RETHINKING THE PRESENTATION OF RESULTS FROM WEB SEARCH (FriPmOR2)

Author(s) : Rahul Singh (San Francisco State University, United States of America) Ya-Wen Hsu (San Francisco State University, United States of America) Wen-Cheng Sun (San Francisco State University, United States of America) Dil Chitaure (San Francisco State University, United States of America) Liu Yan (San Francisco State University, United States of America)

Abstract : This paper presents a novel approach to presentation of results from web-search by utilizing the semantic correlations amongst the retrieved results as well as their spatio-temporal characteristics. The fundamental goals of this research are threefold; first it seeks to facilitate easier access to information than what is provided by the current paradigm of listing the retrieved hits in order of relevance. Second, and more importantly, it attempts to recognize, retain, and present context within the retrieved data. Such support is essential for assimilation of the information obtained as the consequence of a query. Finally, it seeks to support both direct search behavior as well as more exploratory search strategies. In this paper we describe the algorithmic underpinnings, based on Latent Semantic Analysis, of our approach as well as the strategy for spatio-temporal information display and querying. Examples involving different types of queries and comparative experiments illustrate the idea and verify its efficacy.

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