Olatunbosun Olabode

Work place: Department of Computer Science, Federal University of Technology, Akure,Nigeria



Research Interests: Computational Learning Theory, Artificial Intelligence


Olabode Olatunbosun is a lecturer in the department of computer science, Federal University of Technology, Akure, Nigeria where he assumes the position of a Reader. He had his bachelor of technology (1991), master of technology (1999) and doctor of philosophy all in computer science (2005) at Federal University of Technology, Akure, Nigeria. He is a member of Science Association of Nigeria. His research interests include, artificial intelligence, machine learning.

Author Articles
Enhanced E-recruitment using Semantic Retrieval of Modeled Serialized Documents

By Alaba T. Owoseni Olatunbosun Olabode B. A. Ojokoh

DOI: https://doi.org/10.5815/ijmsc.2017.01.01, Pub. Date: 8 Jan. 2017

Retrieval in existing e-recruitment system is on exact match between applicants' stored profiles and inquirer's request. These profiles are captured through online forms whose fields are tailored by recruiters and hence, applicants sometimes do not have privilege to present details of their worth that are not captured by the tailored fields thereby, leading to their disqualification. This paper presents a 3-tier system that models serialized documents of the applicants' worth and they are analyzed using document retrieval and natural language processing techniques for a human-like assessment. Its presentation tier was developed using java server pages and middle tier functionalities using web service technology. The data tier models résumés that have been tokenized and tagged using Brill Algorithm with my sequel. Within the middle tier, indexing was achieved using an inverted index whose terms are noun phrases extracted from résumés that have been tokenized and tagged using Brill Algorithm.

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