YIFEI ZHOU
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Collaborative Filtering Part 4: Graph-based Methods - II
2.4 Graph Algorithms
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Collaborative Filtering Part 2: Model-based Methods
1. Introduction In the last section, I have outlined the memory-based collaborative filtering approaches. This method aims to compute and compare the similarity between users and items and select the nearest neighbours as the recommendation results. As I mentioned, the data sparsity issue seems critical as the database capacity is...
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Collaborative Filtering Part 1: Memory-based Methods
1. Introduction As I mentioned in the last blog, collaborative filtering is a popular algorithm in recommender systems. This type of method makes automatic predictions about a user's interests by collecting and comparing preferences information from many users. The underlying assumption of the collaborative filtering approach is that if person...
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Introduction to Recommender Systems
1. Introduction Nowadays, with the development and popularity of e-commerce platforms, more and more people tend to spend their time on the Internet to satisfy their requirements, such as online shopping and entertainment, including movies, music, games and books. Even in search engines like Google and Yahoo, the system automatically...