An information search model for onlinesocial Networks - MOBIRSE

Ingeniería e Investigación

Gustavo Adolfo Ramírez¹  Iván Darío Cerón Moreno²  Jhon Alberto Astaiza Perafán²  Miguel Angel Niño Zambrano² 

[1] Full time Professor at School of Electronic.Universidad del Cauca, Popayan, Colombia.;Universidad del Cauca;

关键词: Ontologies;    user profile;    online social network;    information retrieval;    search model.;   

DOI  :  10.15446/ing.investig.v35n3.43991

来源: DOAJ

【 摘 要 】

Online Social Networks (OSNs) have been gaining great importance among Internet users in recent years.  These are sites where it is possible to meet people, publish, and share content in a way that is both easy and free of charge. As a result, the volume of information contained in these websites has grown exponentially, and web search has consequently become an important tool for users to easily find information relevant to their social networking objectives. Making use of ontologies and user profiles can make these searches more effective. This article presents a model for Information Retrieval in OSNs (MOBIRSE) based on user profile and ontologies which aims to improve the relevance of retrieved information on these websites. The social network Facebook was chosen for a case study and as the instance for the proposed model. The model was validated using measures such as At-k Precision and Kappa statistics, to assess its efficiency.

【 授权许可】

Unknown