interest-discovery

Yes, Hatena Bookmark recommendations can be personalized by adding specific topics to your interest profile. The skill stores these interests persistently and updates them over time, ensuring that future content discovery becomes more accurate and aligned with your preferences.

You can manage your interest profile using built-in subcommands to add, remove, list, or view specific topics. This allows you to curate the semantic data used for web scraping and recommendation matching, ensuring the content discovery engine only surfaces relevant articles.

Yes, you can find Hatena Bookmark articles using specific keywords instead of relying on a stored profile. The recommendation engine supports direct keyword queries, allowing you to discover trending content on demand without needing to configure your interest profiling data first.

Yes, the Hatena Bookmark discovery engine persistently stores your interests across multiple searches. By updating your user profile over time, the personalization engine enhances future recommendation accuracy, ensuring that content discovery improves as you continue to interact with the system.

The limitations of using web scraping for Hatena Bookmark recommendations include a strict dependency on the platform's available data and semantic matching capabilities. Content discovery accuracy is constrained by how well your interest profile aligns with trending article metadata extracted during the scraping process.