HUJJATLARNI SO‘ROVGA TEGISHLILIK DARAJASIGA KO‘RA BAHOLASH

HUJJATLARNI SO‘ROVGA TEGISHLILIK DARAJASIGA KO‘RA BAHOLASH

Mualliflar

  • Do‘schanov Bekzod Davronbek o‘g‘li Toshkent Axborot Texnologiyalar Universiteti magistrant, duschanovbekzod17@gmail.com
  • Ochilboyev Umidjon Ilxom o‘g‘li Toshkent Axborot Texnologiyalar Universiteti magistrant, canc41946@gmail.com
  • Shamuratov Ulug‘bek Alisher uli Toshkent Axborot Texnologiyalar Universiteti magistrant, ulugbekshamuratov1219@gmail.com

Kalit so‘zlar:

Hujjat, so‘rov, indeks, TF-IDF, kosinus o‘xshashlik, vektor, atama.

Annotatsiya

Ushbu maqola hujjatlarni so‘rovga tegishlilik darajasiga ko‘ra baholash muammosini o‘rganadi. Maqolada tegishlilik baholashning asosiy mezonlari, mavjud usullar va ularning samaradorligi tahlil qilinadi, axborot qidirish tizimlarida hujjat-so‘rov mosligini aniqlashning zamonaviy yondashuvlari ko‘rib chiqiladi.

Foydalaniladigan adabiyotlar

Vektor fazo modeli hamda jumlalar o‘xshashligi o‘lchovlariga asoslangan savol − javob tizimi ishlab chiqish, Musayev Muhammadjon Mahmudovich, Ochilov Mannon Musinovich, Xolmatov Orzimurod, Abjalolovich, Narzullayev Oybek Otabek o‘g‘li, Raqamli Transformatsiya va Sun’iy Intellekt ilmiy jurnali, VOLUME 3, ISSUE 1, FEBRUARY 2025, ISSN: 3030-3346

Fan, H., and Qin, Y. (2018). “Research on Text Classification Based on Improved TF-IDF Algorithm” International Conference on Network, Communication, Computer Engineering (NCCE 2018), vol. 147

Understanding Inverse Document Frequency: On theoretical arguments for IDF, Stephen Robertson, Microsoft Research, 7 JJ Thomson Avenue Cambridge CB3 0FBUK, (and City University, London, UK).

Manning, C.D., Raghavan, P., & Schütze, H. (2008). Introduction to Information Retrieval. Cambridge: Cambridge University Press.

Joachims, T. (1997). A Probabilistic Analysis of the Rocchio Algorithm with TF-IDF for Text Categorization. ICML, 143–151.

Mannon Ochilov, Dilshod Jurayev, Oybek Narzullayev, Mаtndаgi tinish belgilаrini tiklаsh muаmmolаri vа yechimlаri, Computer linguistics: problems, solutions. 2024.

Zhao, K., & Mao, X.-L. Integrating ROUGE into Sentence Similarity Measures, Journal of Chinese Information Processing, 2017.

Beel, J., Gipp, B., Langer, S., Breitinger, C. "Research-paper recommender systems: a literature survey", International Journal on Digital Libraries, 2016.

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Nashr qilingan

2026-05-01 — Yangilangan 2026-05-23

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