Publications (by topic)

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Recommender Systems

E-Commerce

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

• 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

• PreSizE: Predicting Size in E-Commerce using Transformers, Y. Eshel, O. Levi, H. Roitman, A. Nus, ACM Special Interest Group on Information Retrieval (SIGIR), 2021

    Complex Recommendation

• A Collaborative Filtering Method for Handling Diverse and Repetitive User-Item Interactions, O. Sar-Shalom, H. Roitman, A. Amir, A. Karatzoglou, ACM Hypertext, 2018

• 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, 2017

User Profiling 

• 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, 2014

• Modeling the uniqueness of user preferences for recommendation systems, H. Roitman, D. Carmel, Y. Mass, I. Eiron
  ACM Special Interest Group on Information Retrieval (SIGIR), 2013

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

Healthcare

• Increasing Patient Safety using Explanation-Driven Personalized Content Recommendation, H. Roitman, Y. Mesika, Y. Tsimerman, Y. Maman, 1st ACM International Conference on Health Informatics, 2010

• Using Pharmacogenetics Knowledge to Increase Accuracy of Alerts for Adverse Drug Events, Y. Mesika, B.-C.Lee, Y. Tsimerman, H. Roitman, H.-Kyu Park, 23rd International Conference of the European Federation for Medical Informatics (MIE), 2010

Mics.

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

• Natural Language Processing for Recommender Systems, O. Sar-Shalom, H. Roitman, P. Kouki, book chapter to appear in the Handbook of Recommender Systems, 2021

• RecSys'16 Workshop on Deep Learning for Recommender Systems (DLRS), A. Karatzoglou, B. Hidasi, D. Tikk, O. Sar-Shalom, H. Roitman, B. Shapira, RecSys, 2016

Information Retrieval

Neural IR

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

• 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

• 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

Conversational Search

• 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)

Table Retrieval & Semantic Search

• 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)

  • 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)

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

• Towards Expressive Exploratory Search Over Entity-Relationship Data, S. Yogev, H. Roitman, D. Carmel, N. Zwerdling, World Wide Web conference (WWW)

• Search and Mining Entity-Relationship Data, H. Roitman, R. Schenkel, M. Grobelnik, 20th ACM International Conference on Information and Knowledge (CIKM)

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

  • Social Bookmark Weighting for Search and Recommendation, D. Carmel, H. Roitman, E. Yom-Tov, VLDB Journal, 2010

Query Performance Prediction

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

• 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)

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

  • 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)

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

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

  • 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

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

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

  • 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)

Fusion 

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

• 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

Session Search

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

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

Re-ranking

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

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

Social-Medical Discovery

• Towards Discovery-Oriented Patient Similarity Search, H. Roitman, S. Yogev, Y. Tsimerman and Y. Peres
  Health Search and Discovery (HSD) workshop (@SIGIR)

• Exploratory Search Over Social-Medical Data, H. Roitman, S. Yogev, Y. Tsimerman, D. Won Kim, Y. Messika, 20th ACM International Conference on Information and Knowledge (CIKM)

• A Unified Approach for Social-Medical Discovery, H. Roitman, Y. Mesika, Y. Tsimerman, S. Yogev, 23rd International Conference of the European Federation for Medical Informatics (MIE)

  • On the Support of Flexible Patient Privacy Policies in Social-Medical Discovery, H. Roitman, S. Yogev, Y. Tsimerman, Y. Peres, 24th International Conference of the European Federation for Medical Informatics (MIE)

SEO & Content Analysis

• Enhancing Digital Libraries Using Missing Content Analysis, D. Carmel, E. Yom-Tov, H. Roitman, Joint Conference on Digital Libraries (JCDL)

• 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

Misc.

• 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)

NLP

E-Commerce

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

• 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

Automatic Summarization

• 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)

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

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

• 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

• 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)

• 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)

Cluster Labeling

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

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

User Generated Content (UGC) Analysis

• Folksonomy-Based Term Extraction for Word Cloud Generation, D . Carmel, I. Guy, E. Uziel, Y. Mass, H. 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, D. Carmel, H. Roitman, E. Yom-Tov, ACM Transactions on Intelligent Systems and Technology (TIST), Special Issue on Search and Mining User Generated Contents

• Folksonomy-Based Term Extraction for Word Cloud Generation, D. Carmel, I. Guy, E. Uziel, Y. Mass, H. Roitman, 20th ACM Conference on Information and Knowledge Management (CIKM)

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

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

• Maintaining Dynamic Channel Profiles on the Web, H. Roitman, D. Carmel, E.Yom-Tov, 34th International Conference on Very Large Data Bases (VLDB)

  Text Quantification

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

Social Media 

Social Network Analysis

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

  • 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 )

Marketing

• 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

• 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

• 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)

Crowd Sensing

• Harnessing the crowds for smart city sensing, H. Roitman, J. Mamou, S. Mehta, A. Satt, LV Subramaniam
  Proceedings of the 1st international workshop on Multimodal crowd sensing

• Workshop on Multimodal Crowd Sensing (CrowdSens 2012), H. Roitman, I. Cantador, M. Fernandez, 21st ACM International Conference on Information and Knowledge (CIKM)

• 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

Schema Matching & Data Integration 

Learning to Match

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

• 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) 

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

• 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)

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

Top-K Matching

• 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)

• Providing Top-K Alternative Schema Matchings with OntoMatcher, H. Roitman, A. Gal, C. Domshlak, 27th International Conference on Conceptual Modelling (ER)

• Rank Aggregation for Automatic Schema Matching, C. Domshlak, A. Gal, H. Roitman, IEEE Transactions on Knowledge and Data Engineering

Ontologies

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

Online Data Delivery (PhD thesis)

• A Dual Framework and Algorithms for Targeted Data Delivery, H. Roitman, A. Gal, L. Raschid, IEEE Transactions on Knowledge and Data Engineering

• On Trade-offs in Event Delivery Systems, H. Roitman, A. Gal, L. Raschid, The 4th ACM International Conference on Distributed Event-Based Systems (DEBS)

• Web Monitoring 2.0 - Crossing Streams to Satisfy Complex Data Needs, H.Roitman, A. Gal, L. Raschid, 25th IEEE International Conference on Data Engineering (ICDE)

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

• Capturing Approximated Data Delivery Trade-offs, H. Roitman, A. Gal, L. Raschid, 24th IEEE International Conference on Data Engineering (ICDE)

• On the Challenges in Event Delivery, H. Roitman, A. Gal, L. Raschid, 2nd International Conference on Distributed Event-Based Systems (DEBS)

• Framework and Algorithms for Web Resource Monitoring and Data Delivery, H. Roitman, A. Gal, L. Raschid Technical Report CS-TR-4806, UMIACS-TR- 2006-26, University of Maryland, College Park

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

• Profile Based Online Data Delivery ,H. Roitman, A. Gal, L. Raschid, VLDB 2006 Ph.D. Workshop

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