Semantic system for searching of employees
Mariya Evtimova-Gardair, Tasho Tashev

TL;DR
This paper proposes a semantic information search system designed to help new employees quickly learn about colleagues' roles and the company structure, reducing onboarding stress and improving integration.
Contribution
It introduces a novel semantic search system tailored for employee information retrieval to enhance onboarding efficiency in organizations.
Findings
Improves accuracy of employee information retrieval
Reduces onboarding time for new employees
Enhances organizational knowledge sharing
Abstract
Many people have stress to leave their job and start a new one because of the new environment and not enough knowledge about the culture and structure about the new organization they are going to work in. New employees in company normally need to integrate in their working place environment quicker to start doing their job. That makes them ask a lot of questions to their colleagues and sometimes their colleagues are too busy to answer those questions. In the literature is defined that this problem could be solved when new employees use digital system for information as the proposed system for searching of information. Furthermore, the quality of the returned results from the searching system is defined as a standard for the efficiency of the searching systems. Because of this, it is proposed a semantic system for searching information of employees in a company that will help to better…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsCollaboration in agile enterprises · Robotics and Automated Systems · Power Systems and Technologies
