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Semantic trajectory-based high utility item recommendation system.
- Source :
-
Expert Systems with Applications . Aug2014, Vol. 41 Issue 10, p4762-4776. 15p. - Publication Year :
- 2014
-
Abstract
- Highlights: [•] We propose a new approach for mobile users’ movement behavior mining and prediction and items recommendation. [•] We employ the notion of semantic trajectory similarity to cluster similar users together. [•] Based on the trajectory patterns and high utility itemsets, we propose a novel location-based recommendation strategy. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 09574174
- Volume :
- 41
- Issue :
- 10
- Database :
- Academic Search Index
- Journal :
- Expert Systems with Applications
- Publication Type :
- Academic Journal
- Accession number :
- 95500401
- Full Text :
- https://doi.org/10.1016/j.eswa.2014.01.042