Year: 2012
Type: preprint
Abstract: Future Information Retrieval, especially in connection with the internet, will incorporate the content descriptions that are generated with social network extraction technologies and preferably incorporate the probability theory for assigning the semantic. Although there is an increasing interest about social network extraction, but a little of them has a significant impact to infomation retrieval. Therefore this paper proposes a model of information retrieval from the social network extraction.
Source: arXiv (Cornell University)
Institution: National University of Malaysia
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2949322281
