かのid:y_yanbe氏もこう言っている．
ちょっと前ならHypertextかWWWかCIKMあたりで発表されてたであろう研究のうち、それなりの割合がWSDMに行ってそう。バックにGYM(Google, Yahoo!, Microsoft)がついてるようなもんだからそりゃ強いよなあ
2011-11-13 17:41:06 via web
どの学会も時間が経つに従って参加者の関心が分散し多様化していって、そこから特定の関心を持つ人たちがスピンアウトして、っていうのを繰り返していて、そういうライフサイクルの中でWSDMはいま一番面白いというか旬な時期なんだろうな
ざっと見た感じtwitter，もしくはそれに付随するマイクロブログの研究ネタが非常に多い．特にtwitterユーザ全体の傾向を分析した論文から，徐々に社会動向などのマクロな動向とtwitterのpostの関連性だったりを探る論文が増えているように思える．そういうのは少なめに選んだのが以下のリスト．IRというよりUser behavior多め，
特に気になったもの
- No Search Result Left Behind: Branching Behavior with Browser Tabs (Jeff Huang, Thomas Lin and Ryen White)
- Domain Bias in Web Search (Samuel Ieong, Nina Mishra, Eldar Sadikov and Li Zhang)
- Overlapping Clusters for Distributed Computation (Reid Andersen, David Gleich and Vahab Mirrokni)
- Incorporating Revisiting Behaviors into Click Models (Danqing Xu, Yiqun Liu, Min Zhang and Shaoping Ma)
- Understanding Click Noise: A Noise-aware Click Model for Web Search (Weizhu Chen and Qiang Yang)
- Answers, not Links -- Extracting Tips from Yahoo! Answers to Address How-To Web Queries (Ingmar Weber, Antti Ukkonen and Aris Gionis)
- The Life and Death of Online Groups: Predicting Group Growth and Longevity (Sanjay Kairam, Dan Wang and Jure Leskovec)
- Auralist: Introducing Serendipity into Music Recommendation (Yuan Cao Zhang, Diarmuid O Seaghdha, Daniele Quercia and Tamas Jambor)
Click Noise気になる．クリックログ系の論文はこれまで読んだ限りだと，超大量のクリックログを集めてノイズを押しつぶし，ある程度有用かつ頻度が高くないものを提示する研究がメインだったので，ではNoiseをどう考えたのか，という点が興味深い．
AuralistはLast.fmの人かと思ったがそうでもないようだし，これも気になる．
その他気になったもの
- Relational Click Prediction for Sponsored Search (Chenyan Xiong, Taifeng Wang, Wenkui Ding, Yidong Shen and Tieyan Liu)
- Effects of User Similarity in Social Media (Ashton Anderson, Dan Huttenlocher, Jon Kleinberg and Jure Leskovec)
- Finding Your Friends and Following Them to Where You Are (Adam Sadilek and Henry Kautz)
- Topical clustering of search results (Ugo Scaiella, Paolo Ferragina, Andrea Marino and Massimiliano Ciaramita)
- WebSets: Extracting Sets of Entities from the Web Using Unsupervised Information Extraction (Bhavana Dalvi, William Cohen and Jamie Callan)
- Finding Your Friends and Following Them to Where You Are (Adam Sadilek and Henry Kautz)
- Fast Top-k Retrieval for Model Based Recommendation (Deepak Agarwal and Maxim Gurevich)
- Beyond Ten Blue Links: Enabling User Click Modeling in Federated Web Search (Danqi Chen, Weizhu Chen, Haixun Wang, Zheng Chen and Qiang Yang)
- How User Behavior is Related to Social Affinity (Rina Panigrahy, Marc Najork and Yinglian Xie)
- Harmony and Dissonance: Organizing the People's Voices on Political Controversies (Rawia Awadallah, Maya Ramanath and Gerhard Weikum)
- Finding the Right Consumer: Optimizing for Conversion in Display Advertising Campaigns (Yandong Liu, Sandeep Pandey, Deepak Agarwal and Vanja Josifovski)
- Online Selection of Diverse Results (Debmalya Panigrahi, Atish Das Sarma, Gagan Aggarwal and Andrew Tomkins)
- I Loan Because...: Understanding Motivations for Pro-Social Lending (Yang Liu, Roy Chen, Yan Chen, Qiaozhu Mei and Suzy Salib)
- Comment Spam Detection by Sequence Mining (Ravi Kant, Srinivasan Sengamedu and Krishnan Kumar)
- Query Suggestion by Constructing Term-Transition Graphs (Yang Song, Dengyong Zhou and Li-Wei He)
- Personalized Click Model through Collaborative Filtering (Si Shen, Botao Hu, Weizhu Chen and Qiang Yang)
- Adding Semantics to Microblog Posts (Edgar Meij, Wouter Weerkamp and Maarten De Rijke)
- What's in a Hashtag? Content based Prediction of the Spread of Ideas in Microblogging Communities (Oren Tsur and Ari Rappoport)
- Fair and Balanced: Learning to present news stories (Amr Ahmed, Alex Smola, Choon Hui Teo and S. V. N. Vishwanathan)
- Tapping into Knowledge Base for Concept Feedback: Leveraging ConceptNet to Improve Search Results for Difficult Queries (Alexander Kotov and Chengxiang Zhai)
