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SIGIR 2020国内企业入围论文清单

小心肝 ☉ 文来源：AMiner学术头条 2020-08-01 @ 哈希力量

【小哈划重点：作为CCF推荐的A类国际学术会议，SIGIR历来都是互联网业内关注的焦点，会议覆盖了信息检索领域相关的各类前沿成果，包括基础理论、算法应用以及评估分析。】

第43届国际“信息检索研究与发展”年会（SIGIR - The International ACM SIGIR Conference on Research and Development in Information Retrieval）已于7月25日召开，由于受疫情影响，改成线上会议模式，面向全球直播。作为CCF推荐的A类国际学术会议，SIGIR历来都是互联网业内关注的焦点，会议覆盖了信息检索领域相关的各类前沿成果，包括基础理论、算法应用以及评估分析。

作为IR领域国际顶级会议，虽然转为线上，但是SIGIR 2020投稿人数和注册参会人数创历史新高，而学生Passport注册费则低至$45。截至统计时间，会议在线注册人数达到1486人（截至发稿时，已经达到1500人），其中非论文学生注册人数达到43%，与学生作者之和预计达到注册人数一半左右。

SIGIR 2020投稿人数和注册参会人数创历史新高

今年的投稿量和录取率再创新高。共收到论文投稿总数1180篇，总共录取340篇。其中，长文投稿555篇，最终录用147篇，录用率约26%；短文投稿507篇，最终录用152篇，录取率约30%。有19位作者提交了10篇及以上论文。论文作者分布世界38个国家，其中中国和美国作者的投稿率和录用率分别名列第一第二。

SIGIR 2020会议论文

AMiner SIGIR 2020顶会专版收录了大会论文，并按作者及机构进行了统计，让读者可以方便地通过作者，机构搜索论文。根据统计，国内有深圳卓艺科技(1)，知乎(1)，平安科技(2)，字节跳动(3)，京东(7)，百度(8)，华为(8)，腾讯(8)，阿里巴巴(27）。可以看到国内大型互联网公司BAT、华为占据了大部分投稿，紧随其后的是京东，字节跳动，知乎等新兴互联网公司。

让我们看看具体有哪些论文入围吧！

国内机构入选论文

阿里巴巴

1 A Deep Recurrent Survival Model for Unbiased Ranking

作者：Jin Jiarui,Fang Yuchen,Zhang Weinan,Ren Kan,Zhou Guorui,Xu Jian,Yu Yong,Wang Jun,Zhu Xiaoqiang,Gai Kun

链接：https://www.aminer.cn/pub/5eabf34391e011664ffd290c/

2 Open-Retrieval Conversational Question Answering

作者：Qu Chen,Yang Liu,Chen Cen,Qiu Minghui,Croft W. Bruce,Iyyer Mohit

链接：https://www.aminer.cn/pub/5ecce8d991e0119170395a86/

3 ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation

作者：Feng Yufei,Hu Binbin,Lv Fuyu,Liu Qingwen,Zhang Zhiqiang,Ou Wenwu

链接：https://www.aminer.cn/pub/5ecce8ed91e0119170395d04/

4 Entire Space Multi-Task Modeling via Post-Click Behavior Decomposition for Conversion Rate Prediction

作者：Hong Wen*,Jing Zhang,Yuan Wang,Wentian Bao,Quan Lin,Keping Yang

链接：https://www.aminer.cn/pub/5ee30ddd9e795e897aa956c8/

5 Sequential Recommendation with Self-Attentive Multi-Adversarial Network

作者：Ren Ruiyang,Liu Zhaoyang,Li Yaliang,Zhao Wayne Xin,Wang Hui,Ding Bolin,Wen Ji-Rong

链接：https://www.aminer.cn/pub/5ec7a33091e0118397f3ef03/

6 Match$^2$: A Matching over Matching Model for Similar Question Identification

作者：Zizhen Wang,Yixing Fan,Jiafeng Guo,Liu Yang,Ruqing Zhang,Yanyan Lan,Xueqi Cheng,Hui Jiang,Xiaozhao Wang

链接：https://www.aminer.cn/pub/5ef3247091e0110c353da656

7 ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance

作者：Chen Zhihong,Xiao Rong,Li Chenliang,Ye Gangfeng,Sun Haochuan,Deng Hongbo

链接：https://www.aminer.cn/pub/5ec7a33091e0118397f3eeca/

8 Understanding Echo Chambers in E-commerce Recommender Systems

作者：Yingqiang Ge,Shuya Zhao,Honglu Zhou,Changhua Pei,Fei Sun,Wenwu Ou,Yongfeng Zhang

