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Collaborators (co-authors)

2020

  1. A Flexible Framework for Evaluating User and Item Fairness in Recommender Systems Yashar Deldjoo, Vito Walter Anelli, Hamed Zamani, Alejandro Bellogin, and Tommaso Di Noia User Modeling and User-Adapted Interaction, 2020 (UMUAI)
  2. Generating Clarifying Questions for Information Retrieval Hamed Zamani, Susan Dumais, Nick Craswell, Paul Bennett, and Gord Lueck In Proceedings of the 29th International Conference on World Wide Web, 2020 (WWW ’20) [Preprint]
  3. Learning a Joint Search and Recommendation Model from User-Item Interactions Hamed Zamani, and W. Bruce Croft In Proceedings of the 13th ACM International Conference on Web Search and Data Mining, 2020 (WSDM ’20) [Preprint] [Data]
  4. Analyzing and Learning from User Interactions for Search Clarification Hamed Zamani, Bhaskar Mitra, Everest Chen, Gord Lueck, Fernando Diaz, Paul Bennett, Nick Craswell, and Susan Dumais In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2020 (SIGIR ’20) [Preprint]
  5. Guided Transformer: Leveraging Multiple External Sources for Representation Learning in Conversational Search Helia Hashemi, Hamed Zamani, and W. Bruce Croft In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2020 (SIGIR ’20) [Preprint]
  6. A Reinforcement Learning Framework for Relevance Feedback Ali Montazeralghaem, Hamed Zamani, and James Allan In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2020 (SIGIR ’20)
  7. Macaw: An Extensible Conversational Information Seeking Platform Hamed Zamani, and Nick Craswell In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2020 (SIGIR ’20) [Preprint] [Code]
  8. Local Self-Attention over Long Text for Efficient Document Retrieval Sebastian Hofstätter, Hamed Zamani, Bhaskar Mitra, Nick Craswell, and Allan Hanbury In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2020 (SIGIR ’20) [Preprint]
  9. Recipe Retrieval with Visual Query of Ingredients Yen-Chieh Lien, Hamed Zamani, and W. Bruce Croft In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2020 (SIGIR ’20)
  10. MIMICS: A Large-Scale Data Collection for Search Clarification Hamed Zamani, Gord Lueck, Everest Chen, Rodolfo Quispe, Flint Luu, and Nick Craswell In Proceedings of the 29th ACM International on Conference on Information and Knowledge Management, 2020 (CIKM ’20) [Preprint] [Data]
  11. ANTIQUE: A Non-Factoid Question Answering Benchmark Helia Hashemi, Mohammad Aliannejadi, Hamed Zamani, and W. Bruce Croft In Proceedings of the 42nd European Conference on Information Retrieval, 2020 (ECIR ’20) [Preprint] [Data]
  12. Common Conversational Community Prototype: Scholarly Conversational Assistant Krisztian Balog, Lucie Flekova, Matthias Hagen, Rosie Jones, Martin Potthast, Filip Radlinski, Mark Sanderson, Svitlana Vakulenko, and Hamed Zamani arxiv, 2020 (preprint) [Preprint]

