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metarank
A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
We’re building an open-source tool to do search/category/recommendation personalization https://github.com/metarank/metarank, eventually planning to create a business out of it. We have a small number of pilot projects with real feedback, but we rarely have a chance to see how new people interact with the service, as it’s self-hosted backend tool with no UI.
We have an idea to add anonymous analytics reporting to get a glimpse of real usage (and places where people are struggling to improve), but are concerned if it’s ethical or not to do such intrusive things.
Is it acceptable for an open-source project to have this type of tracking, considering our materialistic plans to transform it into a business?
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[P] Metarank - A low code Machine Learning tool that personalizes product listings, articles, recommendations, and search results in order to boost sales. A friendly Learn-to-Rank engine
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Show HN: 我们做了一个开源的个性化引擎 (Show HN: We made an open-source personalization engine)
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Show HN: We made an open-source personalization engine
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Metarank - A low code Machine Learning tool that personalizes product listings, articles, recommendations, and search results in order to boost sales. A friendly Learn-to-Rank engine
-
Metarank - A low code Machine Learning tool that personalizes product listings, articles, recommendations, and search results in order to boost sales. A friendly Learn-to-Rank engine