A comprehensive survey of neighborhood-based recommendation methods
Among collaborative recommendation approaches, methods based on nearest-neighbors
still enjoy a huge amount of popularity, due to their simplicity, their efficiency, and their ability …
still enjoy a huge amount of popularity, due to their simplicity, their efficiency, and their ability …
A comprehensive survey of neighborhood-based recommendation methods
C Desrosiers, G Karypis - Recommender systems handbook, 2010 - Springer
Among collaborative recommendation approaches, methods based on nearest-neighbors
still enjoy a huge amount of popularity, due to their simplicity, their efficiency, and their ability …
still enjoy a huge amount of popularity, due to their simplicity, their efficiency, and their ability …
[图书][B] Recommender systems
CC Aggarwal - 2016 - Springer
“Nature shows us only the tail of the lion. But I do not doubt that the lion belongs to it even
though he cannot at once reveal himself because of his enormous size.”–Albert Einstein The …
though he cannot at once reveal himself because of his enormous size.”–Albert Einstein The …
[PDF][PDF] 不确定近邻的协同过滤推荐算法
黄创光， 印鉴， 汪静， 刘玉葆， 王甲海 - 计算机学报, 2010 - cjc.ict.ac.cn
摘要文中围绕传统的协同过滤推荐算法存在的局限性展开研究, 提出一种不确定近邻的协同过滤
推荐算法UNCF. 根据推荐系统应用的实际情况, 对于推荐的每一种场景其实都是不可预先确定 …
推荐算法UNCF. 根据推荐系统应用的实际情况, 对于推荐的每一种场景其实都是不可预先确定 …
[HTML][HTML] A new user similarity model to improve the accuracy of collaborative filtering
Collaborative filtering has become one of the most used approaches to provide
personalized services for users. The key of this approach is to find similar users or items …
personalized services for users. The key of this approach is to find similar users or items …
Recommender systems with social regularization
Although Recommender Systems have been comprehensively analyzed in the past decade,
the study of social-based recommender systems just started. In this paper, aiming at …
the study of social-based recommender systems just started. In this paper, aiming at …
Location-aware deep collaborative filtering for service recommendation
Y Zhang, C Yin, Q Wu, Q He… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
With the widespread application of service-oriented architecture (SOA), a flood of similarly
functioning services have been deployed online. How to recommend services to users to …
functioning services have been deployed online. How to recommend services to users to …
QoS-aware web service recommendation by collaborative filtering
With increasing presence and adoption of Web services on the World Wide Web, Quality-of-
Service (QoS) is becoming important for describing nonfunctional characteristics of Web …
Service (QoS) is becoming important for describing nonfunctional characteristics of Web …
Sorec: social recommendation using probabilistic matrix factorization
Data sparsity, scalability and prediction quality have been recognized as the three most
crucial challenges that every collaborative filtering algorithm or recommender system …
crucial challenges that every collaborative filtering algorithm or recommender system …
Modeling scale-free graphs with hyperbolic geometry for knowledge-aware recommendation
Aiming to alleviate data sparsity and cold-start problems of tradi-tional recommender
systems, incorporating knowledge graphs (KGs) to supplement auxiliary information has …
systems, incorporating knowledge graphs (KGs) to supplement auxiliary information has …