Identifying peer-review helpfulness is an important task for improving the quality of feedback received by students, as well as for helping students write better reviews. As we tailor standard product review analysis techniques to our peer-review domain, we notice that peerreview helpfulness differs not only between students and experts but also between types of experts. In this paper, we inves...

Predicting the helpfulness of product reviews is a key component of many ecommerce tasks such as review ranking and recommendation. However, previous work mixed review helpfulness prediction with those outer layer tasks. Using nontext features, it leads to less transferable models. This paper solves the problem from a new angle by hypothesizing that helpfulness is an internal property of text. ...

The “helpfulness” feature of online user reviews helps consumers cope with information overloads and facilitates decision making. However, many online user reviews lack sufficient helpfulness votes for other users to evaluate their true helpfulness level. This study empirically examines the impact of the various features, that is, basic, stylistic, and semantic, of online user reviews on the nu...

Online review has been found to be import to online businesses. The sheer number of online reviews hinders websites users’ ability to draw useful information from previous users. Thus, a helpfulness mechanism which facilitates users to locate the most helpful reviews adds value to websites. This paper explores the helpfulness of online review from a cognitive science perspective. Drawing upon c...

Effective use of online product reviews is hampered by their large variance in helpfulness. Therefore, there is a great need to better understand the determinants of review helpfulness. As one of the most studied factors, review length has been commonly assumed to have a linear relationship with review helpfulness. However, a recent study reveals a different finding, but it does not provide det...

Identifying peer-review helpfulness is an important task for improving the quality of feedback that students receive from their peers. As a first step towards enhancing existing peerreview systems with new functionality based on helpfulness detection, we examine whether standard product review analysis techniques also apply to our new context of peer reviews. In addition, we investigate the uti...

Based on the review data of the Amazon,our research discuss that the effect of language style matching of a review and the whole reviews on perceived customer review helpfulness and the moderating effect of product type and product brand to the relationship between language style matching of a review and the whole reviews and perceived customer review helpfulness. Our study found:For experience...

Online product reviews are important determinants of consumers' purchase decision. Although prior research has articulated various benefits of online product reviews, there are few investigations into whether or not they are perceived as helpful by consumers. Product review helpfulness is conceptualized as a second-order formative construct, which is manifested by perceived source credibility, ...

Customer reviews are increasingly available online for a wide range of products and services. They supplement other information provided by electronic storefronts such as product descriptions, reviews from experts, and personalized advice generated by automated recommendation systems. While researchers have demonstrated the benefits of the presence of customer reviews to an online retailer, a l...

Review mining and summarization has been a hot topic for the past decade. A lot of effort has been devoted to aspect detection and sentiment analysis under the assumption that every review has the same utility for related tasks. However, reviews are not equally helpful as indicated by user-provided helpfulness assessment associated with the reviews. In this thesis, we propose a novel review sum...