第 43 屆國際 “資訊檢索研究與發展” 年會（SIGIR - The International ACM SIGIR Conference on Research and Development in Information Retrieval）已於 7 月 25 日召開，由於受疫情影響，改成線上會議模式，面向全球直播。作為 CCF 推薦的 A 類國際學術會議，SIGIR 歷來都是網際網路業內關注的焦點，會議覆蓋了資訊檢索領域相關的各類前沿成果，包括基礎理論、演算法應用以及評估分析。
作為 IR 領域國際頂級會議，雖然轉為線上，但是 SIGIR2020 投稿人數和註冊參會人數創歷史新高，而學生 Passport 註冊費則低至 $45。截至統計時間，會議線上註冊人數達到 1486 人（截至發稿時，已經達到 1500 人），其中非論文學生註冊人數達到 43%，與學生作者之和預計達到註冊人數一半左右。
今年的投稿量和錄取率再創新高。共收到論文投稿總數 1180 篇，總共錄取 340 篇。其中，長文投稿 555 篇，最終錄用 147 篇，錄用率約 26%；短文投稿 507 篇，最終錄用 152 篇，錄取率約 30%。有 19 位作者提交了 10 篇及以上論文。論文作者分佈世界38 個國家，其中中國和美國作者的投稿率和錄用率分別名列第一第二。
AMiner SIGIR 2020 頂會專版收錄了大會論文，並按作者及機構進行了統計，讓讀者可以方便地透過作者，機構搜尋論文。根據統計，國內有深圳卓藝科技(1),知乎(1)，平安科技(2)，位元組跳動(3)，京東(7)，百度(8)，華為(8)，騰訊(8)，阿里巴巴(27）。可以看到國內大型網際網路公司 BAT，華為佔據了大部分投稿，緊隨其後的是京東，位元組跳動，知乎等新興網際網路公司。
讓我們看看具體有哪些論文入圍吧！
國內機構入選論文
阿里巴巴
1 A Deep Recurrent Survival Model for Unbiased Ranking
作者：Jin Jiarui,Fang Yuchen,Zhang Weinan,Ren Kan,Zhou Guorui,Xu Jian,Yu Yong,Wang Jun,Zhu Xiaoqiang,Gai Kun
連結：https://www.aminer.cn/pub/5eabf34391e011664ffd290c/
2 Open-Retrieval Conversational Question Answering作者：Qu Chen,Yang Liu,Chen Cen,Qiu Minghui,Croft W. Bruce,Iyyer Mohit
連結：https://www.aminer.cn/pub/5ecce8d991e0119170395a86/
3 ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation作者：Feng Yufei,Hu Binbin,Lv Fuyu,Liu Qingwen,Zhang Zhiqiang,Ou Wenwu
連結：https://www.aminer.cn/pub/5ecce8ed91e0119170395d04/
4 Entire Space Multi-Task Modeling via Post-Click Behavior Decomposition for Conversion Rate Prediction作者：Hong Wen*,Jing Zhang,Yuan Wang,Wentian Bao,Quan Lin,Keping Yang
連結：https://www.aminer.cn/pub/5ee30ddd9e795e897aa956c8/
5 Sequential Recommendation with Self-Attentive Multi-Adversarial Network作者：Ren Ruiyang,Liu Zhaoyang,Li Yaliang,Zhao Wayne Xin,Wang Hui,Ding Bolin,Wen Ji-Rong
連結：https://www.aminer.cn/pub/5ec7a33091e0118397f3ef03/
6 Match$^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
連結：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
連結：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
連結：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
連結：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
連結：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
連結：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
連結：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
連結：https://www.aminer.cn/pub/5ec7a32791e0118397f3ebe2/
14 Studying Product Competition Using Representation Learning
作者：Fanglin,Liu Xiao,Proserpio Davide,Troncoso Isamar,Xiong Feiyu
連結：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
連結：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
連結：https://www.aminer.cn/pub/5f0277e911dc830562231eba/
17 BiANE: Bipartite Attributed Network Embedding
作者：Wentao Huang,Yuchen Li,Yuan Fang,Ju Fan,Hongxia Yang
連結：https://www.aminer.cn/pub/5f0277e911dc830562231d9d/
作者：Hu Haoji,He Xiangnan,Gao Jinyang,Zhang Zhi-Li
連結：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
連結：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
連結：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
連結：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
連結：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
連結：https://www.aminer.cn/pub/5f0277e911dc830562231d9c/
24 MRIF: Multi-resolution Interest Fusion for Recommendation作者：Shihao Li,Dekun Yang,Bufeng Zhang
連結：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
連結：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
連結：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
連結：https://www.aminer.cn/pub/5f0277e911dc830562231e76/
騰訊
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
連結：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
連結：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
連結：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
連結：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
連結：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
連結：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
連結：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
連結：https://www.aminer.cn/pub/5f0277e911dc830562231e68/m
華為
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
連結：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
連結：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
連結：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
連結：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
連結：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
連結：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
連結：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
連結:https://www.aminer.cn/pub/5f0277e911dc830562231e1f/
百度
作者：Zixuan Yuan,Hao Liu,Yanchi Liu,Denghui Zhang,Fei Yi,Nengjun Zhu,Hui Xiong
連結：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
連結：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
連結：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
連結：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
連結：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
連結：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
連結：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
連結：https://www.aminer.cn/pub/5f0277e911dc830562231e99/
京東
1 Learning Dynamic Node Representations with Graph Neural Networks作者：Yao Ma,Ziyi Guo,Zhaochun Ren,Jiliang Tang,Dawei Yin
連結：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
連結：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連結：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
連結：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
連結：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
連結：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
連結：https://www.aminer.cn/pub/5f0277e911dc830562231e99/
位元組跳動
1 Automated Embedding Size Search in Deep Recommender Systems作者：Haochen Liu,Xiangyu Zhao,Chong Wang,Xiaobing Liu,Jiliang Tang
連結：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
連結: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
連結：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
連結：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
連結：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
連結：https://www.aminer.cn/pub/5f0277e911dc830562231dcf/
深圳卓藝科技
1 Table Search Using a Deep Contextualized Language Model作者：Chen Zhiyu,Trabelsi Mohamed,Heflin Jeff,Xu Yinan,Davison Brian D.
連結：https://www.aminer.cn/pub/5ec48cc4da5629efe0884d76/