1 citations · 1 across the 5 of their papers we have counts for
5 papers
HotelMatch-LLM: Joint Multi-Task Training of Small and Large Language Models for Efficient Multimodal Hotel Retrieval
Arian Askari, Emmanouil Stergiadis, Ilya Gusev +1
We present HotelMatch-LLM, a multimodal dense retrieval model for the travel domain that enables natural language property search, addressing the limitations of traditional travel…
Enhancing Travel Decision-Making: A Contrastive Learning Approach for Personalized Review Rankings in Accommodations
Reda Igebaria, Eran Fainman, Sarai Mizrachi +2
User-generated reviews significantly influence consumer decisions, particularly in the travel domain when selecting accommodations. This paper contribution comprising two main elem…
Tell Me What Is Good About This Property: Leveraging Reviews For Segment-Personalized Image Collection Summarization
Monika Wysoczanska, Moran Beladev, Karen Lastmann Assaraf +4
Image collection summarization techniques aim to present a compact representation of an image gallery through a carefully selected subset of images that captures its semantic conte…
Text2Topic: Multi-Label Text Classification System for Efficient Topic Detection in User Generated Content with Zero-Shot Capabilities
Fengjun Wang, Moran Beladev, Ofri Kleinfeld +6
Multi-label text classification is a critical task in the industry. It helps to extract structured information from large amount of textual data. We propose Text to Topic (Text2Top…
MuMIC -- Multimodal Embedding for Multi-label Image Classification with Tempered Sigmoid
Fengjun Wang, Sarai Mizrachi, Moran Beladev +4
Multi-label image classification is a foundational topic in various domains. Multimodal learning approaches have recently achieved outstanding results in image representation and s…