The search duel: A response to a strong ranker

Peter Izsak, Fiana Raiber, Oren Kurland, Moshe Tennenholtz

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

How can a search engine with a relatively weak relevance ranking function compete with a search engine that has a much stronger ranking function? This dual challenge, which to the best of our knowledge has not been addressed in previous work, entails an interesting bi-modal utility function for the weak search engine. That is, the goal is to produce in response to a query a document result list whose effectiveness does not fall much behind that of the strong search engine; and, which is quite different than that of the strong engine. We present a per-query algorithmic approach that leverages fundamental retrieval principles such as pseudofeedback- based relevance modeling. We demonstrate the merits of our approach using TREC data.

Original languageEnglish
Title of host publicationSIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval
Pages919-922
Number of pages4
DOIs
StatePublished - 2014
Event37th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2014 - Gold Coast, QLD, Australia
Duration: 6 Jul 201411 Jul 2014

Publication series

NameSIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval

Conference

Conference37th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2014
Country/TerritoryAustralia
CityGold Coast, QLD
Period6/07/1411/07/14

Keywords

  • Dueling algorithms
  • Search engine competition

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Information Systems

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