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July 2017

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皆でIEEE Bigdataいきませんか：The First IEEE Workshop on Human-Machine Collaboration in BigData (HMData2017)
by Atsuyuki Morishima 03 Jul '17

03 Jul '17

日本データベース学会の皆様森嶋です．昨年度より，DE研前委員長の小口先生と，多くの先生方の協力を得て，日本のDBコミュニティの皆様がメジャーカンファレンスに参加しやすい環境を作ろうという事で相談しており，今回は豊田先生が Bigdata2017のWS Chairであることから，下記WSを企画いたしました． Bigdataの既存のWSがあまりカバーていないものとして，Human-factor系にしました．DEIMで発表されているようなトピックのHuman-factor系の DB論文は幅広く対象になるように設計しておりますので，是非多くの皆様にご投稿をいただければ幸いです．それ以外の分野の論文も，Bigdataは様々なWSがありますので，投稿しやすいWSがあると思います． Submission Categoryを見ていただけるとわかりますが，3ページから 10ページまで，どんな論文でも出せるように設計しております．〆切10月ですので時間的には余裕です．どうぞよろしくお願い申し上げます．森嶋厚行 ========================================================= CALL FOR PAPERS ========================================================= The First IEEE Workshop on Human-Machine Collaboration in BigData (HMData2017) co-located with IEEE Bigdata 2017 Date: Dec. 11 (planned) Location: The Westin Copley Place, Boston, MA,USA. http://humanmachinedata.org ========================================================== Important Dates (Tentative): Oct 13 (Fri), 2017: Due date for workshop papers submission Nov 6 (Mon), 2017: Notification of paper acceptance to authors Nov 15 (Wed), 2017: Camera-ready of accepted papers Dec 11-14 2017: Workshops ========================================================== Overview Human power is a key factor to maximize the impact of bigdata technologies. This workshop addresses human-in-the-loop approaches in bigdata lifecycle - in collecting, processing, analyzing, utilizing, archiving and disposing them. The purpose of this workshop is to give excellent opportunities for students, researchers and practitioners to identify important research problems and exchange their ideas on human-in-the-loop in the bigdata context. To make the workshop an attractive place for those people, we plan to solicit practitioner papers as well as research papers, in order to facilitate discussion among researchers who know solutions and practitioners who know problems. We also would like to make the place valuable for young researchers. We plan to provide student travel support (tba). All papers accepted for workshops will be included in the Workshop Proceedings published by the IEEE Computer Society Press, made available at the Conference. Topics This workshop covers a wide range of human-related topics in the bigdata context, such as crowdsourcing, collaborative recommendation, crowdsensing, workflow model for humans and machines, incentives, human-assisted bigdata analysis, bigdata-human interaction, and human-machine collaboration in real-world problems. ========================================================= Keynote Speaker Panos Ipeirotis (NYU Stern School of Business) Bio: Panos Ipeirotis is a Professor and George A. Kellner Faculty Fellow at the Department of Information, Operations, and Management Sciences at Leonard N. Stern School of Business of New York University. He received his Ph.D. degree in Computer Science from Columbia University in 2004. He has received nine ÒBest PaperÓ awards and nominations, a CAREER award from the National Science Foundation, and is the recipient of the 2015 Lagrange Prize in Complex Systems, for his contributions in the field of social