链接：https://www.aminer.cn/pub/5f0277e911dc830562231ec0/

9 Detecting User Community in Sparse Domain via Cross-Graph Pairwise Learning

作者：Zheng Gao,Hongsong Li,Zhuoren Jiang,Xiaozhong Liu

链接：https://www.aminer.cn/pub/5f0277e911dc830562231d90/

10 CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network

作者：Zhao Cheng,Li Chenliang,Xiao Rong,Deng Hongbo,Sun Aixin

链接：https://www.aminer.cn/pub/5ec7a33091e0118397f3eece/

11 Global Context Enhanced Graph Nerual Networks for Session-based Recommendation

作者：Ziyang Wang,Wei Wei,Cong Gao,Xiaoli Li,Xianling Mao,Minghui Qiu

链接：https://www.aminer.cn/pub/5f0277e911dc830562231de4/

12 Evolutionary Product Description Generation: A Dynamic Fine-Tuning Approach Leveraging User Click Behavior

作者：Yongzhen Wang,Jian Wang,Heng Huang,Hongsong Li,Xiaozhong Liu

链接：https://www.aminer.cn/pub/5f0277e911dc830562231de2/

13 FashionBERT: Text and Image Matching with Adaptive Loss for Cross-modal Retrieval

作者：Gao Dehong,Jin Linbo,Chen Ben,Qiu Minghui,Wei Yi,Hu Yi,Wang Hao

链接：https://www.aminer.cn/pub/5ec7a32791e0118397f3ebe2/

14 Studying Product Competition Using Representation Learning

作者：Fanglin,Liu Xiao,Proserpio Davide,Troncoso Isamar,Xiong Feiyu

链接：https://www.aminer.cn/pub/5ec7a32791e0118397f3ee3b/

15 Learning Personalized Risk Preferences for Recommendation

作者：Yingqiang Ge,Shuyuan Xu,Shuchang Liu,Zuohui Fu,Fei Sun,Yongfeng Zhang

链接：https://www.aminer.cn/pub/5f0277e911dc830562231d91/

16 GMCM: Graph-based Micro-behavior Conversion Model for Post-click Conversion Rate Estimation

作者：Wentian Bao,Hong Wen,Sha Li,Xiao-Yang Liu,Quan Lin,Keping Yang

链接：https://www.aminer.cn/pub/5f0277e911dc830562231eba/

17 BiANE: Bipartite Attributed Network Embedding

作者：Wentao Huang,Yuchen Li,Yuan Fang,Ju Fan,Hongxia Yang

链接：https://www.aminer.cn/pub/5f0277e911dc830562231d9d/

18 Modeling Personalized Item Frequency Information for Next-basket Recommendation

作者：Hu Haoji,He Xiangnan,Gao Jinyang,Zhang Zhi-Li

链接：https://www.aminer.cn/pub/5ed623da91e01198019afb3d/

19 Think Beyond the Word: Understanding the Implied Textual Meaning by Digesting Context, Local, and Noise

作者：Guoxiu He,Zhe Gao,Zhuoren Jiang,Yangyang Kang,Changlong Sun,Xiaozhong Liu,Wei Lu

链接：https://www.aminer.cn/pub/5f0277e911dc830562231ec4/

20 Creating a Children-Friendly Reading Environment via Joint Learning of Content and Human Attention

作者：Guoxiu He,Yangyang Kang,Zhuoren Jiang,Jiawei Liu,Changlong Sun,Xiaozhong Liu,Wei Lu

