19th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 76-84, 1996.
 S. Ikehara, S. Shirai, and T. Kawaoka, “Automatic Extraction of Collocations from Very Large Japanese Corpora using N-gram Statistics,” In Transactions of Information Processing Society of Japan, 1995(11), pp. 2584-2596, 1995.
 Z. Jiang, A. Joshi, R. Krishnapuram, and Li. Yi, “Retriever: Improving web search engine results using clustering,” In Managing Business with Electronic Commerce 02, 2002.
 R. Jin, C. Falusos, and A. G. Hauptmann, “Meta-scoring: Automatically evaluating term weighting schemes in ir without precision-recall,” In Proceedings of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 83-89, 2001.
 K. Kita, Y. Kato, T. Omoto, and Y. Yano, “A comparative study of automatic extraction of collocations from corpora: Mutual information vs. cost criteria,” In Journal of Natural Language Processing, 1(1), pp. 21-33, 1994.
 J. Konstan, B. Miller, D. Maltz, J. Herlocker, L. Gordon, and J. Riedl, “GroupLens: Applying Collaborative Filtering To Usenet News,” In Communications of the ACM, 40(3), pp. 77-87, 1997.
 K. Kummamuru, R. Lotlikar, S. Roy, K. Singal, and R. Krishnapuram, “A hierarchical monothetic document clustering algorithm for summarization and browsing search results,” In Proceedings of the 13th International Conference on World Wide Web, pp. 658-665, 2004.
 T. Kurki, S. Jokela, R. Sulonen, and M. Turpeinen, “Agents in Delivering Personalized Content Based on Semantic Metadata,” In Proceedings of the 1999 AAAI Spring Symposium Workshop on Intelligent Agents in Cyberspace, pp. 84-93, 1999.
 D. J. Lawrie and W. B. Croft, “Generating hierarchical summaries for web searches,” In Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 457-458, 2003.
 D. Lawrie, W. B. Croft, and A. Rosenberg, “Finding topic words for hierarchical summarization,” In Proceedings of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 349-357, 2001.
 H. Lieberman, “Autonomous Interface Agents,” In Proceedings of the ACM Conference on Computers and Human Interaction, pp. 67-74, 1997.
 Y. S. Maarek, R. Fagin, I. Z. Ben-Shaul, and D. Pelleg, “Ephemeral document clustering for web applications,” Technical Report RJ 10186, IBM Research, 2002.
 T. Malone, K. Grant, F. Turbak, S. Brobst, and M. Cohen, “Intelligent Information Sharing Systems,” In Communications of the ACM, 30(5), pp. 390-402, 1987.
 C. D. Manning and H. Schutze, “Foundations of Statistical Natural Language Processing,” MIT Press, 2001.
 D. Mladeni, “Personal WebWatcher: Design and Implementation,” Technical Report IJS-DP-7472, J. Stefan Institute, Department for Intelligent Systems, Ljubljana, Slovenia, 1998.
 M. Montebello, W. Gray, and S. Hurley, “A Personable Evolvable Advisor for WWW Knowledge-Based Systems,” In Proceedings of the 1998 International Database Engineering and Application Symposium, pp. 224-233, 1998.
 M. Nagao and S. Mori, “A new Method of N gram Statistics for Large Number of n and Automatic Extraction of Words and Phrases from Large Text Data of Japanese,” In Proceedings of 15th International Conference on Computational Linguistics, pp. 611-615, 1994.
 S. Osinski and D. Weiss, “Conceptual clustering using lingo algorithm: Evaluation on open directory project data,” In Proceedings of 5th Conference on Intelligent Information Processing and Web Mining, pp. 369-377, 2004.
 M. Pazzani, J. Muramatsu, and D. Billsus, “Syskill & Webert: Identifying Interesting Web Sites,” In Proceedings of the 13th National Conference on Artificial Intelligence, pp. 54-61, 1996.
 A. Pretschner, “Ontology Based Personalized Search,” Master’s thesis, University of Kansas, 1999.
 J. Rucker and M. J. Polanco, “Siteseer: Personalized Navigation for the Web,” In Communications of the ACM, 40(3), pp. 73-75, 1997.
 M. Sanderson and W. B. Croft, “Deriving concept hierarchies from text,” In Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 206-213. 1999.
 J. Shavlik and T. Eliassi-Rad, “Intelligent Agents for Web-Based Tasks: An Advice-Taking Approach,” In Working Notes of the AAAI/ICML-98 Workshop on Learning for text categorization, pp. 63-70, 1998.
 B. Sheth, “A Learning Approach to Personalized Information Filtering,” Master’s thesis, Massachusetts Institute of Technology, 1994.
 J. Sinclair, “Corpus, Concordance, Collocation,” Oxbridge University Press, 1991.
 F. Smadja, “Retrieving Collocations from Text: Xtract,” In Computational Linguistics, 19(1), pp. 143-177, 1993.
 H. Sorensen and M. McElligott, “PSUN: A Profiling System for Usenet News,” In Proceedings of CIKM’95 Workshop on Intelligent Information Agents, 1995.
 A. Stefani and C. Strappavara, “Personalizing Access to Web Sites: The SiteIF Project,” In Proceedings of the 2nd Workshop on Adaptive Hypertext and Hypermedia, pp. 69-74, 1998.
 E. Terra and C. L. A. Clarke, “Frequency Estimates for statistical word similarity measures,” In Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology, pp. 165-172 , 2003.
 N. Toulas, J. Cho, and C. Olston, “What’s New on the Web? The Evolution of the Web from a Search Engine Perspective,” In Proceedings of the 13th International World Wide Web Conference, pp. 1–12, 2004.
 J. Xu and W. Croft, “Query expansion using local and global document analysis,” In Proceedings of the 19th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 4-11, 1996.
 M. Yamamoto and K. W. Church, “Using suffix arrays to compute term frequency and document frequency for all substrings in a corpus,” In Computational Linguistics, 27(1), pp. 1-30, 2001.
 O. Zamir and O. Etzioni, “Grouper: a dynamic clustering interface to Web search results,” In Proceedings of the 8th International World Wide Web Conference, pp. 1-12, 1999.
 H. Zeng, Q. He, Z. Chen, W. Ma, and J. Ma, “Learning to cluster web search results,” In Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 210-217, 2004.
 D. Zhang and Y. Dong, “Semantic, hierarchical, online clustering of web search results,” In Proceedings of the 6th Asia Pacific Web Conference. pp. 69-78, 2004.