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Research Article

EEO. 2021; 20(3): 3485-3490

Nullity Of Cold Start Problem In Recommender Systems: A Study

Ankita Nainwal, Bhaskar Pant, Garima Sharma, Mr. Amit Kumar Mishra.


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.

Key words: Cold start, Recommender Systems, Information flow, Case Studies.

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