User models: theory, method, and practice
International Journal of Man-Machine Studies
Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Communications of the ACM
An algorithmic framework for performing collaborative filtering
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
On power-law relationships of the Internet topology
Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication
Analysis of recommendation algorithms for e-commerce
Proceedings of the 2nd ACM conference on Electronic commerce
Explaining collaborative filtering recommendations
CSCW '00 Proceedings of the 2000 ACM conference on Computer supported cooperative work
Item-based collaborative filtering recommendation algorithms
Proceedings of the 10th international conference on World Wide Web
Methods and metrics for cold-start recommendations
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
A logic for uncertain probabilities
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Eigentaste: A Constant Time Collaborative Filtering Algorithm
Information Retrieval
Amazon.com Recommendations: Item-to-Item Collaborative Filtering
IEEE Internet Computing
Learning Collaborative Information Filters
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Content-boosted collaborative filtering for improved recommendations
Eighteenth national conference on Artificial intelligence
Collaborative filtering via gaussian probabilistic latent semantic analysis
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
ACM Transactions on Information Systems (TOIS)
Spreading Activation Models for Trust Propagation
EEE '04 Proceedings of the 2004 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'04)
Propagation of trust and distrust
Proceedings of the 13th international conference on World Wide Web
Qualitative analysis of user-based and item-based prediction algorithms for recommendation agents
Engineering Applications of Artificial Intelligence
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
Empirical analysis of predictive algorithms for collaborative filtering
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Incremental collaborative filtering for highly-scalable recommendation algorithms
ISMIS'05 Proceedings of the 15th international conference on Foundations of Intelligent Systems
Improving collaborative filtering with trust-based metrics
Proceedings of the 2006 ACM symposium on Applied computing
Trust-based agent community for collaborative recommendation
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
A Comparison of Collaborative-Filtering Recommendation Algorithms for E-commerce
IEEE Intelligent Systems
Applications of wavelet data reduction in a recommender system
Expert Systems with Applications: An International Journal
Decision support for team staffing: An automated relational recommendation approach
Decision Support Systems
Implications of psychological phenomenons for recommender systems
Proceedings of the 2008 ACM conference on Recommender systems
Key figure impact in trust-enhanced recommender systems
AI Communications - Recommender Systems
Expert Systems with Applications: An International Journal
Using trust for collaborative filtering in eCommerce
Proceedings of the 11th International Conference on Electronic Commerce
Two-step recommendation based personalization for future services
ICACT'09 Proceedings of the 11th international conference on Advanced Communication Technology - Volume 3
Collaborative filtering based on transitive correlations between items
ECIR'07 Proceedings of the 29th European conference on IR research
Using trust in collaborative filtering recommendation
IEA/AIE'07 Proceedings of the 20th international conference on Industrial, engineering, and other applications of applied intelligent systems
On a probabilistic combination of prediction sources
ISMIS'08 Proceedings of the 17th international conference on Foundations of intelligent systems
Collaborative filtering based on an iterative prediction method to alleviate the sparsity problem
Proceedings of the 11th International Conference on Information Integration and Web-based Applications & Services
Evaluating a recommendation application for online video content: an interdisciplinary study
Proceedings of the 8th international interactive conference on Interactive TV&Video
A hybrid collaborative filtering recommendation mechanism for P2P networks
Future Generation Computer Systems
The effect of sparsity on collaborative filtering metrics
ADC '09 Proceedings of the Twentieth Australasian Conference on Australasian Database - Volume 92
Automatic news recommendations via profiling
Proceedings of the 3rd international workshop on Automated information extraction in media production
e-learning experience using recommender systems
Proceedings of the 42nd ACM technical symposium on Computer science education
Users' (Dis)satisfaction with the personalTV application: Combining objective and subjective data
Computers in Entertainment (CIE) - Theoretical and Practical Computer Applications in Entertainment
Semantically enhanced collaborative filtering based on RSVD
ICCCI'11 Proceedings of the Third international conference on Computational collective intelligence: technologies and applications - Volume Part II
Hybrid recommendation based on low-dimensional augmentation of combined feature profiles
ICCCI'11 Proceedings of the Third international conference on Computational collective intelligence: technologies and applications - Volume Part II
Collaborative filtering based on significances
Information Sciences: an International Journal
Recommendation agent impact on consumer online shopping: The Movie Magic case study
Expert Systems with Applications: An International Journal
Enhanced prediction algorithm for item-based collaborative filtering recommendation
EC-Web'06 Proceedings of the 7th international conference on E-Commerce and Web Technologies
Unifying and targeting cultural activities via events modelling and profiling
Multimedia Tools and Applications
Adaptive neuro-fuzzy pedagogical recommender
Expert Systems with Applications: An International Journal
A recommendation system based on a subset of raters
Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication
Improve top-k recommendation by extending review analysis
APWeb'12 Proceedings of the 14th Asia-Pacific international conference on Web Technologies and Applications
Smoothing approach to alleviate the meager rating problem in collaborative recommender systems
Future Generation Computer Systems
A trust-semantic fusion-based recommendation approach for e-business applications
Decision Support Systems
SPCF: a stepwise partitioning for collaborative filtering to alleviate sparsity problems
Journal of Information Science
Generating virtual ratings from chinese reviews to augment online recommendations
ACM Transactions on Intelligent Systems and Technology (TIST) - Special section on twitter and microblogging services, social recommender systems, and CAMRa2010: Movie recommendation in context
Enabling topic-level trust for collaborative information sharing
Personal and Ubiquitous Computing
Using profile expansion techniques to alleviate the new user problem
Information Processing and Management: an International Journal
Automatic news recommendations via aggregated profiling
Multimedia Tools and Applications
Inferring User Interest Using Familiarity and Topic Similarity with Social Neighbors in Facebook
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
Improving collaborative filtering-based recommender systems results using Pareto dominance
Information Sciences: an International Journal
βP: A novel approach to filter out malicious rating profiles from recommender systems
Decision Support Systems
Silence is also evidence: interpreting dwell time for recommendation from psychological perspective
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Exploiting two-faceted web of trust for enhanced-quality recommendations
Expert Systems with Applications: An International Journal
Cloud based real-time collaborative filtering for item-item recommendations
Computers in Industry
Personalized recommendation based on review topics
Service Oriented Computing and Applications
Hi-index | 0.01 |
Collaborative Filtering (CF), the prevalent recommendation approach, has been successfully used to identify users that can be characterized as “similar” according to their logged history of prior transactions. However, the applicability of CF is limited due to the sparsity problem, which refers to a situation that transactional data are lacking or are insufficient. In an attempt to provide high-quality recommendations even when data are sparse, we propose a method for alleviating sparsity using trust inferences. Trust inferences are transitive associations between users in the context of an underlying social network and are valuable sources of additional information that help dealing with the sparsity and the cold-start problems. A trust computational model has been developed that permits to define the subjective notion of trust by applying confidence and uncertainty properties to network associations. We compare our method with the classic CF that does not consider any transitive associations. Our experimental results indicate that our method of trust inferences significantly improves the quality performance of the classic CF method.