RECOMMEND SUITABLE JOBS IN CAREER-ORIENTED SOCIAL NETWORKING SITES USING ITEM-BASED COLLABORATIVE FILTERING ALGORITHM

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K. Lalitha

Abstract

Career-oriented social networking sites are particularly valuable for job seekers to get an appropriate line of work and helpful for spotters too to locate the correct possibility for a job. Job recommendation system causes job seekers to secure fitting positions coordinating with their profile. In this way, it very well may be considered as enrolment specialists moving toward a reasonable competitor at whatever point they have a fitting job for them Relevant jobs are those job postings on which a client may click, bookmark or answer to the selection representative. In this paper we proposed the item based collaborative filtering algorithm for social networking sites and also demonstrates the experimental results with their performance.

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Section
Articles