Cover Image

A Proposed Hybrid Recommender System for Tourism Industry in Iraq Using Evolutionary Apriori and K-means Algorithms

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hassan, Bryar A., Hassan, Alla A., Lu, Joan, Ahmed, Aram M., Rashid, Tarik A.
Format:	Preprint
Published:	2025
Subjects:	Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Reducing Formal Context Extraction: A Newly Proposed Framework from Big Corpora
by: Hassan, Bryar A., et al.
Published: (2025)

Enhancing Tourism Recommender Systems for Sustainable City Trips Using Retrieval-Augmented Generation
by: Banerjee, Ashmi, et al.
Published: (2024)

Modified Bat Algorithm: A Newly Proposed Approach for Solving Complex and Real-World Problems
by: Umar, Shahla U., et al.
Published: (2024)

INTERPOS: Interaction Rhythm Guided Positional Morphing for Mobile App Recommender Systems
by: Maqbool, M. H., et al.
Published: (2025)

Multistakeholder Fairness in Tourism: What can Algorithms learn from Tourism Management?
by: Muellner, Peter, et al.
Published: (2025)

Hybrid Cold-Start Recommender System for Closure Model Selection in Multiphase Flow Simulations
by: Hänsch, S., et al.
Published: (2026)

Implementation of Recommendation Algorithm based on Recommendation Sessions in E-commerce IT System
by: Malinowski, Michał
Published: (2024)

Modeling Sustainable City Trips: Integrating CO2e Emissions, Popularity, and Seasonality into Tourism Recommender Systems
by: Banerjee, Ashmi, et al.
Published: (2024)

Rethinking Recommender Systems: Cluster-based Algorithm Selection
by: Lizenberger, Andreas, et al.
Published: (2024)

Multi-Margin Cosine Loss: Proposal and Application in Recommender Systems
by: Ozsoy, Makbule Gulcin
Published: (2024)

Recommendation Algorithm Based on Recommendation Sessions
by: Malinowski, Michał
Published: (2024)

Hybrid Matrix Factorization Based Graph Contrastive Learning for Recommendation System
by: Chen, Hao, et al.
Published: (2025)

Recommender Systems Algorithm Selection for Ranking Prediction on Implicit Feedback Datasets
by: Wegmeth, Lukas, et al.
Published: (2024)

Top-Personalized-K Recommendation
by: Kweon, Wonbin, et al.
Published: (2024)

D2K: Turning Historical Data into Retrievable Knowledge for Recommender Systems
by: Qin, Jiarui, et al.
Published: (2024)

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling
by: Arabzadeh, Ardalan
Published: (2025)

Proposing a Semantic Movie Recommendation System Enhanced by ChatGPT's NLP Results
by: Fallahi, Ali, et al.
Published: (2025)

Knowledge Graph Driven Recommendation System Algorithm
by: Zhang, Chaoyang, et al.
Published: (2023)

From A-to-Z Review of Clustering Validation Indices
by: Hassan, Bryar A., et al.
Published: (2024)

Transparent and Scrutable Recommendations Using Natural Language User Profiles
by: Ramos, Jerome, et al.
Published: (2024)

Meta Lattice: Model Space Redesign for Cost-Effective Industry-Scale Ads Recommendations
by: Luo, Liang, et al.
Published: (2025)

Embedding Compression in Recommender Systems: A Survey
by: Li, Shiwei, et al.
Published: (2024)

Improving Tag-Clouds as Visual Information Retrieval Interfaces
by: Hassan-Montero, Yusef, et al.
Published: (2024)

Zeroshot Listwise Learning to Rank Algorithm for Recommendation
by: Wang, Hao
Published: (2024)

Algorithm Adaptation Bias in Recommendation System Online Experiments
by: Zheng, Chen, et al.
Published: (2025)

TRACE: Tourism Recommendation with Accountable Citation Evidence
by: Zhao, Zixu, et al.
Published: (2026)

TRACE: A Conversational Framework for Sustainable Tourism Recommendation with Agentic Counterfactual Explanations
by: Banerjee, Ashmi, et al.
Published: (2026)

MOSAIC: Multimodal Multistakeholder-aware Visual Art Recommendation
by: Yilma, Bereket A., et al.
Published: (2024)

PinRec: Outcome-Conditioned, Multi-Token Generative Retrieval for Industry-Scale Recommendation Systems
by: Agarwal, Prabhat, et al.
Published: (2025)

AEFS: Adaptive Early Feature Selection for Deep Recommender Systems
by: Hu, Fan, et al.
Published: (2025)

Estimating the Effective Topics of Articles and journals Abstract Using LDA And K-Means Clustering Algorithm
by: Rahman, Shadikur, et al.
Published: (2025)

Balancing Fine-tuning and RAG: A Hybrid Strategy for Dynamic LLM Recommendation Updates
by: Meng, Changping, et al.
Published: (2025)

A Survey of Retrieval Algorithms in Ad and Content Recommendation Systems
by: Zhao, Yu, et al.
Published: (2024)

Rethinking Recommendation Paradigms: From Pipelines to Agentic Recommender Systems
by: Hu, Jinxin, et al.
Published: (2026)

Demystifying Sequential Recommendations: Counterfactual Explanations via Genetic Algorithms
by: Scarcelli, Domiziano, et al.
Published: (2025)

A Lay User Explainable Food Recommendation System Based on Hybrid Feature Importance Extraction and Large Language Models
by: Tessa, Melissa, et al.
Published: (2025)

Cognitive Evolutionary Learning to Select Feature Interactions for Recommender Systems
by: Yu, Runlong, et al.
Published: (2024)

Federated Conversational Recommender System
by: Lin, Allen, et al.
Published: (2025)

Deep Research for Recommender Systems
by: Ou, Kesha, et al.
Published: (2026)

Emotion-based Recommender System
by: Wang, Hao
Published: (2025)