Joint interaction with context operation for collaborative filtering
- Submitting institution
-
The University of Sheffield
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 2561
- Type
- D - Journal article
- DOI
-
10.1016/j.patcog.2018.12.003
- Title of journal
- Pattern Recognition
- Article number
- -
- First page
- 729
- Volume
- 88
- Issue
- -
- ISSN
- 0031-3203
- Open access status
- Compliant
- Month of publication
- December
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
3
- Research group(s)
-
C - Machine Learning
- Citation count
- 4
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper presents the state-of-the-art collaborative filtering method for context-aware recommendation. This work led to the prestigious Amazon Research Award 2018 (USD 71,000; one of the 5 UK awardees) and to an ongoing collaboration with Amazon Seattle (contact: Senior Applied Scientist at Amazon) for further development of the next-generation recommender systems.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -