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Journal article

Location-aware personalized news recommendation with deep 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 related to their geographical contexts. Consequently, many research efforts have been put on location-aware news recommendation, which recommends to users news happening nearest to them. Nevertheless, in a real-world context, users’ news preferences are not only related to their locations, but also strongly related to their personal...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1109/ACCESS.2017.2655150

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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
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Name:
Alan Turing Institute
Funding agency for:
Lukasiewicz, T
Xu, Z
Grant:
EPSRC Grant EP/N510129/1
EPSRC Grant EP/N510129/1
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Name:
Engineering and Physical Sciences Research Council
Funding agency for:
Lukasiewicz, T
Xu, Z
Grant:
EPSRC Grant EP/N510129/1
EPSRC Grant EP/N510129/1
More from this funder
Name:
Mutual Project of Beijing Municipal Education Commission
Publisher:
IEEE
Journal:
IEEE Access More from this journal
Volume:
5
Pages:
1624-1638
Publication date:
2017-01-01
Acceptance date:
2016-12-28
DOI:
ISSN:
2169-3536
Keywords:
Pubs id:
pubs:681610
UUID:
uuid:fcb2e3ce-f7de-471f-bae4-408f6c1ec7a3
Local pid:
pubs:681610
Source identifiers:
681610
Deposit date:
2017-02-23

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