Metarank Alternatives

metarank reviews and mentions

• Ask HN: Is it ethical for open-source projects to have usage analytics tracking?
  1 project | news.ycombinator.com | 29 Aug 2022

  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?

• My Favorite Off-the-Shelf Data Science Repos, What Are Yours?
  3 projects | news.ycombinator.com | 22 Jun 2022
• [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
  1 project | /r/MachineLearning | 26 Mar 2022
• 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)
  1 project | /r/hnzh | 23 Mar 2022
• Show HN: We made an open-source personalization engine
  1 project | /r/WhileTrueCode | 23 Mar 2022
  1 project | /r/patient_hackernews | 23 Mar 2022
  1 project | /r/hackernews | 23 Mar 2022
  7 projects | news.ycombinator.com | 23 Mar 2022

  As people with heavy e-commerce background, we feel that the main pain point of typical old-school offline personalization solutions is that 80% of customers in medium-sized online stores are coming only once:

  * you have a very short window to adapt your store, as the visitor will never come back in the future.

  * even if you have zero past knowledge about a new visitor, there is still something to compare with other similar visitors: are they from mobile? Is it ios or android? Are they US? Is it a holiday now? Did they come from google search or facebook ad?

  * this knowledge is ephemeral and makes sense only within their current session. But a visitor can still do a couple of interactions like browsing different collections of items or clicking on search results, and it can also be taken into account.

  But compared to Amazon and Google, it's you who define which features should be used for the ranking and how long they are stored (see the "ttl" option on all feature extractors in our docs for details).

  For example, here is https://github.com/metarank/metarank/blob/master/src/test/re... the config of features used in the movie recommendations demo - in a most privacy-sensitive setup you can just drop all the "interacted_with" extractors and will get zero private data stored for each visitor.

• 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
  1 project | /r/kubernetes | 23 Mar 2022
  2 projects | /r/scala | 23 Mar 2022
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