Journal ArticleDOI
Further Experiments on Collaborative Ranking in Community-Based Web Search
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TLDR
A novel approach to using context in Web search that seeks to personalize the results of a generic search engine for the needs of a specialist community of users is described.Abstract:
As the search engine arms-race continues, search engines are constantly looking for ways to improve the manner in which they respond to user queries. Given the vagueness of Web search queries, recent research has focused on ways to introduce context into the search process as a means of clarifying vague, under-specified or ambiguous query terms. In this paper we describe a novel approach to using context in Web search that seeks to personalize the results of a generic search engine for the needs of a specialist community of users. In particular we describe two separate evaluations in detail that demonstrate how the collaborative search method has the potential to deliver significant search performance benefits to end-users while avoiding many of the privacy and security concerns that are commonly associated with related personalization research.read more
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Journal ArticleDOI
Recommender system application developments
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Methods, systems and apparatus for delivery of media
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Journal ArticleDOI
Exploiting Query Repetition and Regularity in an Adaptive Community-Based Web Search Engine
TL;DR: It is argued that I-SPY strikes a useful balance between search personalization and user privacy, by offering a unique form of anonymous personalization, and in doing so may very well provide privacy-conscious Web users with an acceptable approach to personalized search.
References
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Journal ArticleDOI
The anatomy of a large-scale hypertextual Web search engine
Sergey Brin,Lawrence Page +1 more
TL;DR: This paper provides an in-depth description of Google, a prototype of a large-scale search engine which makes heavy use of the structure present in hypertext and looks at the problem of how to effectively deal with uncontrolled hypertext collections where anyone can publish anything they want.
Journal Article
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Sergey Brin,Lawrence Page +1 more
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Proceedings ArticleDOI
Topic-sensitive PageRank
TL;DR: A set of PageRank vectors are proposed, biased using a set of representative topics, to capture more accurately the notion of importance with respect to a particular topic, and are shown to generate more accurate rankings than with a single, generic PageRank vector.
Journal Article
Placing search in context: the concept revisited.
Lev Finkelstein,Evgeniy Gabrilovich,Yossi Matias,Ehud Rivlin,Zach Solan,Gadi Wolfman,Eytan Ruppin +6 more
TL;DR: A new conceptual paradigm for performing search in context is presented, that largely automates the search process, providing even non-professional users with highly relevant results.
Proceedings Article
Letizia: an agent that assists web browsing
TL;DR: Letizia is a user interface agent that assists a user browsing the World Wide Web by automates a browsing strategy consisting of a best-first search augmented by heuristics inferring user interest from browsing behavior.