Xu HE, Bo An, Yanghua Li and

Haikai Chen, Rundong Wang, Xinrun Wang, Runsheng Yu, Xin Li, Zhirong Wang

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Reinforcement learning

Kuan Xu, Chilin Fu, Xiaolu Zhang and

Cen Chen, Ya-Lin Zhang, Wenge Rong, Zujie Wen, Jun Zhou, Xiaolong Li, Yu Qiao

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recommender system, multiple instancelearning, user intent prediction

Han Zhang, Songlin Wang, Kang Zhang and

Zhiling Tang, Yunjiang Jiang, Yun Xiao, Weipeng Yan, Wen-Yun Yang

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semantic matching, search, neural networks

Wenxuan Zhang, Yang Deng, Jing Ma, Wai Lam

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online shopping, evidence-based tasks, answer problem, product-related platforms

Wenxuan Zhang, Yang Deng, Wai Lam

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product question answering, e-commerce, answer ranking, question answering

Wenxuan Zhang, Qian Yu, Wai Lam

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Anxiang Zeng, Han Yu, Hualin He and

Yabo Ni, Yongliang Li, Jingren Zhou, Chunyan Miao

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Zenan Wang, Xuan Yin, Tianbo Li, Liangjie Hong

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causal inference, evaluation metric, experiment, dose-response function, a/b test, mediation analysis, business kpi, meta-analysis

Haolan Zhan, Hainan Zhang, Hongshen Chen and

Lei Shen, Yanyan Lan, Zhuoye Ding, Dawei Yin

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natural language generation, transformer, recommendation reason, posterior network, self-attention

Janusz Tracz, Piotr Iwo Wójcik, Kalina Jasinska-Kobus and

Riccardo Belluzzo, Robert Mroczkowski, Ireneusz Gawlik

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Moumita Bhattacharya, Amey Barapatre

Keywords Abstract Paper

Xichuan Niu, Bofang Li, Chenliang Li and

Rong Xiao, Haochuan Sun, Honggang Wang, Hongbo Deng, Zhenzhong Chen

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e-commerce, gated mechanism, heterogeneous graph, shop search

Yiding Liu, Yulong Gu, Zhuoye Ding and

Junchao Gao, Ziyi Guo, Yongjun Bao, Weipeng Yan

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recommender systems, graph convolution network

Yi Ma, Xiaotian Hao, Jianye Hao and

Jiawen Lu, Xing Liu, Tong Xialiang, Mingxuan Yuan, Zhigang Li, Jie Tang, Zhaopeng Meng

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optimization, reinforcement learning and planning

Chin-Chia Yeh, Zhongfang Zhuang, Wei Zhang, Liang Wang

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multivariate time series, multi-future, multi-horizon

Xiaoru Qu, Zhao Li, Jialin Wang and

Zhipeng Zhang, Pengcheng Zou, Junxiao Jiang, Jiaming Huang, Rong Xiao, Ji Zhang, Jun Gao

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e-commerce, review helpfulness prediction, graph neural networks

Yang Zhang, Bo Tang, Qingyu Yang and

Dou An, Hongyin Tang, Chenyang Xi, Xueying LI, Feiyu Xiong

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reinforcement learning and planning

Miao Xie, Wotao Yin, Huan Xu

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Machine Learning, General, General

Tiangang Zhu, Yue Wang, Haoran Li and

Youzheng Wu, Xiaodong He, Bowen Zhou

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e-commerce scenarios, product retrieval, attribute tasks, multimodal method

Feng-Lin Li, Hehong Chen, Guohai Xu and

Tian Qiu, Feng Ji, Ji Zhang, Haiqing Chen

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e-commerce, pre-sales customer service, domain knowledge graph

Li Yu, Zhengwei Wu, Tianchi Cai and

Ziqi Liu, Zhiqiang Zhang, Lihong Gu, Xiaodong Zeng, Jinjie Gu

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Marco Morik, Ashudeep Singh, Jessica Hong, Thorsten Joachims

Keywords Abstract Paper

learning-to-rank, selection bias, exposure, fairness, ranking, bias

Yifei Zhao, Yu-Hang Zhou, Mingdong Ou and

Huan Xu, Nan Li

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recommendation systems, data mining, online learning

Marco Morik, Ashudeep Singh, Jessica Hong, Thorsten Joachims

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Machine Learning, Learning Preferences or Rankings, Fairness, Information Retrieval, Online Learning

Tan Zhi-Xuan, Jordyn Mann, Tom Silver and

Josh Tenenbaum, Vikash Mansinghka

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Muhammad Umer Anwaar, Dmytro Rybalko, Martin Kleinsteuber

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information retrieval, ranking and preference learning, learning to rank, e-commerce search, implicit feedback, counterfactual risk minimization, dataset, mining data logs

Martin Pavlovski, Jelena Gligorijevic, Ivan Stojkovic and

Shubham Agrawal, Shabhareesh Komirishetty, Djordje Gligorijevic, Narayan Bhamidipati, Zoran Obradovic

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sequential models, user representation, neural embeddings

Juncheng Yang, Yao Yue, K. V. Rashmi

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Yoshifumi Seki, Takanori Maehara

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recommender systems, datasets

Lianghao Xia, Chao Huang, Yong Xu and

Peng Dai, Bo Zhang, Liefeng Bo

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collaborative filtering, transformer network, recommendation, multi-behavior learning, deep neural networks

Hao Gong, Qifang Zhao, Tianyu Li and

Derek Cho, DuyKhuong Nguyen

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multi-task learning, multi-modal model, representation learning, meta-learning

Sriram Vasudevan, Krishnaram Kenthapadi

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scalable framework, distributed computation, fairness-aware machine learning, linkedin fairness toolkit

Jesús Omar Álvarez Márquez, Jürgen Ziegler

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recommender systems, augmented reality, product comparison, preference construction

Jiangxing Yu, Hong Zhu, Chih-Yao Chang and

Xinhua Feng, Bowen Yuan, Xiuqiang He, Zhenhua Dong

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recommender system, influence function, counterfactual learning

Abbas Abdolmaleki, Sandy Huang, Leonard Hasenclever and

Michael Neunert, Martina Zambelli, Murilo Martins, Francis Song, Nicolas Heess, Raia Hadsell, Martin Riedmiller

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Reinforcement Learning - Deep RL

Yulong Gu, Zhuoye Ding, Shuaiqiang Wang and

Lixin Zou, Yiding Liu, Dawei Yin

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click-through rate prediction, conversation rate prediction, recommender systems, e-commerce, multi-task learning

Wentao Xu, Shun Zheng, Liang He and

Bin Shao, Jian Yin, Tie-Yan Liu

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Segmented Graphs, knowledge embedding, artificial intelligence, recommendation

Chaoyu Guan, Xin Wang, wenwu zhu

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Algorithms, AutoML

Santiago Balseiro, Haihao Lu, Vahab Mirrokni

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Algorithms, Online Learning Algorithms

Jacopo Tagliabue, Bingqing Yu, Marie Beaulieu

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