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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.
A Comparative Analysis of the Efficiency of Change Metrics and Static Code Attributes for Defect Prediction Raimund Moser, Witold Pedrycz, Giancarlo Succi.
User Modeling and Recommender Systems: evaluation and interfaces Adolfo Ruiz Calleja 18/10/2014.
Improving Web Search Ranking by Incorporating User Behavior Information Eugene Agichtein Eric Brill Susan Dumais Microsoft Research.
A Classification-based Approach to Question Answering in Discussion Boards Liangjie Hong, Brian D. Davison Lehigh University (SIGIR ’ 09) Speaker: Cho,
Performance of Recommender Algorithms on Top-N Recommendation Tasks RecSys 2010 Intelligent Database Systems Lab. School of Computer Science & Engineering.
CS532 TERM PAPER MEASUREMENT IN SOFTWARE ENGINEERING NAVEEN KUMAR SOMA.
Improved Video Categorization from Text Metadata and User Comments ACM SIGIR 2011:Research and development in Information Retrieval - Katja Filippova -
Fingerprinting the Datacenter Marcel Flores Shih-Chi Chen.
The “Assembly Line” for the Information Age Human-Computer Cooperation for Large-Scale Product Classification Jianfu Chen Computer Science Department,
Source-Selection-Free Transfer Learning Evan Xiang, Sinno Pan, Weike Pan, Jian Su, Qiang Yang HKUST - IJCAI
Identifying “Best Bet” Web Search Results by Mining Past User Behavior Author: Eugene Agichtein, Zijian Zheng (Microsoft Research) Source: KDD2006 Reporter:
Ensuring quality in crowdsourced search relevance evaluation: The effects of training question distribution John Le - CrowdFlower Andy Edmonds - eBay Vaughn.
A Classification-based Approach to Question Answering in Discussion Boards Liangjie Hong and Brian D. Davison Computer Science and Engineering Lehigh University.
Finding high-Quality contents in Social media BY : APARNA TODWAL GUIDED BY : PROF. M. WANJARI.
Question Answering over Implicitly Structured Web Content Eugene Agichtein*Emory University Chris BurgesMicrosoft Research Eric BrillMicrosoft Research.
1 Mining User Behavior Mining User Behavior Eugene Agichtein Mathematics & Computer Science Emory University.
Retrieval Evaluation. Introduction Evaluation of implementations in computer science often is in terms of time and space complexity. With large document.
Retroactive Answering of Search Queries Beverly Yang Glen Jeh.
Improving Classification Accuracy Using Automatically Extracted Training Data Ariel Fuxman A. Kannan, A. Goldberg, R. Agrawal, P. Tsaparas, J. Shafer Search.
Performance Measures. Why to Conduct Performance Evaluation? 2 n Evaluation is the key to building effective & efficient IR (information retrieval) systems.
1 Discovering Authorities in Question Answer Communities by Using Link Analysis Pawel Jurczyk, Eugene Agichtein (CIKM 2007)
Finding the Right Facts in the Crowd: Factoid Question Answering over Social Media J. Bian, Y. Liu, E. Agichtein, and H. Zha ACM WWW, 2008.
Retrieval Evaluation: Precision and Recall. Introduction Evaluation of implementations in computer science often is in terms of time and space complexity.
Trust Relationship Prediction Using Online Product Review Data Nan Ma 1, Ee-Peng Lim 2, Viet-An Nguyen 2, Aixin Sun 1, Haifeng Liu 3 1 Nanyang Technological.
Psychological Advertising: Exploring User Psychology for Click Prediction in Sponsored Search Date: 2014/03/25 Author: Taifeng Wang, Jiang Bian, Shusen.
Evaluation of Recommender Systems Joonseok Lee Georgia Institute of Technology 2011/04/12 1.
Diversifying Search Results Rakesh AgrawalSreenivas GollapudiSearch LabsMicrosoft Research Alan HalversonSamuel.
A Comparison of Implicit and Explicit Links for Web Page Classification Dou Shen 1 Jian-Tao Sun 2 Qiang Yang 1 Zheng Chen 2 1 Department of Computer Science.
Graph Data Management Lab School of Computer Science , Bristol, UK.
UA in ImageCLEF 2005 Maximiliano Saiz Noeda. Index System Indexing Retrieval Image category classification Building Use Experiments and results.
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