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1—Wwater8394 / 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.JavaApache-2.0 · PermissiveInsufficient rank history4,4751,474——2026-10-26
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