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ABSTRACT
Conservative recent estimates of the Web's current size refer to its 10 billion documents and a growth rate that tops 60 terabytes of new information per day [8]. In 2000 the entire World-Wide Web consisted of just 21 terabytes of information, now it grows by 3 times this every single day [5]. This growth frames the information overload problem that is threatening to stall the information revolution going forward. In short, users are finding it increasingly difficult to locate the right information at the right time in the right way. Search engine technologies are struggling to cope with the sheer quantity of information that is available, a problem that is greatly exacerbated by the apparent inability of Web users to formulate effective search queries that accurately reflect their current information needs.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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1
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Daniel Billsus , Michael J. Pazzani , James Chen, A learning agent for wireless news access, Proceedings of the 5th international conference on Intelligent user interfaces, p.33-36, January 09-12, 2000, New Orleans, Louisiana, United States
[doi> 10.1145/325737.325768]
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2
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Boydell, O.; Gurrin, C.; Smeaton, A. F.; and Smyth, B. 2005. A Study of Selection Noise in Collaborative Web Search. In Kaelbling, L. P., and Saffiotti, A., eds., Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, 1595--1597.
|
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3
|
Freyne, J., and Smyth, B. 2005. Communities, Collaboration and Cooperation in Personalized Web Search. In Proceedings of the 3rd Workshop on Intelligent Techniques for Web personalization (ITWP'05) in conjunction with the 19th International Joint Conference on Artificial Intelligence (IJCAI '05), 73--80.
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4
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5
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Lyman, P., and Varian, H. R. 2003. How Much Information? Retrieved from http://www.sims.berkeley.edu/howmuch-info-2003/.
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6
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7
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Reiken, D. 2000. Special issue on personalization. Communications of the ACM 43(8).
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8
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Roush, W. 2004. Search Beyond Google. MIT Technology Review 34--45.
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9
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Smyth, B., and Cotter, P. 2002a. Personalized Adaptive Navigation for Mobile Portals. In Proceedings of the 15th European Conference on Artificial Intelligence -- Prestigious Applications of Artificial Intelligence. IOS Press.
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10
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11
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Barry Smyth , Evelyn Balfe , Jill Freyne , Peter Briggs , Maurice Coyle , Oisin Boydell, Exploiting Query Repetition and Regularity in an Adaptive Community-Based Web Search Engine, User Modeling and User-Adapted Interaction, v.14 n.5, p.383-423, January 2005
[doi> 10.1007/s11257-004-5270-4]
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12
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Smyth, B.; Balfe, E.; Boydell, O.; Bradley, K.; Briggs, P.; Coyle, M.; and Freyne, J. 2005. A Live-user Evaluation of Collaborative Web Search. In Proceedings of the 19th International Joint Conference on Artificial Intelligence (IJCAI '05), 1419--1424. Morgan Kaufmann. Edinburgh, Scotland.
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