Publications (By Year)

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2024

• Personalized Ordering of Recommendation-Modules on an E-Commerce Homepage, H. Roitman, A. Nus, Y. Eshel, to appear in The Web Conference (WWW), 2024

• Unsupervised Search Algorithm Configuration using Query Performance Prediction, H. Roitman, to appear in The Web Conference (WWW), 2024

2022

• Sequential Modeling with Multiple Attributes for Watchlist Recommendation in E-Commerce, U. Singer, H. Roitman, Y. Eshel, A. Nus, O. Levi, I. Hasson, E. Kiperwasser, I. Guy, International Conference on Web Search and Data Mining (WSDM), 2022

• Natural Language Processing for Recommender Systems, O. Sar-Shalom, H. Roitman, P. Kouki, book chapter in the Handbook of Recommender Systems, 2022

• tDFS: Temporal Graph Neural Network Leveraging DFS , U. Singer, H. Roitman, I. Guy, K. Radinsky, arxiv, 2022

• Learning to Diversify for Product Question Generation, H. Roitman, U. Singer, Y. Eshel, A. Nus, E. Kiperwasser, Workshop on Content Understanding and Generation for E-Commerce, KDD, 2022

2021

• PreSizE: Predicting Size in E-Commerce using Transformers, Y. Eshel, O. Levi, H. Roitman, A. Nus, ACM Special Interest Group on Information Retrieval (SIGIR)

• Automatic Form Filling with Form-BERT, G. Fuchs , H. Roitman, M. Mandelbrod,  ACM Special Interest Group on Information Retrieval (SIGIR)

• Learning to Rerank Schema Matches, R. Shraga, A. Gal, H. Roitman, IEEE Transactions on Knowledge and Data Engineering

2020

• Ad-hoc Document Retrieval using Weak-Supervision with BERT and GPT2, Y. Mass, H. Roitman, Conference on Empirical Methods in Natural Language Processing (EMNLP)

• Conversational Document Prediction to Assist Customer Care Agents, J. Ganhotra, H. Roitman, D. Cohen, N. Mills, C. Gunasekara, Y. Mass, S. Joshi, L. Lastras , D. Konopnicki, Conference on Empirical Methods in Natural Language Processing (EMNLP)

• Agent Assist through Conversation Analysis, K. P. Fadnis, N. Mills, J. Ganhotra, H. Roitman, G. Pandey, D.Cohen, Y. Mass, S. Erera, C. Gunasekara, D. Contractor, S. Sankalp Patel, V.Liao, S.Joshi, L. A. Lastras, D. Konopnicki, Conference on Empirical Methods in Natural Language Processing (EMNLP)

• ADnEV: Cross-Domain Schema Matching using Deep Similarity Matrix Adjustment and Evaluation
  R. Shraga, A. Gal, H. Roitman, International Conference on Very Large Databases (VLDB) 

• Web Table Retrieval using Multimodal Deep Learning, R. Shraga, H. Roitman, G. Feigenblat, M. Canim,
  ACM Special Interest Group on Information Retrieval (SIGIR)

• Projection-based Relevance Model for Table Retrieval, R. Shraga, H. Roitman, G. Feigenblat, B. Weiner
  The Web Conference (WWW)

• Ad-Hoc Table Retrieval using Intrinsic and Extrinsic Similarities, R. Shraga, H. Roitman, G. Feigenblat,
  M. Canim, The Web Conference (WWW)

• Unsupervised Dual-Cascade Learning with Pseudo-Feedback Distillation for Query-based Extractive Summarization
  H. Roitman, G.Feigenblat, D. Konopnicki, D. Cohen, O. Boni, The Web Conference (WWW)

• Unsupervised FAQ Retrieval with Question Generation and BERT, Y. Mass, B. Carmeli, H. Roitman,
  D. Konopnicki, Annual Conference of the Association for Computational Linguistics (ACL), Seattle, USA

• Query Performance Prediction for Multifield Document Retrieval, H. Roitman, Y. Mass, G. Feigenblat, R. Shraga
  International Conference on the Theory of Information Retrieval (ICTIR)

• ICTIR Tutorial: Modern Query Performance Prediction: Theory and Practice, H. Roitman
  International Conference on the Theory of Information Retrieval (ICTIR)

