Innovations in Science and Technologies Volume 1 Issue 1 (2024) · pp. 98-103

COLD START PROBLEM IN RECOMMENDATION SYSTEMS: CHALLENGES AND POTENTIAL SOLUTIONS

G’ulomov, Doniyor, Kutlimuratov, Alpamis

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Abstract

Recommendation systems are instrumental in today's digital platforms, enhancing user experience by personalizing content. However, one of the significant challenges they face is the "cold start" problem, referring to the dilemma of making accurate recommendations for new users or items without sufficient historical data. This paper explores the intricacies of the cold start problem, its implications, and potential solutions.

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APA 7 
G’ulomov, Doniyor & Kutlimuratov, Alpamis (2024). COLD START PROBLEM IN RECOMMENDATION SYSTEMS: CHALLENGES AND POTENTIAL SOLUTIONS. Innovations in Science and Technologies, 1(1), 98-103.
GOST R 7.0.5 
G’ulomov, Doniyor, Kutlimuratov, Alpamis COLD START PROBLEM IN RECOMMENDATION SYSTEMS: CHALLENGES AND POTENTIAL SOLUTIONS // Innovations in Science and Technologies. 2024. Т. 1. № 1. С. 98-103.
BibTeX 
@article{doniyor2024,
  author  = {G’ulomov, Doniyor and Kutlimuratov, Alpamis},
  title   = {COLD START PROBLEM IN RECOMMENDATION SYSTEMS: CHALLENGES AND POTENTIAL SOLUTIONS},
  journal = {Innovations in Science and Technologies},
  year    = {2024},
  volume  = {1},
  number  = {1},
  pages   = {98-103}
}
RIS 
TY  - JOUR
AU  - G’ulomov, Doniyor
AU  - Kutlimuratov, Alpamis
TI  - COLD START PROBLEM IN RECOMMENDATION SYSTEMS: CHALLENGES AND POTENTIAL SOLUTIONS
JO  - Innovations in Science and Technologies
PY  - 2024
VL  - 1
IS  - 1
SP  - 98
EP  - 103
ER  -