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water8394 / flink-recommandSystem-demo

:helicopter::rocket: A real-time product recommendation system based on Flink. Flink counts product popularity, puts it into redis cache, analyzes log information, and puts portrait tags and real-time records into Hbase. After the user initiates a recommendation request, the popularity list is reordered according to user portraits, and the two recommendation modules of collaborative filtering and tags are combined to add associated products to each product in the newly generated list, and finally a new user list is returned.

Repository stars
4,478All-time #13,621
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1,476
Last push
updated 11 days ago
Repository created
since 2019
Apps & systemsGeneralJavaApache-2.0 · Permissive
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Summarised by AI from the README; the original prevails

Author description: :helicopter::rocket: A real-time product recommendation system based on Flink. Flink counts product popularity, puts it into redis cache, analyzes log information, and puts portrait tags and real-time records into Hbase. After the user initiates a recommendation request, the popularity list is reordered according to user portraits, and the two recommendation modules of collaborative filtering and tags are combined to add associated products to each product in the newly generated list, and finally a new user list is returned.

Basic listing based on official public information; functionality has not been independently evaluated.

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Star trend

4,4754,4774,47811-03 · 4,47511-06 · 4,47810-0810-1310-1810-2310-2811-0211-06
Raw observations · 2
Historical observations
Measured atRepository starsSource
2026-11-06 14:02 UTC4,478Source
2026-11-03 09:36 UTC4,475Source

First collected 2026-11-03Measured at 2026-11-06 14:02 UTCSourceLicense source

Compiled from public project information; not independently tested. · Repository stars, not unique users or individual-skill installs · License tiers are derived from metadata. Check obligations for your use; unknown does not mean prohibited.