• A Study of Human Summaries of Scientific Articles, O. Boni, G. Feigenblat, D. Cohen, H. Roitman, D. Konopnicki, arxiv

2019

• Query Term Weighting based on Query Performance Prediction, H. Roitman, arxiv

• An Editorial Network for Enhanced Document Summarization, E. Moroshko, G. Feigenblat, H. Roitman, D. Konopnicki, New Frontiers in Summarization (EMNLP)

• Utilizing Passages in Fusion-based Document Retrieval, H. Roitman, Y. Mass
  ACM SIGIR International Conference on Theory of Information Retrieval

• A Study of Query Performance Prediction for Answer Quality Determination, H. Roitman, S. Erera, G. Feigenblat
  ACM SIGIR International Conference on Theory of Information Retrieval

• Normalized Query Commitment Revisited, H. Roitman, ACM Special Interest Group on Information Retrieval (SIGIR)

• Query Performance Prediction for Pseudo-Feedback-Based Retrieval, H. Roitman, O. Kurland
  ACM Special Interest Group on Information Retrieval (SIGIR),

• A Study of BERT for Non-Factoid Question-Answering under Passage Length Constraints, Y. Mass, H.Roitman,
  S. Erera, O. Rivlin, B. Weiner, D. Konopnicki, arxiv

• A Summarization System for Scientific Documents , S. Erera, M. Shmueli-Scheuer, G.Feigenblat, O. P. Nakash, O. Boni, H.Roitman, D. Cohen, B. Weiner, Y. Mass, O. Rivlin, G. Lev, A.Jerbi, J. Herzig, Y. Hou, C. Jochim, M. Gleize, F. Bonin, and D. Konopnicki, EMNLP

2018

• Heterogeneous Data Integration by Learning to Rerank Schema Matches, A. Gal, H. Roitman, R. Shraga, International Conference on Data Mining (ICDM)

• An Extended Query Performance Prediction Framework Utilizing Passage-Level Information, H. Roitman, ACM SIGIR International Conference on Theory of Information Retrieval (Best Paper Award)

• Enhanced Performance Prediction of Fusion-based Retrieval, H. Roitman, ACM SIGIR International Conference on Theory of Information Retrieval (nominated for the Best Short Paper Award)

• Utilizing Pseudo-Relevance Feedback in Fusion-based Retrieval, H. Roitman, ACM SIGIR International Conference on Theory of Information Retrieval

• Query Performance Prediction using Passage Information, H. Roitman, ACM Special Interest Group on Information Retrieval (SIGIR)

• What Type of a Matcher Are You? Coordination of Human and Algorithmic Matchers, R. Shraga, A. Gal, H. Roitman, Workshop on Human-In-the-Loop Data Analytics (HILDA@SIGMOD)

• As Stable As You Are: Re-ranking Search Results using Query-Drift Analysis, H. Roitman, E. Rabinovich, O. Sar-Shalom, ACM Hypertext

• A Collaborative Filtering Method for Handling Diverse and Repetitive User-Item Interactions, O. Sar-Shalom, H. Roitman, A. Amir, A. Karatzoglou, ACM Hypertext

2017

• SummIt: A Tool for Extractive Summarization, Discovery and Analysis, G. Feigenblat, O. Boni, H. Roitman, D. Konopnicki, International Conference on Information and Knowledge Management (CIKM)

• Session Search in Apache Solr, H. Roitman, D. Cohen, S. Erera, N. Levine, SIGIR'2017 Workshop on Lucene for Information Access and Retrieval Research

• Enhanced Mean Retrieval Score Estimation for Query Performance Prediction, H. Roitman, S. Erera, O. Sar-Shalom, B. Weiner, ACM SIGIR International Conference on Theory of Information Retrieval

• A User Re-Modeling Approach to Item Recommendation using Complex Usage Data, O. Sar-Shalom, H. Roitman, Y. Mansour, A. Amir, ACM SIGIR International Conference on Theory of Information Retrieval

• Robust Standard Deviation Estimation for Query Performance Prediction, H. Roitman, S. Erera, B. Weiner, ACM SIGIR International Conference on Theory of Information Retrieval

