Hybrid deep-semantic matrix factorization for tag-aware personalized recommendation

Hybrid deep-semantic matrix factorization for tag-aware personalized recommendation

Matrix factorization has now become a dominant solution for personalized recommendation on the Social Web. To alleviate the cold start problem, previous approaches have incorporated various additional sources of information into traditional matrix factorization models. These upgraded models, however...

Fuld beskrivelse

Bibliografiske detaljer
Main Authors:	Xu, Z, Yuan, D, Lukasiewicz, T, Chen, C, Miao, Y, Xu, G
Format:	Conference item
Sprog:	English
Udgivet:	IEEE Digital Library 2020

Lignende værker

Tag-Aware Personalized Recommendation Using a Hybrid Deep Model
af: Xu, Z, et al.
Udgivet: (2017)

Tag-Aware Personalized Recommendation Using a Deep-Semantic Similarity Model with Negative Sampling
af: Xu, Z, et al.
Udgivet: (2016)

Location-aware personalized news recommendation with deep semantic analysis
af: Chen, C, et al.
Udgivet: (2017)

Location-Aware News Recommendation Using Deep Localized Semantic Analysis
af: Chen, C, et al.
Udgivet: (2017)

Lightweight tag-aware personalized recommendation on the social web using ontological similarity
af: Xu, Z, et al.
Udgivet: (2018)

Lightweight Tag-Aware Personalized Recommendation on the Social Web Using Ontological Similarity
af: Zhenghua Xu, et al.
Udgivet: (2018-01-01)

Trust Aware Recommendation using Deep Matrix Factorization Model
af: pradip mukundrao paithane
Udgivet: (2024-08-01)

POI recommendation by deep neural matrix factorization integrated attention-aware meta-paths
af: Xiaoyan Li, et al.
Udgivet: (2024-08-01)

TRSDL: Tag-Aware Recommender System Based on Deep Learning–Intelligent Computing Systems
af: Nan Liang, et al.
Udgivet: (2018-05-01)

Tagrec-CMTF: Coupled Matrix and Tensor Factorization for Tag Recommendation
af: Yi Yang, et al.
Udgivet: (2018-01-01)

Location-Aware Service Recommendation With Enhanced Probabilistic Matrix Factorization
af: Yuyu Yin, et al.
Udgivet: (2018-01-01)

Field-Aware Matrix Factorization for Recommender Systems
af: Zhiyuan Zhang, et al.
Udgivet: (2018-01-01)

Recommendation Algorithm Based on Knowledge Graph and Tag-aware
af: NING Ze-fei, SUN Jing-yu, WANG Xin-juan
Udgivet: (2021-11-01)

Semantic-Enhanced and Context-Aware Hybrid Collaborative Filtering for Event Recommendation in Event-Based Social Networks
af: Minghua Xu, et al.
Udgivet: (2019-01-01)

Contrastive Learning-Based Personalized Tag Recommendation
af: Aoran Zhang, et al.
Udgivet: (2024-09-01)

Personality-Based Matrix Factorization for Personalization in Recommender Systems
af: Mazyar Ghezelji, et al.
Udgivet: (2022-03-01)

DTGCF: Diversified Tag-Aware Recommendation with Graph Collaborative Filtering
af: Yi Zuo, et al.
Udgivet: (2023-02-01)

TAG RECOMMENDATION FOR SHORT ARABIC TEXT BY USING LATENT SEMANTIC ANALYSIS OF WIKIPEDIA
af: Iyad AlAgha, et al.
Udgivet: (2020-06-01)

TRAL: A Tag-Aware Recommendation Algorithm Based on Attention Learning
af: Yi Zuo, et al.
Udgivet: (2023-01-01)

HyPeRM: A hybrid personality-aware recommender for movie
af: Balakrishnan, Vimala, et al.
Udgivet: (2018)

CSRLoan: Cold Start Loan Recommendation with Semantic-Enhanced Neural Matrix Factorization
af: Kai Zhuang, et al.
Udgivet: (2022-12-01)

Semantic-Aware Visual Abstraction of Large-Scale Social Media Data With Geo-Tags
af: Zhiguang Zhou, et al.
Udgivet: (2019-01-01)

Service-Aware Personalized Item Recommendation
af: Noemi Mauro, et al.
Udgivet: (2022-01-01)

Personalized recommendation system based on social tags in the era of Internet of Things
af: Dong Jie, et al.
Udgivet: (2022-06-01)

Personalized Tag Recommendation Based on Convolution Feature and Weighted Random Walk
af: Liu Zheng, et al.
Udgivet: (2020-01-01)

An Adversarial Deep Hybrid Model for Text-Aware Recommendation with Convolutional Neural Networks
af: Xiaolin Zheng, et al.
Udgivet: (2019-12-01)

Learning to Make Document Context-Aware Recommendation with Joint Convolutional Matrix Factorization
af: Lei Guo, et al.
Udgivet: (2020-01-01)

Kernel-Based Matrix Factorization With Weighted Regularization for Context-Aware Recommender Systems
af: Vandana A. Patil, et al.
Udgivet: (2022-01-01)

Deformable Convolutional Matrix Factorization for Document Context-Aware Recommendation in Social Networks
af: Honglong Chen, et al.
Udgivet: (2019-01-01)

A Context-Awareness Personalized Tourist Attraction Recommendation Algorithm
af: Zhang Zhijun, et al.
Udgivet: (2016-12-01)

Research of Personalized Course Recommended Algorithm based on the Hybrid Recommendation
af: Yang Qing, et al.
Udgivet: (2018-01-01)

Deep Matrix Factorization Approach for Collaborative Filtering Recommender Systems
af: Raúl Lara-Cabrera, et al.
Udgivet: (2020-07-01)

Recommendation System Based on Deep Sentiment Analysis and Matrix Factorization
af: Ning Liu, et al.
Udgivet: (2023-01-01)

An approach for learning resource recommendation using deep matrix factorization
af: Tran Thanh Dien, et al.
Udgivet: (2022-10-01)

STS: Spatial–Temporal–Semantic Personalized Location Recommendation
af: Wenchao Li, et al.
Udgivet: (2020-09-01)

Personalization Recommendation Algorithm Based on Trust Correlation Degree and Matrix Factorization
af: Weimin Li, et al.
Udgivet: (2019-01-01)

Context-aware Based API Personalized Recommendation
af: CHEN Chen, ZHOU Yu, WANG Yong-chao, HUANG Zhi-qiu
Udgivet: (2021-12-01)

Matrix Factorization Based Recommendation System using Hybrid Optimization Technique
af: P. Rao, et al.
Udgivet: (2021-09-01)

User recommendation algorithm in social tagging system based on hybrid user trust
af: Mustapha, Norwati, et al.
Udgivet: (2013)

Deep matrix factorization via feature subspace transfer for recommendation system
af: Weichen Wang, et al.
Udgivet: (2024-04-01)