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Context aware query classification using dynamic query window and relationship net

Published: 19 July 2010 Publication History

Abstract

The context of the user queries, preceding a given query, is utilized to improve the effectiveness of query classification. Earlier efforts utilize fixed number of preceding queries to derive such context information. We propose and evaluate an approach (DQW) that identifies a set of unambiguous preceding queries in a dynamically determined window to utilize in classifying an ambiguous query. Furthermore, utilizing a relationship-net (R-net) that represents relationships among known categories, we improve the classification effectiveness for those ambiguous queries whose predicted category in this relationship-net is related to the category of a query within the window. Our results indicate that the hybrid approach (DQW+R-net) statistically significantly improves the Conditional Random Field (CRF) query classification approach when static query windowing and hierarchical taxonomy are used (SQW+Tax), in terms of precision (10.8%), recall (13.2%), and F1 measure (11.9%).

References

[1]
Cao, H., Hu, D. H., Shen, D., Jiang, D., Sun, J., Chen, E., and Yang, Q., Context-aware query classification. SIGIR, 2009
[2]
Lafferty, J. D., McCallum, A., and Pereira, F. C., Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data. ICML, 2001
[3]
Mengle, S., Goharian, N., Ambiguity measure feature-selection algorithm. JASIST, 60(5), 2009
[4]
Mengle, S., Goharian, N., Detecting relationships among categories using text classification. JASIST, 61(5), 2010

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  1. Context aware query classification using dynamic query window and relationship net

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    cover image ACM Conferences
    SIGIR '10: Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
    July 2010
    944 pages
    ISBN:9781450301534
    DOI:10.1145/1835449
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Published: 19 July 2010

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    Overall Acceptance Rate 792 of 3,983 submissions, 20%

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