Development of a recommendation system for personalized book recommendations
Table Of Contents
- 1.Introduction
- 1.1Background
- 1.2Motivation
- 1.3Objectives
- 2.Literature Review
- 2.1Recommendation Systems
- 2.2Content-Based Filtering
- 2.3Collaborative Filtering
- 2.4Related Work
- 3.Data Collection and Preprocessing
- 3.1User Preferences
- 3.2Book Metadata
- 3.3Data Cleaning and Transformation
- 4.Recommendation Algorithm
- 4.1Content-Based Filtering
- 4.2Collaborative Filtering
- 4.3Hybrid Approaches
- 5.System Implementation
- 5.1User Interface Design
- 5.2Backend Architecture
- 5.3Integration with Book Databases
Thesis Abstract
Personalized recommendation systems play a vital role in enhancing user experience and engagement in various domains. This project aims to develop a recommendation system specifically tailored for personalized book recommendations. The system will leverage user preferences, reading history, and content analysis to provide accurate and relevant book recommendations to individual users.
Thesis Overview
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