Enhancing web search result lists using interaction histories

Authors:
Maurice Coyle;Barry Smyth
Affiliations:
Smart Media Institute, Department of Computer Science, University College Dublin, Dublin 4, Ireland;Smart Media Institute, Department of Computer Science, University College Dublin, Dublin 4, Ireland
Venue:
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
Year:
2005

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Abstract

As a method for information retrieval (IR) on the Web, search engines have become the tool of choice for most online users. However, despite the variety of next generation approaches to Web search we have seen recently (e.g. [1,2]), the problems of information overload, vague user queries and spam still have the effect that many search sessions end in user frustration. Generally search engines are criticised for returning result lists that have low precision, where the user's information need is not satisfied by any of the returned result pages.