NDLI: Efficient Computation of Diverse Query Results

Content Provider	IEEE Xplore Digital Library
Author	Vee, E. Srivastava, U. Shanmugasundaram, J. Bhat, P. Yahia, S.A.
Copyright Year	2008
Description	Author affiliation: Yahoo! Res., Sunnyvale, CA (Vee, E.; Srivastava, U.; Shanmugasundaram, J.; Bhat, P.; Yahia, S.A.)
Abstract	We study the problem of efficiently computing diverse query results in online shopping applications, where users specify queries through a form interface that allows a mix of structured and content-based selection conditions. Intuitively, the goal of diverse query answering is to return a representative set of top-k answers from all the tuples that satisfy the user selection condition. For example, if a user is searching for Honda cars and we can only display five results, we wish to return cars from five different Honda models, as opposed to returning cars from only one or two Honda models. A key contribution of this paper is to formally define the notion of diversity, and to show that existing score based techniques commonly used in web applications are not sufficient to guarantee diversity. Another contribution of this paper is to develop novel and efficient query processing techniques that guarantee diversity. Our experimental results using Yahoo! Autos data show that our proposed techniques are scalable and efficient.
Starting Page	228
Ending Page	236
File Size	1091665
Page Count	9
File Format	PDF
ISBN	9781424418367
DOI	10.1109/ICDE.2008.4497431
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-04-07
Publisher Place	Mexico
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Web search Cameras Keyword search Web pages Optimization methods Information retrieval Search engines Content based retrieval Computer interfaces Optical computing
Content Type	Text
Resource Type	Article

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