链接：https://www.aminer.cn/pub/5f0277e911dc830562231d97/

21 Large Scale Abstractive Multi-Review Summarization (LSARS) via Aspect Alignment

作者：Haojie Pan,Rongqin Yang,Xin Zhou,Rui Wang,Deng Cai,Xiaozhong Liu

链接：https://www.aminer.cn/pub/5f0277e911dc830562231ec8/

22 Robust Layout-aware IE for Visually Rich Documents with Pre-trained Language Models

作者：Wei Mengxi,He Yifan,Zhang Qiong

链接：https://www.aminer.cn/pub/5ecb97f691e011485a943a1d/

23 Towards Linking Camouflaged Descriptions to Implicit Products in E-commerce

作者：Longtao Huang,Bo Yuan,Rong Zhang,Quan Lu

链接：https://www.aminer.cn/pub/5f0277e911dc830562231d9c/

24 MRIF: Multi-resolution Interest Fusion for Recommendation

作者：Shihao Li,Dekun Yang,Bufeng Zhang

链接：https://www.aminer.cn/pub/5f0277e911dc830562231e45/

25 Bridging Hierarchical and Sequential Context Modeling for Question-driven Extractive Answer Summarization

作者：Yang Deng,Wenxuan Zhang,Yaliang Li,Min Yang,Wai Lam,Ying Shen

链接：https://www.aminer.cn/pub/5f0277e911dc830562231e25/

26 MGNN: A Multimodal Graph Neural Network for Predicting the Survival of Cancer Patients

作者：Jianliang Gao,Tengfei Lyu,Fan Xiong,Jianxin Wang,Zhao Li

链接：https://www.aminer.cn/pub/5f0277e911dc830562231e2b/

27 G2T: Generating Fluent Descriptions for Knowledge Graph

作者：Yunzhou Shi,Zhiling Luo,Pengcheng Zhu,Feng Ji,Wei Zhou,Haiqing Chen,Yujiu Yang

链接：https://www.aminer.cn/pub/5f0277e911dc830562231e76/

腾讯

1 TFNet: Multi-Semantic Feature Interaction for CTR Prediction

作者：Shu Wu,Feng Yu,Xueli Yu,Qiang Liu,Liang Wang,Tieniu Tan,Jie Shao,Fan Huang

链接：https://www.aminer.cn/pub/5efb0d5691e011063336d54a/

2 Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation

作者：Fajie Yuan,Xiangnan He,Alexandros Karatzoglou,Liguang Zhang

链接：https://www.aminer.cn/pub/5f0277e911dc830562231df2/

3 A Generic Network Compression Framework for Sequential Recommender Systems

作者：Sun Yang,Yuan Fajie,Yang Ming,Wei Guoao,Zhao Zhou,Liu Duo

链接：https://www.aminer.cn/pub/5ea9503e91e0118eb1e19ebf/

4 Distributed Equivalent Substitution Training for Large-Scale Recommender Systems

作者：Rong Haidong,Wang Yangzihao,Zhou Feihu,Zhai Junjie,Wu Haiyang,Lan Rui,Li Fan,Zhang Han,Yang Yuekui,Guo Zhenyu,Wang Di

链接：https://www.aminer.cn/pub/5d79a4f43a55ac5af95ae25b/

5 DukeNet: A Dual Knowledge Interaction Network for Knowledge-Grounded Conversation

作者：Chuan Meng,Pengjie Ren,Zhumin Chen,Weiwei Sun,Zhaochun Ren,Zhaopeng Tu,Maarten de Rijke

链接：https://www.aminer.cn/pub/5f0277e911dc830562231db9/

6 Read, Attend, and Exclude:Â Multi-Choice Reading Comprehension by Mimicking Human Reasoning Process

作者：Chebin Zhang,Congjian Luo,Junyu Lu,Ao Liu,Bing Bai,Kun Bai,Zenglin Xu

链接：https://www.aminer.cn/pub/5f0277e911dc830562231e9b/

7 Multi-Level Multimodal Transformer Network for Multimodal Recipe Comprehension

作者：Ao Liu,Shuai Yuan,Chenbin Zhang,Congjian Luo,Yaqing Liao,Kun Bai,Zenglin Xu

链接：https://www.aminer.cn/pub/5f0277e911dc830562231e4c/

8 MHM: Multi-modal Clinical Data based Hierarchical Multi-label Diagnosis Prediction

作者：Zhi Qiao,Zhen Zhang,Xian Wu,Shen Ge,Wei Fan

链接：https://www.aminer.cn/pub/5f0277e911dc830562231e68/m

华为

1 Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning

作者：Sijin Zhou,Xinyi Dai,Haokun Chen,Weinan Zhang,Kan Ren,Ruiming Tang,Xiuqiang He,Yong Yu

链接：https://www.aminer.cn/pub/5eede0b791e0116a23aafd7d/

2 Neighbor Interaction Aware Graph Convolution Networks for Recommendation

作者：Jianing Sun,Yingxue Zhang,Wei Guo,Huifeng Guo,Ruiming Tang,Xiuqiang He,Chen Ma,Mark Coates

