Knowledge based Recommendation System in Semantic Web - A Survey

Abstract

Knowledge based recommendation systems use knowledge about users and products to make recommendations. Knowledge-based recommendations are not dependent on the rating, nor do they have to gather information about a particular user to give recommendations. Knowledge acquisition is the most important task for constructing knowledge-based recommendation system. Acquired knowledge must be represented in some structured machinereadable form, e.g., as ontology to support reasoning about what products meets the user's requirements. In Semantic Web, knowledge is represented in the form of ontology. Representation of knowledge in structured form of ontology in Semantic Web makes the application of knowledge based recommendations system on Semantic Web very easy, as there is no need to construct knowledge base from scratch. Performance of knowledge based recommendations systems can be enhanced by exploiting ontology reasoning characteristics. This paper explores different techniques used to generate knowledge-based recommendations highlighting the advantages of knowledge based recommendation system over other recommendation techniques.

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

“…In addition, the structure and semantics defined by an ontology facilitate the creation of rules to generate recommendations based on explicitly specified constraint or rules. That is, elements that satisfy the rules with respect to a given set of user's requirements are generated as a recommendation [64].…”

Sistema de Recomendações Turísticas Utilizando Raciocínio Baseado em Casos e Geolocalização / Tourist Recommender System Using Case-Based Reasoning and Geolocation

“…O elemento Sistema de Recomendação contém métodos de filtragem e regras de similaridade, que são aferidos (transações) sobre os dados de entrada para gerar as recomendações ao usuário (SOUZA, 2012). recomendações (resolver novos problemas), os casos que correspondem a especificação (problema) do novo caso, são recuperados e a solução é adaptada para realizar a recomendação (resolver o problema) (AMEEN, 2019). O Knowledge-based baseado em restrições ou regras, gera recomendações baseadas em restrições ou regras explicitamente especificadas pelo usuário.…”

“…As regras fazem o mapeamento entre requisitos do usuário e as propriedades/características do item, a base do conhecimento consiste em requisitos do usuário, propriedades dos itens e regras. Itens que estão de acordo com as regras em relação a um determinado conjunto de requisitos são gerados como recomendação (AMEEN, 2019).…”

Injection of Knowledge in a Sourcing Recommender System

“…• Collaborative filtering [3]: It is based on the feedback (rating) on items provided by similar users. • Knowledge-based recommendation [4]: This approach consists in using ontologies to model knowledge about the user context, the item context and the domain. • Hybrid recommendation [5]: This approach combines the three above ones, to take advantage of the benefits of each of them.…”

“…The preliminary step of our approach is the construction of a vocabulary to capture the sourcing knowledge [6] by identifying and combining several relevant standard metadata repositories such as ESCO, 1 ROME, 2 NAF, 3 UNSPSC, 4 and CPF, 5 . Our sourcing vocabulary gathers 124040 concepts.…”