Using latent semantic indexing for information filtering
COCS '90 Proceedings of the ACM SIGOIS and IEEE CS TC-OA conference on Office information systems
Information filtering based on user behavior analysis and best match text retrieval
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Fab: content-based, collaborative recommendation
Communications of the ACM
GroupLens: applying collaborative filtering to Usenet news
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Fast discovery of association rules
Advances in knowledge discovery and data mining
Recommendation as classification: using social and content-based information in recommendation
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
An algorithmic framework for performing collaborative filtering
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Combining collaborative filtering with personal agents for better recommendations
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
A Framework for Collaborative, Content-Based and Demographic Filtering
Artificial Intelligence Review - Special issue on data mining on the Internet
Analysis of recommendation algorithms for e-commerce
Proceedings of the 2nd ACM conference on Electronic commerce
Proceedings of the 6th international conference on Intelligent user interfaces
Item-based collaborative filtering recommendation algorithms
Proceedings of the 10th international conference on World Wide Web
The físchlár digital video system: a digital library of broadcast TV programmes
Proceedings of the 1st ACM/IEEE-CS joint conference on Digital libraries
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
Eigentaste: A Constant Time Collaborative Filtering Algorithm
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Recommending from content: preliminary results from an e-commerce experiment
CHI '00 Extended Abstracts on Human Factors in Computing Systems
Learning Collaborative Information Filters
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Collaborative Filtering Using Principal Component Analysis and Fuzzy Clustering
WI '01 Proceedings of the First Asia-Pacific Conference on Web Intelligence: Research and Development
Modelling the Competence of Case-Bases
EWCBR '98 Proceedings of the 4th European Workshop on Advances in Case-Based Reasoning
Improving Case-Based Recommendation: A Collaborative Filtering Approach
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
Using Collaborative Filtering Data in Case-Based Recommendation
Proceedings of the Fifteenth International Florida Artificial Intelligence Research Society Conference
PTV: Intelligent Personalised TV Guides
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Personalcasting: Tailored Broadcast News
User Modeling and User-Adapted Interaction
Group Modeling: Selecting a Sequence of Television Items to Suit a Group of Viewers
User Modeling and User-Adapted Interaction
Categorization of Japanese TV Viewers Based on Program Genres They Watch
User Modeling and User-Adapted Interaction
Evaluation of automatic shot boundary detection on a large video test suite
IM'99 Proceedings of the 1999 international conference on Challenge of Image Retrieval
Overview of the MPEG-7 standard
IEEE Transactions on Circuits and Systems for Video Technology
Group Modeling: Selecting a Sequence of Television Items to Suit a Group of Viewers
User Modeling and User-Adapted Interaction
Categorization of Japanese TV Viewers Based on Program Genres They Watch
User Modeling and User-Adapted Interaction
The prospects for unrestricted speech input for TV content search
Proceedings of the working conference on Advanced visual interfaces
User evaluation of Físchlár-News: An automatic broadcast news delivery system
ACM Transactions on Information Systems (TOIS)
Provision of distance learning services over Interactive Digital TV with MHP
Computers & Education
A collaborative recommender system based on probabilistic inference from fuzzy observations
Fuzzy Sets and Systems
An MHP framework to provide intelligent personalized recommendations about digital TV contents
Software—Practice & Experience
Personalized MTV Affective Analysis Using User Profile
PCM '08 Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Real-time viewer feedback in the iTV production
Proceedings of the seventh european conference on European interactive television conference
Events discovery for personal video recorders
Proceedings of the seventh european conference on European interactive television conference
Web-Based Recommender Systems and User Needs --the Comprehensive View
Proceedings of the 2008 conference on New Trends in Multimedia and Network Information Systems
Inferring user's preferences using ontologies
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
International Journal of Advanced Media and Communication
Semantic reasoning: a path to new possibilities of personalization
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
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Multimedia Tools and Applications
Personalization in multimedia retrieval: A survey
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Overcoming incomplete user models in recommendation systems via an ontology
WebKDD'05 Proceedings of the 7th international conference on Knowledge Discovery on the Web: advances in Web Mining and Web Usage Analysis
A generalized taxonomy of explanations styles for traditional and social recommender systems
Data Mining and Knowledge Discovery
WCP-Nets: a weighted extension to CP-Nets for web service selection
ICSOC'12 Proceedings of the 10th international conference on Service-Oriented Computing
Being confident about the quality of the predictions in recommender systems
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
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As Digital TV subscribers are offered more and more channels, it is becoming increasingly difficult for them to locate the right programme information at the right time. The personalized Electronic Programme Guide (pEPG) is one solution to this problem; it leverages artificial intelligence and user profiling techniques to learn about the viewing preferences of individual users in order to compile personalized viewing guides that fit their individual preferences. Very often the limited availability of profiling information is a key limiting factor in such personalized recommender systems. For example, it is well known that collaborative filtering approaches suffer significantly from the sparsity problem, which exists because the expected item-overlap between profiles is usually very low. In this article we address the sparsity problem in the Digital TV domain. We propose the use of data mining techniques as a way of supplementing meagre ratings-based profile knowledge with additional item-similarity knowledge that can be automatically discovered by mining user profiles. We argue that this new similarity knowledge can significantly enhance the performance of a recommender system in even the sparsest of profile spaces. Moreover, we provide an extensive evaluation of our approach using two large-scale, state-of-the-art online systems--PTVPlus, a personalized TV listings portal and Físchlár, an online digital video library system.