With the expansion of information on the web, recommendation systems have become one
of the most powerful resources to ease the task of users. Traditional recommendation …

Context-aware recommender systems (CARS) are specially designed to take into account
the contextual conditions under which a user experiences an item, with the goal of …

With the current growth of the proposed contextual recommending algorithms, evaluating
them becomes more critical. Researchers of recommender systems have expressed …

Recommender system is a well-known information system which can capture user tastes
and produce item recommendations to the end users. Context-aware recommender systems …

In recommender systems, the classical matrix factorization model for collaborative filtering
only considers joint interactions between users and items. In contrast, context-aware …

In this research, we explore the problem of caching in 5G networks. According to different
studies, the requests for video contents in cellular networks account for 50% of the requests …

基于情境感知的个性化推荐是近年来推荐系统中的研究热点和难点问题, 数据稀疏是当前推荐
系统面临的主要问题. 以音乐推荐为背景, 改进了多种情境信息的表示方法, 将优化排名倒数(RR) …

In the present evolving phase of information technology, Recommender systems (RSs) have
been established as widely accepted platform for handling & managing the information …

Improvement of Recommendation Accuracy by Integrating User Demographic Information Page
1 Improvement of Recommendation Accuracy by Integrating User Demographic Information …

Kolaborativní filtrování je jednou z nejúspěšnějších technik používaných v doporučovacích
systémech. Základní algoritmy využívají historické interakce mezi uživateli a předměty …