Enhancing Travel Decision-Making: A Contrastive Learning Approach for Personalized Review Rankings in Accommodations

Reda Igebaria, Eran Fainman, Sarai Mizrachi, Moran Beladev, Fengjun Wang
6/30/2024
cs.IRcs.LG

No confident code implementation found for this paper.

Abstract

User-generated reviews significantly influence consumer decisions, particularly in the travel domain when selecting accommodations. This paper contribution comprising two main elements. Firstly, we present a novel dataset of authentic guest reviews sourced from a prominent online travel platform, totaling over two million reviews from 50,000 distinct accommodations. Secondly, we propose an innovative approach for personalized review ranking. Our method employs contrastive learning to intricately capture the relationship between a review and the contextual information of its respective reviewer. Through a comprehensive experimental study, we demonstrate that our approach surpasses several baselines across all reported metrics. Augmented by a comparative analysis, we showcase the efficacy of our method in elevating personalized review ranking. The implications of our research extend beyond the travel domain, with potential applications in other sectors where personalized review ranking is paramount, such as online e-commerce platforms.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. Any repos shown below are weak matches — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Improving User Experience with Personalized Review Ranking and Summarization

83% match2025

Analyzing Consumer Reviews for Understanding Drivers of Hotels Ratings: An Indian Perspective

81% match2024

Sentiment Analysis of Airbnb Reviews: Exploring Their Impact on Acceptance Rates and Pricing Across Multiple U.S. Regions

77% match2025

Proactive Prioritization of App Issues via Contrastive Learning

77% match2023

SUMFORU: An LLM-Based Review Summarization Framework for Personalized Purchase Decision Support

77% match2025

Enhanced Review Detection and Recognition: A Platform-Agnostic Approach with Application to Online Commerce

77% match2024

Cite this paper

@article{igebaria2024enhancing,
  title  = {Enhancing Travel Decision-Making: A Contrastive Learning Approach for Personalized Review Rankings in Accommodations},
  author = {Reda Igebaria and Eran Fainman and Sarai Mizrachi and Moran Beladev and Fengjun Wang},
  year   = {2024},
  eprint = {2407.00787},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2407.00787v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2407.00787.svg)](https://codeofpaper.com/paper/2407.00787)

Discussion