2019

  1. Neural Models for Information Retrieval without Labaled Data Hamed Zamani University of Massachusetts Amherst, 2019 (Ph.D. Dissertation) [Preprint]
  2. A Deep Look into Neural Ranking Models for Information Retrieval Jiafeng Guo, Yixing Fan, Liang Pang, Liu Yang, Qingyao Ai, Hamed Zamani, Chen Wu, W. Bruce Croft, and Xueqi Cheng Information Processing & Management, 2019 (IP&M) [Preprint]
  3. An Analysis of Approaches Taken in the ACM RecSys Challenge 2018 for Automatic Music Playlist Continuation Hamed Zamani, Markus Schedl, Paul Lamere, and Ching-Wei Chen ACM Transactions on Intelligent Systems and Technology, 2019 (TIST) [Preprint]
  4. Asking Clarifying Questions in Open-Domain Information Seeking Conversations Mohammad Aliannejadi, Hamed Zamani, Fabio Crestani, and W. Bruce Croft In Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019 (SIGIR ’19) [Preprint] [Data]
  5. Analyzing and Predicting News Popularity in an Instant Messaging Service Mohammad Naseri, and Hamed Zamani In Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019 (SIGIR ’19) [Preprint] [Data]
  6. Performance Prediction for Non-Factoid Question Answering Helia Hashemi, Hamed Zamani, and W. Bruce Croft In Proceedings of the 2019 ACM International Conference on the Theory of Information Retrieval, 2019 (ICTIR ’19) [Preprint] [Best Short Paper Honorable Mention]
  7. Multi-Step Entity-Centric Information Retrieval for Multi-Hop Question Answering Rajarshi Das, Ameya Godbole, Dilip Kavarthapu, Zhiyu Gong, Abhishek Singhal, Mo Yu, Xiaoxiao Guo, Tian Gao, Hamed Zamani, Manzil Zaheer, and Andrew McCallum In Proceedings of the EMNLP 2019 Workshop on Machine Reading for Question Answering, 2019 (MRQA @ EMNLP ’19) [Best Paper Award]
  8. Recommender Systems Fairness Evaluation via Generalized Cross Entropy Yashar Deldjoo, Vito Walter Anelli, Hamed Zamani, Alejandro Bellogin, and Tommaso Di Noia In Proceedings of the 2019 ACM RecSys Workshop on Recommendation in Multistakeholder Environments, 2019 (RMSE @ RecSys ’19)
  9. Investigating the Successes and Failures of BERT for Passage Re-Ranking Harshith Padigela, Hamed Zamani, and W. Bruce Croft arxiv, 2019 (preprint)

2018

  1. SIGIR Workshop on Learning from Limited or Noisy Data for Information Retrieval (LND4IR) Hamed Zamani, Mostafa Dehghani, Fernando Diaz, Hang Li, and Nick Craswell In Proceedings of the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval, 2018 (SIGIR ’18)
  2. RecSys Challenge 2018: Automatic Music Playlist Continuation Ching-Wei Chen, Paul Lamere, Markus Schedl, and Hamed Zamani In Proceedings of the 12th ACM Conference on Recommender Systems, 2018 (RecSys ’18)
  3. A Language Model-based Framework for Multi-publisher Content-based Recommender Systems Hamed Zamani, and Azadeh Shakery Information Retrieval Journal, 2018 (IRJ)
  4. PERSON: Personalized Information Retrieval Evaluation Based on Citation Networks Shayan A. Tabrizi, Azadeh Shakery, Hamed Zamani, and Mohammad Ali Tavallaei Information Processing & Management, 2018 (IP&M) [Preprint]
  5. Current Challenges and Visions in Music Recommender Systems Research Markus Schedl, Hamed Zamani, Ching-Wei Chen, Yashar Deldjoo, and Mehdi Elahi International Journal of Multimedia Information Retrieval, 2018 (IJMIR) [Preprint]
  6. Neural Ranking Models with Multiple Document Fields Hamed Zamani, Bhaskar Mitra, Xia Song, Nick Craswell, and Saurabh Tiwary In Proceedings of the 11th ACM International Conference on Web Search and Data Mining, 2018 (WSDM ’18) [Preprint]
  7. Neural Query Performance Prediction using Weak Supervision from Multiple Signals Hamed Zamani, W. Bruce Croft, and J. Shane Culpepper In Proceedings of the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval, 2018 (SIGIR ’18) [Preprint]
  8. Target Apps Selection: Towards a Unified Search Framework for Mobile Devices Mohammad Aliannejadi, Hamed Zamani, Fabio Crestani, and W. Bruce Croft In Proceedings of the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval, 2018 (SIGIR ’18) [Preprint] [Data]
  9. Universal Approximation Functions for Fast Learning to Rank Daniel Cohen, John Foley, Hamed Zamani, James Allan, and W. Bruce Croft In Proceedings of the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval, 2018 (SIGIR ’18) [Preprint]
  10. Citation Worthiness of Sentences in Scientific Reports Hamed Bonab, Hamed Zamani, Erik Learned-Miller, and James Allan In Proceedings of the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval, 2018 (SIGIR ’18) [Preprint] [Data]
  11. Theoretical Analysis of Interdependent Constraints in Pseudo-Relevance Feedback Ali Montazeralghaem, Hamed Zamani, and Azadeh Shakery In Proceedings of the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval, 2018 (SIGIR ’18) [Preprint]
  12. From Neural Re-Ranking to Neural Ranking: Learning a Sparse Representation for Inverted Indexing Hamed Zamani, Mostafa Dehghani, W. Bruce Croft, Erik Learned-Miller, and Jaap Kamps In Proceedings of the 27th ACM International on Conference on Information and Knowledge Management, 2018 (CIKM ’18) [Preprint] [Code]
  13. In Situ and Context-Aware Target Apps Selection for Unified Mobile Search Mohammad Aliannejadi, Hamed Zamani, Fabio Crestani, and W. Bruce Croft In Proceedings of the 27th ACM International on Conference on Information and Knowledge Management, 2018 (CIKM ’18) [Preprint] [Data]
  14. On the Theory of Weak Supervision for Information Retrieval Hamed Zamani, and W. Bruce Croft In Proceedings of the 2018 ACM International Conference on the Theory of Information Retrieval, 2018 (ICTIR ’18) [Preprint]
  15. Joint Modeling and Optimization of Search and Recommendation Hamed Zamani, and W. Bruce Croft In Proceedings of the First International Conference on Design of Experimental Search and Information Retrieval Systems, 2018 (DESIRES ’18)
  16. Towards a Unified Supervised Approach for Ranking Triples of Type-like Relations Mahsa S. Shahshahani, Faegheh Hasibi, Hamed Zamani, and Azadeh Shakery In Proceedings of the 40th European Conference on Information Retrieval, 2018 (ECIR ’18) [Preprint]
  17. Towards Theoretical Understanding of Weak Supervision for Information Retrieval Hamed Zamani, and W. Bruce Croft In Proceedings of the SIGIR 2018 Workshop on Learning From Limited or Noisy Data for Information Retrieval, 2018 (LND4IR ’18)

2017

  1. An Expectation-Maximization Algorithm for Query Translation Based on Pseudo-Relevant Documents Javid Dadashkarimi, Azadeh Shakery, Heshaam Faili, and Hamed Zamani Information Processing & Management, 2017 (IP&M) [Preprint]
  2. Situational Context for Ranking in Personal Search Hamed Zamani, Michael Bendersky, Xuanhui Wang, and Mingyang Zhang In Proceedings of the 26th International Conference on World Wide Web, 2017 (WWW ’17) [Preprint]
  3. Relevance-based Word Embedding Hamed Zamani, and W. Bruce Croft In Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017 (SIGIR ’17) [Preprint]
  4. Neural Ranking Models with Weak Supervision Mostafa Dehghani, Hamed Zamani, Aliaksei Severyn, Jaap Kamps, and W. Bruce Croft In Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017 (SIGIR ’17) [Preprint]
  5. Term Proximity Constraints for Pseudo-Relevance Feedback Ali Montazeralghaem, Hamed Zamani, and Azadeh Shakery In Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017 (SIGIR ’17) [Preprint]
  6. Improving Retrieval Performance for Verbose Queries via Axiomatic Analysis of Term Discrimination Heuristic Mozhdeh Ariannezhad, Ali Montazeralghaem, Hamed Zamani, and Azadeh Shakery In Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017 (SIGIR ’17) [Preprint]
  7. Word Embedding Causes Topic Shifting; Exploit Global Context! Navid Rekabsaz, Mihai Lupu, Allan Hanbury, and Hamed Zamani In Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017 (SIGIR ’17) [Preprint]
  8. A Semantic-Aware Profile Updating Model for Text Recommendation Hossein Rahmatizadeh Zagheli, Hamed Zamani, and Azadeh Shakery In Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017 (RecSys ’17) [Preprint]
  9. Iterative Estimation of Document Relevance Score for Pseudo-Relevance Feedback Mozhdeh Ariannezhad, Ali Montazeralghaem, Hamed Zamani, and Azadeh Shakery In Proceedings of the 39th European Conference on Information Retrieval, 2017 (ECIR ’17) [Preprint]
  10. Neural Matching Models for Question Retrieval and Next Question Prediction in Conversation Liu Yang, Hamed Zamani, Yongfeng Zhang, Jiafeng Guo, and W. Bruce Croft In Proceedings of the 2017 Workshop on Neural Information Retrieval, 2017 ([email protected] ’17)
  11. UMass at TREC 2017 Common Core Track Qingyao Ai, Hamed Zamani, Stephen Harding, Shahrzad Naseri, James Allan, and W. Bruce Croft In Proceedings of the 2017 Text REtrieval Conference, 2017 (TREC ’17)

