IJSRET » June 27, 2024

Daily Archives: June 27, 2024

Uncategorized

Theoretical Framework on Accounting for Planet

Theoretical Framework on Accounting for Planet
Authors:-Assistant Professor Ravi Kiran N

Abstract-Planet accounting is one of the very important and contemporary topics as it addresses the impact of business on the environment. In today’s world planet is of utmost important and every organisation must strive to uplift the quality of the planet and not deteriorating it. Planet accounting helps making business responsible from environmental point of view. Present study tries explore the concept of Accounting for planet, by describing various branches and its relevance to the current scenario. Further, study also tries to explain importance of each branch and how can one adopt those methods for the benefit of both organisation, society and Environment. Ultimately, study explains how an accountant can successfully implement accounting for planet in an organisation.

DOI: 10.61137/ijsret.vol.10.issue3.168

Published by:
Uncategorized

Enhancing Job Recommendation Systems through Machine Learning: A Comprehensive Analysis of Skill Sync Job Recommendation System

Enhancing Job Recommendation Systems through Machine Learning: A Comprehensive Analysis of Skill Sync Job Recommendation System
Authors:-Rupali Sharma, Rupam Maji, Mudabbir Shazan, Rutika Khose, Nidhi Gaikar

Abstract-This study explores the efficacy of employing advanced algorithms and machine learning techniques within job recommendation systems, focusing on precise matching between user profiles and job descriptions. By incorporating factors such as skills, experience, and industry trends, the system optimizes career recommendations, aligning with individual preferences and professional goals. Leveraging resume parsing for user profiles and machine learning algorithms like collaborative filtering for job matching, alongside natural language processing for enhanced understanding, the system offers tailored suggestions. It integrates an email notification system and dynamically generates personalized content, thereby enhancing the job recommendation experience.

DOI: 10.61137/ijsret.vol.10.issue3.167

Published by:
× How can I help you?