NDLI: A few examples go a long way: constructing query models from elaborate query formulations

Content Provider	ACM Digital Library
Author	Weerkamp, Wouter Balog, Krisztian de Rijke, Maarten
Abstract	We address a specific enterprise document search scenario, where the information need is expressed in an elaborate manner. In our scenario, information needs are expressed using a short query (of a few keywords) together with examples of key reference pages. Given this setup, we investigate how the examples can be utilized to improve the end-to-end performance on the document retrieval task. Our approach is based on a language modeling framework, where the query model is modified to resemble the example pages. We compare several methods for sampling expansion terms from the example pages to support query-dependent and query-independent query expansion; the latter is motivated by the wish to increase "aspect recall", and attempts to uncover aspects of the information need not captured by the query. For evaluation purposes we use the CSIRO data set created for the TREC 2007 Enterprise track. The best performance is achieved by query models based on query-independent sampling of expansion terms from the example documents.
Starting Page	371
Ending Page	378
Page Count	8
File Format	PDF
ISBN	9781605581644
DOI	10.1145/1390334.1390399
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2008-07-20
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Enterprise search Query expansion Query modeling Language models
Content Type	Text
Resource Type	Article

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A few examples go a long way: constructing query models from elaborate query formulations