Centroid-based summarization of multiple documents
Information Processing and Management: an International Journal
Automatic evaluation of summaries using N-gram co-occurrence statistics
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
User-model based personalized summarization
Information Processing and Management: an International Journal
Learning query-biased web page summarization
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Personalized Summarization Agent Using Non-negative Matrix Factorization
PRICAI '08 Proceedings of the 10th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
Methods for Evaluating Interactive Information Retrieval Systems with Users
Foundations and Trends in Information Retrieval
User profiles for personalized information access
The adaptive web
Exploring ant colony optimisation for adaptive interactive search
ICTIR'11 Proceedings of the Third international conference on Advances in information retrieval theory
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
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Text summarisation is the process of distilling the most important information from a source to produce an abridged version for a particular user or task. This poster investigates the use of profile-based summarisation to provide contextualisation and interactive support for enterprise searches. We employ log analysis to acquire continuously updated profiles to provide profile-based summarisations of search results. These profiles could be capturing an individual's interests or (as discussed here) those of a group of users. Here we report on a first pilot study.