A recommender system for basket items / by Nilanjan Das ; Thesis Supervisor: Prof. Dr. Axel-Cyrille Ngonga Ngomo, Prof. Dr. Gregor Engels, Advisor: Michael Röder, M. Sc. Paderborn, 2020
Content
- Introduction
- Recommender System
- Problem Definition
- Objectives and Challenges
- Related Work
- Structure of the Thesis
- Background
- Artificial Neural Network
- Feed Forward Neural Network
- Recurrent Neural Network (RNN)
- Long Short Term Memory (LSTM)
- Different optimizers used in LSTM
- RDF Graph
- XML Parsing
- Types of Recommender Systems
- Approach
- Implementation
- Evaluation
- Summary
- Bibliography