Recommender systems in the real estate market—a survey

A Gharahighehi, K Pliakos, C Vens - Applied Sciences, 2021 - mdpi.com
The shift to e-commerce has changed many business areas. Real estate is one of the
applications that has been affected by this modern technological wave. Recommender …

Enhancing Multi-Channel Consumer Behavior Analysis: A Data-Driven Approach using the Optimized Apriori Algorithm

B Marakarkandy, B Nemade, S Kelkar… - Journal of Electrical …, 2024 - search.proquest.com
Purpose-In the dynamic arena of retail and e-commerce, understanding customer behavior
is crucial. This research paper investigates the strategies customers use to balance …

Recommendation System with Content-Based Filtering in NFT Marketplace

N Edi Surya, S Sulaiman… - … of Advances in …, 2023 - eprints.binadarma.ac.id
Non-Fungible Token (NFT) is a digital asset that cannot be exchanged or used, and uses
Crypto currency values according to the type of digital money used, for example Bitcoin …

Development of web based data-driven recommendation system for house rental via hierarchical fuzzy axiomatic design

F Şenyüzlüler, A Baykasoglu - Kybernetes, 2024 - emerald.com
Purpose In the real estate business, identifying the ideal property for a user poses a difficult
task due to the many factors involved in the decision-making process. Moreover, users often …

[PDF][PDF] Hybrid Measurement of the similarity value based on a Genetic Algorithm to improve prediction in a collaborative filtering recommendation system

S Zubair, MA Al Sabri - ADCAIJ Adv. Distrib. Comput. Artif. Intell. J, 2021 - revistas.usal.es
Recently, a recommendation system (RS) has been widely used in several disciplines, like
education, economics, scientific researches and other related fields. Based on the user …

Real estate recommendation approach for solving the item cold-start problem

J Polohakul, E Chuangsuwanich, A Suchato… - IEEE …, 2021 - ieeexplore.ieee.org
The item cold-start problem occurs when a recommendation system cannot recommend new
items owing to record deficiencies and new listing omissions. When searching for real …

Hybrid Graph Neural Networks with LSTM Attention Mechanism for Recommendation Systems in MOOCs

L Hao, S Abdipoor, L Qing… - 2024 20th IEEE …, 2024 - ieeexplore.ieee.org
Massive Open Online Courses (MOOC) represent a relatively recent development in the
educational landscape, rapidly gaining popularity and drawing research attention …

Knowledge representation of expert system in real-estate investment combining collected data

HT Nguyen, HD Nguyen, NV Do… - New Trends in …, 2022 - ebooks.iospress.nl
Buying a house is considered to be an increasing necessary demand. However, choosing
the right one is a complex and time-costing decision. In this research, a method for …

Using Content-Based Filtering and Apriori for Recommendation Systems in a Smart Shopping System

D Pebrianti, D Ahmad, L Bayuaji… - Indonesian …, 2024 - ojs.sampoernauniversity.ac.id
This research is motivated by the increasing significance of online shopping platforms and
the challenges faced by users in locating products that align with their preferences and …

[PDF][PDF] Method of Forming the Context of Advertising and Target Audience based on Associative Rules Learning.

K Lipianina-Honcharenko, T Lendiuk, A Sachenko… - CMIS, 2022 - academia.edu
Nowadays, important mechanisms of study are content and techniques of its creation, the
problem of influencing the target audience, which itself seeks to shape communication …