research
∙
09/09/2023
RecAD: Towards A Unified Library for Recommender Attack and Defense
In recent years, recommender systems have become a ubiquitous part of ou...
share
research
∙
06/07/2023
Embracing Uncertainty: Adaptive Vague Preference Policy Learning for Multi-round Conversational Recommendation
Conversational recommendation systems (CRS) effectively address informat...
research
∙
02/07/2023
On the Theories Behind Hard Negative Sampling for Recommendation
Negative sampling has been heavily used to train recommender models on l...
research
∙
02/22/2022
KuaiRec: A Fully-observed Dataset for Recommender Systems
Recommender systems are usually developed and evaluated on the historica...
research
∙
02/19/2022
Who Are the Best Adopters? User Selection Model for Free Trial Item Promotion
With the increasingly fierce market competition, offering a free trial h...
research
∙
01/23/2021
Advances and Challenges in Conversational Recommender Systems: A Survey
Recommender systems exploit interaction history to estimate user prefere...
research
∙
09/08/2019