Case-based reasoning
PHOAKS: a system for sharing recommendations
Communications of the ACM
Fab: content-based, collaborative recommendation
Communications of the ACM
GroupLens: applying collaborative filtering to Usenet news
Communications of the ACM
AGENTS '98 Proceedings of the second international conference on Autonomous agents
CSCW '98 Proceedings of the 1998 ACM conference on Computer supported cooperative work
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IUI '99 Proceedings of the 4th international conference on Intelligent user interfaces
ConCall: edited and adaptive information filtering
IUI '99 Proceedings of the 4th international conference on Intelligent user interfaces
The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
An algorithmic framework for performing collaborative filtering
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Representation of electronic mail filtering profiles: a user study
Proceedings of the 5th international conference on Intelligent user interfaces
Explaining collaborative filtering recommendations
CSCW '00 Proceedings of the 2000 ACM conference on Computer supported cooperative work
E-Commerce Recommendation Applications
Data Mining and Knowledge Discovery
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Data Mining and Knowledge Discovery
IEEE Internet Computing
The FindMe Approach to Assisted Browsing
IEEE Expert: Intelligent Systems and Their Applications
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IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
UAI '01 Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence
Augmenting Recommender Systems by Embedding Interfaces into Practices
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 3 - Volume 3
ConCall: An information service for researchers based on EdInfo
ConCall: An information service for researchers based on EdInfo
Empirical analysis of predictive algorithms for collaborative filtering
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
User Modelling for News Web Sites with Word Sense Based Techniques
User Modeling and User-Adapted Interaction
Anatomy and Empirical Evaluation of an Adaptive Web-Based Information Filtering System
User Modeling and User-Adapted Interaction
Preface to Special Issue on User Modeling for Web Information Retrieval
User Modeling and User-Adapted Interaction
Adaptive decision support system (ADSS) for B2C e-commerce
ICEC '06 Proceedings of the 8th international conference on Electronic commerce: The new e-commerce: innovations for conquering current barriers, obstacles and limitations to conducting successful business on the internet
Interaction with user-adaptive information filters.: trust, transparency and acceptance.
CHI '07 Extended Abstracts on Human Factors in Computing Systems
Open user profiles for adaptive news systems: help or harm?
Proceedings of the 16th international conference on World Wide Web
An evaluation of adaptive filtering in the context of realistic task-based information exploration
Information Processing and Management: an International Journal
Personalized web exploration with task models
Proceedings of the 17th international conference on World Wide Web
Facilitating Collaboration in Virtual Environments
AH '08 Proceedings of the 5th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems
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User profiles for personalized information access
The adaptive web
Personalized search on the world wide web
The adaptive web
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UI-HCII'07 Proceedings of the 2nd international conference on Usability and internationalization
User profiling for semantic browsing in medical digital libraries
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
Modeling user's opinion relevance to recommending research papers
UM'05 Proceedings of the 10th international conference on User Modeling
The relation between user intervention and user satisfaction for information recommendation
Proceedings of the 27th Annual ACM Symposium on Applied Computing
Journal of Systems and Software
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The aim in information filtering is to provide users with a personalised selection of information, based on their interest profile. In adaptive information filtering, this profile partially or completely acquired by automatic means. This paper investigates if profile generation can be partially acquired by automatic methods and partially by direct user involvement. The issue is explored through an empirical study of a simulated filtering system that mixes automatic and manual profile generation. The study covers several issues involved in mixed control. The first issue concerns if a machine-learned profile can provide better filtering performance if generated from an initial explicit user profile. The second issue concerns if user involvement can improve on a system-generated or adapted profile. Finally, the relationship between filtering performance and user ratings is investigated. In this particular study the initial setup of a personal profile was effective and yielded performance improvements that persisted after substantiate training. However, the study showed no correlation between users' ratings of profiles and profile filtering performance, and only weak indications that users could improve profiles that already had been trained on feedback.