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Ying Chen
Researcher at Beijing Institute of Technology
Publications - 3
Citations - 98
Ying Chen is an academic researcher from Beijing Institute of Technology. The author has contributed to research in topics: Probabilistic latent semantic analysis & Click-through rate. The author has an hindex of 3, co-authored 3 publications receiving 96 citations.
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Proceedings ArticleDOI
Probabilistic latent semantic user segmentation for behavioral targeted advertising
TL;DR: This work proposes a novel user segmentation algorithm named Probabilistic Latent Semantic User Segmentation (PLSUS), which adopts the probabilistic latent semantic analysis to mine the relationship between users and their behaviors so as to segment users in a semantic manner.
Proceedings ArticleDOI
Efficient text classification by weighted proximal SVM
TL;DR: An algorithm that can classify large-scale text data with high classification quality and fast training speed and both the time and memory consumption of the method are less than that of the standard SVM.
Proceedings ArticleDOI
Cross Domain Random Walk for Query Intent Pattern Mining from Search Engine Log
TL;DR: This work proposes Cross Domain Random Walk (CDRW) algorithm, which is semi-supervised, to discover the query intent patterns across different domains from search engine click-through log data and extensive experiment results validate the effectiveness and efficiency of the proposed algorithm.