FindiLike: A preference driven entity search engine for evaluating entity retrieval and opinion summarization

Kavita Ganesan, Chengxiang Zhai

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

Abstract

We describe a novel preference-driven search engine (Findi-Like) which allows users to find entities of interest based on preferences and also allows users to digest opinions about the retrieved entities easily. FindiLike leverages large amounts of online reviews about various entities, and ranks entities based on how well their associated reviews match a user's preference query (expressed in keywords). FindiLike then uses abstractive summarization techniques to generate concise opinion summaries to enable users to digest the opinions about an entity. We discuss how the system can be extended to support in situ evaluation of two interesting new tasks, i.e., opinion-based entity ranking and abstractive summarization of opinions. The system is currently supporting hotel search and being extended to support in situ evaluation of these two tasks. We will demonstrate the system in the domain of hotel search and show how in situ evaluation can be supported through natural user interaction with the system.

Original languageEnglish (US)
Title of host publicationLivingLab 2013 - Proceedings of the Workshop on Living Labs for Information Retrieval Evaluation, Co-located with CIKM 2013
Pages19-22
Number of pages4
DOIs
StatePublished - Dec 11 2013
EventWorkshop on Living Labs for Information Retrieval Evaluation, LivingLab 2013 - Co-located with the 22nd ACM International Conference on Information and Knowledge Management, CIKM 2013 - San Francisco, CA, United States
Duration: Nov 1 2013Nov 1 2013

Publication series

NameInternational Conference on Information and Knowledge Management, Proceedings

Other

OtherWorkshop on Living Labs for Information Retrieval Evaluation, LivingLab 2013 - Co-located with the 22nd ACM International Conference on Information and Knowledge Management, CIKM 2013
CountryUnited States
CitySan Francisco, CA
Period11/1/1311/1/13

Keywords

  • Entity ranking
  • Evaluation
  • Summarization

ASJC Scopus subject areas

  • Decision Sciences(all)
  • Business, Management and Accounting(all)

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