Collaborative filtering beyond the user-item matrix: A survey of the state of the art and future challenges
Over the past two decades, a large amount of research effort has been devoted to
develo** algorithms that generate recommendations. The resulting research progress has …
develo** algorithms that generate recommendations. The resulting research progress has …
A survey on knowledge graph-based recommender systems
Q Guo, F Zhuang, C Qin, H Zhu, X ** entities
The aim of recommender systems is to automatically identify user preferences within
collected data, then use those preferences to make recommendations that help with …
collected data, then use those preferences to make recommendations that help with …
A sentiment‐enhanced hybrid recommender system for movie recommendation: a big data analytics framework
Y Wang, M Wang, W Xu - Wireless Communications and …, 2018 - Wiley Online Library
Movie recommendation in mobile environment is critically important for mobile users. It
carries out comprehensive aggregation of user's preferences, reviews, and emotions to help …
carries out comprehensive aggregation of user's preferences, reviews, and emotions to help …
Data-Centric Systems and Applications
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 …
accessible data source in the world. Web mining aims to discover useful information or …