@ariel25
data scientist
Nothing here yet.
Nothing here yet.
Apr 20, 2025 · 12 min read · What is the GCMC model? I referred to the GCMC paper to adapt the model for a real-world recommender system in this project. (Go to webpage) Let me briefly introduce GCMC based on this paper. GCMC stands for Graph Convolutional Matrix Completion and ...
Join discussionMar 20, 2025 · 7 min read · In this post, I share my experience of developing a recommendation system using Word2Vec and cosine similarity. I also describe the process of creating graph-structured data using the recommendation results and visualizing it. Preprocessing As a fi...
Join discussionMar 14, 2025 · 4 min read · Trial and Error in Developing a Visualization Environment with Docker and Kubernetes. Before developing a recommendation system, I decided to create a visualization report using Redash because it is convenient and performs efficiently. Redash is a fr...
Join discussionMar 11, 2025 · 5 min read · As a first step, I extract meaningful keywords from the review text. To do this, I first create an initial stop list to exclude certain words from the keyword list. Then, I filter out keywords shorter than two characters, as I believe most keywords s...
Join discussionMar 2, 2025 · 6 min read · Identify the data At first, I studied the entire data structure and data types. The ‘created_at’ column is in Unix timestamp format, so I need to convert it to PST time as shown below. # convert timestamp data to datetime (UTC) df['datetime_utc'] ...
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