• Enhanced Probabilistic Classify and Count Methods for Multi-Label Text Quantification, R. Levin, H. Roitman, ACM SIGIR International Conference on Theory of Information Retrieval

• Unsupervised Query-Focused Multi-Document Summarization using the Cross Entropy Method, G. Feigenblat, H.Roitman, O. Boni and D. Konopnicki, ACM Special Interest Group on Information Retrieval (SIGIR)

• An Enhanced Approach to Query Performance Prediction Using Reference Lists, H. Roitman, ACM Special Interest Group on Information Retrieval (SIGIR)

• An Extended Relevance Model for Session Search, N.Levine, H. Roitman, D. Cohen, ACM Special Interest Group on Information Retrieval (SIGIR)

2016

• RecSys'16 Workshop on Deep Learning for Recommender Systems (DLRS), A. Karatzoglou, B. Hidasi, D. Tikk, O. Sar-Shalom, H. Roitman, B. Shapira, RecSys

• From "More Like This" to "Better Than This", H. Roitman, D. Cohen, S. Hummel, The 2nd ACM International Conference on the Theory of Information Retrieval (ICTIR)

• From Diversity-based Prediction to Better Ontology & Schema Matching, A. Gal, H. Roitman, T. Sagi, World Wide Web conference (WWW)

• On the Retrieval of Wikipedia Articles Containing Claims on Controversial Topics, H.Roitman, S. Hummel, E. Rabinovich, B. Sznajder, N. Slonim. E. Aharoni, Wiki Workshop @ WWW

• When Watson Went to Work - Leveraging Cognitive Computing in the Real World, A. Soffer, D. Konopnicki, H. Roitman, ACM Special Interest Group on Information Retrieval (SIGIR)

2014

• Understanding Customer Behavior Using Indoor Location Analysis and Visualization, A. Yaeli, P. Bak, G. Feigenblat, S. Nadler, H. Roitman, G. Saadoun, H. J. Ship, D. Cohen, O. Fuchs, S. Ofek-Koifman, T. Sandbank, IBM Journal of Research and Development, User modeling

• An Author-Reader Influence Model for Detecting Topic-based Influencers in Social Media, J. Herzig, Y. Mass, H. Roitman, ACM Hypertext

• A Fusion Approach to Cluster Labeling, H. Roitman, S. Hummel, M. Shmueli-Scheuer, ACM Special Interest Group on Information Retrieval (SIGIR)

• Using the Cross-Entropy Method to Re-Rank Search Results, H. Roitman, S. Hummel, O. Kurland, ACM Special Interest Group on Information Retrieval (SIGIR)

• Measuring the Effectiveness of Multi-Channel Marketing Campaigns Using Online Chatter, H. Roitman, G. Barkai, D. Konopnicki, A. Soffer, World Wide Web conference (WWW)

• Harnessing the Crowds for Multi-Channel Marketing Monitoring, H. Roitman, G. Barkai, D. Konopnicki, M.Shmueli-Scheuer, Big Data Consumer Analytics (BDCA) workshop @ICDE

• Microcosm: Visual Discovery, Exploration and Analysis of Social Communities, H. Roitman, A.Raviv, S.Erera, S. Hummel, D. Konopnicki, International Conference On Intelligent User Interfaces (IUI )

2013

• A statistical approach to mining customers' conversational data from social media, Konopnicki, D.Shmueli-Scheuer, M. ; Cohen, D. ; Sznajder, B. ; Herzig, J. ; Raviv, A. ; Zwerling, N., Roitman, H., Mass, Y., IBM Journal of Research and Development

• Modeling the uniqueness of user preferences for recommendation systems, Haggai Roitman, David Carmel, Yosi Mass, Iris Eiron
  ACM Special Interest Group on Information Retrieval (SIGIR)

• Towards Discovery-Oriented Patient Similarity Search, Haggai Roitman, Sivan Yogev, Yevgenia Tsimerman and Yardena Peres
  Health Search and Discovery (HSD) workshop (@SIGIR)

