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Five Recommendation Algorithms No Recommendation Engine Is Whole Without

27 pointsby kobarokoover 2 years ago

3 comments

carschnoover 2 years ago
I feel like these click-baity titles have finally reached a state in which they work inversely for me. I have recently noticed that I would never click on something that promises &quot;X things you must know&quot; because I have finally internalized that the article behind will be superficial and useless at best. The impulse of &quot;let&#x27;s at least skim it in case it includes something useful&quot;, that used to be triggered by the clickbait has disappeared almost entirely.<p>For this particular example, I wonder how it was upvoted. But I am not going to click on it for reasons stated above.
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charcircuitover 2 years ago
&gt;The most powerful recommendation algorithms are made especially for graph data<p>This isn&#x27;t true. The most powerful recommendation systems don&#x27;t use graph algorithms. What recommendation system is using breadth first search over vector search for doing candidate generation?
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bippingchipover 2 years ago
Not being familiar with recommendation engines at all, this article does a decent job showing some of the basics in a bird’s eye view, at least to my untrained eye.<p>That said, it’s still a promo piece for their graph database.
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