title: Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Telegram-Ð±Ð¾ÑÐ°, ÑÐµÐ°Ð»Ð¸Ð·ÑÑÑÐµÐ³Ð¾ ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐµÐ»ÑÐ½ÑÑ ÑÐ¸ÑÑÐµÐ¼Ñ Ð¿Ð¾ Ð¿Ð¾Ð´Ð±Ð¾ÑÑ ÐºÐ½Ð¸Ð³
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: The development of a Telegramâbot that implements the recommendation system for selecting books
Creators: name: ÐÐ¾ÑÐ¾Ð±ÐºÐ¸Ð½Ð°, ÐÐ»ÐµÐºÑÐ°Ð½Ð´ÑÐ°
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2024
Subjects: ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐµÐ»ÑÐ½Ð°Ñ ÑÐ¸ÑÑÐµÐ¼Ð°
Telegram
ÑÐ°Ñ-Ð±Ð¾Ñ
ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ñ ÑÐµÐºÑÑÐ¾Ð²
ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐ¸Ñ ÐºÐ½Ð¸Ð³
recommendation system
chatbot
text classification
book recommendation

description: ÐÐ±ÑÐµÐºÑÐ¾Ð¼ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ ÑÐ²Ð»ÑÑÑÑÑ ÑÐ°Ñ-Ð±Ð¾ÑÑ Ð¸ ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐµÐ»ÑÐ½ÑÐµ ÑÐ¸ÑÑÐµÐ¼Ñ. ÐÑÐµÐ´Ð¼ÐµÑ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ â ÑÐµÑÐ½Ð¾Ð»Ð¾Ð³Ð¸Ð¸ Ð¸ Ð¸Ð½ÑÑÑÑÐ¼ÐµÐ½ÑÑ ÑÐ¾Ð·Ð´Ð°Ð½Ð¸Ñ ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐµÐ»ÑÐ½ÑÑ Ð´Ð¸Ð°Ð»Ð¾Ð³Ð¾Ð²ÑÑ ÑÐ¸ÑÑÐµÐ¼. Ð¦ÐµÐ»ÑÑ Ð´Ð°Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÑ ÑÐ²Ð»ÑÐµÑÑÑ ÑÐ¾Ð·Ð´Ð°Ð½Ð¸Ðµ Telegram-Ð±Ð¾ÑÐ°, ÑÐµÐ°Ð»Ð¸Ð·ÑÑÑÐµÐ³Ð¾ ÐºÐ½Ð¸Ð¶Ð½ÑÑ ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐµÐ»ÑÐ½ÑÑ ÑÐ¸ÑÑÐµÐ¼Ñ. Ð Ð¿ÑÐ¾ÑÐµÑÑÐµ ÑÐ°Ð±Ð¾ÑÑ Ð±ÑÐ»Ð¸ ÑÐ°ÑÑÐ¼Ð¾ÑÑÐµÐ½Ñ Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ð¸Ðµ Ð¸ ÑÐ°Ð·Ð»Ð¸ÑÐ½ÑÐµ ÑÐ¿Ð¾ÑÐ¾Ð±Ñ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ ÑÐ°Ñ-Ð±Ð¾ÑÐ¾Ð². ÐÐ·ÑÑÐµÐ½Ñ Ð½ÐµÐ¾Ð±ÑÐ¾Ð´Ð¸Ð¼ÑÐµ ÑÑÐ½ÐºÑÐ¸Ð¸ Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ¸ ÐµÑÑÐµÑÑÐ²ÐµÐ½Ð½Ð¾Ð³Ð¾ ÑÐ·ÑÐºÐ° Ð¸ Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½ Ð°Ð½Ð°Ð»Ð¸Ð· ÑÑÑÐµÑÑÐ²ÑÑÑÐ¸Ñ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð² ÑÐ¸ÑÑÐµÐ¼ ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐ¸Ð¹. Ð Ð°ÑÑÐ¼Ð¾ÑÑÐµÐ½Ñ Ð·Ð°Ð´Ð°ÑÐ° Ð¸ Ð¼ÐµÑÐ¾Ð´Ñ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ ÑÐµÐºÑÑÐ¾Ð². Ð¢Ð°ÐºÐ¶Ðµ Ð±ÑÐ»Ð¸ Ð¸Ð·ÑÑÐµÐ½Ñ Ð¸ Ð¿ÑÐ¾Ð°Ð½Ð°Ð»Ð¸Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ñ ÑÑÑÐµÑÑÐ²ÑÑÑÐ¸Ðµ ÐºÐ½Ð¸Ð¶Ð½ÑÐµ ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐµÐ»ÑÐ½ÑÐµ ÑÐµÑÐ²Ð¸ÑÑ. ÐÑÐ» ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½ ÑÐ°Ñ-Ð±Ð¾Ñ Ð² Telegram, ÑÐ¾Ð·Ð´Ð°Ð½Ð½ÑÐ¹ Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ ÑÐ·ÑÐºÐ° Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Python Ð¸ Ð±Ð°Ð·Ñ Ð´Ð°Ð½Ð½ÑÑ PostgreSQL. Ð§Ð°Ñ-Ð±Ð¾Ñ ÑÐ¿Ð¾ÑÐ¾Ð±ÐµÐ½ Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÑÑÑ Ð¸Ð½ÑÐµÐ½Ñ Ð·Ð°Ð¿ÑÐ¾ÑÐ° Ð¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°ÑÐµÐ»Ñ Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ Ð¼ÐµÑÐ¾Ð´Ð° Ð¾Ð¿Ð¾ÑÐ½ÑÑ Ð²ÐµÐºÑÐ¾ÑÐ¾Ð² Ð¸ Ð²ÑÐ´Ð°Ð²Ð°ÑÑ Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð° ÐºÐ¾Ð½ÑÐµÐ½ÑÐ½Ð¾Ð¹ ÑÐ¸Ð»ÑÑÑÐ°ÑÐ¸Ð¸ ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐ¸Ð¸ Ð¿Ð¾ÑÐ¾Ð¶Ð¸Ñ ÐºÐ½Ð¸Ð³. Ð¢Ð°ÐºÐ¶Ðµ Ð² ÑÐ°Ñ-Ð±Ð¾ÑÐµ ÐµÑÑÑ Ð²Ð¾Ð·Ð¼Ð¾Ð¶Ð½Ð¾ÑÑÑ ÑÑÐ°Ð½Ð¸ÑÑ ÑÐ¿Ð¸ÑÐ¾Ðº Ð»ÑÐ±Ð¸Ð¼ÑÑ ÐºÐ½Ð¸Ð³ Ð¸ Ð¿Ð¾Ð»ÑÑÐ°ÑÑ ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐ¸Ð¸ Ð½Ð° ÐµÐ³Ð¾ Ð¾ÑÐ½Ð¾Ð²Ðµ Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ ÑÐ¾Ð²Ð¼ÐµÑÑÐ½Ð¾Ð¹ ÑÐ¸Ð»ÑÑÑÐ°ÑÐ¸Ð¸. ÐÑÐ»Ð¾ Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½Ð¾ ÑÐµÑÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ ÑÐ°Ð±Ð¾ÑÑ ÑÐ°Ñ-Ð±Ð¾ÑÐ°, Ð¾ÑÐµÐ½ÐµÐ½Ñ Ð¿Ð¾Ð»ÑÑÐ°ÐµÐ¼ÑÐµ ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐ¸Ð¸ Ð¸ Ð²ÑÐµÐ¼Ñ ÑÐ°Ð±Ð¾ÑÑ. Ð ÐµÐ·ÑÐ»ÑÑÐ°ÑÐ¾Ð¼ ÑÐ°Ð±Ð¾ÑÑ ÑÐ²Ð»ÑÐµÑÑÑ Telegram-Ð±Ð¾Ñ, ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´ÑÑÑÐ¸Ð¹ ÐºÐ½Ð¸Ð³Ð¸ Ð¸ÑÑÐ¾Ð´Ñ Ð¸Ð· Ð·Ð°Ð¿ÑÐ¾ÑÐ° Ð¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°ÑÐµÐ»Ñ Ð»Ð¸Ð±Ð¾ ÑÐ¿Ð¸ÑÐºÐ° ÐµÐ³Ð¾ Ð»ÑÐ±Ð¸Ð¼ÑÑ ÐºÐ½Ð¸Ð³. Ð§Ð°Ñ-Ð±Ð¾Ñ Ð¼Ð¾Ð¶ÐµÑ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°ÑÑÑÑ ÐºÐ½Ð¸Ð¶Ð½ÑÐ¼Ð¸ Ð¼Ð°Ð³Ð°Ð·Ð¸Ð½Ð°Ð¼Ð¸ Ð´Ð»Ñ Ð¾Ð½Ð»Ð°Ð¹Ð½-ÐºÐ¾Ð½ÑÑÐ»ÑÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ ÐºÐ»Ð¸ÐµÐ½ÑÐ¾Ð², Ð¸Ð»Ð¸ Ð¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°ÑÐµÐ»ÑÐ¼Ð¸, Ð¶ÐµÐ»Ð°ÑÑÐ¸Ð¼Ð¸ Ð¿Ð¾Ð»ÑÑÐ¸ÑÑ Ð¿ÐµÑÑÐ¾Ð½Ð°Ð»ÑÐ½ÑÐµ ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐ¸Ð¸ ÐºÐ½Ð¸Ð³.
description: The object of the study is chatbots and recommendation systems. The subject of the research is technologies and tools for creating recommendation dialog systems. The purpose of this work is to create a Telegram bot that implements a book recommendation system. In the course of the work, the concept and various ways of classifying chatbots were considered. The necessary functions of natural language processing have been studied and the analysis of existing algorithms of recommendation systems has been carried out. The tasks and methods of text classification are considered. The existing book recommendation services were also studied and analyzed. A Telegram chatbot was created using the Python programming language and the PostgreSQL database. The chatbot is able to determine the intent of a users request using the support vector machine and provide recommendations of similar books using a content filtering algorithm. The chatbot also has the ability to store a list of favorite books and receive recommendations based on it using collaborative filtering. The chatbot was tested, the recommendations received and the working time were evaluated. The result of the work is a Telegram bot that recommends books based on the users request or a list of his favorite books. The chatbot can be used by bookstores to provide online advice to customers, or by users who want to receive personalized book recommendations.