A systematic literature review of solutions for cold start problem

Author:

Singh NeetuORCID,Singh Sandeep Kumar

Publisher

Springer Science and Business Media LLC

Reference105 articles.

1. Agrawal S, Devanur NR (2016) Linear contextual bandits with knapsacks. In: Advances in neural information processing systems, pp 3458–3466

2. Agarwal A, Hsu D, Kale S, Langford J, Li L, Schapire RE (2014) Taming the monster: a fast and simple algorithm for contextual bandits. In: International conference on machine learning

3. Aghdam ZK, Arasteh B (2017) An efficient method to generate test data for software structural testing using artificial bee colony optimization algorithm. Int J Softw Eng Knowl Eng 27(06):951–966

4. Alle R, Aranya A, Thakur A, Kadam AJ (2016) Effective bug triage using cold-start recommendation system. Int J Comput Appl 182(3):28–31

5. Al-Taani AT, Al-Sayadi SH (2022) Extractive text summarization of arabic multi-document using fuzzy C-means and Latent Dirichlet allocation. Int J Syst Assur Eng Manag 15:713

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