A ranking framework for entity oriented search using Markov Random fields

Hadas Raviv, David Carmel, Oren Kurland

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

Abstract

In this work we present a general model for entity ranking that is based on the Markov Random Field approach for modeling various types of dependencies between the query and the entity. We show that this model actually extends existing approaches for entity ranking while aggregating all pieces of relevance evidences in a unified way. We evaluated the performance of our model using the INEX datasets. Our results show that our ranking model significantly out- performs leading INEX systems in the tracks of 2007 and 2008, and is equivalent to the best results achieved in the 2009 track.

Original languageEnglish
Title of host publicationProceedings of 1st Joint International Workshop on Entity-Oriented and Semantic Search, JIWES'12 - Co-located with the 35th ACM SIGIR Conference
DOIs
StatePublished - 2012
Event1st Joint International Workshop on Entity-Oriented and Semantic Search, JIWES 2012 - Co-located with the 35th ACM SIGIR Conference - Portland, OR, United States
Duration: 12 Aug 201216 Aug 2012

Publication series

NameACM International Conference Proceeding Series

Conference

Conference1st Joint International Workshop on Entity-Oriented and Semantic Search, JIWES 2012 - Co-located with the 35th ACM SIGIR Conference
Country/TerritoryUnited States
CityPortland, OR
Period12/08/1216/08/12

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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