We know what you want to buy : a demographic-based system for product recommendation on microblogs
- Submitting institution
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Aston University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 22242984
- Type
- E - Conference contribution
- DOI
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10.1145/2623330.2623351
- Title of conference / published proceedings
- KDD '14 : proceedings of the 20th ACM SIGKDD international conference on Knowledge Discovery and Data mining
- First page
- 1935
- Volume
- -
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- August
- Year of publication
- 2014
- URL
-
-
- Supplementary information
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-
- 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
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5
- Research group(s)
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A - Aston Institute of Urban Technology and the Environment (ASTUTE)
- Citation count
- -
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Presented in a CORE rank A* conference (16% acceptance), the paper represents a break-through in recommendation on microblogs by detecting users' purchase intents from their microblogs in near real-time and making product recommendation through discovery of user and product demographics. The significance of this research is evidenced by its impact on both academics and industries, e.g., e-commerce recommendation (Yu, University of Illinois at Chicago), extraction of product attributes (Bing, CMU; Lam, CUHK), delivering personalised ads to email users (Yahoo Research Labs, USA) and influence maximisation (Xerox Research Centre, India).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
