dblp, Google Scholar

Collaborators (co-authors)

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]
  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) [Preprint]
  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. 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)
  2. 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)
  3. 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 globe:

  • W. Bruce Croft - UMass Amherst, USA (PhD Supervisor)
  • Azadeh Shakery - U. of Tehran, Iran (MSc Supervisor)
  • Samira Abnar - U. of Amsterdam, The Netherlands
  • Qingyao Ai - UMass Amherst, USA
  • Mohammad Aliannejadi - USI, Switzerland
  • James Allan - UMass Amherst, USA
  • Mozhdeh Ariannezhad - U. of Tehran, Iran
  • Pariya Babaie - U. of Minnesota, USA
  • Michael Bendersky - Google Research, USA
  • Hamed Bonab - UMass Amherst, USA
  • Jose G. C. de Souza - eBay Inc., Germany
  • Ching-Wei Chen - Spotify, USA
  • Daniel Cohen - UMass Amherst, USA
  • Nick Craswell - Microsoft, USA
  • Fabio Crestani - USI, Switzerland
  • J. Shane Culpepper - RMIT University, Australia
  • Javid Dadashkarimi - Yale University, USA
  • Mostafa Dehghani - U. of Amsterdam, The Netherlands
  • Yashar Deldjoo - Politecnico de Milano, Italy
  • Fernando Diaz - Microsoft Research, Canada
  • Mehdi Elahi - U. of Bozen-Bolzano, Italy
  • Heshaam Faili - U. of Tehran, Iran
  • Daniele Falavigna - FBK, Italy
  • John Foley - UMass Amherst, USA
  • Jiafeng Guo - Chinese Academy of Sciences, China
  • Allan Hanbury - TU Wien, Austria
  • Stephen Harding - UMass Amherst, USA
  • Faegheh Hasibi - NTNU, Norway
  • Jaap Kamps - U. of Amsterdam, The Netherlands
  • Paul Lamere - Spotify, USA
  • Erik Learned-Miller - UMass Amherst, USA
  • Hang Li - Toutiao AI Lab, China
  • Mihai Lupu - TU Wien, Austria
  • Bhaskar Mitra - Microsoft, UK
  • Ali Montazeralghaem - UMass Amherst, USA
  • Pooya Moradi - U. of Tehran, Iran
  • Shahrzad Naseri - UMass Amherst, USA
  • Hossein Nasr Esfahani - U. of Tehran, Iran
  • Matteo Negri - FBK, Italy
  • Hossein Rahmatizadeh - U. of Tehran, Iran
  • Navid Rekabsaz - TU Wien, Austria
  • Markus Schedl - JKU Linz, Austria
  • Aliaksei Severyn - Google Research, Switzerland
  • Mahsa S. Shahshahani - U. of Tehran, Iran
  • Xia Song - Microsoft, USA
  • Saurabh Tiwary - Microsoft, USA
  • Marco Turchi - FBK, Italy
  • Xuanhui Wang - Google Research, USA
  • Liu Yang - UMass Amherst, USA
  • Mingyang Zhang - Google Research, USA
  • Yongfeng Zhang - Rutgers University, USA