链接：https://www.aminer.cn/pub/5f0277e911dc830562231dd3/

3 A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data

作者：Dugang Liu,Pengxiang Cheng,Zhenhua Dong,Xiuqiang He,Weike Pan,Zhong Ming

链接：https://www.aminer.cn/pub/5f0277e911dc830562231dab/

4 Influence Function for Unbiased Recommendation

作者：Jiangxing Yu,Hong Zhu,Chihyao Chang,Xinhua Feng,Bo-Wen Yuan,Xiuqiang He,Zhenhua Dong

链接：https://www.aminer.cn/pub/5f0277e911dc830562231e96/

5 AutoGroup: Automatic Feature Grouping for Modelling Explicit High-Order Feature Interactions in CTR Prediction

作者：Bin Liu,Niannan Xue,Huifeng Guo,Ruiming Tang,Stefanos Zafeiriou,Xiuqiang He,Zhenguo Li

链接：https://www.aminer.cn/pub/5f0277e911dc830562231daa/

6 Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based Approach

作者：Kelong Mao,Noah’s Ark Research Lab, Huawei, China,Xi Xiao,,Jieming Zhu,Biao Lu,Ruiming Tang,Xiuqiang He

链接：https://www.aminer.cn/pub/5f0277e911dc830562231ec7/

7 Multi-Branch Convolutional Network for Context-Aware Recommendation

作者：Wei Guo,Can Zhang,Huifeng Guo,Ruiming Tang,Xiuqiang He

链接：https://www.aminer.cn/pub/5f0277e911dc830562231e2f/

8 JIT$^2$R:A Joint Framework for Item Tagging and Tag-based Recommendation

作者：Xu Chen,Changying Du,Xiuqiang He,Jun Wang

链接:https://www.aminer.cn/pub/5f0277e911dc830562231e1f/

百度

1 Spatio-Temporal Dual Graph Attention Network for Query-POI Matching

作者：Zixuan Yuan,Hao Liu,Yanchi Liu,Denghui Zhang,Fei Yi,Nengjun Zhu,Hui Xiong

链接：https://www.aminer.cn/pub/5f0277e911dc830562231df4/

2 Spatial Object Recommendation with Hints: When Spatial Granularity Matters

作者：Luo,Jingbo Zhou,Zhifeng Bao,Shuangli Li,J. Shane Culpepper,Haochao Ying,Hao Liu,Hui Xiong

链接：https://www.aminer.cn/pub/5f0277e911dc830562231db2/

3 Reinforcement Learning to Rank with Pairwise Policy Gradient

作者：Jun Xu,Zeng Wei,Long Xia,Yanyan Lan,Dawei Yin,Xueqi Cheng,Ji-Rong Wen

链接：https://www.aminer.cn/pub/5f0277e911dc830562231dea/

4 Learning Dynamic Node Representations with Graph Neural Networks

作者：Yao Ma,Ziyi Guo,Zhaochun Ren,Jiliang Tang,Dawei Yin

链接：https://www.aminer.cn/pub/5f0277e911dc830562231db4/

5 Neural Interactive Collaborative Filtering

作者：Lixin Zou,Long Xia,Yulong Gu,Weidong Liu,Dawei Yin,Jimmy Huang,Xiangyu Zhao

链接：https://www.aminer.cn/pub/5f0277e911dc830562231e0a/

6 Time Matters: Sequential Recommendation with Complex Temporal Information

作者：Wenwen Ye,Shuaiqiang Wang,Xu Chen,Xuepeng Wang,Zheng Qin,Dawei Yin

链接：https://www.aminer.cn/pub/5f0277e911dc830562231df0/

7 Video Recommendation with Multi-gate Mixture of Experts Soft Actor Critic

作者：Dingcheng Li,Xu Li,Jun Wang,Ping Li

链接：https://www.aminer.cn/pub/5f0277e911dc830562231e43/

8 User-Inspired Posterior Network for Recommendation Reason Generation

作者：Haolan Zhan,Hainan Zhang,Hongshen Chen,Lei Shen,Yanyan Lan,Zhuoye Ding,Dawei Yin

