Uniformity of Batch Job Recommendations and Real-time Recommendation

Author(s)	Sajid.M.Momin, Sahil Ajamuddin Mujawar, Sushil Bajirao Magadum, Abhijeet Paritekar
Country	India
Abstract	Collaborative filtering recommends items based on similarity measures between users and/or items. The basic assumption behind the algorithm is that users with similar interests have common preferences. There are a lot of applications where websites collect data from their users and use that data to predict the likes and dislikes of their users. This allows them to recommend the content that they like. Recommender systems are a way of suggesting similar items and ideas to a user’s specific way of thinking
Keywords	collaborative filtering, job recommendations, real-time recommendations
Field	Computer Applications
Published In	Volume 5, Issue 6, November-December 2023
Published On	2023-12-25
Cite This	Uniformity of Batch Job Recommendations and Real-time Recommendation - Sajid.M.Momin, Sahil Ajamuddin Mujawar, Sushil Bajirao Magadum, Abhijeet Paritekar - IJFMR Volume 5, Issue 6, November-December 2023. DOI 10.36948/ijfmr.2023.v05i06.8171
DOI	https://doi.org/10.36948/ijfmr.2023.v05i06.8171
Short DOI	https://doi.org/gs98wf

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