The conclusion for sigir 2011 made by myself. I hope it can be of help for you.

1. The Conclusion for SIGIR 2011 Zhejiang Univ CCNT Yueshen XU

2. 目录 IR 领域的思考 1 IR 领域中知名学者与研究机构 2 会议本身的体验 3 由 SIGIR 想到的其他会议 4

3. 从 SIGIR 看当今 IR 领域的组成 Learning to Rank, Query Analysis Personalization, Retrieval Model Web IR, Image Search, Index Recommender System, Multimedia IR Vertical & Entity Research Communities, Social Media Offer Methods: CF, Classification, Clustering SIGIR/IR Traditional IR DM NLP&TM Common Latent Semantic Analysis Content Analysis, Sentiment Analysis Linguistic Analysis Multilingual IR Text Summarization Effectiveness, Efficiency

5. 以后怎么找点，解决问题呢 IR Learning to Rank Ranking Adaption Gradient Boosted Tree IR Retrieval Model Pseudo -Relevance Feedback Boosting Approach Field Topic Point Method Field From Papers Field From Papers

7. 由 SIGIR 形成对 IR 的基本认识 Application System Demo Deployment etc. Methodology Problem Relevance Feedback Ranking Adaption Active Query etc. Object of Research in IR Algorithm Mathematic Strategy what we should concern about what those companies are interested in obtain from those papers

8. 对 IR 中方法论的认识 Method-logy Algorithm Mathe -matic Strategy Mathe -matic Data Structure ! Index etc. Text Semantic Analysis etc. Probability Model, CF, Clustering, Classification etc.------prevail Architecture, Procedure,-------informal method, associating with corporations and application

9. 从 SIGIR 中的 session 看 problem Data Close to DM Medium Text, Image, Multimedia Inherence Data Structure is vital. Other deployment, linguistic etc. What should we model and research? Probability Model CF Clustering Classification Text Mining, Content Analysis Social Media Text Summarization Sentiment Analysis Ranking Query Index Retrieval Model Image Search Vertical & Entity Search Interested in by companies

12. 目录 IR 领域的思考 1 IR 领域中知名学者与研究机构 2 会议本身的体验 3 由 SIGIR 想到的其他会议 4

13. 本次会议中的知名华人学者 ( 部分 ) Rong Jin MSU Tutorials invited speaker Statistical learning etc. Luo Si Purdue Univ Tutorials invited speaker Intelligent tutoring, text mining for life science etc. Chengxiang Zhai UIUC Keynote invited speaker Text Mining, Machine Learning etc. Tie-Yan Liu MSRA Session Chair & Workshop chair Learning to rank, Large-scale graph learning etc.

14. 本次会议中的知名国外学者 ( 部分 ) W.Bruce Croft UMA Program Co-chair Session chair Workshop chair Salton Award Stephen Robertson MS and London City Univ Salton Award Susan Dumais MS Outstanding paper award chair Salton Award Paul B. Kantor Rutgers University Tutorial invited speaker Distinguished professor of Information Science (Wikipedia)

16. 目录 IR 领域的思考 1 IR 领域中知名学者与研究机构 2 会议本身的体验 3 由 SIGIR 想到的其他会议 4

20. 目录 IR 领域的思考 1 IR 领域中知名学者与研究机构 2 会议本身的体验 3 由 SIGIR 想到的其他会议 4