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Tag-Aware Personalized Recommendation Using a Hybrid Deep Model

Abstract:

Recently, many efforts have been put into tag-aware personalized recommendation. However, due to uncontrolled vocabularies, social tags are usually redundant, sparse, and ambiguous. In this paper, we propose a deep neural network approach to solve this problem by mapping the tag-based user and item profiles to an abstract deep feature space, where the deep-semantic similarities between users and their target items (resp., irrelevant items) are maximized (resp., minimized). To ensure the scala...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted manuscript

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Publisher copy:
10.24963/ijcai.2017/446

Authors


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Institution:
University of Oxford
Department:
Oxford, MPLS, Computer Science
More by this author
Institution:
University of Oxford
Department:
Oxford, MPLS, Computer Science
More by this author
Institution:
University of Oxford
Department:
Oxford, MPLS, Computer Science

Contributors

Role:
Editor
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Grant:
EP/J008346/1, EP/L012138/1, EP/M025268/1, Alan Turing Institute EP/N510129/1
Publisher:
AAAI Press/International Joint Conferences on Artificial Intelligence Publisher's website
Pages:
3196-3202
Publication date:
2017-08-25
Acceptance date:
2017-04-24
DOI:
Pubs id:
pubs:701737
URN:
uri:96f86996-c549-47ec-a1ac-5289199ea97c
UUID:
uuid:96f86996-c549-47ec-a1ac-5289199ea97c
Local pid:
pubs:701737

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