Conference item
Location-Aware News Recommendation Using Deep Localized Semantic Analysis
- Abstract:
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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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Access Document
- Files:
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(Accepted manuscript, pdf, 559.7KB)
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- Publisher copy:
- 10.1007/978-3-319-55753-3_32
Authors
Funding
+ Engineering and Physical Sciences Research Council
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Grant:
EP/J008346/1, EP/L012138/1, EP/M025268/1, Alan Turing Institute EP/N510129/1
Bibliographic Details
- 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:
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681609
Item Description
- Keywords:
- Pubs id:
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pubs:681609
- UUID:
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uuid:65b5591a-7824-4f93-ba59-410a9b7f99f2
- Local pid:
- pubs:681609
- Deposit date:
- 2017-02-23
Terms of use
- Copyright holder:
- Springer International Publishing AG
- Copyright date:
- 2017
- Notes:
- © Springer International Publishing AG 2017. This article was presented at DASFAA 2017: 22nd International Conference on Database Systems for Advanced Applications (27-30 March 2017: Suzhou, China). This is the accepted manuscript version of the article. The final version is available online from Springer at: [10.1007/978-3-319-55753-3_32]
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