Office:
Sir Alwyn Williams Building, Room F111
University of Glasgow
Glasgow G12 8QQ
Email: x.wang.6@research.gla.ac.uk
Phone: 0774 933 8541
Research title: Leveraging Review Properties for Effective Recommendation
I am currently a PhD student in the Terrier Group, School of Computing Science.
My supervisors are Prof. Iadh Ounis and Dr Craig Macdonald.
Research Interests:
Information Retrieval
Recommendation Systems
Deep Learning
Wang, X., Fang, A., Ounis, I. and Macdonald, C. (2019) Evaluating Similarity Metrics for Latent Twitter Topics. In: 41st European Conference on Information Retrieval (ECIR 2019), Cologne, Germany, 14-18 Apr 2019, pp. 787-794. ISBN 9783030157128 (doi: 10.1007/978-3-030-15712-8_54)
Wang, X., Ounis, I. and Macdonald, C. (2019) Comparison of Sentiment Analysis and User Ratings in Venue Recommendation. In: 41st European Conference on Information Retrieval (ECIR 2019), Cologne, Germany, 14-18 Apr 2019, pp. 215-228. ISBN 9783030157128 (doi: 10.1007/978-3-030-15712-8_14)
Wang, X., Fang, A., Ounis, I. and Macdonald, C. (2019) Evaluating Similarity Metrics for Latent Twitter Topics. In: 41st European Conference on Information Retrieval (ECIR 2019), Cologne, Germany, 14-18 Apr 2019, pp. 787-794. ISBN 9783030157128 (doi: 10.1007/978-3-030-15712-8_54)
Wang, X., Ounis, I. and Macdonald, C. (2019) Comparison of Sentiment Analysis and User Ratings in Venue Recommendation. In: 41st European Conference on Information Retrieval (ECIR 2019), Cologne, Germany, 14-18 Apr 2019, pp. 215-228. ISBN 9783030157128 (doi: 10.1007/978-3-030-15712-8_14)
The University of Glasgow uses cookies for analytics and advertising. Find out more about our Privacy policy.
Necessary cookies enable core functionality. The website cannot function properly without these cookies, and can only be disabled by changing your browser preferences.
Analytical cookies help us improve our website. We use Google Analytics. All data is anonymised.
Hotjar helps us to understand and improve our users’ behaviour by visually representing their clicks, taps and scrolling. All data is anonymised.
Marketing cookies are used to ensure our marketing content is relevant, timely and interest based. They allow our approved partner to measure effectiveness and serve appropriate and personalised marketing messages on other websites based on your activity on glasgow.ac.uk