Feb 27, 2016 · Artificial Intelligence

How User‑Based Collaborative Filtering Powers Modern Recommendation Systems

This article explains the fundamentals of recommendation algorithms, focusing on user‑based collaborative filtering, similarity metrics, neighbor selection, scoring methods, practical implementation with the MovieLens dataset, and common challenges such as popularity bias and dirty data.

collaborative filteringmachine learningmovie recommendation

0 likes · 12 min read

How User‑Based Collaborative Filtering Powers Modern Recommendation Systems

Art of Distributed System Architecture Design

Jun 16, 2015 · Big Data

Social Network Analysis on Weibo: Label Propagation, User Similarity, Community Detection, Influence Ranking, and Spam User Identification

This article introduces a series of algorithms for analyzing the Weibo social network, including label propagation, LDA‑based user similarity, time‑aware and interaction‑aware similarity measures, community detection, influence ranking via PageRank variants, and methods for identifying spam users, illustrating how these techniques can be applied to large‑scale social media data.

Big DataSocial Network Analysisinfluence ranking

0 likes · 19 min read