Xi Wang

Orcid: 0000-0001-5936-9919

Affiliations:
  • University of Glasgow, UK


According to our database1, Xi Wang authored at least 11 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
A Social-aware Gaussian Pre-trained model for effective cold-start recommendation.
Inf. Process. Manag., March, 2024

2022
BanditProp: Bandit Selection of Review Properties for Effective Recommendation.
ACM Trans. Web, 2022

Multi-modal Graph Contrastive Learning for Micro-video Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Effective Rating Prediction Using an Attention-Based User Review Sentiment Model.
Proceedings of the Advances in Information Retrieval, 2022

2021
Leveraging Review Properties for Effective Recommendation.
Proceedings of the WWW '21: The Web Conference 2021, 2021

2020
University of Glasgow Terrier Team at the TREC 2020 Deep Learning Track.
Proceedings of the Twenty-Ninth Text REtrieval Conference, 2020

BETA-Rec: Build, Evaluate and Tune Automated Recommender Systems.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Negative Confidence-Aware Weakly Supervised Binary Classification for Effective Review Helpfulness Classification.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
University of Glasgow Terrier Team at the TREC 2019 Deep Learning Track.
Proceedings of the Twenty-Eighth Text REtrieval Conference, 2019

Comparison of Sentiment Analysis and User Ratings in Venue Recommendation.
Proceedings of the Advances in Information Retrieval, 2019

Evaluating Similarity Metrics for Latent Twitter Topics.
Proceedings of the Advances in Information Retrieval, 2019


  Loading...