链接：https://www.aminer.cn/pub/5f0277e911dc830562231e99/

京东

1 Learning Dynamic Node Representations with Graph Neural Networks

作者：Yao Ma,Ziyi Guo,Zhaochun Ren,Jiliang Tang,Dawei Yin

链接：https://www.aminer.cn/pub/5f0277e911dc830562231db4/

2 Neural Interactive Collaborative Filtering

作者：Lixin Zou,Long Xia,Yulong Gu,Weidong Liu,Dawei Yin,Jimmy Huang,Xiangyu Zhao

链接：https://www.aminer.cn/pub/5f0277e911dc830562231e0a/

3 MaHRL: Multi-goals Abstraction based Deep Hierarchical Reinforcement Learning for Recommendations

作者：Dongyang Zhao,Liang Zhang,Bo Zhang,Lizhou Zheng,Yongjun Bao,Weipeng Yan

链接：https://www.aminer.cn/pub/5f0277e911dc830562231dff/

4 Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network

作者：Lianghao Xia,Chao Huang,Yong Xu,Peng Dai,Bo Zhang,Liefeng Bo

链接：https://www.aminer.cn/pub/5f0277e911dc830562231ece/

5 Towards Personalized and Semantic Retrieval: An End-to-End Solution for E-commerce Search via Embedding Learning

作者：Han Zhang,Songlin Wang,Kang Zhang,Zhiling Tang,Yunjiang Jiang,Yun Xiao,Paul Yan,Wen-Yun Yang

链接：https://www.aminer.cn/pub/5f0277e911dc830562231ecf/

6 Time Matters: Sequential Recommendation with Complex Temporal Information

作者：Wenwen Ye,Shuaiqiang Wang,Xu Chen,Xuepeng Wang,Zheng Qin,Dawei Yin

链接：https://www.aminer.cn/pub/5f0277e911dc830562231df0/

7 User-Inspired Posterior Network for Recommendation Reason Generation

作者：Haolan Zhan,Hainan Zhang,Hongshen Chen,Lei Shen,Yanyan Lan,Zhuoye Ding,Dawei Yin

链接：https://www.aminer.cn/pub/5f0277e911dc830562231e99/

字节跳动

1 Automated Embedding Size Search in Deep Recommender Systems

作者：Haochen Liu,Xiangyu Zhao,Chong Wang,Xiaobing Liu,Jiliang Tang

链接：https://www.aminer.cn/pub/5f0277e911dc830562231ec5/

2 AutoGroup: Automatic Feature Grouping for Modelling Explicit High-Order Feature Interactions in CTR Prediction

作者：Bin Liu,Niannan Xue,Huifeng Guo,Ruiming Tang,Stefanos Zafeiriou,Xiuqiang He,Zhenguo Li

链接:https://www.aminer.cn/pub/5f0277e911dc830562231daa/

3 QuAChIE: Question Answering based Chinese Information Extraction System

作者：Dongyu Ru,Zhenghui Wang,Lin Qiu,Hao Zhou,Lei Li,Weinan Zhang,Yong Yu

链接：https://www.aminer.cn/pub/5f0277e911dc830562231eb4/

平安科技

1 A Heterogeneous Information Network based Cross Domain Insurance Recommendation System for Cold Start Users

作者：Ye Bi,Liqiang Song,Mengqiu Yao,Zhenyu Wu,Jianming Wang,Jing Xiao

链接：https://www.aminer.cn/pub/5f0277e911dc830562231ebb/

2 DCDIR: A Deep Cross-Domain Recommendation System for Cold Start Users in Insurance Domain

作者：Ye Bi,Liqiang Song,Mengqiu Yao,Zhenyu Wu,Jianming Wang,Jing Xiao

链接：https://www.aminer.cn/pub/5f0277e911dc830562231e16/

知乎

1 Beyond User Embedding Matrix: Learning to Hash for Modeling Large-Scale Users in Recommendation

作者：Shaoyun Shi,Weizhi Ma,Min Zhang,Yongfeng Zhang,Xinxing Yu,Houzhi Shan,Yiqun Liu,Shaoping Ma

链接：https://www.aminer.cn/pub/5f0277e911dc830562231dcf/

深圳卓艺科技

1 Table Search Using a Deep Contextualized Language Model

作者：Chen Zhiyu,Trabelsi Mohamed,Heflin Jeff,Xu Yinan,Davison Brian D.

链接：https://www.aminer.cn/pub/5ec48cc4da5629efe0884d76/

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