Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Zhang, Changshuo"'
Nowadays, many recommender systems encompass various domains to cater to users' diverse needs, leading to user behaviors transitioning across different domains. In fact, user behaviors across different domains reveal changes in preference toward reco
Externí odkaz:
http://arxiv.org/abs/2408.08209
Controllable learning (CL) emerges as a critical component in trustworthy machine learning, ensuring that learners meet predefined targets and can adaptively adjust without retraining according to the changes in those targets. We provide a formal def
Externí odkaz:
http://arxiv.org/abs/2407.06083
Recommender systems have been widely used in e-commerce, and re-ranking models are playing an increasingly significant role in the domain, which leverages the inter-item influence and determines the final recommendation lists. Online learning methods
Externí odkaz:
http://arxiv.org/abs/2406.14004
Autor:
Zhang, Changshuo, Shi, Teng, Zhang, Xiao, Zheng, Yanping, Xie, Ruobing, Liu, Qi, Xu, Jun, Wen, Ji-Rong
Question and answer (Q&A) platforms usually recommend question-answer pairs to meet users' knowledge acquisition needs, unlike traditional recommendations that recommend only one item. This makes user behaviors more complex, and presents two challeng
Externí odkaz:
http://arxiv.org/abs/2406.04828
Reinforcement learning (RL) has gained traction for enhancing user long-term experiences in recommender systems by effectively exploring users' interests. However, modern recommender systems exhibit distinct user behavioral patterns among tens of mil
Externí odkaz:
http://arxiv.org/abs/2401.09034
Autor:
Chen, Sirui, Wang, Yuan, Wen, Zijing, Li, Zhiyu, Zhang, Changshuo, Zhang, Xiao, Lin, Quan, Zhu, Cheng, Xu, Jun
Multi-stage ranking pipelines have become widely used strategies in modern recommender systems, where the final stage aims to return a ranked list of items that balances a number of requirements such as user preference, diversity, novelty etc. Linear
Externí odkaz:
http://arxiv.org/abs/2306.05118
Publikováno v:
In Talanta 1 December 2024 280