Review text based rating prediction approaches: preference knowledge learning, representation and utilization
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Review text based rating prediction approaches: preference knowledge learning, representation and utilization
Authors
Keywords
-
Journal
ARTIFICIAL INTELLIGENCE REVIEW
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2020-07-28
DOI
10.1007/s10462-020-09873-y
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A Hybrid E-Learning Recommendation Approach Based on Learners’ Influence Propagation
- (2019) Shanshan Wan et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- A unified neural model for review-based rating prediction by leveraging multi-criteria ratings and review text
- (2018) Yonggang Ding et al. Cluster Computing-The Journal of Networks Software Tools and Applications
- Learning multiple layers of knowledge representation for aspect based sentiment analysis
- (2018) Duc-Hong Pham et al. DATA & KNOWLEDGE ENGINEERING
- The use of machine learning algorithms in recommender systems: A systematic review
- (2018) Ivens Portugal et al. EXPERT SYSTEMS WITH APPLICATIONS
- Recommending valuable ideas in an open innovation community
- (2018) Hanjun Lee et al. INDUSTRIAL MANAGEMENT & DATA SYSTEMS
- Characterizing context-aware recommender systems: A systematic literature review
- (2018) Norha M. Villegas et al. KNOWLEDGE-BASED SYSTEMS
- Dual-regularized matrix factorization with deep neural networks for recommender systems
- (2018) Hao Wu et al. KNOWLEDGE-BASED SYSTEMS
- A review on neural networks with random weights
- (2018) Weipeng Cao et al. NEUROCOMPUTING
- Personal Tastes vs. Fashion Trends: Predicting Ratings Based on Visual Appearances and Reviews
- (2018) Yining Liu et al. IEEE Access
- Tensor factorization method based on review text semantic similarity for rating prediction
- (2018) James Chambua et al. EXPERT SYSTEMS WITH APPLICATIONS
- Review Rating Prediction on Location-Based Social Networks Using Text, Social Links, and Geolocations
- (2018) Yuehua WANG et al. IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
- SEMA: Deeply Learning Semantic Meanings and Temporal Dynamics for Recommendations
- (2018) Jia-Dong Zhang et al. IEEE Access
- Survey on Probabilistic Models of Low-Rank Matrix Factorizations
- (2017) Jiarong Shi et al. Entropy
- A hybrid recommender system using artificial neural networks
- (2017) Tulasi K. Paradarami et al. EXPERT SYSTEMS WITH APPLICATIONS
- Rating prediction using review texts with underlying sentiments
- (2017) Dongjin Yu et al. INFORMATION PROCESSING LETTERS
- Rating prediction by exploring user’s preference and sentiment
- (2017) Xiang Ma et al. MULTIMEDIA TOOLS AND APPLICATIONS
- Tensor methods and recommender systems
- (2017) Evgeny Frolov et al. Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery
- Point-of-Interest Recommendations via a Supervised Random Walk Algorithm
- (2016) Guandong Xu et al. IEEE INTELLIGENT SYSTEMS
- Integrating Topic and Latent Factors for Scalable Personalized Review-based Rating Prediction
- (2016) Wei Zhang et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Rating Prediction Based on Social Sentiment From Textual Reviews
- (2016) Xiaojiang Lei et al. IEEE TRANSACTIONS ON MULTIMEDIA
- Topic tensor factorization for recommender system
- (2016) Xiaolin Zheng et al. INFORMATION SCIENCES
- Exploiting interactions of review text, hidden user communities and item groups, and time for collaborative filtering
- (2016) Yinqing Xu et al. KNOWLEDGE AND INFORMATION SYSTEMS
- Aspect-based latent factor model by integrating ratings and reviews for recommender system
- (2016) Lin Qiu et al. KNOWLEDGE-BASED SYSTEMS
- Collaborative filtering with weighted opinion aspects
- (2016) Chong Yang et al. NEUROCOMPUTING
- Joint Prediction of Rating and Popularity for Cold-Start Item by Sentinel User Selection
- (2016) Zhongchen Miao et al. IEEE Access
- Collaborative recommendation with user generated content
- (2015) Yueshen Xu et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Recommender systems based on user reviews: the state of the art
- (2015) Li Chen et al. USER MODELING AND USER-ADAPTED INTERACTION
- A Bayesian recommender model for user rating and review profiling
- (2015) Mingming Jiang et al. TSINGHUA SCIENCE AND TECHNOLOGY
- A semantic similarity method based on information content exploiting multiple ontologies
- (2012) David Sánchez et al. EXPERT SYSTEMS WITH APPLICATIONS
- Improving the quality of predictions using textual information in online user reviews
- (2012) Gayatree Ganu et al. INFORMATION SYSTEMS
- Inducible regularization for low-rank matrix factorizations for collaborative filtering
- (2012) Zhenyue Zhang et al. NEUROCOMPUTING
- Incremental Collaborative Filtering recommender based on Regularized Matrix Factorization
- (2011) Xin Luo et al. KNOWLEDGE-BASED SYSTEMS
- Learning, Memory, and the Role of Neural Network Architecture
- (2011) Ann M. Hermundstad et al. PLoS Computational Biology
- Matrix Factorization Techniques for Recommender Systems
- (2009) Yehuda Koren et al. COMPUTER
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started