2012

• The First Joint International Workshop on Entity-oriented and Semantic Search (JIWES), K. Balog, D. Carmel, A. P. de Vries, D. M. Herzig, P. Mika, H. Roitman, R. Schenkel, P. Serdyukov, and T. Tran, SIGIR Forum, 46(2)

• Greaaaat bargains starting from just 99p!!!! :-) : Brand Perception in the Social Media, Michal Shnueli-Scheuer, Benjamine Sznajder, Doron Cohen, Ariel Raviv, David Konopnicki, Haggai Roitman, First int. Workshop on Multimodal Crowd-Sensing (CrowdSens)

• Harnessing the crowds for smart city sensing, Haggai Roitman, Jonathan Mamou, Sameep Mehta, Aharon Satt, LV Subramaniam
  Proceedings of the 1st international workshop on Multimodal crowd sensing

• Workshop on Multimodal Crowd Sensing (CrowdSens 2012), Haggai Roitman, Ivan Cantador, Miriam Fernandez, 21st ACM International Conference on Information and Knowledge (CIKM)

• Bridging the Gaps Towards Advanced Data Discovery over Semi-Structured Data, Sivan Yogev, Haggai Roitman, Proceedings of the 31st International Conference on Conceptual Modeling (ER)

• Towards Expressive Exploratory Search Over Entity-Relationship Data, Sivan Yogev, Haggai Roitman, David Carmel, Naama Zwerdling, World Wide Web conference (WWW)

• Surfacing Time-critical Insights from Social Media, B. Alexe, M. A. Hernandez, K. W. Hildrum, R. Krishnamurthy, G. Koutrika, M. Nagarajan, H. Roitman, M. Shmueli-Scheuer,, ACM SIGMOD

• Folksonomy-Based Term Extraction for Word Cloud Generation, David Carmel, Ido Guy, Erel Uziel, Yosi Mass, Haggai Roitman, ACM Transactions on Intelligent Systems and Technology (TIST), Special Issue on Computational Models of Collective Intelligence in the Social Web

• On the Relationship Between Novelty and Popularity of User-Generated Content, David Carmel, Haggai Roitman, Elad Yom-Tov, ACM Transactions on Intelligent Systems and Technology (TIST), Special Issue on Search and Mining User Generated Contents

• On the Support of Flexible Patient Privacy Policies in Social-Medical Discovery, Haggai Roitman, Sivan Yogev, Yevgenia Tsimerman, Yardena Peres, 24th International Conference of the European Federation for Medical Informatics (MIE)

2011

• Search and Mining Entity-Relationship Data, Haggai Roitman, Ralf Schenkel, Marko Grobelnik, 20th ACM International Conference on Information and Knowledge (CIKM)

• An Authorization Model for Entity Search, Haggai Roitman, Sivan Yogev, 1st Int. Workshop on Search and Mining Entity-Relationship Data (SMER)

• Exploratory Search Over Social-Medical Data, Haggai Roitman, Sivan Yogev, Yevgenia Tsimerman, Dae Won Kim, Yossi Messika, 20th ACM International Conference on Information and Knowledge (CIKM)

• Folksonomy-Based Term Extraction for Word Cloud Generation, David Carmel, Ido Guy, Erel Uziel, Yosi Mass, Haggai Roitman, 20th ACM Conference on Information and Knowledge Management (CIKM)

• A Unified Approach for Social-Medical Discovery, Haggai Roitman, Yossi Mesika, Yevgenia Tsimerman, Sivan Yogev, 23rd International Conference of the European Federation for Medical Informatics (MIE)

• Using Pharmacogenetics Knowledge to Increase Accuracy of Alerts for Adverse Drug Events, Yossi Mesika, Byung-Chul Lee, Yengenia Tsimerman, Haggai Roitman, Heon-Kyu Park, 23rd International Conference of the European Federation for Medical Informatics (MIE)

• A Dual Framework and Algorithms for Targeted Data Delivery, Haggai Roitman, Avigdor Gal, Louiqa Raschid, IEEE Transactions on Knowledge and Data Engineering

2010

• Increasing Patient Safety using Explanation-Driven Personalized Content Recommendation, Haggai Roitman, Yossi Mesika, Yevgenia Tsimerman, Yonatan Maman, 1st ACM International Conference on Health Informatics

