Share on Facebook Tweet on Twitter Share on LinkedIn Share by email
Summarization of Multiple User Reviews in the Restaurant Domain

Milind Mahajan, Patrick Nguyen, and Geoffrey Zweig

Abstract

We discuss an automatic review summarization system whose goal is to provide a set of useful fragments, called snippets, from a collection of user reviews about a restaurant. The goal is to produce a small summary per restaurant for use in a spoken dialog system. The system comprises three stages: 1) judging overall relevance of snippets, 2) categorizing snippets and, 3) selecting the most relevant snippets per category to eliminate redundancy. We provide about 6 to 12 snippets per restaurant. There are over 200k restaurants in our database, containing about 24M words of reviews written about them. In a user study, our snippet selection was substantially preferred over the baseline system of random snippet selection. The system is featured in the United States as a toll-free number 1-877-456-DATA.

Details

Publication typeTechReport
NumberMSR-TR-2007-126
Pages18
InstitutionMicrosoft Research
> Publications > Summarization of Multiple User Reviews in the Restaurant Domain