14 citations · 24 across the 14 of their papers we have counts for
17 papers
The Hitchhiker's Guide to Agentic AI: From Foundations to Systems
Haggai Roitman
The Hitchhiker's Guide to Agentic AI is a comprehensive practitioner's reference for building autonomous AI systems, covering the full stack from first principles to production dep…
HotelQuEST: Balancing Quality and Efficiency in Agentic Search
Guy Hadad, Shadi Iskander, Oren Kalinsky +3
Agentic search has emerged as a promising paradigm for adaptive retrieval systems powered by large language models (LLMs). However, existing benchmarks primarily focus on quality,…
X-Cross: Dynamic Integration of Language Models for Cross-Domain Sequential Recommendation
Guy Hadad, Haggai Roitman, Yotam Eshel +2
As new products are emerging daily, recommendation systems are required to quickly adapt to possible new domains without needing extensive retraining. This work presents ``X-Cross'…
Unsupervised Search Algorithm Configuration using Query Performance Prediction
Haggai Roitman
Search engine configuration can be quite difficult for inexpert developers. Instead, an auto-configuration approach can be used to speed up development time. Yet, such an automatic…
Learning to Diversify for Product Question Generation
Haggai Roitman, Uriel Singer, Yotam Eshel +2
We address the product question generation task. For a given product description, our goal is to generate questions that reflect potential user information needs that are either mi…
tBDFS: Temporal Graph Neural Network Leveraging DFS
Uriel Singer, Haggai Roitman, Ido Guy +1
Temporal graph neural networks (temporal GNNs) have been widely researched, reaching state-of-the-art results on multiple prediction tasks. A common approach employed by most previ…
Sequential Modeling with Multiple Attributes for Watchlist Recommendation in E-Commerce
Uriel Singer, Haggai Roitman, Yotam Eshel +5
In e-commerce, the watchlist enables users to track items over time and has emerged as a primary feature, playing an important role in users' shopping journey. Watchlist items typi…
PreSizE: Predicting Size in E-Commerce using Transformers
Yotam Eshel, Or Levi, Haggai Roitman +1
Recent advances in the e-commerce fashion industry have led to an exploration of novel ways to enhance buyer experience via improved personalization. Predicting a proper size for a…
Conversational Document Prediction to Assist Customer Care Agents
Jatin Ganhotra, Haggai Roitman, Doron Cohen +6
A frequent pattern in customer care conversations is the agents responding with appropriate webpage URLs that address users' needs. We study the task of predicting the documents th…
A Study of Human Summaries of Scientific Articles
Odellia Boni, Guy Feigenblat, Doron Cohen +2
Researchers and students face an explosion of newly published papers which may be relevant to their work. This led to a trend of sharing human summaries of scientific papers. We an…
A Summarization System for Scientific Documents
Shai Erera, Michal Shmueli-Scheuer, Guy Feigenblat +15
We present a novel system providing summaries for Computer Science publications. Through a qualitative user study, we identified the most valuable scenarios for discovery, explorat…
A Study of BERT for Non-Factoid Question-Answering under Passage Length Constraints
Yosi Mass, Haggai Roitman, Shai Erera +3
We study the use of BERT for non-factoid question-answering, focusing on the passage re-ranking task under varying passage lengths. To this end, we explore the fine-tuning of BERT…
Query Scheduling in the Presence of Complex User Profiles
Haggai Roitman, Avigdor Gal, Louiqa Raschid
Advances in Web technology enable personalization proxies that assist users in satisfying their complex information monitoring and aggregation needs through the repeated querying o…
Query Term Weighting based on Query Performance Prediction
Haggai Roitman
This work presents a general query term weighting approach based on query performance prediction (QPP). To this end, a given term is weighed according to its predicted effect on qu…
An Editorial Network for Enhanced Document Summarization
Edward Moroshko, Guy Feigenblat, Haggai Roitman +1
We suggest a new idea of Editorial Network - a mixed extractive-abstractive summarization approach, which is applied as a post-processing step over a given sequence of extracted se…
Unsupervised Dual-Cascade Learning with Pseudo-Feedback Distillation for Query-based Extractive Summarization
Haggai Roitman, Guy Feigenblat, David Konopnicki +2
We propose Dual-CES -- a novel unsupervised, query-focused, multi-document extractive summarizer. Dual-CES is designed to better handle the tradeoff between saliency and focus in s…
An Extended Relevance Model for Session Search
Nir Levine, Haggai Roitman, Doron Cohen
The session search task aims at best serving the user's information need given her previous search behavior during the session. We propose an extended relevance model that captures…