TAVSIYALAR TIZIMI (RECOMMENDATION SYSTEMS) VA AMALIY MISOLLAR
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https://doi.org/10.5281/zenodo.20389402;
Tavsiyalar tizimi, Recommendation System, Collaborative Filtering, Content-Based Filtering, Hybrid Model, Sun’iy intellekt, Machine Learning, Elektron tijorat, Netflix, YouTube, Spotify, Maqsadli marketing, Foydalanuvchi xatti-harakati, Katta ma’lumotlar (Big Data), Shaxsiylashtirilgan tavsiyalar.Abstrak
Ushbu maqolada tavsiyalar tizimlari (Recommendation Systems) va ularning zamonaviy axborot texnologiyalaridagi o‘rni tahlil qilinadi. Tavsiyalar tizimi foydalanuvchilarning qiziqishlari, xatti-harakatlari va oldingi faoliyatiga asoslanib, ularga mos mahsulot, xizmat yoki kontentni tavsiya etuvchi intellektual tizim hisoblanadi. Tadqiqot davomida collaborative filtering, content-based filtering, hybrid recommendation va deep learning asosidagi tavsiya modellarining ishlash prinsiplari, matematik asoslari hamda samaradorligi ko‘rib chiqiladi. Shuningdek, har bir modelning afzalliklari, kamchiliklari va amaliy qo‘llanilish sohalari tahlil etiladi.Iqtiboslar
Corchado, J. M., and B. Lees. “Case-base reasoning recommendation system.” IEEE COLLOQUIUM ON KNOWLEDGE DISCOVERY. LONDON, UK. 1996.[1:15]
Gabrani, Goldie, Sangeeta Sabharwal, and Viomesh Kumar Singh. «Artificial intelligence based recommender systems: A survey.» International Conference on Advances in Computing and Data Sciences. Springer, Singapore, 2016. [3:23]
Rashid, Al Mamunur, George Karypis, and John Riedl. «Learning preferences of new users in recommender systems: an information theoretic approach.» Acm Sigkdd Explorations Newsletter 10.2 (2008): 90-100.[4:36]
Recommender Systems Handbook — Springer, New York, 2015.
Introduction to Information Retrieval — Cambridge University Press, 2008.[1:45]
Pattern Recognition and Machine Learning — Springer, 2006.
Machine Learning — McGraw-Hill Education, 1997.
Google ning rasmiy sun’iy intellekt platformasi: Google ML Kit
TensorFlow Official Documentation — Machine Learning va recommendation system modellari uchun ochiq platforma.
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