Abstract
The growing number of online accessible services call for effective techniques to support users in discovering, selecting, and aggregating services. We present WS-Advisor, a framework for enabling users to capture and share task memories. A task memory represents knowledge (e.g., context and user rating) about services selection history for a given task. WS-Advisor provides a declarative language that allows users to share task definitions and task memories with other users and communities. The service selection component of this framework enables a user agent to improve its service selection recommendations by leveraging task memories of other user agents with which the user share tasks in addition to the local task memories. © Springer-Verlag Berlin Heidelberg 2007.
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CITATION STYLE
Bova, R., Paik, H. Y., Benatallah, B., Zeng, L., & Benbernou, S. (2007). Task memories and task forums: A foundation for sharing service-based personal processes. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4749 LNCS, pp. 365–376). Springer Verlag. https://doi.org/10.1007/978-3-540-74974-5_30
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