title: Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Telegram-Ð±Ð¾ÑÐ°, ÑÐµÐ°Ð»Ð¸Ð·ÑÑÑÐµÐ³Ð¾ Ð¿Ð¾Ð´Ð±Ð¾Ñ ÐºÐ½Ð¸Ð³ Ð´Ð»Ñ Ð¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°ÑÐµÐ»ÐµÐ¹ Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ Ð¸Ñ Ð¿ÑÐµÐ´Ð¿Ð¾ÑÑÐµÐ½Ð¸Ð¹
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 selection of books for users on their preferences
Creators: name: ÐÐµÑÐµÑÑÐ¾Ð²Ð°, Ð¢Ð°ÑÑÑÐ½Ð°
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: 2022
Subjects: ÑÐ°Ñ-Ð±Ð¾Ñ
ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐµÐ»ÑÐ½ÑÐµ ÑÐ¸ÑÑÐµÐ¼Ñ
Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ° ÐµÑÑÐµÑÑÐ²ÐµÐ½Ð½Ð¾Ð³Ð¾ ÑÐ·ÑÐºÐ°
ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ñ ÑÐµÐºÑÑÐ¾Ð²
Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
chatbot
recommender systems
natural language processing
text classification
machine learning

description: ÐÐ°Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¾ÑÐ½Ð¾ÑÐ¸ÑÑÑ Ðº ÑÑÐµÑÐµ ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐµÐ»ÑÐ½ÑÑ ÑÐ¸ÑÑÐµÐ¼ Ð¸ ÑÐ¾Ð²ÑÐµÐ¼ÐµÐ½Ð½ÑÑÂ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð¾Ð±ÑÐµÐ½Ð¸Ñ. ÐÐ±ÑÐµÐºÑÐ¾Ð¼ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ ÑÐ²Ð»ÑÑÑÑÑ Ð¿Ð¾Ð´ÑÐ¾Ð´Ñ Ðº ÑÐ¾Ð·Ð´Ð°Ð½Ð¸Ñ ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐµÐ»ÑÐ½ÑÑÂ ÑÐ¸ÑÑÐµÐ¼, Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ñ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ ÑÐµÐºÑÑÐ¾Ð² Ð¸ Ð¼ÐµÑÐ¾Ð´Ñ Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ¸ ÐµÑÑÐµÑÑÐ²ÐµÐ½Ð½Ð¾Ð³Ð¾Â ÑÐ·ÑÐºÐ°. Ð¦ÐµÐ»Ñ ÑÐ°Ð±Ð¾ÑÑ â ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° ÑÐ°Ñ-Ð±Ð¾ÑÐ°, Ð¾Ð±ÑÐ°ÑÑÐµÐ³Ð¾ÑÑ Ñ Ð¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°ÑÐµÐ»ÑÐ¼Ð¸ Ð½Ð°Â ÐµÑÑÐµÑÑÐ²ÐµÐ½Ð½Ð¾Ð¼ ÑÐ·ÑÐºÐµ Ð¸ ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´ÑÑÑÐµÐ³Ð¾ ÐºÐ½Ð¸Ð³Ð¸ Ð¿Ð¾ Ð¸Ñ Ð·Ð°Ð¿ÑÐ¾ÑÐ°Ð¼. Ð ÑÐ¾Ð´Ðµ Ð²ÑÐ¿Ð¾Ð»Ð½ÐµÐ½Ð¸Ñ ÑÐ°Ð±Ð¾ÑÑ Ð±ÑÐ»Ð¸ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ñ Ð²Ð¸Ð´Ñ ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐµÐ»ÑÐ½ÑÑ ÑÐ¸ÑÑÐµÐ¼Â Ð¸ Ð¸Ñ Ð¿Ð¾ÑÑÑÐ¾ÐµÐ½Ð¸Ðµ, Ð¸Ð·ÑÑÐµÐ½Ñ Ð¼ÐµÑÐ¾Ð´Ñ Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ¸ ÐµÑÑÐµÑÑÐ²ÐµÐ½Ð½Ð¾Ð³Ð¾ ÑÐ·ÑÐºÐ° Ð¸ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼ÑÂ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ ÑÐµÐºÑÑÐ¾Ð². Ð§Ð°Ñ-Ð±Ð¾Ñ Ð¾Ð±ÑÑÐµÐ½ ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°ÑÑ Ð¸Ð½ÑÐµÐ½ÑÑ Ð¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°ÑÐµÐ»ÐµÐ¹ Ð½Ð°Â Ð¾ÑÐ½Ð¾Ð²Ðµ Ð¼Ð¾Ð´ÐµÐ»Ð¸ Ð»Ð¾Ð³Ð¸ÑÑÐ¸ÑÐµÑÐºÐ¾Ð¹ ÑÐµÐ³ÑÐµÑÑÐ¸Ð¸. ÐÐ° Ð¾ÑÐ½Ð¾Ð²Ðµ Ð³Ð¸Ð±ÑÐ¸Ð´Ð½Ð¾Ð³Ð¾ Ð¿Ð¾Ð´ÑÐ¾Ð´Ð°, Ð²ÐºÐ»ÑÂ­ÑÐ°ÑÑÐµÐ³Ð¾ ÑÐ¾Ð²Ð¼ÐµÑÑÐ½ÑÑ Ð¸ ÐºÐ¾Ð½ÑÐµÐ½ÑÐ½ÑÑ ÑÐ¸Ð»ÑÑÑÐ°ÑÐ¸Ñ, ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð° ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐµÐ»ÑÐ½Ð°ÑÂ ÑÐ¸ÑÑÐµÐ¼Ð° ÐºÐ½Ð¸Ð³. ÐÑÐ¾Ð²ÐµÐ´ÐµÐ½Ð¾ ÑÐµÑÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ ÑÑÐµÐ½Ð°ÑÐ¸ÐµÐ² ÑÐ°Ñ-Ð±Ð¾ÑÐ°, Ð° ÑÐ°ÐºÐ¶Ðµ Ð¾ÑÐµÐ½ÐºÐ° Ð²ÑÐµÐ¼ÐµÐ½Ð¸Â Ð¾ÑÐºÐ»Ð¸ÐºÐ° Ð½Ð° ÑÐ¾Ð¾Ð±ÑÐµÐ½Ð¸Ñ Ð¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°ÑÐµÐ»Ñ Ð¸ Ð¾ÑÐµÐ½ÐºÐ° ÑÐ¾ÑÑÐ°Ð²Ð»ÐµÐ½Ð½ÑÑ ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐ¸Ð¹.Ð ÐµÐ·ÑÐ»ÑÑÐ°ÑÐ¾Ð¼ ÑÐ°Ð±Ð¾ÑÑ ÑÐ²Ð»ÑÐµÑÑÑ ÑÐ°Ð±Ð¾ÑÐ¸Ð¹ Ð¸ Ð¿ÑÐ¾ÑÐµÑÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð½ÑÐ¹ ÑÐ°Ñ-Ð±Ð¾Ñ, Ð¾Ð±ÑÐ°ÑÂ­ÑÐ¸Ð¹ÑÑ Ñ Ð¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°ÑÐµÐ»ÑÐ¼Ð¸ Ð² Telegram Ð½Ð° ÐµÑÑÐµÑÑÐ²ÐµÐ½Ð½Ð¾Ð¼ ÑÐ·ÑÐºÐµ Ð¸ ÑÐ¿Ð¾ÑÐ¾Ð±Ð½ÑÐ¹ ÑÐ¾Ð·Ð´Ð°Ð²Ð°ÑÑÂ ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐ¸Ð¸ ÐºÐ½Ð¸Ð³ Ð´Ð»Ñ Ð¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°ÑÐµÐ»ÐµÐ¹.
description: This work belongs to the sphere of recommender systems and modern methodsÂ of communication. The object of research is approaches to the creation of recommender systems, textÂ classification algorithms and natural language processing methods. The purpose of the work is to develop a chatbot that communicates with users inÂ natural language and recommends books on their requests.In the course of the work, the types of recommender systems and the principles ofÂ their creation were examined, natural language processing methods and text classificationÂ algorithms were studied. The chatbot is trained to recognize user intents based on aÂ logistic regression model. Based on a hybrid approach that includes collaborative andÂ content filtering, a book recommendation system has been developed. Chatbot scenariosÂ were tested, also the response time to user messages and generated recommendationsÂ was evaluated. The result is a working and tested chatbot that communicates with users onÂ Telegram in natural language and can create book recommendations for users.