Using Reviewers' Expertise to Rank Product Reviews

Rathaur, Suryabhan (2016) Using Reviewers' Expertise to Rank Product Reviews. Masters thesis, Indian Institute of Technology Hyderabad.

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Abstract

E-commerce websites are increasingly using user-supplied reviews to make the decision making experience better for the users. However increasing online presence of users has resulted in numerous amount of reviews in these online portals. Reading all these reviews is not expected of users and online portals do provide ranking of reviews based on helpfulness as a solution. However these methodologies are not perfect and so new reviews even if they might be of good quality do get ignored. Also experience of user is not taken into account. Here we propose an approach to improve the ranking mechanism by including the experience of a user as a factor and also incorporating the concept of a domain expert. Further on, we examine the idea of related categories when finding domain experts. We use Amazon data set to implement our methodology and report our findings.

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IITH Creators:
IITH CreatorsORCiD
Item Type: Thesis (Masters)
Uncontrolled Keywords: Product Reviews, Online Reviews, Domain Expertise, TD573
Subjects: Computer science > Big Data Analytics
Divisions: Department of Computer Science & Engineering
Depositing User: Library Staff
Date Deposited: 30 Jun 2016 10:18
Last Modified: 30 Jun 2016 10:18
URI: http://raiith.iith.ac.in/id/eprint/2508
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