Leveraging semantic features for recommendation: Sentence-level emotion analysis

Effective contact recommendation in social networks by adaptation of information retrieval models

(2020) Javier Sanz-Cruzado et al.   INFORMATION PROCESSING & MANAGEMENT

iMCRec: A Multi-Criteria Framework for Personalized Point-of-Interest Recommendations

(2019) Yan Lyu et al.   INFORMATION SCIENCES

Item diversified recommendation based on influence diffusion

(2019) Huimin Huang et al.   INFORMATION PROCESSING & MANAGEMENT

The interaction effects of online reviews and free samples on consumers’ downloads: An empirical analysis

(2019) Li Shengli et al.   INFORMATION PROCESSING & MANAGEMENT

Social network data to alleviate cold-start in recommender system: A systematic review

(2018) Lesly Alejandra Gonzalez Camacho et al.   INFORMATION PROCESSING & MANAGEMENT

Coupled matrix factorization and topic modeling for aspect mining

(2018) Ding Xiao et al.   INFORMATION PROCESSING & MANAGEMENT

A novel recommendation method based on social network using matrix factorization technique

(2018) Chonghuan Xu   INFORMATION PROCESSING & MANAGEMENT

Improving user recommendation by extracting social topics and interest topics of users in uni-directional social networks

(2018) Ke Xu et al.   KNOWLEDGE-BASED SYSTEMS

Online recommendations based on dynamic adjustment of recommendation lists

(2018) Duen-Ren Liu et al.   KNOWLEDGE-BASED SYSTEMS

User preferences modeling using dirichlet process mixture model for a content-based recommender system

(2018) Bagher Rahimpour Cami et al.   KNOWLEDGE-BASED SYSTEMS

Hidden topic–emotion transition model for multi-level social emotion detection

(2018) Donglei Tang et al.   KNOWLEDGE-BASED SYSTEMS

Collaborative filtering and deep learning based recommendation system for cold start items

(2017) Jian Wei et al.   EXPERT SYSTEMS WITH APPLICATIONS

Collaborative filtering using multiple binary maximum margin matrix factorizations

(2017) Vikas Kumar et al.   INFORMATION SCIENCES

Semantic Feature Learning for Heterogeneous Multitask Classification via Non-Negative Matrix Factorization

(2017) Fuzhen Zhuang et al.   IEEE Transactions on Cybernetics

A hybrid approach for movie recommendation via tags and ratings

(2016) Shouxian Wei et al.   Electronic Commerce Research and Applications

Applying artificial immune systems to collaborative filtering for movie recommendation

(2015) Meng-Hui Chen et al.   ADVANCED ENGINEERING INFORMATICS

Sentiment analysis of movie reviews: finding most important movie aspects using driving factors

(2015) Viraj Parkhe et al.   SOFT COMPUTING

Generating virtual ratings from chinese reviews to augment online recommendations

(2013) Weishi Zhang et al.   ACM Transactions on Intelligent Systems and Technology

Matrix Factorization Techniques for Recommender Systems

(2009) Yehuda Koren et al.   COMPUTER