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SIGIR 2008 Yandong Liu, Jiang Bian, Eugene Agichtein from Emory & Georgia Tech University
Features Question Question-Answer Relationship Asker User History Answerer User History Category Features Textual Features
Formally a two-class classification problem but primarily focus on the satisfied class.
Amazon’s paid rater service Mechanical Turk
Setting Methods Human Heuristic Baseline Evaluation Metrics Precision Recall F1 Accuracy ASP ASP_SVM ASP_RandomForest ASP_C4.5 ASP_Boosting ASP_NaiveBayes
Online vs. Offline
Conclusion First to quantify and predict asker satisfaction Shown importance of asker history is this Our system outperform human assessors
Modeling User Interactions in Web Search and Social Media Eugene Agichtein Intelligent Information Access Lab Emory University.
1 Natural Language Emory Eugene Agichtein Math & Computer Science and CCI Andrew Post CCI and Biomedical Engineering (?)
Modeling Information Seeking Behavior in Social Media Eugene Agichtein Emory University.
Modeling Information Seeking Behavior in Social Media Eugene Agichtein Intelligent Information Access Lab (IRLab)
Modeling User Interactions in Social Media Eugene Agichtein Emory University.
CoCQA : Co-Training Over Questions and Answers with an Application to Predicting Question Subjectivity Orientation Baoli Li, Yandong Liu, and Eugene Agichtein.
Category Category Category Category Category
Quality-aware Collaborative Question Answering: Methods and Evaluation Maggy Anastasia Suryanto, Ee-Peng Lim Singapore Management University Aixin Sun.
Finding High-Quality Content in Social Media chenwq 2011/11/26.
LOGO Finding High-Quality Content in Social Media Eugene Agichtein, Carlos Castillo, Debora Donato, Aristides Gionis and Gilad Mishne (WSDM 2008) Advisor.
Bring Order to Your Photos: Event-Driven Classification of Flickr Images Based on Social Knowledge Date: 2011/11/21 Source: Claudiu S. Firan (CIKM’10)
IR, IE and QA over Social Media Social media (blogs, community QA, news aggregators) Complementary to “traditional” news sources (Rathergate) Grow.
11 A Classification-based Approach to Question Routing in Community Question Answering Tom Chao Zhou 1, Michael R. Lyu 1, Irwin King 1,2 1 The Chinese.
Date: 2013/9/25 Author: Mikhail Ageev, Dmitry Lagun, Eugene Agichtein Source: SIGIR’13 Advisor: Jia-ling Koh Speaker: Chen-Yu Huang Improving Search Result.
Liangjie Hong and Brian D. Davison Department of Computer Science and Engineering Lehigh University SIGIR 2009.
1 Learning User Interaction Models for Predicting Web Search Result Preferences Eugene Agichtein Eric Brill Susan Dumais Robert Ragno Microsoft Research.
To Trust of Not To Trust? Predicting Online Trusts using Trust Antecedent Framework Viet-An Nguyen 1, Ee-Peng Lim 1, Aixin Sun 2, Jing Jiang 1, Hwee-Hoon.
Intelligent Database Systems Lab N.Y.U.S.T. I. M. BNS Feature Scaling: An Improved Representation over TF·IDF for SVM Text Classification Presenter : Lin,
Context-Aware Query Classification Huanhuan Cao, Derek Hao Hu, Dou Shen, Daxin Jiang, Jian-Tao Sun, Enhong Chen, Qiang Yang Microsoft Research Asia SIGIR.
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