Query Suggestions for Textual Problem Solution Repositories

Deepak Padmanabhan, Sutanu Chakraborti, Deepak Khemani

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)


Textual problem-solution repositories are available today in
various forms, most commonly as problem-solution pairs from community
question answering systems. Modern search engines that operate on
the web can suggest possible completions in real-time for users as they
type in queries. We study the problem of generating intelligent query
suggestions for users of customized search systems that enable querying
over problem-solution repositories. Due to the small scale and specialized
nature of such systems, we often do not have the luxury of depending on
query logs for finding query suggestions. We propose a retrieval model
for generating query suggestions for search on a set of problem solution
pairs. We harness the problem solution partition inherent in such
repositories to improve upon traditional query suggestion mechanisms
designed for systems that search over general textual corpora. We evaluate
our technique over real problem-solution datasets and illustrate that
our technique provides large and statistically significant
Original languageEnglish
Title of host publicationAdvances in Information Retrieval - 35th European Conference on IR Research, ECIR 2013, Moscow, Russia, March 24-27, 2013. Proceedings.
Number of pages13
Publication statusPublished - 2013
EventECIR 2013 - Russia, Moscow, Russian Federation
Duration: 23 Mar 201327 Mar 2013


ConferenceECIR 2013
Country/TerritoryRussian Federation


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