[hi_hi]

Has there been any research on how LLMs perform as recommendation engines?

I'd assume there isn't any algorithms provided weighted comparisons based on my viewing habits, but rather a fairly random list that looks like its based on my viewing habits.

Perhaps, in practice, the difference between those two is academic, but I'm really not keen on leveraging such a heavy everything model for such a specific use case, when something much simpler, and private, would suffice.

[fingerthieff]

I haven't looked into it too deep if I'm honest, I built this app solely because I find LLM TV and Movie recommendations to be leaps and bounds better than any other recommendation service I've ever used, I find most of them terrible unfortunately.

I just got tired of manually inputting the data and wanted a more automated approach. This recommendations system isn't extracting loads of data yet (like how often things are watched etc..) but instead a more birds eye view of your library and watch history to analyze.