Review Evaluation for Hotel Recommendation

With the prevalence of backpacking and the convenience of using the Internet, many travelers like sharing their experiences in online communities. The development of online communities has changed the decision-making process of consumer purchasing, especially for travel, i.e., some travelers reconsider their decisions because they believe that the reviews of online communities are more valuable than advertisements. However, these reviews are not completely reliable since most reviews are provided without specific author information and the review data are too large to be observed. In this paper, we propose a novel approach (named ET) to evaluate the trustworthiness of reviews in online travel communities. Our method considers three concepts, including the sentiment similarity of reviewers in the social network, features of the reviews, and behaviors of the reviewers. The experimental results demonstrate that our method is effective in evaluating the trustworthiness of reviews.

Automated summary

This paper proposes a novel approach to evaluate the trustworthiness of reviews in online travel communities. The approach considers the sentiment similarity of reviewers, features of the reviews, and behaviors of the reviewers.