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SIGIR 2020 国内企业入围论文清单

SIGIR 2020 国内企业入围论文清单
2020年07月31日 13:14 新浪网 作者 AMiner学术头条

  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 SIGIR2020 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 国内企业入围论文清单

  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 国内企业入围论文清单

  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

  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/

  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/

  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/

  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

  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/

  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/

  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/

  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/

  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/

  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/

  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/

  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/

  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/

  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

  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/

  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/

  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/

  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/

  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/

  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/

  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/

  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/

  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/

  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/

  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/

  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/

  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

  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/

  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/

  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/

  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/

  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/

  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/

  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/

  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/

  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

  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/

  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

  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

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