Augmenting service recommender systems by incorporating contextual opinions from user reviews

User Modeling and User-Adapted Interaction, Volume 25, Issue 3, 2015, Pages 295.0-329.0.

Cited by: 44|Views50
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Abstract:

Context-aware recommender systems have been widely investigated in both academia and industry because they can make recommendations based on a user’s current context (e.g., location, time). However, most existing context-aware techniques only use contextual information at the item level when modeling users’ preferences, i.e., contextual i...More

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