466 citations · 781 across the 12 of their papers we have counts for
6 papers · 1 filter
Contrastive Pre-training for Deep Session Data Understanding
Zixuan Li, Lizi Liao, Yunshan Ma +1
Session data has been widely used for understanding user's behavior in e-commerce. Researchers are trying to leverage session data for different tasks, such as purchase intention p…
Learning to Ask Critical Questions for Assisting Product Search
Zixuan Li, Lizi Liao, Tat-Seng Chua
Product search plays an essential role in eCommerce. It was treated as a special type of information retrieval problem. Most existing works make use of historical data to improve t…
Knowledge Enhanced Neural Fashion Trend Forecasting
Yunshan Ma, Yujuan Ding, Xun Yang +3
Fashion trend forecasting is a crucial task for both academia and industry. Although some efforts have been devoted to tackling this challenging task, they only studied limited fas…
Automatic Fashion Knowledge Extraction from Social Media
Yunshan Ma, Lizi Liao, Tat-Seng Chua
Fashion knowledge plays a pivotal role in helping people in their dressing. In this paper, we present a novel system to automatically harvest fashion knowledge from social media. I…
TransNFCM: Translation-Based Neural Fashion Compatibility Modeling
Xun Yang, Yunshan Ma, Lizi Liao +2
Identifying mix-and-match relationships between fashion items is an urgent task in a fashion e-commerce recommender system. It will significantly enhance user experience and satisf…
Neural Collaborative Filtering
Xiangnan He, Lizi Liao, Hanwang Zhang +3
In recent years, deep neural networks have yielded immense success on speech recognition, computer vision and natural language processing. However, the exploration of deep neural n…