media, user-generated content, and crowdsourcing. ========================================================= Submission All submissions must be submitted electronically through CyberChair. All papers accepted for workshops will be included in the Workshop Proceedings published by the IEEE Computer Society Press, made available at the Conference. Submission Categories Research Papers (*) (long presentation): They report significant and original results relevant to the scope of this workshop. We solicit innovative or thought-provoking work but they do not necessarily have to reach the level of completion. The expected length is between 4 and 6 pages. The maximum length is 10 pages, though the paper should be commensurate with the size of the contribution. Practitioner papers (*)(long presentation): They present interesting problems that require human-in-the-loop solutions in a variety of application domains, or present the interesting results of applying existing human-in-the-loop solutions to their domains. The expected length is between 4 and 6 pages. The maximum length is 10 pages, though the paper should be commensurate with the size of the contribution. Project-in-progress papers (short presentation): They present the goals, challenges, and preliminary results of research or real-world projects in progress. The maximum length is 3 pages. (*) Some of the papers submitted to the research or practitioner paper categories may be accepted as project-in-progress papers and allotted to short presentation slots. ========================================================= Organization Chairs Atsuyuki Morihsima (Univesity of Tsukuba) Senjuti Basu Roy (NJIT) Lei Chen (HKUST) Program Committee Sihem Amer-Yahia (CNRS/LIG) Wolf-Tilo Balke (Technische Universitat Braunschweig) Adam Bradley (Amazon) Marina Danilevsky (IBM Research Almaden ) Takahiro Hara (Osaka University) Yoshiharu Ishikawa (Nagoya University) Munenari Inoguchi (Shizuoka University) Hyunjoon Jung (Apple) Vana Kalogeraki (Athens University of Economics and Business) Hisashi Kashima (Kyoto University) Itaru Kitahara (University of Tsukuba) Dongwon Lee (Penn State University) Guoliang Li (Tsinghua University) Shinsuke Nakajima (Kyoto Sangyo University) John O\'Donovan (University of California, Santa Barbara) Masato Oguchi (Ochanomizu University) Satoshi Oyama (Hokkaido University) Nobuyoshi Shimizu (Yahoo!Japan Research) Keishi Tajima (Kyoto University) Saravanan T (QCRI) Masashi Toyoda (The University of Tokyo) Lirong Xia (Rensselaer Polytechnic Institute) Vladimir Zadorozhny (University of Pittsburgh) Demetris Zeinalipour (Max Planck Institute for Informatics and University of Cyprus) ========================================================== _______________________________________________ Please do not post msgs that are not relevant to the database community at large. Go to www.cs.wisc.edu/dbworld for guidelines and posting forms. To unsubscribe, go to https://lists.cs.wisc.edu/mailman/listinfo/dbworld -- Atsuyuki Morishima <morishima-office(a)ml.cc.tsukuba.ac.jp> Research Center for Knowledge Communities, University of Tsukuba The FusionCOMP Project (CyLog, Crowd4U) Programming Languages and Development Platforms for Human Computation and Crowdsourcing Applications http://www.kc.tsukuba.ac.jp/~fusioncomp/ http://crowd4u.org

