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This is exactly the problem with any recommendation engine, IME. They either: 1. Feed you nothing but content about something you looked at once. 2. Show you
by garciasn 3y ago
This is exactly the problem with any recommendation engine, IME. They either:
1. Feed you nothing but content about something you looked at once.
2. Show you stuff you already bought. No, I don't need another exact or very similar XYZ widget; show me something RELATED yet very different, thank you very much.
3. They show absolute garbage that is in no way related to what I like.
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Exhausting, really; and, probably why most people find AI/ML largely useless as it exists today.
- timy2shoes 3y agoFrom a practitioners perspective, I view this type of behavior as tuning the model more towards the exploitation side of the exploration/exploitation trade-off. I think a lot of recommendation engines do this (looking at you YouTube) because it’s more profitable.
- wongarsu 3y agoWhich at its core is probably an alignment problem in the way the models are evaluated: they are measured on their short-term effects, and there exploitation rules. But if you look at the long-term effect of recommendations you really need a healthy dose of exploration to keep your users around.