4.5 Article

Attentive Aspect Modeling for Review-Aware Recommendation

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Proceedings Paper Computer Science, Artificial Intelligence

Social Attentional Memory Network: Modeling Aspect- and Friend-level Differences in Recommendation

Chong Chen et al.

PROCEEDINGS OF THE TWELFTH ACM INTERNATIONAL CONFERENCE ON WEB SEARCH AND DATA MINING (WSDM'19) (2019)

Article Computer Science, Artificial Intelligence

NAIS: Neural Attentive Item Similarity Model for Recommendation

Xiangnan He et al.

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2018)

Proceedings Paper Computer Science, Information Systems

Collaborative Memory Network for Recommendation Systems

Travis Ebesu et al.

ACM/SIGIR PROCEEDINGS 2018 (2018)

Proceedings Paper Computer Science, Interdisciplinary Applications

Neural Attentional Rating Regression with Review-level Explanations

Chong Chen et al.

WEB CONFERENCE 2018: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW2018) (2018)

Proceedings Paper Computer Science, Interdisciplinary Applications

Aspect-Aware Latent Factor Model: Rating Prediction with Ratings and Reviews

Zhiyong Cheng et al.

WEB CONFERENCE 2018: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW2018) (2018)

Proceedings Paper Computer Science, Interdisciplinary Applications

Scalable Supervised Discrete Hashing for Large-Scale Search

Xin Luo et al.

WEB CONFERENCE 2018: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW2018) (2018)

Article Computer Science, Artificial Intelligence

Coherent Semantic-Visual Indexing for Large-Scale Image Retrieval in the Cloud

Richang Hong et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2017)

Proceedings Paper Computer Science, Information Systems

Joint Representation Learning for Top-N Recommendation with Heterogeneous Information Sources

Yongfeng Zhang et al.

CIKM'17: PROCEEDINGS OF THE 2017 ACM CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT (2017)

Proceedings Paper Computer Science, Artificial Intelligence

TransNets: Learning to Transform for Recommendation

Rose Catherine et al.

PROCEEDINGS OF THE ELEVENTH ACM CONFERENCE ON RECOMMENDER SYSTEMS (RECSYS'17) (2017)

Proceedings Paper Computer Science, Information Systems

Neural Collaborative Filtering

Xiangnan He et al.

PROCEEDINGS OF THE 26TH INTERNATIONAL CONFERENCE ON WORLD WIDE WEB (WWW'17) (2017)

Proceedings Paper Computer Science, Information Systems

Neural Factorization Machines for Sparse Predictive Analytics

Xiangnan He et al.

SIGIR'17: PROCEEDINGS OF THE 40TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (2017)

Proceedings Paper Computer Science, Information Systems

Attentive Collaborative Filtering: Multimedia Recommendation with Item- and Component-Level Attention

Jingyuan Chen et al.

SIGIR'17: PROCEEDINGS OF THE 40TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (2017)

Proceedings Paper Computer Science, Artificial Intelligence

Aspect Based Recommendations: Recommending Items with the Most Valuable Aspects Based on User Reviews

Konstantin Bauman et al.

KDD'17: PROCEEDINGS OF THE 23RD ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING (2017)

Review Computer Science, Artificial Intelligence

Integrating Topic and Latent Factors for Scalable Personalized Review-based Rating Prediction

Wei Zhang et al.

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2016)

Review Computer Science, Cybernetics

Recommender systems based on user reviews: the state of the art

Li Chen et al.

USER MODELING AND USER-ADAPTED INTERACTION (2015)

Article Computer Science, Hardware & Architecture

MATRIX FACTORIZATION TECHNIQUES FOR RECOMMENDER SYSTEMS

Yehuda Koren et al.

COMPUTER (2009)