The use of MMR, diversity-based reranking for reordering documents and producing summaries
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Novelty and redundancy detection in adaptive filtering
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Cumulated gain-based evaluation of IR techniques
ACM Transactions on Information Systems (TOIS)
Retrieval and novelty detection at the sentence level
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Newsjunkie: providing personalized newsfeeds via analysis of information novelty
Proceedings of the 13th international conference on World Wide Web
Text classification and named entities for new event detection
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
A new rank correlation coefficient for information retrieval
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
ICWE '9 Proceedings of the 9th International Conference on Web Engineering
Ontology-based news recommendation
Proceedings of the 2010 EDBT/ICDT Workshops
A semantic web-based approach for personalizing news
Proceedings of the 2010 ACM Symposium on Applied Computing
The effect of smoothing in language models for novelty detection
FDIA'07 Proceedings of the 1st BCS IRSG conference on Future Directions in Information Access
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In this paper we evaluate several novelty control mechanisms for ranking Web news articles depicting a story. These mechanisms rank individual news items based on a novelty measure using as context the items which have been previously reviewed. An evaluation within the Hermes news personalization framework is performed for pair wise and non-pair wise novelty control mechanisms based on various distance measures and vector-based news representations. On average, the most effective distance measure is Kullback-Leibler and the best performing news representation vector uses named entities.