OpenAlex topic

Recommender Systems and Techniques

This page lists works and academicians tagged with an OpenAlex topic. It is not a YÖKSİS primary or secondary field.

OpenAlex 693 works 47 author topics

Works

693 works

Lightweight Transformer-Based Event Embeddings with Log-Frequency Session Weighting for Purchase Prediction in E-Commerce Clickstream Data 2026
No abstract yet.
Privacy meets personalization: a systematic literature review of federated recommender systems 2026
No abstract yet.
Evaluating mobile app performance through sentiment analysis with SimCLR and MobileBERT 2026
Mobile apps have significantly enhanced user engagement and convenience, providing seamless access to services anytime, anywhere. This paper presents a sentiment analysis (SA) model comprising SimCLR (Simple Contrastive Learning of Representations) and MobileBERT to measure the perceived performance of the mobile apps…
An Interpretable CF-RL-TOPSIS Fusion Model for Skills-Aware Talent Recommendation 2026
No abstract yet.
How can criterion-rich e-marketplaces recommend without CF? An explainable hybrid RL and entropy-weighted TOPSIS framework 2026
No abstract yet.
Big Data–Driven Cost-Per-Click Prediction for Hotels 2026
In today’s technological era, the pervasive presence of technology has led to exponential growth in data generation. The tourism industry, a major contributor to this data flood, generates large volumes of data, including comments, photos, and location-sharing on social media. Online tourism agencies collect metadata,…
A Comparative Analysis of Clustering Algorithms for Employee Segmentation in Human Resource Management Information Systems 2026
No abstract yet.
Split-Fed Learning Approach For House Price Prediction With Heterogeneous Features 2026
No abstract yet.
EmbMerge: A Transformer-Based Method for Fusing CDR Lists 2026
No abstract yet.
DAERec-GCA: A Deep Autoencoder-Based Collaborative Filtering Framework with Genre-Channel Alignment 2026
In top-N recommendation, incorporating item-side information can improve ranking quality under sparse user–item interactions; however, common flat concatenation strategies may weaken the structural correspondence between user ratings and item attributes while simultaneously increasing model size. To address this issue…
Personalized Broadcasting and Algorithmic Recommender Systems 2026
This study examines the digital transformation of television broadcasting through personalized broadcasting and algorithmic recommender systems. It aims to explain how television has evolved from a linear medium into a data driven, platform centered, and algorithmically organized environment. The study discusses the c…
Travel DNA: Persona-Driven Destination Prediction with Sentiment-Enhanced Hybrid Modeling 2026
This study develops a sentiment analysis-based personalized travel destination prediction system using 12.57 million user reviews from the online accommodation platform Airbnb. The proposed system operates on a dataset covering 20 European cities through a five-stage pipeline: (i) data extraction and preprocessing, (i…

Academicians

47 academicians