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I am an Applied Scientist at Amazon. I hold a Ph.D. in the Computer Science from the University of Illinois at Urbana-Champaign, where I was advised by Prof. ChengXiang Zhai. My research interests include information retrieval, text data mining, natural language processing, and machine learning.

Publications

A Study of Distributed Representations for Figures of Research Articles. Saar Kuzi and ChengXiang Zhai. In Proceedings of ECIR, 2021. pdf

FigExplorer: A System for Retrieval and Exploration of Figures from Collections of Research Articles. Saar Kuzi, ChengXiang Zhai, Yin Tian, and Haichuan Tang. In Proceedings of SIGIR, 2020. (Demo paper) pdf code demo talk

Analysis of Adaptive Training for Learning to Rank in Information Retrieval. Saar Kuzi, Sahiti Labhishetty, Shubhra Kanti Karmaker Santu, Prasad Pradip Joshi, and ChengXiang Zhai. In Proceedings of CIKM, 2019. (Short paper) pdf

Help Me Search: Leveraging User-System Collaboration for Query Construction to Improve Accuracy for Difficult Queries. Saar Kuzi, Abhishek Narwekar, Anusri Pampari, and ChengXiang Zhai. In Proceedings of SIGIR, 2019. (Short paper) pdf

Automatic Assessment of Complex Assignments using Topic Models. Saar Kuzi, William Cope, Duncan Ferguson, Chase Geigle, and ChengXiang Zhai. In Proceedings of ACM Learning at Scale, 2019. pdf

Enriching News Articles with Related Search Queries. David Carmel, Yaroslav Fyodorov, Saar Kuzi, Avihai Mejer, Fiana Raiber, and Elad Rainshmidt. In Proceedings of WWW, 2019.

Figure Retrieval from Collections of Research Articles. Saar Kuzi and ChengXiang Zhai. In Proceedings of ECIR, 2019. pdf

Query Expansion for Email Search. Saar Kuzi, David Carmel, Alex Libov, and Ariel Raviv. In Proceedings of SIGIR, 2017. (Short paper) pdf

Discretization-based and Look-ahead Algorithms for the Dubins Traveling Salesperson Problem. Izack Cohen, Chen Epstein, Pantelis Isaiah, Saar Kuzi, and Tal Shima. IEEE Transactions on Automation Science and Engineering, 2017. pdf

Query Anchoring Using Discriminative Query Models. Saar Kuzi, Anna Shtok, and Oren Kurland. In Proceedings of ICTIR, 2016. pdf

Query Expansion Using Word Embeddings. Saar Kuzi, Anna Shtok, and Oren Kurland. In Proceedings of CIKM, 2016. (Short paper) pdf

Pre-prints

Leveraging Semantic and Lexical Matching to Improve the Recall of Document Retrieval Systems: A Hybrid Approach. Saar Kuzi, Mingyang Zhang, Cheng Li, Michael Bendersky, Marc Najork. arXiv preprint arXiv:2010.01195 (2020). pdf

Dissertations

Ph.D. Thesis: Accelarating Scientific Research in the Digital Era: Intelligent Assessment and Retrieval of Research Content. pdf

M.Sc. Thesis: Discriminative Query Models. pdf

Resources

[demo] Figure Search Engine: a system for the searching exploration of research article figures.

[toolkit] FigExplorer toolkit: an open-source library for figure search and mining.

[dataset] Figures Dataset: a data set for evaluating figure retrieval systems.

[toolkit] Search Engine demo toolkit: an open-source library for building a web-application search engine with Lucene and Flask.

[dataset] ACL Anthology UIUC Corpus: a collection of 40,367 NLP papers with information such as paper text, tables, figures, and citations.