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Location-Aware News Recommendation Using Deep Localized Semantic Analysis

Abstract:

With the popularity of mobile devices and the quick growth of the mobile Web, users can now browse news wherever they want, so their news preferences are usually strongly correlated with their geographical contexts. Consequently, many research efforts have been put on location-aware news recommendation; the explored approaches can mainly be divided into physical distancebased and geographical topic-based ones. As for geographical topic-based location-aware news recommendation, ELSA is the sta...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1007/978-3-319-55753-3_32

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
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Grant:
EP/J008346/1, EP/L012138/1, EP/M025268/1, Alan Turing Institute EP/N510129/1
Publisher:
Springer Verlag Publisher's website
Journal:
DASFAA 2017 : The 22nd International Conference on Database Systems for Advanced Applications Journal website
Volume:
10177
Pages:
507-524
Host title:
Lecture Notes in Computer Science
Publication date:
2017-03-22
Acceptance date:
2016-12-22
Event location:
Suzhou, China
Event start date:
2017-03-27T00:00:00Z
Event end date:
2017-03-30T00:00:00Z
DOI:
Source identifiers:
681609
Keywords:
Pubs id:
pubs:681609
UUID:
uuid:65b5591a-7824-4f93-ba59-410a9b7f99f2
Local pid:
pubs:681609
Deposit date:
2017-02-23

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