Title Details: | |
Intelligent Recommender Systems |
|
Other Titles: |
Data Mining, Information Retrieval, Machine Learning and Artificial Intelligence Algorithms |
Authors: |
Symeonidis, Panagiotis |
Subject: | MATHEMATICS AND COMPUTER SCIENCE > COMPUTER SCIENCE > INFORMATION MANAGEMENT > DATA MINING MATHEMATICS AND COMPUTER SCIENCE > COMPUTER SCIENCE > INFORMATION MANAGEMENT > INFORMATION STORAGE AND RETRIEVAL MATHEMATICS AND COMPUTER SCIENCE > COMPUTER SCIENCE > INTELLIGENT SYSTEMS MATHEMATICS AND COMPUTER SCIENCE > COMPUTER SCIENCE > INTELLIGENT SYSTEMS > BASIC MACHINE LEARNING MATHEMATICS AND COMPUTER SCIENCE > COMPUTER SCIENCE > INTELLIGENT SYSTEMS > ADVANCED MACHINE LEARNING |
Keywords: |
Recommender systems
Intelligent systems Machine learning Data mining Information Retrieval |
Description: | |
Abstract: |
This book is intended to cover a relatively new scientific field, which has not received the required attention of the lecturers in the Computer Science and Computer Engineering departments of the Greek Universities. This work presents in detail the most important algorithms of the last 20 years from the main scientific fields of Information Retrieval, Machine Learning, Data Mining and Artificial Intelligence, which have influenced and shaped Recommendation Systems. The timing of its publication can be described as mature, given that the author has been carrying out research work for almost 20 years (since 2005) in the scientific field of Recommendation Systems.
|
Linguistic Editors: |
Sakellarios, Michalis |
Technical Editors: |
Karatzidis, Dimitrios |
Graphic Editors: |
Symeonidis, Panagiotis |
Type: |
Postgraduate textbook |
Creation Date: | 04-01-2023 |
Item Details: | |
ISBN |
978-618-5726-37-9 |
License: |
Attribution - NonCommercial - ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
DOI | http://dx.doi.org/10.57713/kallipos-156 |
Handle | http://hdl.handle.net/11419/8906 |
Bibliographic Reference: | Symeonidis, P. (2023). Intelligent Recommender Systems [Postgraduate textbook]. Kallipos, Open Academic Editions. https://dx.doi.org/10.57713/kallipos-156 |
Language: |
Greek |
Consists of: |
1. Introduction to Recommender Systems 2. Collaborative Filtering Algorithms 3. Content-based Filtering Algorithms 4. Context-aware Recommender Systems 5. Matrix Factorization Algorithms 6. Machine Learning with Neural Nets 7. Deep Reinforcement Learning and Genetic Algorithms 8. Graph-based Recommender Systems 9. Evaluation Metrics 10. New Trends |
Number of pages |
356 |
Publication Origin: |
Kallipos, Open Academic Editions |
User comments | |
There are no published comments available! | |