Towards Recommender System Optimization: Our Data Tool for A...

Towards Recommender System Optimization: Our Data Tool for Algorithmic Optimization on Spotify [Part 1]

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Unlocking Spotify Algorithms: Proven Strategies from 2 Years of Boosting Artist Visibility on Streaming Platforms

Recommendations kills Favorites: AI-driven recommendations transcend our historical go-to’s. Rather than compulsively saving playlists that i discover and love on Spotify, I’ve surrendered myself to the algorithms. It was really the radio feature plus the new “enhance” feature that did it. I now trust that any song I like leads to a playlist I will... See more

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How Recommendation Algorithms Actually Work | Future - https://future.com/forget-open-source-algorithms-focus-on-experiments-instead

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Thumbnail of How Recommendation Algorithms Actually Work | Future - https://future.com/forget-open-source-algorithms-focus-on-experiments-instead

This problem is almost impossible to fix in a culture that relies heavily on algorithms. The algorithm is, by definition, a repeating pattern that always looks backward. It does something in the future based on what worked in the past.

So the algorithm that recommends music or videos on a web platform will never deliver a totally fresh and new expe... See more

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Recommendation Algorithms Are a Necessary Evil (Sort Of)

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Spotify, for example, has invested heavily in its own curation services — both algorithmic and human — after finding that many of its listeners were baffled by superabundance, burdened by excessive choice and uninterested in charting their own paths through the digital wilderness.

Unlocking Spotify Algorithms: Proven Strategies from 2 Years of Boosting Artist Visibility on Streaming Platforms

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Recommendation Algorithms Are a Necessary Evil (Sort Of)

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