A Recommender System for Linked Data

2012 ◽  
pp. 311-331 ◽  
Author(s):  
Roberto Mirizzi ◽  
Tommaso Di Noia ◽  
Eugenio Di Sciascio ◽  
Azzurra Ragone
Keyword(s):  
Recommender System ◽  
Linked Data

Recommender System based on linked Data

2019 ◽  
Author(s):  
Cristhian Figueroa ◽  
Juan Carlos Corrales ◽  
Maurizio Morisio
Keyword(s):  
Recommender System ◽  
Linked Data

scholarly journals Book Recommender System Using Linked Data for Improving Serendipity

2019 ◽  
Vol 29 (2) ◽  
pp. 164-169
Author(s):  
Renlou WENG ◽  
Masao TAKAKU
Keyword(s):  
Recommender System ◽  
Linked Data

Semantic Recommender System for Touristic Context Based on Linked Data

2015 ◽  
pp. 77-89 ◽  
Author(s):  
Luis Cabrera Rivera ◽  
Luis M. Vilches-Blázquez ◽  
Miguel Torres-Ruiz ◽  
Marco Antonio Moreno Ibarra
Keyword(s):  
Recommender System ◽  
Linked Data

scholarly journals BROAD-RSI – educational recommender system using social networks interactions and linked data

2018 ◽  
Vol 9 (1) ◽  
Author(s):  
Crystiam Kelle Pereira ◽  
Fernanda Campos ◽  
Victor Ströele ◽  
José Maria N. David ◽  
Regina Braga
Keyword(s):  
Social Networks ◽  
Recommender System ◽  
Linked Data

scholarly journals KB4Rec: A Data Set for Linking Knowledge Bases with Recommender Systems

2019 ◽  
Vol 1 (2) ◽  
pp. 121-136 ◽  
Author(s):  
Wayne Xin Zhao ◽  
Gaole He ◽  
Kunlin Yang ◽  
Hongjian Dou ◽  
Jin Huang ◽  
...  
Keyword(s):  
Recommender System ◽  
Linked Data ◽  
Side Information ◽  
Knowledge Bases ◽  
Data Sets ◽  
Data Set ◽  
System A ◽  
Recommendation Algorithms ◽  
Structured Knowledge ◽  
Existing Data

To develop a knowledge-aware recommender system, a key issue is how to obtain rich and structured knowledge base (KB) information for recommender system (RS) items. Existing data sets or methods either use side information from original RSs (containing very few kinds of useful information) or utilize a private KB. In this paper, we present KB4Rec v1.0, a data set linking KB information for RSs. It has linked three widely used RS data sets with two popular KBs, namely Freebase and YAGO. Based on our linked data set, we first preform qualitative analysis experiments, and then we discuss the effect of two important factors (i.e., popularity and recency) on whether a RS item can be linked to a KB entity. Finally, we compare several knowledge-aware recommendation algorithms on our linked data set.

Sign in / Sign up

Export Citation Format

Share Document