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Collaborative Document Monitoring

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Association for Computing Machinery

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In this paper we present a second generation URL monitoring tool which enables the collaborative evaluation of URL content changes. In our implementation, a document monitoring agent works alongside a recommender system. Using information provided by the monitoring agent, the collaborative system alerts users when documents they are monitoring have changed. The monitoring agent provides automatic evaluation of the nature of the change. Users, however, add subjective evaluations; one user's effort informs all others monitoring the same URL. Based on these subjective evaluations, the collaborative system can filter the changed URLs, providing customized notifications for each user based on individual preferences. In this paper, we describe the implemented system and usage results.

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Glance, Natalie; Meunier, Jean-Luc; Bernard, Pierre; Arregui, Damián (2001): Collaborative Document Monitoring. Proceedings of the 2001 ACM International Conference on Supporting Group Work. DOI: 10.1145/500286.500313. New York, NY, USA: Association for Computing Machinery. pp. 171–178. Boulder, Colorado, USA

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WWW, recommender system, URL monitoring agent

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Number of citations to item: 4

  • Vijay Boyapati, Kristie Chevrier, Avi Finkel, Natalie Glance, Tom Pierce, Robert Stockton, Chip Whitmer (2002): ChangeDetector , In: Proceedings of the 11th international conference on World Wide Web, doi:10.1145/511446.511521
  • Prafulla Bafna, Shailaja Shirwaikar, Dhanya Pramod (2016): Semantic Clustering Driven Approaches to Recommender Systems, In: Proceedings of the 9th Annual ACM India Conference, doi:10.1145/2998476.2998487
  • Prafulla Bafna, Dhanya Pramod, Anagha Vaidya (2017): Precision based recommender system using ontology, In: 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS), doi:10.1109/icecds.2017.8390037
  • Melanie Kellar, Carolyn Watters, Kori M. Inkpen (2007): An exploration of web-based monitoring, In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, doi:10.1145/1240624.1240686
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