Impact of Product Review Summarization and Personalization on Online Consumers' Decisions: An Experimental Study
Pages 189 - 190
Abstract
E-commerce platforms have a plethora of information available online in the form of online product reviews and product ratings. Although these product reviews are very helpful to consumers for making their buying decisions, it becomes very difficult to extract relevant information pertaining to product features. In this study, we extend personalization to online product reviews by integrating literature from information systems, computer science and social psychology to understand how task complexity varies in different information environments. In a controlled laboratory experiment users took buying decisions in three different information environments: unstructured voluminous reviews, structured with aspect level summarization of reviews and personalized information by providing personalization based on the stated preferences of the user.
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Ghose, A., & Ipeirotis., P. 2007. Designing novel review ranking systems: predicting the usefulness and impact of reviews. International Conference on Electronic Commerce 2007 (Minneapolis, MN, USA, 2007), 303--310.
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Index Terms
- Impact of Product Review Summarization and Personalization on Online Consumers' Decisions: An Experimental Study
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Published In
June 2017
220 pages
ISBN:9781450350372
DOI:10.1145/3084381
- Conference Chairs:
- Rajendra K. Bandi,
- Rajiv Kishore,
- Program Chairs:
- Daniel Beimborn,
- Rajeev Sharma,
- Shirish C. Srivastava
Copyright © 2017 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
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Association for Computing Machinery
New York, NY, United States
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Published: 21 June 2017
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SIGMIS-CPR '17
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