PinnedJeffery chiangA New Data Approach in Time Series AnalysisEmpower the data structure, Enhance the data processMay 29, 2022May 29, 2022
Jeffery chiangBook Recommendation with Retrieval Augmented Generation — Part IIn the ever-evolving landscape of book discovery, traditional recommendation systems often fall short. Large language models (LLMs) offer…May 30May 30
Jeffery chiangRepeating Pattern Enhanced Music RecommendationHave you ever found yourself repeatedly listening to the same song, only to discover later that other music you might enjoy exists…Mar 7Mar 7
Jeffery chiangSelf Attention on Recommendation System — Self-Attentive Sequential Recommendation ReviewRecommendation systems are powerful tools used in many industries, analyzing how people interact with items to predict their preferences…Feb 161Feb 161
Jeffery chiangRecommender System Literature Review 2019–2023In the ever-expanding realm of digital information, recommendation systems have become the unsung heroes that guide us through the vast…Feb 51Feb 51
Jeffery chiangIntroduction to ETL and GCP basicIn today’s data-driven world, organizations are continuously grappling with massive amounts of information scattered across multiple…Jun 9, 2023Jun 9, 2023
Jeffery chiangGolang Project Structure Beginner Guide 2022Formatted project lowers the maintenance cost and learning curveOct 1, 20221Oct 1, 20221
Jeffery chiangTime Series Modelling with a New Data ApproachEmpower the data structure, Enhance the data processJul 4, 2022Jul 4, 2022
Jeffery chiangPySpark CheatSheet and MoreApache Spark and Apache Hadoop are both open-source frameworks for big data processing. Spark can be 100x faster than Hadoop for large…Dec 30, 2021Dec 30, 2021
Jeffery chiangGirvan–Newman — The Clustering Technique in Network Analysis Part 2Girvan-Newman method separates the network based on the betweenness of the edges.Dec 20, 20211Dec 20, 20211
