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Bookmark Record and Recommend

kkforsharing.blogspot.com
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Overview

Compute recommendations from bookmarks and browsing history, with interfaces for push and analysis.

GitHub(Issue/PR): https://github.com/Browser-bookmark-hub/Bookmark-Record-Recommend ────────────────────────── A powerful extension built around Bookmark Records, Smart S-Score Recommendations, and AI Push & Analyze: it computes bookmark records, active time, click rankings, related history, and recommendation signals locally, then lets you download or push the “raw data + computed results” to GitHub so AI can analyze them out-of-the-box with AGENTS.md / CLAUDE.md rules. It is also an ecosystem-related project for [Bookmark-Canvas](https://github.com/Browser-bookmark-hub/Bookmark-Canvas), with [exported JSON files] compatible with Bookmark Canvas import formats for temporary sections and notes. 1. Bookmark Records (Data Pool) - Active Time Tracking: Tracks your actual active reading time spent on bookmarked pages. - Usage Stats: Collects and reviews bookmark additions, click rankings, related browsing history, and time rankings. - Context Search: Quickly find target records, historical timelines, and contextual clues with one unified search box. 2. Bookmark Recommendations (S-Score Pool) - Formula-Driven Algorithm: Surfaces forgotten high-value bookmarks through S-Score parameters fueled by the Data Pool. - Review Manager: Fully control your recommendation flow with “Review Later”, “Skip”, and “Block”. 3. AI Push & Analyze (Local Computation Result Pool) - Local Precomputation: Computes records, rankings, relations, and recommendation signals locally to reduce the AI’s raw-data burden. - One-Click Push: Download or push the “raw data + computed results” to GitHub as traceable data packages. - Out-of-the-Box Analysis: Let AI read structured outputs directly and analyze them with AGENTS.md / CLAUDE.md rules. ────────────────────────── v0.4.8 > [!NOTE] > - **Export ecosystem expansion**: Push & Analyze and manual exports can target GitHub, local files, or both. GitHub manual exports are organized under `manual-export/<category>/<date>/` and remain separate from normal sync and pull flows. Related Records now supports right-click context exports for any item, configurable before/after ranges, and preserved orange-selection semantics; Click Ranking adds single-item exports. > - **UX and documentation polish**: recommendation modes now include notes on backup/restore and S-score recalculation; favicon warm-up is capped at 150 unique domains; bookmark-event API audit and multilingual documentation groundwork were added.

Details

  • Version
    0.4.8
  • Updated
    July 18, 2026
  • Size
    1.19MiB
  • Languages
    2 languages
  • Developer
    Website
    Email
    xukw123123@gmail.com
  • Non-trader
    This developer has not identified itself as a trader. For consumers in the European Union, please note that consumer rights do not apply to contracts between you and this developer.

Privacy

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The developer has disclosed that it will not collect or use your data. To learn more, see the developer’s privacy policy.

This developer declares that your data is

  • Not being sold to third parties, outside of the approved use cases
  • Not being used or transferred for purposes that are unrelated to the item's core functionality
  • Not being used or transferred to determine creditworthiness or for lending purposes

Support

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