25 citations · 36 across the 5 of their papers we have counts for
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cs.IR2022
AutoField: Automating Feature Selection in Deep Recommender Systems
Yejing Wang, Xiangyu Zhao, Tong Xu +1
Feature quality has an impactful effect on recommendation performance. Thereby, feature selection is a critical process in developing deep learning-based recommender systems. Most…
cs.IR2017★ 10 cited
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…
cs.IR2016★ 25 cited
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…