摘要： 传统兴趣点推荐方法缺乏对用户所处位置和实时路况信息的考虑,推荐结果虽能满足用户偏好,但会导致出行时间增加。为此,提出一种考虑实时路况信息的推荐方法,利用基于内容的方法获取兴趣点支持度,使用实时路网状况获取实时路网支持度,融合基于内容的支持度和实时路网支持度,形成最终优化的推荐结果。实验结果表明,与基于内容的推荐方法相比,融合实时交通路况的推荐方法能节省更多的出行时间,具有较强的实用性。

关键词: 兴趣点推荐, 基于内容的推荐, 实时路网, 用户偏好模型, 支持度

Abstract: Traditional Point of Interest(POI) recommendation method does not consider the user’s location and real-time traffic information.Though it can satisfy the user’s preference,it leads to a big increase in travel time.A recommended method of considering the real-time traffic information is proposed.It uses content-based recommendation method to get POI support,and uses the real-time traffic conditions to obtain real-time network support,fusion based on the POI support and real-time network support,and gets the final recommendation results.Experimental results show that,compared with the content-based recommendation method,the recommendation method can save more travel time and has strong practicability.

Key words: Point of Interest(POI) recommendation, content-based recommendation, real-time traffic network, user preference model, support

中图分类号: 

• TP18