NDLI: A Situational Resource Rating System

Content Provider	IEEE Xplore Digital Library
Author	Thollot, R. Aufaure, M.-A.
Copyright Year	2010
Abstract	Recommendation technologies are considered a major technological trend in both industrial and academic environments. This growing interest was highlighted by, e.g., the Netflix prize which generated an intense competition. Recommender systems are crucial to support users and help them by suggesting resources relevant at a given instant. On the other hand, these systems are a core piece of e-commerce web sites, since they aim at generating more sales by encouraging users to buy more items. However, recommender systems are often designed to work with very specific types of resources, and they hardly take into account the current user’s situation. In this paper, we present our approach to augment an existing recommender system with a situation model. On top of this model, we define a situational interest measure to estimate a user’s interest for a resource, which we demonstrate with a prototypical implementation.
Starting Page	229
Ending Page	234
File Size	349952
Page Count	6
File Format	PDF
ISBN	9781424460816
e-ISBN	9781424460823
DOI	10.1109/DBKDA.2010.31
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-04-11
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Context-aware services Ontologies Sensor phenomena and characterization rating recommendation queries context-awareness Databases Feedback Collaboration Prototypes Marketing and sales Recommender systems situation Context modeling
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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