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A review of recommender systems based on knowledge graph ...


A review of recommender systems based on knowledge graph ...

A KG-based recommender system generally consists of KG, recommendation module, and connection module. Among them, the KG stores rich semantic ...

A review of recommender systems based on knowledge graph ...

The knowledge graph can be used as effective auxiliary information to solve the cold-start problems, but it is only applicable to the situation when some new ...

A Review of Knowledge Graph Recommendation Systems Based on ...

In the era of artificial intelligence, how recommendation algorithms can accurately and effectively solve the problem of matching individuals' interests and ...

Review of Recommendation Systems Based on Knowledge Graph

推荐系统通过对大规模群体数据学习,实现用户群体特征匹配,从而帮助用户有效地从海量数据中识别出感兴趣的内容,现阶段已经被应用于各行各业,从音乐、新闻、视频等娱乐活动, ...

A review of recommender systems based on knowledge graph ...

Extensive experiments were conducted with four real-world datasets and state-of-the-art baseline methods. The results show that MTRDKG ...

A Survey on Knowledge Graph-Based Recommender Systems

To solve the cognitive overlord problem and information explosion, recommender systems have been using to model the user interest.

A Survey on Knowledge Graph-Based Recommender Systems - arXiv

In this paper, we conduct a systematical survey of knowledge graph-based recommender systems. We collect recently published papers in this field ...

A Review of Knowledge Graph Recommendation Systems Based on ...

Knowledge Graph Completion using Structural and Textual Embeddings ... Knowledge Graphs (KGs) are widely employed in artificial intelligence ...

Recommender systems based on graph embedding techniques - arXiv

... Recommender systems based on graph embedding techniques: A comprehensive review. ... recommender systems with graph ... graphs and knowledge graphs, ...

A SURVEY ON KNOWLEDGE GRAPH-BASED RECOMMENDER ...

These systems leverage interconnected datasets known as knowledge graphs to enhance the accuracy and personalization of recommendations. A ...

A Systematic Review of Deep Knowledge Graph-Based ... - MDPI

Recommender systems (RS) have been developed to make personalized suggestions and enrich users' preferences in various online applications to address the ...

Research Summary of Recommendation System Based on ...

This article will systematically review the knowledge graph-based recommendation system from three aspects: knowledge graph, rec- ommendation system, and ...

A Personalized Recommender System Based-on Knowledge Graph ...

Recently, the application of knowledge graphs has grown in popularity within the field of recommender systems and decision support systems for ...

A review of recommender systems based on knowledge graph ...

Movie Big Data Intelligent Recommendation System Based on Knowledge Graph. In2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big ...

A Comprehensive Survey of Knowledge Graph-Based - ProQuest

Currently, research related to recommender systems has increased considerably, creating new recommendation methods and combining different algorithms, ranging ...

Graph Learning based Recommender Systems: A Review - IJCAI

As one of the most promising machine learning tech- niques, GL has shown great potential in deriving knowledge embedded in different kinds of ...

[PDF] A Comprehensive Survey of Knowledge Graph-Based ...

A Comprehensive Survey of Knowledge Graph-Based Recommender Systems: Technologies, Development, and Contributions.

A review of recommender systems based on knowledge graph ...

In recent years, incorporating knowledge graphs as side information to recommender systems by knowledge graph embedding techniques has attracted considerable ...

A Review of Recommendation System Research based on ...

This paper introduces four aspects of recommendation technology based on knowledge graphs: recommendation algorithm, evaluation metrics, datasets, and models.

Deep recommendation system based on knowledge graph and ...

In Drs-kgrt, knowledge graph, review text and the social records between users are used as auxiliary information to improve recommendation ...