A recommender system (RS) aims to provide personalized recommendations to users for
specific items (eg, music, books). Popular techniques involve content-based (CB) models …

In this age of information overload, people use a variety of strategies to make choices about
what to buy, how to spend their leisure time, and even whom to date. Recommender …

The rapid growth of the Web in the past two decades has made it the largest publicly
accessible data source in the world. Web mining aims to discover useful information or …

Recommender systems for automatically suggested items of interest to users have become
increasingly essential in fields where mass personalization is highly valued. The popular …

Recommender systems help users to find information that best fits their preferences and
needs in an overloaded search space. Most recommender systems researches have been …

推荐系统中的冷启动问题研究综述 主管:江西省科学技术厅 主办:江西省计算机学会 江西省计算
中心 编辑出版:《计算机与现代化》编辑部 首页 期刊介绍 编委会 在线期刊 最新录用 当期目录 过刊 …

Providing justification to a recommendation gives credibility to a recommender system.
Some recommender systems (Amazon. com etc.) try to explain their recommendations, in an …

Recommender systems are gaining widespread acceptance in e-commerce applications to
confront the ldquoinformation overloadrdquo problem. Providing justification to a …

This paper is about the utility of making personalized recommendations. While it is important
to accurately predict the target user's preference, in practice the accuracy should not be the …

A user-based tourist attraction recommender system is developed in this paper. The
recommender system is constructed as an online application which is capable of generating …