Jiarui-0410/real-time-recommendation-analytics

End-to-end retail analytics and recommendation platform using PySpark, Kafka, PostgreSQL, Power BI, PyTorch Two-Tower, Qdrant, FastAPI, Docker and Azure.

Data & analyticsPython

4.0 Early signal Magnitude out of 10 — how fast interest is growing, not a quality score. Star growth looks organic. Data as of September 30, 2026, 16:35 UTC.

Open on Seismograph Open on GitHub

About the project

End-to-end retail analytics and recommendation platform on the Retailrocket dataset: batch and streaming ETL with PySpark and Kafka, Power BI dashboards, a PyTorch Two-Tower model, Qdrant vector search, and a FastAPI recommendation service deployed to Azure.

Useful for

Build a batch and streaming pipeline for ecommerce events with PySpark and Kafka
Train a Two-Tower model and compare it against a popularity baseline on Top-10 metrics
Deploy a FastAPI recommendation service with Qdrant vector search and a popularity fallback for cold-start users

README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.

Why it’s trending

39 stars so far today, about 56 expected by the end of the day.
The spike has held for 2 days in a row — not a one-off blip.
The repository is 2 days old and already has 94 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
Top new repositories this week: #178.

Stars per day

Bars are daily stars, the line is the usual pace. Red marks spike days.

Numbers

Total stars: 94
Today: 39 · ≈ 56 by evening
Forks: 0
Issues and pull requests: 0
Watchers: 0
Language: Python
Created: September 28, 2026
Last push: September 29, 2026

Star trust

Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.

These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.

Spotted in

September 30, 2026Top new repositories this week: #178

README badge

Paste it into your README — the badge shows the current magnitude and links to this page.

[![Seismograph](https://gitnova.dev/badge/Jiarui-0410/real-time-recommendation-analytics.svg?lang=en)](https://gitnova.dev/en/r/Jiarui-0410/real-time-recommendation-analytics)

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