I have viewed my feed in gossip (gossip lets you view a relay's global feed) and it was tailored to me.
One note seemed strangely irrelevant (not very connected to me nor reacted to much).
It appeared to me that as I went down the feed, there were fewer events per time period, and those had to be much more popular (based on reactions). Which makes sense.
I'd love an English description of the algorithm.
Mike Dilger /
npub1ac…9p35c
2024-10-18 20:27:02
in reply to nevent1q…thhw
Author Public Key
npub1acg6thl5psv62405rljzkj8spesceyfz2c32udakc2ak0dmvfeyse9p35cPublished at
2024-10-18 20:27:02Event JSON
{
"id": "00006a3cce4020e1729e5fcb321eac8d7ad9b682791f493b0185478dfad1289c",
"pubkey": "ee11a5dff40c19a555f41fe42b48f00e618c91225622ae37b6c2bb67b76c4e49",
"created_at": 1729283222,
"kind": 1,
"tags": [
[
"p",
"e2ccf7cf20403f3f2a4a55b328f0de3be38558a7d5f33632fdaaefc726c1c8eb"
],
[
"e",
"2a21ab0da2b7f9d25f0b1a723020836d010c85f5debb4045e16717a3cde5ea7d",
"wss://algo.utxo.one/",
"root",
"e2ccf7cf20403f3f2a4a55b328f0de3be38558a7d5f33632fdaaefc726c1c8eb"
],
[
"nonce",
"17678129737304988496",
"16"
]
],
"content": "I have viewed my feed in gossip (gossip lets you view a relay's global feed) and it was tailored to me.\n\nOne note seemed strangely irrelevant (not very connected to me nor reacted to much).\n\nIt appeared to me that as I went down the feed, there were fewer events per time period, and those had to be much more popular (based on reactions). Which makes sense.\n\nI'd love an English description of the algorithm.",
"sig": "ffcce5c94d88256df9978a60438644ee9bbef53866f615213923f93f87a141bc09dbbea0339def1196cc8748f1e647efe807e3c39cf8e42883ef1f0462bf20dd"
}