We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
PERSONALIZED SUMMARIZATION OF CUSTOMER REVIEWS BASED ON USER'S BROWSING HISTORY.
- Authors
Kavasoğlu, Zehra; Öğüdücü, Şule Gündüz
- Abstract
Every e-commerce web site today has the product review feature which allows customers to express their opinions and comments about the product they have purchased. These comments are important for potential customers when deciding which product to buy. However, reading large amounts of customer reviews available for each product is a time consuming process. For this reason, customers usually tend to read small pieces of topmost comments and skip the rest of them. Also, depending on personal preferences and needs, customers might be interested in different features of various products. Therefore, a feature based summarization of the products is very helpful for potential customers in selecting the best product option. Existing feature based review summarization methods create a product summary for a common user profile ignoring the individual preferences. In this paper, we propose a novel feature based approach for personalized review summarization by giving importance to potential individual customer preferences. In order to evaluate our method, a dataset has been collected from a popular Turkish ecommerce web site. The experimental results show that our method is successful in finding and summarizing the most relevant reviews for the active user.
- Subjects
CONSUMERS' reviews; WEB browsing; ELECTRONIC commerce; CONSUMER attitudes; CONSUMER preferences
- Publication
IADIS International Journal on Computer Science & Information Systems, 2013, Vol 8, Issue 2, p147
- ISSN
1646-3692
- Publication type
Article