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小心肝 原创

SIGIR 2020 国内企业入围论文清单

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。

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。

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/

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/

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/

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/

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/

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/

AMiner学术头条
AMiner学术头条

AMiner平台由清华大学计算机系研发,拥有我国完全自主知识产权。系统2006年上线,吸引了全球220个国家/地区800多万独立IP访问,数据下载量230万次,年度访问量1000万,成为学术搜索和社会网络挖掘研究的重要数据和实验平台。

https://www.aminer.cn/
专栏二维码
理论SIGIR 2020
相关数据
华为机构

华为创立于1987年,是全球领先的ICT(信息与通信)基础设施和智能终端提供商。

https://www.huawei.com/cn/
字节跳动机构

北京字节跳动科技有限公司成立于2012年,是最早将人工智能应用于移动互联网场景的科技企业之一,是中国北京的一家信息科技公司,地址位于北京市海淀区知春路甲48号。其独立研发的“今日头条”客户端,通过海量信息采集、深度数据挖掘和用户行为分析,为用户智能推荐个性化信息,从而开创了一种全新的新闻阅读模式

https://bytedance.com
平安赛飞AI平台机构

平安赛飞AI平台是平安自主研发的AI模型从研发到落地的全生命周期工具平台,涵盖数据标注-模型训练-模型压缩-高性能推理的AI全生命周期工具和服务,提供丰富的、经过调试打磨的开源AI算法库,支持大规模并行试验和自动调参,可缩短研发周期并提升研发效率约4.8倍,降低单位GPU使用成本约2.4倍,已成功落地并服务于金融、医疗健康、教育和城市服务等多个行业的20多家专业公司。自2019年成立以来,赛飞累计获得约100项发明专利,夺取11个国际竞赛总冠军和15个单项世界第一,发表20余篇Nature子刊、AAAI和IJCAI等顶级技术论文,获得300+国内外知名媒体报道。荣获2019 CCF 科学技术奖科技进步杰出奖,IDC 亚太区智慧城市大奖。

http://tech.pingan.com/
信息检索技术

信息检索(IR)是基于用于查询检索信息的任务。流行的信息检索模型包括布尔模型、向量空间模型、概率模型和语言模型。信息检索最典型和最常见的应用是搜索引擎。

阿里巴巴机构

阿里巴巴网络技术有限公司(简称:阿里巴巴集团)是以曾担任英语教师的马云为首的18人于1999年在浙江杭州创立的公司。

https://www.alibabagroup.com/
百度智能云机构

百度是全球最大的中文搜索引擎,是一家互联网综合信息服务公司,更是全球领先的人工智能平台型公司。2000年1月1日创立于中关村,公司创始人李彦宏拥有“超链分析”技术专利,也使中国成为美国、俄罗斯、和韩国之外,全球仅有的4个拥有搜索引擎核心技术的国家之一。

http://www.baidu.com
京东机构

京东(股票代码:JD),中国自营式电商企业,创始人刘强东担任京东集团董事局主席兼首席执行官。旗下设有京东零售、京东物流、京东科技子集团、印尼&泰国海外合资跨境电商等核心业务。2013年正式获得虚拟运营商牌照。2014年5月在美国纳斯达克证券交易所正式挂牌上市。 2016年6月与沃尔玛达成深度战略合作。

https://www.jd.com
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腾讯机构

腾讯,1998年11月诞生于中国深圳,是一家以互联网为基础的科技与文化公司。我们的使命是“通过互联网服务提升人类生活品质”。腾讯秉承着 “一切以用户价值为依归”的经营理念,为亿万网民提供优质的互联网综合服务。 腾讯的战略目标是“连接一切”,我们长期致力于社交平台与数字内容两大核心业务:一方面通过微信与QQ等社交平台,实现人与人、服务及设备的智慧连接;另一方面为数以亿计的用户提供优质的新闻、视频、游戏、音乐、文学、动漫、影业等数字内容产品及相关服务。我们还积极推动金融科技的发展,通过普及移动支付等技术能力,为智慧交通、智慧零售、智慧城市等领域提供有力支持。

http://www.tencent.com/
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知乎机构

知乎,中文互联网综合性内容平台,自 2010 年成立以来,知乎凭借认真、专业、友善的社区氛围,独特的产品机制,以及结构化、易获得的优质内容,聚集了中文互联网科技、商业、影视、时尚、文化等领域最具创造力的人群,已成为综合性、全品类,在诸多领域具有关键影响力的内容平台。知乎将AI广泛应用与社区,构建了人、内容之间的多元连接,提升了社区的运转效率和用户体验。知乎通过内容生产、分发,社区治理等领域的AI应用,也创造了独有的技术优势和社区AI创新样本。

zhihu.com
Xu Jia人物

比利时鲁汶大学助理研究员。研究领域:计算机视觉、机器学习、图像处理。

Tieniu Tan人物

谭铁牛, 英国帝国理工学院电子电气工程系图像处理专业博士研究生,中国科学院院士、英国皇家工程院外籍院士、发展中国家科学院院士和巴西科学院通讯院士。现任中央政府驻港联络办副主任、中国科学院自动化研究所研究员、博士生导师、智能感知与计算研究中心主任。

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