Zeinab Abbassi












       





 

I am a PhD student at the Department of Computer Science, Columbia University. My advisor is Vishal Misra. I am interested in problems related to social networks/media and (social) recommender systems.


I received my M.Sc. from the Department of Computer Science, University of British Columbia, Vancouver, and prior to that my B.Sc. in Computer Engineering from Sharif University of Technology, Tehran, Iran.


Welcome to my homepage!

PUBLICATIONS

  1. Bullet Z. Abbassi, N. Haghpanah, V. Mirrokni

    "Exchange Market Mechanisms without Money"

     WINE'15, Amsterdam.


  1. Bullet Z. Abbassi, S. Assadi, M. Tahmasbi

    "Predicting Ratings in Online Social Networks: Friends or the Crowd?"

     WIN'15, New York, NY.


  1. Bullet Z. Abbassi, A. Bhaskara, V. Misra

    "Optimizing Display Advertising in Online Social Networks"

     WWW'15, Florence, Italy.


  1. Bullet Z. Abbassi, V. Mirrokni, M. Thakur

    "Diversity Maximization under Matroid Constraints”

     ACM KDD'13, Chicago, IL.


  1. Bullet Z. Abbassi, N. Hegde, L. Massoulie

     “Distributed Content Curation on the Web”

     NetEcon’13, Pittsburgh, PA.


  1. Bullet Z. Abbassi, L. Lakshmananan, M. Xie

     “Fair Recommendtions for Online Barter Exchange Networks”

     WebDB'13, New York, NY.


  1. Bullet Z. Abbassi, C. Aperjis, B. Huberman

     “Swayed by friends or by the crowd .”

     SocialInfo’12, EPFL, Lausanne.


  1. Bullet Z. Abbassi, V. Misra

     “Multi-level Revenue Sharing for Viral Marketing.”

      NetEcon’11, San Jose, CA.


  1. BulletZ. Abbassi, H. Heidari

     “Toward Optimal Vaccination Strategies for Probabilistic Models.”

     Poster,WWW'11, Hyderabad, India.


  1. Bullet Z. Abbassi, S. Amer-Yahia, L. Lakshmanan, C. Yu, S. Vassilvitskii

     “Getting Recommender Systems to Think Outside the Box.”

     3rd ACM conference on Recommender Systems (RecSys), 2009. New York.


  1. Bullet Z. Abbassi, L. Lakshmanan

     “On Efficient Generation of Recommendations for Online Exchange Markets.”

     25th International Conference on Data Engineering (ICDE) 2009, Shanghai, China.

     Poster version: WWW'08, Beijing, China.


  1. Bullet Z. Abbassi, V.S. Mirrokni

     “A Recommender System Based on Random Walks and Spectral Methods.”

     WebKDD/SNAKDD workshop in conjunction with KDD'07, 2007, San Jose, CA.

Contact Information


firstname@cs.columbia.edu



office:

504 CS Building,

Columbia University,

New York, NY 10027