Enhancing information retrieval performance by using social analysis
| Autor: | Youssef Ghanou, Abderrahim El Qadi, Hamid Khalifi, Sarah Dahir |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Information retrieval
Exploit Computer science Communication Association (object-oriented programming) 02 engineering and technology Quality of results Computer Science Applications Human-Computer Interaction Social analysis Work (electrical) 020204 information systems 0202 electrical engineering electronic engineering information engineering Media Technology 020201 artificial intelligence & image processing Social information Information Systems |
| Zdroj: | Social Network Analysis and Mining. 10 |
| ISSN: | 1869-5469 1869-5450 |
| DOI: | 10.1007/s13278-020-00635-w |
| Popis: | In recent decades, researchers have realized that social networks are important sources for adhering to the evolution of many aspects of Information Retrieval (IR). These social networks have produced vast amounts of important information that are not covered by traditional IR systems. This improvement, which has become one of the main applications of IR, offers several social features such as the conversational exchange and the share of opinions by users, and the association of users with the same interests. This work introduces a model of Social Information Research that takes into account social information on users and exploits them as a second source of information for a given query. In the proposed IR system, the quality of results improved by the analysis of user’s needs and by comparing other users’ social data. |
| Databáze: | OpenAIRE |
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