公路货运物流的个性化推荐研究

Personalized Recommendation Research on Road Freight Logistics

摘要: 近年来为改善公路物流行业环境，涌现了一批物流公共信息平台，这些物流公共信息平台虽然在一定程度上改善了货源信息匹配度不高的问题，但仍需要货物运输需求方通过关键词检索主动进行操作，信息匹配效率低下。针对上述情况，本文提出了一种基于内容的货运信息个性化推荐方法。先运用余弦相似度计算车货信息的匹配程度，再运用AHP方法对匹配程度高的车源物流公司进行评判，最终为相关货源推荐出最佳车源信息，为车主和货主寻找交易方提供了便利。

Abstract: In recent years, in order to improve the environment of the road logistics industry, a number of logistics public information platforms have emerged, although these logistics public information platforms have improved the problem of low matching of source information to a certain extent, they still require the cargo transportation demander to actively operate through keyword retrieval, and the information matching efficiency is inefficient. In view of the above situation, this paper proposes a content-based personalized recommendation method for freight information. Firstly, the cosine similarity is used to calculate the matching degree of vehicle and cargo information, and then the AHP method is used to evaluate the vehicle source logistics company with high matching degree, and finally the best vehicle source information is recommended for the relevant cargo source, which provides great convenience for car owners and cargo owners in finding trade partners.