Bookmarks

Bookmarks let you save articles that you want to revisit. RSSMonster calls bookmarked articles Favorites in the interface, so the Favorites collection is where you can quickly rediscover everything you have saved.

Bookmarks are also a strong signal of explicit interest. RSSMonster uses them, together with behavior such as clicks, deeper reads, positive feedback, and negative feedback, when it builds and recalibrates your interest islands.

Bookmark an Article

To bookmark an article:

1. Select the three-dot Article actions button on the article.
2. Select Mark as favorite.

The menu action changes to Unmark favorite after the article is saved. Use it to remove the article from your bookmarks.

You can also press S while an article is selected to toggle its favorite status. See Keyboard Shortcuts for the complete keyboard reference.

Find Your Bookmarks

Select Favorites in the sidebar to see bookmarked articles. Bookmarks remain available independently of whether an article is read or unread, making this collection useful for research, reference material, recipes, tutorials, and anything else you may want to find again later.

Bookmarks can also be included in a Search or Smart Folder query:

favorite:true

For example, this query shows bookmarked Nintendo articles ordered by quality:

favorite:true Nintendo sort:quality

The legacy alias star:true has the same effect. See the Search Guide and Smart Folders for more ways to build saved views around bookmarks.

Assign Bookmarks Automatically

Automation rules can mark matching incoming articles as favorites during a feed crawl. This is useful when you consistently want to save articles about a particular subject, project, person, or source.

In Settings → Automation, add an action with:

• a descriptive name;
• Set favorite as the action type; and
• a regular expression that identifies matching articles.

For example, [Nn]intendo|[Zz]elda bookmarks incoming articles when either term appears in the title, HTML or plain-text body, description, or URL.

Automation rules apply while incoming articles are processed. They are not a retroactive search over articles already stored in your library. If you only want a dynamic view without changing bookmark state, create a Smart Folder instead.

Bookmarks and Interest Islands

Interest islands represent recurring areas of interest inferred from your reading behavior. A bookmark contributes positive engagement evidence because it is an explicit decision to retain an article.

RSSMonster combines that signal with other interactions rather than assuming that one bookmark defines an entire interest. Repeated, related engagement can strengthen a behavioral topic and help form or update an interest island. Those islands can then support personalized relevance and recommendations.

Bookmark articles you genuinely value: doing so improves both your saved library and the behavioral signals RSSMonster can use to understand your interests.