• On the Relationship Between Novelty and Popularity of User-Generated Content, David Carmel, Haggai Roitman, Elad Yom-Tov, 19th ACM Conference on Information and Knowledge Management (CIKM)

• Social Bookmark Weighting for Search and Recommendation, David Carmel, Haggai Roitman, Elad Yom-Tov, VLDB Journal

• On Trade-offs in Event Delivery Systems, Haggai Roitman, Avigdor Gal, Louiqa Raschid, The 4th ACM International Conference on Distributed Event-Based Systems (DEBS)

• Extracting User Profiles from Large Scale Data, Michal Shmueli-Scheuer, Haggai Roitman, David Carmel, Yosi Mass, David Konopnicki, MDAC 2010 : International Workshop on Massive Data Analytics over the Cloud

2009

• Web Monitoring 2.0 - Crossing Streams to Satisfy Complex Data Needs, Haggai Roitman, Avigdor Gal, Louiqa Raschid, 25th IEEE International Conference on Data Engineering (ICDE)

• Best Effort Top-K Query Processing Under Budgetary Constraints, M. Shmueli-Scheuer, Chen Li, Yosi Mass, Haggai Roitman, Ralf Schenkel, Gerhard Weikum, 25th IEEE International Conference on Data Engineering (ICDE)

• A service delivery platform for server management services, J Lenchner, D Rosu, NF Velasquez, S Guo, K Christiance, D DeFelice, PM Deshpande, K Kummamuru, N Kraus, LZ Luan, H. Roitman, IBM Journal of Research and Development

• Enhancing Cluster Labeling Using Wikipedia, David Carmel, Haggai Roitman, Naama Zwerdling, 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

• Who Tags the Tags? A Framework for Bookmark Weighting, David Carmel, Haggai Roitman, Elad Yom-Tov, 18th ACM Conference on Information and Knowledge Management (CIKM)

2008

• Satisfying Complex Data Needs using Pull-Based Online Monitoring of Volatile Data Sources, Haggai Roitman, Avigdor Gal, Louiqa Raschid, 24th IEEE International Conference on Data Engineering (ICDE)

• Capturing Approximated Data Delivery Trade-offs, Haggai Roitman, Avigdor Gal, Louiqa Raschid, 24th IEEE International Conference on Data Engineering (ICDE)

• Enhancing Digital Libraries Using Missing Content Analysis, David Carmel, Elad Yom-Tov, Haggai Roitman, Joint Conference on Digital Libraries (JCDL)

• On the Challenges in Event Delivery, Haggai Roitman, Avigdor Gal, Louiqa Raschid, 2nd International Conference on Distributed Event-Based Systems (DEBS)

• Maintaining Dynamic Channel Profiles on the Web, Haggai Roitman, David Carmel, Elad Yom-Tov, 34th International Conference on Very Large Data Bases (VLDB)

• Providing Top-K Alternative Schema Matchings with OntoMatcher, Haggai Roitman, Avigdor Gal, Carmel Domshlak, 27th International Conference on Conceptual Modelling (ER)

2007

• Rank Aggregation for Automatic Schema Matching, Carmel Domshlak, Avigdor Gal, Haggai Roitman, IEEE Transactions on Knowledge and Data Engineering

2006

• Framework and Algorithms for Web Resource Monitoring and Data Delivery, Haggai Roitman, Avigdor Gal, Louiqa Raschid

Technical Report CS-TR-4806, UMIACS-TR- 2006-26, University of Maryland, College Park

• OntoBuilder: Fully Automatic Extraction and Consolidation of Ontologies from Web Sources using Sequence Semantics, Haggai Roitman, Avigdor Gal, EDBT 2006 Workshops, Semantics of sequence and time dependent data

• Profile Based Online Data Delivery, Haggai Roitman, 3rd OTM Academy Doctoral Consortium

• Profile Based Online Data Delivery ,Haggai Roitman, Avigdor Gal, Louiqa Raschid, VLDB 2006 Ph.D. Workshop

• ProMo - A Scalable and Efficient Framework for Online Data Delivery, Haggai Roitman, Avigdor Gal, Louiqa Raschid, NGITS '06 - Int. workshop on Next Generation Information Technologies and Systems