Information Processing and Management: an International Journal - Artificial Intelligence and Information Retrieval
I3R: a new approach to the design of document retrieval systems
Journal of the American Society for Information Science
Information retrieval interaction
Information retrieval interaction
Experiences with selecting search engines using metasearch
ACM Transactions on Information Systems (TOIS)
Improving automatic query expansion
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Authoritative sources in a hyperlinked environment
Proceedings of the ninth annual ACM-SIAM symposium on Discrete algorithms
User interactions with everyday applications as context for just-in-time information access
Proceedings of the 5th international conference on Intelligent user interfaces
Accessibility of information on the Web
intelligence
SearchPad: explicit capture of search context to support Web search
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
DEADLINER: building a new niche search engine
Proceedings of the ninth international conference on Information and knowledge management
Placing search in context: the concept revisited
Proceedings of the 10th international conference on World Wide Web
Communications of the ACM
Personalized hypermedia and international privacy
Communications of the ACM - The Adaptive Web
Proceedings of the 11th international conference on World Wide Web
Information Retrieval
Improving Category Specific Web Search by Learning Query Modifications
SAINT '01 Proceedings of the 2001 Symposium on Applications and the Internet (SAINT 2001)
Wrapper induction for information extraction
Wrapper induction for information extraction
Letizia: an agent that assists web browsing
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Searching the Web: general and scientific information access
IEEE Communications Magazine
Provenance, Trust, and Sharing in Peer-to-Peer Case-Based Web Search
ECCBR '08 Proceedings of the 9th European conference on Advances in Case-Based Reasoning
Collaborative web search: a robustness analysis
Artificial Intelligence Review
Finding My Needle in the Haystack: Effective Personalized Re-ranking of Search Results in Prospector
EC-Web 2009 Proceedings of the 10th International Conference on E-Commerce and Web Technologies
Personalization of tagging systems
Information Processing and Management: an International Journal
Vers la définition du contexte d'un utilisateur mobile de système de recherche d'information
Proceedings of the 5th French-Speaking Conference on Mobility and Ubiquity Computing
The influence of personalization on tag query length in social media search
Information Processing and Management: an International Journal
The task-dependent effect of tags and ratings on social media access
ACM Transactions on Information Systems (TOIS)
A framework for the evaluation of adaptive IR systems through implicit recommendation
ICCS'11 Proceedings of the 19th international conference on Conceptual structures for discovering knowledge
Data Mining and Knowledge Discovery
An online framework for supporting the evaluation of personalised information retrieval systems
iUBICOM'11 Proceedings of the 6th international conference on Ubiquitous and Collaborative Computing
Improving search via personalized query expansion using social media
Information Retrieval
Personalised Information Retrieval: survey and classification
User Modeling and User-Adapted Interaction
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We present an innovative approach to Web search, called collaborative search, that seeks to cope with the type of vague queries that are commonplace in Web search. We do this by leveraging the search behaviour of previous searchers to personalize future result-lists according to the implied preferences of a community of like-minded individuals. This technique is implemented in the I-SPY meta-search engine and we present the results of a live-user trial which indicates that I-SPY can offer improved search performance when compared to a benchmark search engine, across a variety of performance metrics. In addition, I-SPY achieves its level of personalization while preserving the anonymity of individual users, and we argue that this offers unique privacy benefits compared to alternative approaches to personalization.