Cross Domain User Engagement Evaluation. - Ali Montazeralghaem; Hamed Zamani; Azadeh Shakery (ECIR, 2016)

Axiomatic Analysis for Improving the Log-Logistic Feedback Model. - Ali Montazeralghaem; Hamed Zamani; Azadeh Shakery (SIGIR, 2016)

Iterative Estimation of Document Relevance Score for Pseudo-Relevance Feedback. - Mozhdeh Ariannezhad; Ali Montazeralghaem; Hamed Zamani; Azadeh Shakery (ECIR, 2017)

Improving Retrieval Performance for Verbose Queries via Axiomatic Analysis of Term Discrimination Heuristic. - Mozhdeh Ariannezhad; Ali Montazeralghaem; Hamed Zamani; Azadeh Shakery (SIGIR, 2017)

Term Proximity Constraints for Pseudo-Relevance Feedback. - Ali Montazeralghaem; Hamed Zamani; Azadeh Shakery (SIGIR, 2017)

Theoretical Analysis of Interdependent Constraints in Pseudo-Relevance Feedback. - Ali Montazeralghaem; Hamed Zamani; Azadeh Shakery (SIGIR, 2018)

An Axiomatic Study of Query Terms Order in Ad-Hoc Retrieval. - Ayyoob Imani; Amir Vakili; Ali Montazer; Azadeh Shakery (ECIR (2), 2019)

Deep Neural Networks for Query Expansion Using Word Embeddings. - Ayyoob Imani; Amir Vakili; Ali Montazer; Azadeh Shakery (ECIR (2), 2019)

Term Discrimination Value for Cross-Language Information Retrieval. - Ali Montazeralghaem; Razieh Rahimi; James Allan (ICTIR, 2019)

Listwise Neural Ranking Models. - Razieh Rahimi; Ali Montazeralghaem; James Allan (ICTIR, 2019)

Relevance Ranking Based on Query-Aware Context Analysis. - Ali Montazeralghaem; Razieh Rahimi; James Allan (ECIR (1), 2020)

Search Result Diversification with Guarantee of Topic Proportionality. - Sheikh Muhammad Sarwar; Raghavendra Addanki; Ali Montazeralghaem; Soumyabrata Pal; James Allan (ICTIR, 2020)

A Reinforcement Learning Framework for Relevance Feedback. - Ali Montazeralghaem; Hamed Zamani; James Allan (SIGIR, 2020)

An axiomatic approach to corpus-based cross-language information retrieval. - Razieh Rahimi; Ali Montazeralghaem; Azadeh Shakery (Inf. Retr. J., 2020)

Passage Similarity and Diversification in Non-factoid Question Answering. - Lakshmi Vikraman; Ali Montazeralghaem; Helia Hashemi; W. Bruce Croft; James Allan (ICTIR, 2021)

Large-scale Interactive Conversational Recommendation System using Actor-Critic Framework. - Ali Montazeralghaem; James Allan; Philip S. Thomas (RecSys, 2021)

Extracting Relevant Information from User's Utterances in Conversational Search and Recommendation. - Ali Montazeralghaem; James Allan (KDD, 2022)

Learning Relevant Questions for Conversational Product Search using Deep Reinforcement Learning. - Ali Montazeralghaem; James Allan (WSDM, 2022)

Algorithmic Vibe in Information Retrieval. - Ali Montazeralghaem; Nick Craswell; Ryen W. White; Ahmed Hassan Awadallah; Byungki Byun (WWW, 2023)

Evaluating the Robustness of Conversational Recommender Systems by Adversarial Examples. - Ali Montazeralghaem; James Allan (CoRR, 2023)

Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies. - Chirag Shah 001; Ryen W. White; Reid Andersen; Georg Buscher; Scott Counts; Sarkar Snigdha Sarathi Das; Ali Montazer; Sathish Manivannan; Jennifer Neville; Xiaochuan Ni 001; Nagu Rangan; Tara Safavi; et al. (CoRR, 2023)

Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies. - Chirag Shah 001; Ryen White; Reid Andersen; Georg Buscher; Scott Counts; Sarkar Snigdha Sarathi Das; Ali Montazer; Sathish Manivannan; Jennifer Neville; Nagu Rangan; Tara Safavi; Siddharth Suri; et al. (ACM Trans. Web, 2025)