12 citations · 30 across the 4 of their papers we have counts for
4 papers
GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation
Jinming Li, Wentao Zhang, Tian Wang +3
Recent advancements in Natural Language Processing (NLP) have led to the development of NLP-based recommender systems that have shown superior performance. However, current models…
Contrastive Learning for Interactive Recommendation in Fashion
Karin Sevegnani, Arjun Seshadri, Tian Wang +4
Recommender systems and search are both indispensable in facilitating personalization and ease of browsing in online fashion platforms. However, the two tools often operate indepen…
Personalized Embedding-based e-Commerce Recommendations at eBay
Tian Wang, Yuri M. Brovman, Sriganesh Madhvanath
Recommender systems are an essential component of e-commerce marketplaces, helping consumers navigate massive amounts of inventory and find what they need or love. In this paper, w…
Attention-based Mixture Density Recurrent Networks for History-based Recommendation
Tian Wang, Kyunghyun Cho
The goal of personalized history-based recommendation is to automatically output a distribution over all the items given a sequence of previous purchases of a user. In this work, w…