Some simple effective approximations to the 2-Poisson model for probabilistic weighted retrieval
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Passage-level evidence in document retrieval
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Information Processing and Management: an International Journal - Special issue: history of information science
A language modeling approach to information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
A personal news agent that talks, learns and explains
Proceedings of the third annual conference on Autonomous Agents
Content-based book recommending using learning for text categorization
DL '00 Proceedings of the fifth ACM conference on Digital libraries
Language models for financial news recommendation
Proceedings of the ninth international conference on Information and knowledge management
A Taxonomy of Recommender Agents on theInternet
Artificial Intelligence Review
The Combination of Text Classifiers Using Reliability Indicators
Information Retrieval
An intelligent news recommender agent for filtering and categorizing large volumes of text corpus
International Journal of Intelligent Systems
TREC: Experiment and Evaluation in Information Retrieval (Digital Libraries and Electronic Publishing)
Digital Content Recommender on the Internet
IEEE Intelligent Systems
Google news personalization: scalable online collaborative filtering
Proceedings of the 16th international conference on World Wide Web
Ontology-based news recommendation
Proceedings of the 2010 EDBT/ICDT Workshops
User comments for news recommendation in social media
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Recommendation in Internet forums and blogs
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
User comments for news recommendation in forum-based social media
Information Sciences: an International Journal
Recommending friends and locations based on individual location history
ACM Transactions on the Web (TWEB)
A method for weighting multi-valued features in content-based filtering
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part III
Learning to model relatedness for news recommendation
Proceedings of the 20th international conference on World wide web
News personalization using enhanced term: document frequency (ETF-IDF) classification method
Proceedings of the International Conference & Workshop on Emerging Trends in Technology
News personalization using the CF-IDF semantic recommender
Proceedings of the International Conference on Web Intelligence, Mining and Semantics
DC proposal: model for news filtering with named entities
ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part II
Top-N news recommendations in digital newspapers
Knowledge-Based Systems
Identifying archetypal perspectives in news articles
BCS-HCI '12 Proceedings of the 26th Annual BCS Interaction Specialist Group Conference on People and Computers
A location-based news article recommendation with explicit localized semantic analysis
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
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In this paper, we argue that the performance of content-based news recommender systems has been hampered by using relatively old and simple matching algorithms. Using more current probabilistic retrieval algorithms results in significant performance boosts. We test our ideas on a test collection that we have made publicly available. We perform both binary and graded evaluation of our algorithms and argue for the need for more graded evaluation of content-based recommender systems.