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ACM SIGIR2017 参加募集案内（参加登録の期限延長）
by Takehiro Yamamoto 03 Jul '17

03 Jul '17

日本データベース学会の皆様（重複して受け取られた方はご容赦ください）京都大学の山本岳洋です． 2017年8月に東京にて開催される SIGIR2017 の参加登録期限が 7月9日（日）に延期されましたのでご案内いたします． http://sigir.org/sigir2017/attend/registration/ 皆様のご参加を心よりお待ちしております． ----------------- ACM SIGIRは情報検索分野における国際会議の最高峰で、2017年に40周年を迎えます。この記念すべきSIGIR 2017は、2017年8月7-11日に新宿の京王プラザホテルで開催されます。日本で開催される初めてのSIGIRです。キーノートは、Okapi BM25で名高いStephen Robertson教授とYahoo Vice President of ResearchのYoelle Maarek博士です。 78フルペーパー（採択率22%）、121ショートペーパー（30%）、17 デモ（47%）、9博士コンソーシアム（64%）の発表と、企業トラック、チュートリアル、ワークショップがあります。参加登録を受付中です。特に学生のパスポートが非常にお得です。併設のサマースクールASSIA2017＠京都も参加受付中です。東京観光、着付け、茶の湯など、同伴者用プログラムも充実しています（海外からの参加者向け）。会場には託児サービスもあります。バンケットはホテル椿山荘東京です。みなさまでお越しくださいませ。 SIGIR 2017 ジェネラルチェア神門典子（国立情報学研究所）酒井哲也（早稲田大学）上保秀夫（筑波大学） ----------------- プログラム http://sigir.org/sigir2017/program/program-at-a-glance/ キーノート（Stephen E. Robertson and Yoelle Maarek） http://sigir.org/sigir2017/program/keynote-speakers/ ワークショップ http://sigir.org/sigir2017/program/workshops/ ATIR’17: Axiomatic Thinking for Information Retrieval and Related Tasks https://www.eecis.udel.edu/‾hfang/ATIR.html BIRNDL’17: Bibliometric-enhanced IR and NLP for Digital Libraries http://wing.comp.nus.edu.sg/birndl-sigir2017/ CAIR’17: Conversational Approaches to Information Retrieval https://sites.google.com/view/cair-ws ECOM’17: eCommerce http://sigir-ecom.weebly.com/ KG4IR’17: Knowledge Graphs and Semantics for Text Retrieval and Analysis https://kg4ir.github.io/ LIARR’17: Lucene for Information Access and Retrieval Research https://liarr2017.github.io/ Neu-IR’17: Neural Information Retrieval http://neu-ir.weebly.com/ OKBQA’17: Open Knowledge Base and Question Answering http://sigir2017.okbqa.org/ チュートリアル http://sigir.org/sigir2017/program/tutorials/ Statistical Significance Testing in Information Retrieval: Theory and Practice Candidate Selection for Large Scale Personalized Search and Recommender Systems A/B Testing at Scale: Accelerating Software Innovation Probabilistic Topic Models for Text Data Retrieval and Mining Neural Networks for Information Retrieval (NN4IR) Building Test Collections: An Interactive Guide for Students and Others Without Their Own Evaluation Conference Series From Design to Analysis: Conducting Controlled Laboratory Experiments with Users SIGIR 2017 Tutorial on Health Search (HS2017)? A Full-day from Consumers to Clinicians 企業トラック SIGIR Symposium on IR in Practice (SIRIP) http://sigir.org/sigir2017/program/sirip/ ソーシャルプログラム http://sigir.org/sigir2017/program/social/ 同伴者用プログラム http://sigir.org/sigir2017/attend/tourist-information/ 託児サービス http://sigir.org/sigir2017/attend/childcare/ 参加登録 http://sigir.org/sigir2017/attend/registration/ Web http://sigir.org/sigir2017/ Twitter https://twitter.com/sigir17 Facebook https://www.facebook.com/sigir2017/ コンタクト sigir2017-contact(a)nii.ac.jp スポンサー http://sigir.org/sigir2017/sponsors/supporters-and-sponsors/ 組織委員会ジェネラルチェア Noriko Kando, National Institute of Informatics Tetsuya Sakai, Waseda University Hideo Joho, University of Tsukuba プログラムチェア Hang Li, Huawei Noah’s Ark Lab Arjen de Vries, Radboud University Ryen White, Microsoft Cortana ショートペーパーチェア Hui Fang, University of Delaware Mounia Lalmas, Yahoo! Yiqun Liu, Tsinghua University デモチェア Gareth Jones, Dublin City University Takehiro Yamamoto, Kyoto University ベストペーパーチェア Douglas W. Oard, University of Maryland SIRIPチェア Sumio Fujita, Yahoo! JAPAN Vanessa Murdock, Microsoft 広報・ソーシャルチェア Yukino Baba, Kyoto University Harumi Murakami, Osaka City University Falk Scholer, RMIT University チュートリアルチェア Fernando Diaz, Spotify Adam Jatowt, Kyoto University 博士コンソーシアムチェア Makoto P. Kato, Kyoto University Kira Radinsky, Technion ワークショップチェア Jaap Kamps, University of Amsterdam Grace Hui Yang, Georgetown University 予稿集チェア Takuya Kida, Hokkaido University Masaharu Yoshioka, Hokkaido University スポンサーチェア Tsuneaki Kato, The University of Tokyo Paraic Sheridan, Dublin City University 40周年記念チェア Diane Kelly, The University of Tennessee, Knoxville 会計 Akiko Aizawa, National Institute of Informatics Hiroaki Ohshima, Kyoto University ローカルアレンジメント Yuka Egusa, National Institute for Educational Policy Research Emi Ishita, Kyushu University Masao Takaku, University of Tsukuba 学生ボランティアチェア Atsushi Keyaki, Tokyo Institute of Technology -- Takehiro Yamamoto, Assistant Professor Department of Social Informatics, Graduate School of Informatics, Kyoto University Email: tyamamot(a)dl.kuis.kyoto-u.ac.jp Tel: 075-753-4957 http://rerank-lab.org/

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