STaTRL: Spatial-temporal and text representation learning for POI recommendation
STaTRL: Spatial-temporal and text representation learning for POI recommendation
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Publisher
New York: Springer US
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Language
English
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Publisher
New York: Springer US
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Scope and Contents
Contents
With the rapid development of location-based social networks (LBSNs), point-of-interest (POI) recommendations have become a practical problem attracting more and more attention. Recent studies mostly utilize contextual features and sequential patterns of users’ check-ins to recommend POIs. However, there are still many deficiencies in existing work...
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Full title
STaTRL: Spatial-temporal and text representation learning for POI recommendation
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TN_cdi_proquest_journals_2787064149
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2787064149
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ISSN
0924-669X
E-ISSN
1573-7497
DOI
10.1007/s10489-022-03858-w
