Agents that reduce work and information overload
Communications of the ACM
A personal news agent that talks, learns and explains
Proceedings of the third annual conference on Autonomous Agents
User Modeling for Adaptive News Access
User Modeling and User-Adapted Interaction
Personalised Delivery of News Articles from Multiple Sources
ECDL '00 Proceedings of the 4th European Conference on Research and Advanced Technology for Digital Libraries
PENS: A Personalized Electronic News System
CNSR '05 Proceedings of the 3rd Annual Communication Networks and Services Research Conference
An Adaptation of the Vector-Space Model for Ontology-Based Information Retrieval
IEEE Transactions on Knowledge and Data Engineering
Open user profiles for adaptive news systems: help or harm?
Proceedings of the 16th international conference on World Wide Web
Google news personalization: scalable online collaborative filtering
Proceedings of the 16th international conference on World Wide Web
Enriching Group Profiles with Ontologies for Knowledge-Driven Colalborative Content Retrieval
WETICE '06 Proceedings of the 15th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises
EKAW'06 Proceedings of the 15th international conference on Managing Knowledge in a World of Networks
Personalized Content Retrieval in Context Using Ontological Knowledge
IEEE Transactions on Circuits and Systems for Video Technology
News personalization using the CF-IDF semantic recommender
Proceedings of the International Conference on Web Intelligence, Mining and Semantics
Terms of a feather: content-based news recommendation and discovery using twitter
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
Top-N news recommendations in digital newspapers
Knowledge-Based Systems
A recommender system for assistive environments
Proceedings of the 4th International Conference on PErvasive Technologies Related to Assistive Environments
A framework for learning and analyzing hybrid recommenders based on heterogeneous semantic data
Proceedings of the 10th Conference on Open Research Areas in Information Retrieval
Personalized news recommendation using ontologies harvested from the web
WAIM'13 Proceedings of the 14th international conference on Web-Age Information Management
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We present News@hand, a news recommender system which applies semantic-based technologies to describe and relate news contents and user preferences in order to produce enhanced recommendations. The exploitation of conceptual information describing contents and user profiles, along with the capability of inferring knowledge from the semantic relations defined in the ontologies, enabling different content-based collaborative recommendation models, are the key distinctive aspects of the system. The multi-domain portability, the multi-media source applicability, and addressing of some limitations of current recommender systems are the main benefits of our proposed approach.