LocalRec'15: Workshop on Location-Aware Recommendations

The amount of available geo-referenced data has seen a dramatic explosion over the past few years. Human activities now generate digital traces that are annotated with location data, enabling the collection of rich information about people’s interests and habits. This torrent of geo-referenced data provides a tremendous potential to augment recommender systems. The LocalRec’15 workshop brings together scholars from location-based services and recommender systems, and seeks to set out new trends and research directions. Categories and Subject Descriptors H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval—Information Filtering General Terms Algorithms, Design, Experimentation Keywords recommender systems; location-based services

• Type: Journal
• Year: 2015
• Where: RECSYS
• Authors: Panagiotis Bouros, Neal Lathia, Matthias Renz, Francesco Ricci, Dimitris Sacharidis
• Keywords: Control Systems, RECSYS 2015