Recommending interesting activity-related local entities

Authors:
Jie Tang;Ryen W. White;Peter Bailey
Affiliations:
University of California, Berkeley, Berkeley, CA, USA;Microsoft Research, Redmond, WA, USA;Microsoft Bing, Bellevue, WA, USA
Venue:
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Year:
2011

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Abstract

When searching for entities with a strong local character (e.g., a museum), people may also be interested in discovering proximal activity-related entities (e.g., a café). Geographical proximity is a necessary, but not sufficient, qualifier for recommending other entities such that they are related in a useful manner (e.g., interest in a fish market does not imply interest in nearby bookshops, but interest in other produce stores is more likely). We describe and evaluate methods to identify such activity-related local entities.