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  1. Proceedings of the 2009 workshop on Web Search Click Data (WSCD '09)
  2. Optimising topical query decomposition
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Survey and evaluation of query intent detection methods
Analysis of long queries in a large scale search log
Distinguishing humans from robots in web search logs: preliminary results using query rates and intervals
Incremental learning to rank with partially-labeled data
Generating unambiguous URL clusters from web search
Topic-specific analysis of search queries
Optimising topical query decomposition
Search shortcuts using click-through data
Query suggestions using query-flow graphs
Using query logs and click data to create improved document descriptions
Intentional query suggestion: making user goals more explicit during search
Usefulness of quality click-through data for training
Comparative analysis of clicks and judgments for IR evaluation
Tailoring click models to user goals

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Optimising topical query decomposition

Content Provider ACM Digital Library
Author Sydow, Marcin Bonchi, Francesco Donato, Debora Castillo, Carlos
Abstract Topical query decomposition (TQD) is a paradigm recently introduced in [1], which, given a query, returns to the user a set of queries that cover the answer set of the original query. The TQD problem was studied as a variant of the set-cover problem and solved by means of a greedy algorithm. This paper aims to strengthen the original formulation by introducing a new global objective function, and thus formalising the problem as a combinatorial optimisation one. Such a reformulation defines a common framework allowing a formal evaluation and comparison of different approaches to TQD. We apply simulated annealing, a sub-optimal meta-heuristic, to the problem of topical query decomposition and we show, through a large experimentation on a data sample extracted from an actual query log, that such meta-heuristic achieves better results than the greedy algorithm.
Starting Page 43
Ending Page 47
Page Count 5
File Format PDF
ISBN 9781605584348
DOI 10.1145/1507509.1507516
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2009-02-09
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Query decomposition Query recommendation Query logs Simulated annealing Objective function
Content Type Text
Resource Type Article
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