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hologres-bsi-profile-analysis

Official

Fast, scalable BSI-based user profiling.

Data & Analytics#audience-segmentation#profile-analysis#bucketing#hologres#roaringbitmap#bsi
Authoraliyun
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Bit-sliced index (BSI) based user profiling and tag calculation for efficient audience analysis in Hologres. This approach enables fast cross-tag queries by combining Roaring Bitmaps for attribute tags with BSI for behavior tags.

Core Features & Use Cases

  • Efficient BSI-based computation of behavior tags (e.g., GMV, PV) together with Roaring Bitmap attribute tags.
  • Bucketing support to scale across large user bases and enable category/time-based analyses.
  • Use cases include audience segmentation, Top-K user queries, distribution statistics, and cross-tag analytics.

Quick Start

Load your data, build the UID dictionary and run a sample BSI analysis to validate the end-to-end workflow.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: hologres-bsi-profile-analysis
Download link: https://github.com/aliyun/hologres-ai-plugins/archive/main.zip#hologres-bsi-profile-analysis

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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