2016

  1. Sentence Alignment Using Local and Global Information Hamed Zamani, Heshaam Faili, and Azadeh Shakery Computer Speech & Language, 2016 (CSL)
  2. Pseudo-Relevance Feedback Based on Matrix Factorization Hamed Zamani, Javid Dadashkarimi, Azadeh Shakery, and W. Bruce Croft In Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, 2016 (CIKM ’16) [Preprint]
  3. Estimating Embedding Vectors for Queries Hamed Zamani, and W. Bruce Croft In Proceedings of the 2016 ACM International Conference on the Theory of Information Retrieval, 2016 (ICTIR ’16) [Preprint]
  4. Embedding-based Query Language Models Hamed Zamani, and W. Bruce Croft In Proceedings of the 2016 ACM International Conference on the Theory of Information Retrieval, 2016 (ICTIR ’16) [Preprint]
  5. Axiomatic Analysis for Improving the Log-Logistic Feedback Model Ali Montazeralghaem, Hamed Zamani, and Azadeh Shakery In Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2016 (SIGIR ’16) [Preprint]
  6. Cross Domain User Engagement Evaluation Ali Montazeralghaem, Hamed Zamani, and Azadeh Shakery In Proceedings of the 38th European Conference on Information Retrieval, 2016 (ECIR ’16) [Preprint]

2015

  1. Recommender Systems in Multi-Publisher Environments Hamed Zamani University of Tehran, 2015 (M.Sc. Thesis)
  2. Adaptive User Engagement Evaluation via Multi-task Learning Hamed Zamani, Pooya Moradi, and Azadeh Shakery In Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015 (SIGIR ’15)
  3. Multitask Learning for Adaptive Quality Estimation of Automatically Transcribed Utterances José G. Souza, Hamed Zamani, Matteo Negri, Marco Turchi, and Falavigna Daniele In Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2015 (NAACL ’15)
  4. Reference-free and Confidence-independent Binary Quality Estimation for Automatic Speech Recognition Hamed Zamani, José G. Souza, Matteo Negri, Marco Turchi, and Falavigna Daniele In Proceedings of the Second Italian Conference on Computational Linguistic, 2015 (CLiC-It ’15)

2014

  1. Regression and Learning to Rank Aggregation for User Engagement Evaluation Hamed Zamani, Azadeh Shakery, and Pooya Moradi In Proceedings of the 2014 Recommender Systems Challenge, 2014 (RecSysChallenge ’14)
  2. Authorship Identification Using Dynamic Selection of Features from Probabilistic Feature Set Hamed Zamani, Hossein Nasr Esfahani, Pariya Babaie, Samira Abnar, Mostafa Dehghani, and Azadeh Shakery In Proceedings of Information Access Evaluation. Multilinguality, Multimodality, and Interaction - 5th International Conference of the CLEF Initiative, 2014 (CLEF ’14)
  3. Expanded N-Grams for Semantic Text Alignment Samira Abnar, Mostafa Dehghani, Hamed Zamani, and Azadeh Shakery In Proceedings of the CLEF 2014 Workshop on Uncovering Plagiarism, Authorship, and Social Software Misuse, 2014 (PAN ’14)


Collaborators (co-authors):

I have been honored to work with several great researchers around the world:

  • Samira Abnar - U. of Amsterdam, The Netherlands
  • Qingyao Ai - University of Utah, USA
  • Mohammad Aliannejadi - U. of Amsterdam, The Netherlands
  • James Allan - UMass Amherst, USA
  • Vito Walter Anelli - Polytechnic U. of Bari, Italy
  • Mozhdeh Ariannezhad - U. of Tehran, Iran
  • Pariya Babaie - U. of Minnesota, USA
  • Krisztian Balog - U. of Stavanger, Norway
  • Alejandro Bellogin - Universidad Autonoma de Madrid, Spain
  • Michael Bendersky - Google Research, USA
  • Paul N. Bennett - Microsoft Research, USA
  • Hamed Bonab - UMass Amherst, USA
  • Jose G. C. de Souza - eBay Inc., Germany
  • Ching-Wei Chen - Spotify, USA
  • Everest Chen - Facebook, USA
  • Xueqi Cheng - Chinese Academy of Sciences, China
  • Daniel Cohen - UMass Amherst, USA
  • Nick Craswell - Microsoft, USA
  • Fabio Crestani - USI, Switzerland
  • W. Bruce Croft - UMass Amherst, USA
  • J. Shane Culpepper - RMIT University, Australia
  • Javid Dadashkarimi - Yale University, USA
  • Rajarshi Das - UMass Amherst, USA
  • Mostafa Dehghani - U. of Amsterdam, The Netherlands
  • Yashar Deldjoo - Politecnico de Milano, Italy
  • Tommaso Di Noia - Polytechnic University of Bari, Italy
  • Fernando Diaz - Microsoft Research, Canada
  • Susan T. Dumais - Microsoft Research, USA
  • Mehdi Elahi - U. of Bozen-Bolzano, Italy
  • Heshaam Faili - U. of Tehran, Iran
  • Daniele Falavigna - FBK, Italy
  • Yixin Fan - Chinese Academy of Sciences, China
  • Lucie Flekova - Technische Universität Darmstadt, Germany
  • John Foley - Smith College, USA
  • TIan Gao - IBM Research, USA
  • Ameya Godbole - UMass Amherst, USA
  • Zhiyu Gong - UMass Amherst
  • Jiafeng Guo - Chinese Academy of Sciences, China
  • Xiaoxiao Guo - IBM Research, USA
  • Matthias Hagen - Martin-Luther-Universität Halle-Wittenberg, Germany
  • Allan Hanbury - TU Wien, Austria
  • Stephen Harding - UMass Amherst, USA
  • Helia Hashemi - UMass Amherst, USA
  • Faegheh Hasibi - Radboud University, The Netherlands
  • Sebastian Hofstätter - TU Wien, Austria
  • Rosie Jones - Spotify, USA
  • Jaap Kamps - U. of Amsterdam, The Netherlands
  • Dilip Kavarthapu - UMass Amherst, USA
  • Paul Lamere - Spotify, USA
  • Erik Learned-Miller - UMass Amherst, USA
  • Hang Li - Toutiao AI Lab, China
  • Yen-Chieh Lien - UMass Amherst, USA
  • Gord Lueck - Microsoft, USA
  • Mihai Lupu - TU Wien, Austria
  • Flint Luu - Microsoft, USA
  • Andrew McCallum - UMass Amherst
  • Bhaskar Mitra - Microsoft, Canada
  • Ali Montazeralghaem - UMass Amherst, USA
  • Pooya Moradi - U. of Tehran, Iran
  • Mohammad Naseri - Shahid Beheshti University, Iran
  • Shahrzad Naseri - UMass Amherst, USA
  • Hossein Nasr Esfahani - U. of Tehran, Iran
  • Matteo Negri - FBK, Italy
  • Liang Pang - Chinese Academy of Sciences, China
  • Harshith Padigela - UMass Amherst, MA
  • Martin Potthast - Leipzig University, Germany
  • Rodolfo Quispe - Microsoft, USA
  • Filip Radlinski - Google, UK
  • Hossein Rahmatizadeh - U. of Tehran, Iran
  • Navid Rekabsaz - JKU Linz, Austria
  • Mark Sanderson - RMIT, Australia
  • Aliaksei Severyn - Google Research, Switzerland
  • Markus Schedl - JKU Linz, Austria
  • Mahsa S. Shahshahani - U. of Amsterdam, The Netherlands
  • Azadeh Shakery - U. of Tehran, Iran
  • Abhishek Singhal - UMass Amherst, USA
  • Xia Song - Microsoft, USA
  • Saurabh Tiwary - Microsoft, USA
  • Marco Turchi - FBK, Italy
  • Svitlana Vakulenko - U. of Amsterdam, The Netherlands
  • Xuanhui Wang - Google Research, USA
  • Chen Wu - Chinese Academy of Sciences, China
  • Liu Yang - Google Research, USA
  • Manzil Zaheer - Google Research, USA
  • Mo Yu - IBM Research, USA
  • Mingyang Zhang - Google Research, USA
  • Yongfeng Zhang - Rutgers University, USA