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Posts by Collection
portfolio
Portfolio item number 2
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publications
Collaborative filtering with social exposure: A modular approach to social recommendation
Published in AAAI, 2018
We assume that people get information of products from their online friends and they do not have to share similar preferences, which is less restrictive and seems closer to reality. Under this new assumption, in this paper, we present a novel recommendation approach (named SERec) to integrate social exposure into collaborative filtering.
Modeling dynamic missingness of implicit feedback for recommendation
Published in NeurIPS, 2018
To model and exploit the dynamics of missingness, we propose a latent variable named “user intent” to govern the temporal changes of item missingness, and a hidden Markov model to represent such a process
Deep Session Interest Network for Click-Through Rate Prediction
Published in IJCAI, 2019
We propose a novel CTR model named Deep Session Interest Network (DSIN) that leverages user’s multiple historical sessions in their behavior sequences.
M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems
Published in KDD, 2020
In this paper, we use a multi-view representation alignment approach to address this issue. Particularly, we propose a multi-task multi-view graph representation learning framework (M2GRL) to learn node representations from multi-view graphs for web-scale recommender systems.
talks
Talk 1 on Relevant Topic in Your Field
Published:
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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