Information Retrieval Model: A Social Network Extraction Perspective
This addresses the challenge of enhancing information retrieval systems for users by incorporating social network data, though it appears incremental as it builds on existing extraction technologies.
The paper tackles the problem of integrating social network extraction into information retrieval by proposing a model that uses probability theory for semantic assignment, aiming to improve retrieval effectiveness.
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.