Statistical methods for speech recognition
Statistical methods for speech recognition
A Framework for Collaborative, Content-Based and Demographic Filtering
Artificial Intelligence Review - Special issue on data mining on the Internet
Item-based collaborative filtering recommendation algorithms
Proceedings of the 10th international conference on World Wide Web
UAI '01 Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence
The Journal of Machine Learning Research
Probabilistic author-topic models for information discovery
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Maximum entropy for collaborative filtering
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
Collaborative Filtering with Maximum Entropy
IEEE Intelligent Systems
Sequential conditional Generalized Iterative Scaling
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
A comparison of algorithms for maximum entropy parameter estimation
COLING-02 proceedings of the 6th conference on Natural language learning - Volume 20
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
Task-Oriented web user modeling for recommendation
UM'05 Proceedings of the 10th international conference on User Modeling
Recommendation method for extending subscription periods
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Feature-Weighted User Model for Recommender Systems
UM '07 Proceedings of the 11th international conference on User Modeling
Information Sciences: an International Journal
fLDA: matrix factorization through latent dirichlet allocation
Proceedings of the third ACM international conference on Web search and data mining
User preferences discovery using fuzzy models
Fuzzy Sets and Systems
Co-clustering analysis of weblogs using bipartite spectral projection approach
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part III
Soft-constraint based online LDA for community recommendation
PCM'10 Proceedings of the Advances in multimedia information processing, and 11th Pacific Rim conference on Multimedia: Part II
Collection-based sparse label propagation and its application on social group suggestion from photos
ACM Transactions on Intelligent Systems and Technology (TIST)
Co-clustering for weblogs in semantic space
WISE'10 Proceedings of the 11th international conference on Web information systems engineering
An analysis of probabilistic methods for top-N recommendation in collaborative filtering
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part I
Hybrid personalized recommender system using centering-bunching based clustering algorithm
Expert Systems with Applications: An International Journal
Modeling item selection and relevance for accurate recommendations: a bayesian approach
Proceedings of the fifth ACM conference on Recommender systems
An efficient web recommendation system based on modified IncSpan algorithm
International Journal of Knowledge and Web Intelligence
Using and learning semantics in frequent subgraph mining
WebKDD'05 Proceedings of the 7th international conference on Knowledge Discovery on the Web: advances in Web Mining and Web Usage Analysis
Introducing semantics in web personalization: the role of ontologies
EWMF'05/KDO'05 Proceedings of the 2005 joint international conference on Semantics, Web and Mining
A generalized taxonomy of explanations styles for traditional and social recommender systems
Data Mining and Knowledge Discovery
Enlister: baidu's recommender system for the biggest chinese Q&A website
Proceedings of the sixth ACM conference on Recommender systems
Trees for explaining recommendations made through collaborative filtering
Information Sciences: an International Journal
LCARS: a location-content-aware recommender system
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Scientific articles recommendation
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Personalized recommendation based on review topics
Service Oriented Computing and Applications
| Hi-index | 0.00 |
Web users display their preferences implicitly by navigating through a sequence of pages or by providing numeric ratings to some items. Web usage mining techniques are used to extract useful knowledge about user interests from such data. The discovered user models are then used for a variety of applications such as personalized recommendations. Web site content or semantic features of objects provide another source of knowledge for deciphering users' needs or interests. We propose a novel Web recommendation system in which collaborative features such as navigation or rating data as well as the content features accessed by the users are seamlessly integrated under the maximum entropy principle. Both the discovered user patterns and the semantic relationships among Web objects are represented as sets of constraints that are integrated to fit the model. In the case of content features, we use a new approach based on Latent Dirichlet Allocation (LDA) to discover the hidden semantic relationships among items and derive constraints used in the model. Experiments on real Web site usage data sets show that this approach can achieve better recommendation accuracy, when compared to systems using only usage information. The integration of semantic information also allows for better interpretation of the generated recommendations.