# Jiarui-0410/real-time-recommendation-analytics

> 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.

- Magnitude: 4.1 out of 10 — Early signal
- Stars: 98 total · +44 stars today, ≈ 60 by evening
- Star trust: star growth looks organic
- Category: Data & analytics · Language: Python · Created: 2026-09-28 · Last push: 2026-09-29
- GitHub: https://github.com/Jiarui-0410/real-time-recommendation-analytics · Page: https://gitnova.dev/en/r/Jiarui-0410/real-time-recommendation-analytics

## 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

## Why it’s here

- 44 stars so far today, about 60 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 98 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #166.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 0
- Issues and pull requests: 0
- Watchers: 0
- Average over the last week: 38 per day
- Usual pace: too little history (under two weeks)
- Stars in the last hour (measured): 4

## Stars per day, last 4 days (oldest → newest, today is partial)

2026-09-27 … 2026-09-30: 0, 1, 54, 44

## Spotted in now

- Top new repositories this week: #166

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Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-09-30 17:31 UTC, updated every 30 minutes.