Recommender systems in e-commerce
Proceedings of the 1st ACM conference on Electronic commerce
Hybrid Recommender Systems: Survey and Experiments
User Modeling and User-Adapted Interaction
E-Commerce Recommendation Applications
Data Mining and Knowledge Discovery
Information Filtering: Overview of Issues, Research and Systems
User Modeling and User-Adapted Interaction
A Taxonomy of Recommender Agents on theInternet
Artificial Intelligence Review
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
A graph model for E-commerce recommender systems
Journal of the American Society for Information Science and Technology
IEEE Transactions on Knowledge and Data Engineering
User Modeling for Recommendation in Blogspace
WI-IATW '07 Proceedings of the 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops
A time-based approach to effective recommender systems using implicit feedback
Expert Systems with Applications: An International Journal
Constraint-based recommender systems: technologies and research issues
Proceedings of the 10th international conference on Electronic commerce
Modeling Preferences in a Distributed Recommender System
UM '07 Proceedings of the 11th international conference on User Modeling
Taxonomy for Personalized Recommendation Service
ISECS '08 Proceedings of the 2008 International Symposium on Electronic Commerce and Security
Individual and group behavior-based customer profile model for personalized product recommendation
Expert Systems with Applications: An International Journal
A low-order markov model integrating long-distance histories for collaborative recommender systems
Proceedings of the 14th international conference on Intelligent user interfaces
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User modeling is a complex task, and many user modeling techniques are proposed in the existing literature, but the way these models are presented is not homogeneous, the domain is fragmented and these models are not directly comparable Thus there is a need for a unified view of the whole user modeling domain and of the applicability of the models to specific applications, contexts or according to specific requirements, type of data, availability of data, etc A common question companies may ask when they want to build and exploit a user model in order to implement different kinds of personalization or adaptive systems is: “Given my specific requirements, which user modeling technique can be used?” No obvious answer can be given to this question This article aims to propose a topic map of user modeling in connection with input data, data types, accessibility, approach, specific requirements and users' data acquisition methods This schema/topic map is aimed to help practitioners and researchers as well to answer the above mentioned question Furthermore the article provides two concrete scenarios in the area of recommender systems and shows how the topic map may be used for these scenarios and real world applications.