A HYBRID APPROACH FOR A RECOMMENDATION SYSTEM FOR SELECTING LITERATURE

The paper presents a hybrid approach to the development of a recommendation system for the selection of fiction. Various methods for analyzing user preferences and book characteristics based on content and collaborative filtering in combination with natural language processing methods are considered. Their main features, advantages and disadvantages are given. The TF-IDF method is used to analyze books, the KNN algorithm is used to model user preferences, and Sentiment Analysis is used to process reviews. A comparison of approaches is provided.

Authors

Publication Details

Published
2025-06-15
DOI
https://doi.org/10.21667/978-5-7722-0426-9-109-113
Primary Topic
Advanced Text Analysis Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A HYBRID APPROACH FOR A RECOMMENDATION SYSTEM FOR SELECTING LITERATURE

T.E. Stepanova, I.Yu. Filatov
Advanced Text Analysis Techniques
article

A HYBRID APPROACH FOR A RECOMMENDATION SYSTEM FOR SELECTING LITERATURE

T.E. Stepanova, I.Yu. Filatov
article en

Abstract

The paper presents a hybrid approach to the development of a recommendation system for the selection of fiction. Various methods for analyzing user preferences and book characteristics based on content and collaborative filtering in combination with natural language processing methods are considered. Their main features, advantages and disadvantages are given. The TF-IDF method is used to analyze books, the KNN algorithm is used to model user preferences, and Sentiment Analysis is used to process reviews. A comparison of approaches is provided.

Openalex Percentile: Top 88%
Advanced Text Analysis Techniques
DOISourceOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A HYBRID APPROACH FOR A RECOMMENDATION SYSTEM FOR SELECTING LITERATURE — T.E. Stepanova, I.Yu. Filatov · (2025) | TGRS Research Map | TGRS