We know what you want to buy : a demographic-based system for product recommendation on microblogs
- Submitting institution
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The University of Warwick
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 6004
- Type
- E - Conference contribution
- DOI
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10.1145/2623330.2623351
- Title of conference / published proceedings
- 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
-
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- Supplementary information
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- Request cross-referral to
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- 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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I - Artificial Intelligence and Human-Centred Computing
- Citation count
- -
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This highly cited paper was published in the top conference in data mining. It represents a breakthrough 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 academia and industry, 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 (Grbovic, Yahoo) and influence maximisation (Galhotra, Xerox). The research was one of the main outputs from EPSRC grant EP/L010690/1.
- Author contribution statement
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- Non-English
- No
- English abstract
- -