报告题目：Trends in Recommender Systems: Group Recommendation, Context Awareness, Natural Noise

报告人：Luis Martínez  教授,Full Professor of Computer Science Department at the University of Jaén

地点：9号楼918会议室

时间：2018年4月24日 10:00-11:30

摘要：Due to the fact that in the contemporary E-commerce customers demand quick and easy access to products, and there is an overwhelming amount of information that leads customers into the difficult task of filtering information that meets their actual needs. To address this problem, recommender systems were proposed to filter information, thus delivering to users only the information that meets their preferences or needs. Recommender systems are probably the most successful tool to support personalised recommendations.

    Most recommender systems research has been focused on the accuracy improvement of recommendation algorithms. Despite this, recently new trends in recommender systems have become important research topics such as, cold start, group recommendations, context-aware recommendations, cross domain recommendation, natural noise, etc. This talk will review the basics of the most wide-spread type of Recommender Systems such as Collaborative Filtering models. Afterwards, it will be focused on important results obtained in several of the previous trends such as group recommendations, context-awareness and natural noise. Eventually it will be pointed out different open research lines in the topic.