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Everything about Knowledge-based recommender system
Knowledge-based recommender systems are a specific type of recommender system that are based on explicit knowledge about the item assortment, user preferences, and recommendation criteria. These systems are applied in scenarios where alternative approaches such as collaborative filtering and content-based filtering cannot be applied. Wikipedia →
🧠Start here: a 6-step reading path
- Read the overview: Knowledge-based recommender systemA 5-minute orientation
- Skim a recent paper: A Survey on Knowledge Graph-Based Recommender SystemsInfluential work since 2022
- Pick up a classic book: Statistical Atlases and Computational Models of the Heart. Imaging and Modelling ChallengesThe most-reprinted book on the subject
- Read the landmark paper: Social knowledge-based recommender system. Application to the movies domainCited 207 times
- Go sideways: Collaborative filteringA closely related topic
- Go sideways: Recommender systemA closely related topic
đź“– Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Social knowledge-based recommender system. Application to the movies domain
RecomMetz: A context-aware knowledge-based mobile recommender system for movie showtimes
Enhanced Multi-Task Learning and Knowledge Graph-Based Recommender System
A Knowledge Based Recommender System with Multigranular Linguistic Information
Path-Based Recommender System for Learning Activities Using Knowledge Graphs
Effective Knowledge Based Recommender System for Tailored Multiple Point of Interest Recommendation
Knowledge-based recommender systems: overview and research directions
Improving recommender system via knowledge graph based exploring user preference
🆕 Influential since 2022
A Survey on Knowledge Graph-Based Recommender Systems
Knowledge-Based Recommender System Using Artificial Intelligence for Smart Education
Usability Evaluation of a Knowledge Graph–Based Dementia Care Intelligent Recommender System: Mixed Methods Study
An attention mechanism and residual network based knowledge graph-enhanced recommender system
A knowledge graph-based recommender system for dementia care: Design and evaluation study
đź“š Books worth reading
Statistical Atlases and Computational Models of the Heart. Imaging and Modelling ChallengesOscar Camara · 2012
Promoting Adherence to Medical Treatment in Chronic Childhood IllnessDennis Drotar · 2000
Treaty Occupationay ToxicologySuelen Queiroz · 2010
Improving learning transfer in organizationsElwood F. Holton, Timothy T. Baldwin · 2003
PTAexamScott M. Giles · 2010
Semantic Web and Web ScienceJuanzi Li · 2013
Big Data AnalyticsSrinath Srinivasa · 2012
The Handbook of Training and Practice in Infant and Preschool Mental HealthKaren Moran Finello · 2005
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
đź”— Related topics
- Collaborative filtering Collaborative filtering (CF) is, besides content-based filtering, one of two major techniques used by recommender systems. Collaborative filtering has…
- Recommender system A recommender system, also called a recommendation engine or content discovery platform is a type of information filtering system that aims to suggest…
- Cold start (recommender systems) Cold start is a potential problem in computer-based information systems which involves a degree of automated data modelling. Specifically, it concerns…
- Matrix factorization (recommender systems) Matrix factorization is a class of collaborative filtering algorithms used in recommender systems. Matrix factorization algorithms work by decomposing…
- Accuracy barrier The accuracy barrier is a concept in recommender systems referring to limits in the practical usefulness of accuracy-based evaluation metrics. It describes…
- Knowledge-based configuration Knowledge-based configuration, also referred to as product configuration or product customization, is an activity of customising a product to meet the…
- Collaborative search engine Collaborative search engines (CSE) are web search engines and enterprise searches within company intranets that let users combine their efforts in information…
- Information filtering system An information filtering system is a system that removes redundant or unwanted information from an information stream using (semi)automated or computerized…