Nullity Of Cold Start Problem In Recommender Systems: A Study

Authors

  • Ankita Nainwal
  • Bhaskar Pant
  • Garima Sharma
  • Amit Kumar Sharma

Keywords:

Cold start, Recommender Systems, Information flow, Case Studies.

Abstract

Gearing on to initiate for exploration in new horizons many a times poses a little standstill move. The inertia of stillness probably arises due to multifaceted factors such as economic instability, lack of introspection, inability to map various avenues and so on; however, in
general there arises no such sphere an individual is ignorant. Somehow a fundamental platform is always present to increment on its future enhancement; it is just a matter of associating various domains and infer out the real prospect in its realm. On that note, one of
the open issues of recommender system i.e., cold start is itself undermining the associations lying beneath it. An individual, an item or a community is never a radical invention in its parlance, instead a legacy of the past accommodating the present and unavoidable
amendments to surf in present and retain in future. The conducted study represents the view and justifies through various case studies that in real life scenario a new domain are never new in its aspects rather a link of previous ascribed or achieved presence incorporating incremental findings.

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Published

2023-12-15

How to Cite

Ankita Nainwal, Bhaskar Pant, Garima Sharma, & Amit Kumar Sharma. (2023). Nullity Of Cold Start Problem In Recommender Systems: A Study . Elementary Education Online, 20(3), 3485–3490. Retrieved from https://ilkogretim-online.org/index.php/pub/article/view/2727

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