信息检索与数据挖掘 2019/3/311 信息检索与数据挖掘 课程要求（2019)：论文阅读&研讨
信息检索与数据挖掘 2019/3/31 1 信息检索与数据挖掘 课程要求（2019）：论文阅读&研讨
信息检索与数据挖掘 2019/3/312 文献阅读建议 ·每人阅读一篇文献并做PPT,安排1或2次课讲解（ 演讲人随机抽取)。 ·建议从课程内容相关会议的近10年的Best Paperi或 onourable Mentions中选取，如 SIGIR (Information Retrieval) ·WWW(World Wide Web) KDD(Knowledge Discovery and Data Mining) CIKM(Knowledge Management) http://jeffhuang.com/best_paper_awards.html NIPS (Neural Information Processing Systems) ·https:l/nips.cc/
信息检索与数据挖掘 2019/3/31 2 文献阅读建议 • 每人阅读一篇文献并做PPT，安排1或2次课讲解（ 演讲人随机抽取）。 • 建议从课程内容相关会议的近10年的Best Paper或 Honourable Mentions中选取，如 • SIGIR (Information Retrieval) • WWW (World Wide Web) • KDD (Knowledge Discovery and Data Mining) • CIKM (Knowledge Management) • http://jeffhuang.com/best_paper_awards.html • NIPS (Neural Information Processing Systems) • https://nips.cc/
信息检索与数据挖掘 2019/3/313 Best Paper Awards in Computer Science(since 1996) https://jeffhuang.com/best paper awards.html By Conference:AAAI ACL CHI CIKM CVPR FOCS FSE ICCV ICML ICSE IJCAI INFO COM KDD MOBICOM NSDI OSDI PLDI PODS S&P SIGCOMM SIGIR SIGMETRICS SIGMOD SODA SOSP STOC UIST VLDB WWW
信息检索与数据挖掘 2019/3/31 3 Best Paper Awards in Computer Science (since 1996) • https://jeffhuang.com/best_paper_awards.html • By Conference: AAAI ACL CHI CIKM CVPR FOCS FSE ICCV ICML ICSE IJCAI INFO COM KDD MOBICOM NSDI OSDI PLDI PODS S&P SIGCOMM SIGIR SIGMETRICS SIGMOD SODA SOSP STOC UIST VLDB WWW
信息检索与数据挖掘 2019/3/314 http://sigir.org/sigir2019/ The 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval will take place on July 21-25,2019 in Paris. ·ACM SIGIR是国际计算机协会信息检索大会的缩写。 SIGR专注于信息存储、检索和传播的各个方面，包括研 究战略、输出方案和系统评估。 ·国际信息检索大会的历史可以追溯到1971年。当年，Jack Minker和Sam Rosenfeld:组织召开了ACM SIGIR的信息存 储和检索研讨会
信息检索与数据挖掘 2019/3/31 4 http://sigir.org/sigir2019/ • The 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval will take place on July 21-25, 2019 in Paris. • ACM SIGIR 是国际计算机协会信息检索大会的缩写。 SIGIR 专注于信息存储、检索和传播的各个方面，包括研 究战略、输出方案和系统评估。 • 国际信息检索大会的历史可以追溯到1971年。当年，Jack Minker 和Sam Rosenfeld组织召开了ACM SIGIR 的信息存 储和检索研讨会
信息检索与数据挖掘 2019/3/315 SIGIR 2018 Best Paper Should I Follow the Crowd?A Probabilistic Analysis of the Effectiveness of Popularity in Recommender Systems The use of IR methodology in the evaluation of recommender systems has become common practice in recent years.IR metrics have been found however to be strongly biased towards rewarding algorithms that recommend popular......The fundamental question remains open though whether popularity is really a bias we should avoid or not;whether it could be a useful and reliable signal in recommendation,or it may be unfairly rewarded by the experimental biases.......We build a crowdsourced dataset devoid of the usual biases MovieLens 1M Netflix 0.3 □ Random recommendation Popularity(nr.positive ratings) 0.2 ▣Average rating User-based kNN 01 Item-based kNN 0 Matrix factorization Figure 1:Typical offline experimental results for non-per- sonalized popularity-based recommendation compared to personalized algorithms on two public datasets
信息检索与数据挖掘 2019/3/31 5 SIGIR 2018 Best Paper Should I Follow the Crowd? A Probabilistic Analysis of the Effectiveness of Popularity in Recommender Systems The use of IR methodology in the evaluation of recommender systems has become common practice in recent years. IR metrics have been found however to be strongly biased towards rewarding algorithms that recommend popular …... The fundamental question remains open though whether popularity is really a bias we should avoid or not; whether it could be a useful and reliable signal in recommendation, or it may be unfairly rewarded by the experimental biases. …... We build a crowdsourced dataset devoid of the usual biases ……