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Peer Recommendation Model Using KNN

Year: 2025

Type: article

Abstract: Peer recommendation systems connect individuals based on shared interests or skills. This paper proposes a K-Nearest Neighbors (KNN) based approach to recommend peers for professional networking. Our method prioritizes both skill similarity and diversity, fostering well-rounded teams with complementary expertise. The evaluation demonstrates promising results, achieving high accuracy in skill matching while promoting diverse connections.

Source: International Journal for Research in Applied Science and Engineering Technology

DOI: 10.22214/ijraset.2025.68175

Author: Kartik Singla

Language: English

Topic: Recommender Systems and Techniques

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4410540246

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