25 citations · 52 across the 5 of their papers we have counts for
5 papers
Time-weighted Attentional Session-Aware Recommender System
Mei Wang, Weizhi Li, Yan Yan
Session-based Recurrent Neural Networks (RNNs) are gaining increasing popularity for recommendation task, due to the high autocorrelation of user's behavior on the latest session a…
Hierarchical Bayesian Personalized Recommendation: A Case Study and Beyond
Zitao Liu, Zhexuan Xu, Yan Yan
Items in modern recommender systems are often organized in hierarchical structures. These hierarchical structures and the data within them provide valuable information for building…
From Query-By-Keyword to Query-By-Example: LinkedIn Talent Search Approach
Viet Ha-Thuc, Yan Yan, Xianren Wu +3
One key challenge in talent search is to translate complex criteria of a hiring position into a search query, while it is relatively easy for a searcher to list examples of suitabl…
Optimizing Gross Merchandise Volume via DNN-MAB Dynamic Ranking Paradigm
Yan Yan, Wentao Guo, Meng Zhao +2
With the transition from people's traditional `brick-and-mortar' shopping to online mobile shopping patterns in web 2.0 , the recommender system plays a critical role…
Search by Ideal Candidates: Next Generation of Talent Search at LinkedIn
Viet Ha-Thuc, Ye Xu, Satya Pradeep Kanduri +5
One key challenge in talent search is how to translate complex criteria of a hiring position into a search query. This typically requires deep knowledge on which skills are typical…