PhD and MSc Theses

PhD and MSc Theses, since 1988

Advisor PROF. Oren Kurland
Advisor's Email
No of theses 40
Department Data and Decision Sciences
Department Web Site
Student's Name Graduation Year Degree Abstracts Research Name
Sheetrit Eilon 2022 PhD Abstracts Using Sub Document Units for Document and Passage Retrieval
Goren Gregory 2020 PhD Abstracts Strategic Information Retrieval – The Mediator and Agent Perspectives
Raviv Hadas 2018 PhD Abstracts Entity-Based Retrieval
Raiber Fiana 2016 PhD Abstracts Query-Performance Prediction and Cluster Ranking: Two Sides of the Same Coin?
Shtok Anna 2015 PhD Abstracts New Approaches for Query-Performance Prediction
Krikon Eyal 2012 PhD Abstracts Using Document Passages for Information Retrieval
Markovskiy Egor 2024 MSc Abstracts Aspects of Cluster-Based Document Retrieval
Gurevich Tomer 2024 MSc Abstracts Converstional Retrieval
Tyomkin Liron 2023 MSc Condorcet-based Fusion
Kutsy Lital 2022 MSc Ranking Prediction of Best Seller Products
Vasilisky Ziv 2022 MSc Abstracts Studying Ranking-Incentivized Web Dynamics
Harel Itay 2021 MSc Sentence Retrieval for Open-Ended Dialogue using Dual Contextual Modeling
Bernstein Kfir 2021 MSc Abstracts Cluster-Based Document Retrieval with Multiple Queries
Hirsch Sharon 2020 MSc Abstracts Query Reformulation in E-Commerce Search
Zendel Oleg 2020 MSc Abstracts Information Needs, Queries and Query Performance Prediction
Raifer Nimrod 2018 MSc Abstracts Information Retrieval Meets Game Theory: The Ranking Competition Between Documents Authors
Shprincis Igal 2018 MSc Abstracts Studying The Cluster Hypothesis using Fine Grained Analysis of Relevant Documents
Kuzi Saar 2017 MSc Abstracts Discriminative Query Models
Brondwine Elinor 2017 MSc Abstracts Utilizing Focused Relevance Feedback for Ad Hoc Retrieval
Katz Shay 2016 MSc Abstracts List Selection for Fusion
Braunstain Liora 2016 MSc Abstracts Supporting Human Answers for Advice-Seeking Questions in Community Question Answering Sites
Anava Yael 2016 MSc Abstracts A Probabilistic Fusion Framework
Levi Or 2016 MSc Abstracts Selective Cluster-Based Document Retrieval
Izsak Peter 2015 MSc Abstracts The Search Engines Duel
Khalaman Savva 2015 MSc Abstracts Utilizing Inter-Document SImilarities in Federated Search
Sondak Mor 2015 MSc Abstracts Estimating Query Representativeness for Query-Performance Prediction
Katz Adir 2014 MSc Abstracts Integrating Explicit and Pseudo Feedback to Improve Retrieval Effectiveness
Rom Ofri 2014 MSc Abstracts Exploration of Advanced Methods for Pseudo-Feedback-based Retrieval
Pavlov Dmitry 2014 MSc Abstracts A Graph-Based Approach to Utilizing Minimal Relevance Feedback
Hummel Shay 2013 MSc Abstracts Evaluating the Effectiveness of Search Engines Using Minimal Relevance Judgments and Relevance Models
Markovits Gad 2013 MSc Abstracts Predicting Query Performance for Fusion-Based Retrieval
Butman Olga 2012 MSc Abstracts Query-Performance Prediction Using Minimal Relevance Feedback
Lepa Yevgeni 2012 MSc Abstracts Query Expansion Using Term Clusters
Kozorovitsky Anna 2012 MSc Abstracts Fusing Retrieved Lists Based on Inter-Document Similarities
Zighelnic Liron 2010 MSc Abstracts Robust Query Expansion based on Query-Drift Prevention
Winaver Mattan 2010 MSc Abstracts Clarity-based Query Modification for Information Retrieval
Gelfer Kalmanovich Inna 2010 MSc Abstracts Cluster-Based Relevance Models
Levi Natali 2010 MSc Abstracts Navigating in the Dark: Modeling Uncertainty in Ad Hoc Retrieval Using Multiple Relevance Models
Meister Lior 2010 MSc Abstracts Re-ranking Search Results Using an Additional Retrieved List
Bendersky Michael 2007 MSc Abstracts Passage Language Models in Ad Hoc Document Retrieval