- 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...
Expand abstract - Publication status:
- Published
- Peer review status:
- Peer reviewed
- Version:
- Accepted manuscript
- Files:
-
-
(pdf, 559.7KB)
-
- Publisher copy:
- 10.1007/978-3-319-55753-3_32
-
Version unsuitable
-
We have not obtained a suitable full-text for a given research output. See this page for more information.
-
Recently completed
-
Sometimes content is held in ORA but is unavailable for a fixed period of time to comply with the policies and wishes of rights holders.
-
Permissions
-
All content made available in ORA should comply with relevant rights, such as copyright. See this page for more information.
-
Clearance
-
Some thesis volumes scanned as part of the digitisation scheme funded by Dr Leonard Polonsky are currently unavailable due to sensitive material or uncleared third-party copyright content. We are attempting to contact authors whose theses are affected.
- Grant:
- EP/J008346/1, EP/L012138/1, EP/M025268/1, Alan Turing Institute EP/N510129/1
- Publisher:
- Springer Verlag Publisher's website
- Volume:
- 10177
- Pages:
- 507-524
- Publication date:
- 2017-03-22
- Acceptance date:
- 2016-12-22
- DOI:
- Pubs id:
-
pubs:681609
- URN:
-
uri:65b5591a-7824-4f93-ba59-410a9b7f99f2
- UUID:
-
uuid:65b5591a-7824-4f93-ba59-410a9b7f99f2
- Local pid:
- pubs:681609
- 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]
- License:
- CC BY-NC-ND
Conference item
Location-Aware News Recommendation Using Deep Localized Semantic Analysis
Actions
Access Document
Why is the content I wish to access not available via ORA?
Bibliographic data (the information relating to research outputs) and full-text items (e.g. articles, theses, reports, etc.) arrive in ORA from several different sources. Unfortunately we are not able to make available the full-text for every research output.
Please contact the ORA team (
) if you have queries regarding unavailable content OR if you are aware of a full-text copy we can make available.
) if you have queries regarding unavailable content OR if you are aware of a full-text copy we can make available.
Content may be unavailable for the following four reasons
Alternative access to the full-text
You may be able to access the full-text directly from the publisher's website using the 'Publisher Copy' link in the 'Links & Downloads' box from a research output's ORA record page. This method may require an institutional or individual subscription to the journal/resource.
Authors
Funding
+ Engineering and Physical Sciences Research Council
More from this funder
Bibliographic Details
Item Description
Terms of use
If you are the owner of this record, you can report an update to it here: Report update to this record