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Proposal of the review recommendation system using the concurrent network

机译：使用并发网络的审查建议系统的提案

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Recently, reviews of goods are one of the important factors which have an influence on the consumer's buying behavior. Under the situation, information aggregation of reviews has attracted much attention in electronic commerce (EC) site. In this study we propose a review recommendation system target on golf EC site. In our proposal system, reviews are scored by the evaluation of characteristic words which were obtained by TF-IDF and reputation analysis. Moreover, our proposal system visualize concurrent network using concurrent relations between the characteristic words. In order to verify the effectiveness of our proposal system, we conducted an experimental evaluation. In the experimental evaluation, we compared our proposal reviews with other review (selected randomly, recently date and reference counts). As the result, it was found that the result score of our proposed reviews were almost the same as the result score of reference count. Moreover, we received positive evaluation about concurrent network. Through these experimental evaluate, we consider that the effectiveness of this system was successfully verified.
机译：最近，商品的评论是对消费者购买行为有影响的重要因素之一。根据情况，信息汇总的评论会引起了电子商务（EC）网站的许多关注。在这项研究中，我们提出了一项审查推荐系统目标在高尔夫EC网站上。在我们的提案系统中，评估由TF-IDF和声誉分析获得的特征词评估。此外，我们的提案系统使用特征词之间的并发关系可视化并发网络。为了验证我们提案系统的有效性，我们进行了实验评估。在实验评估中，我们将我们的提案评估与其他审查进行了比较（随机选择，最近日期和参考数）。结果，发现我们提出的评论的结果分数与参考数量的结果分数几乎相同。此外，我们接受了关于并发网络的积极评估。通过这些实验评估，我们认为该系统的有效性已成功验证。

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