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20172022
most citedCascade Ranking for Operational E-commerce Search

111 citations · 426 across the 25 of their papers we have counts for

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Showing cs.IRShow all

5 papers · 1 filter

cs.IR20195 cited

Rumor Detection on Social Media: Datasets, Methods and Opportunities

Quanzhi Li, Qiong Zhang, Luo Si +1

Social media platforms have been used for information and news gathering, and they are very valuable in many applications. However, they also lead to the spreading of rumors and fa…

cs.IR2019

Review-based Question Generation with Adaptive Instance Transfer and Augmentation

Qian Yu, Lidong Bing, Qiong Zhang +2

Online reviews provide rich information about products and service, while it remains inefficient for potential consumers to exploit the reviews for fulfilling their specific inform…

cs.IR201716 cited

Ensemble Methods for Personalized E-Commerce Search Challenge at CIKM Cup 2016

Chen Wu, Ming Yan, Luo Si

Personalized search has been a hot research topic for many years and has been widely used in e-commerce. This paper describes our solution to tackle the challenge of personalized e…

cs.IR20171 cited

Recommending Complementary Products in E-Commerce Push Notifications with a Mixture Model Approach

Huasha Zhao, Luo Si, Xiaogang Li +1

Push notification is a key component for E-commerce mobile applications, which has been extensively used for user growth and engagement. The effectiveness of the push notification…

cs.IR201783 cited

Session-aware Information Embedding for E-commerce Product Recommendation

Chen Wu, Ming Yan, Luo Si

Most of the existing recommender systems assume that user's visiting history can be constantly recorded. However, in recent online services, the user identification may be usually…