feat(server): "You might like" album/artist Home rows (#790)

Surface in-library albums/artists the listener doesn't actively spin but
is predicted to enjoy, derived from the same similarity + like-weighted
candidate engine that powers For-You — rolled up from track scores to
album/artist granularity. Built in the daily 3am BuildSystemPlaylists
pass, atomic-replaced alongside the system playlists, and read back by
/api/home (+ /api/home/index).

Cold-start gate: skips generation entirely below 20 distinct unskipped
tracks AND 5 distinct artists, so a thin profile ships empty rows rather
than near-random tiles.

- migration 0034: you_might_like_albums / you_might_like_artists (id+rank,
  CASCADE, per-user rank index).
- playlists/you_might_like.go: cold-start gate + similarity roll-up
  (sum-of-top-3 aggregation, per-artist album cap, daily-rotating via the
  same userIDHash jitter as For-You) + atomic-replace persist in the tx.
- recommendation/home.go: two new HomePayload sections with read-time
  cross-section dedup vs Most Played / Rediscover / Last Played, trimmed
  to 10 each.
- api: you_might_like_albums / you_might_like_artists on /api/home and
  /api/home/index, reusing albumRefFrom / artistRefFromCovered.
- tests: pure roll-up/aggregation/cap unit tests + DB-backed gate,
  sufficiency, and atomic-replace tests (all green vs real Postgres).

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

internal/api/home.go

@@ -30,6 +30,8 @@ func (h *handlers) handleGetHome(w http.ResponseWriter, r *http.Request) {
 		RediscoverArtists:   make([]ArtistRef, 0, len(data.RediscoverArtists)),
 		MostPlayedTracks:    make([]TrackRef, 0, len(data.MostPlayedTracks)),
 		LastPlayedArtists:   make([]ArtistRef, 0, len(data.LastPlayedArtists)),
+		YouMightLikeAlbums:  make([]AlbumRef, 0, len(data.YouMightLikeAlbums)),
+		YouMightLikeArtists: make([]ArtistRef, 0, len(data.YouMightLikeArtists)),
 	}
 	for _, row := range data.RecentlyAddedAlbums {
 		out.RecentlyAddedAlbums = append(out.RecentlyAddedAlbums, albumRefFrom(row.Album, row.ArtistName, 0, 0))
@@ -46,6 +48,12 @@ func (h *handlers) handleGetHome(w http.ResponseWriter, r *http.Request) {
 	for _, row := range data.LastPlayedArtists {
 		out.LastPlayedArtists = append(out.LastPlayedArtists, artistRefFromCovered(row.Artist, int(row.AlbumCount), row.CoverAlbumID))
 	}
+	for _, row := range data.YouMightLikeAlbums {
+		out.YouMightLikeAlbums = append(out.YouMightLikeAlbums, albumRefFrom(row.Album, row.ArtistName, 0, 0))
+	}
+	for _, row := range data.YouMightLikeArtists {
+		out.YouMightLikeArtists = append(out.YouMightLikeArtists, artistRefFromCovered(row.Artist, int(row.AlbumCount), row.CoverAlbumID))
+	}
 	writeJSON(w, http.StatusOK, out)
 }
 
@@ -78,6 +86,8 @@ func (h *handlers) handleGetHomeIndex(w http.ResponseWriter, r *http.Request) {
 		RediscoverArtists:   make([]string, 0, len(data.RediscoverArtists)),
 		MostPlayedTracks:    make([]string, 0, len(data.MostPlayedTracks)),
 		LastPlayedArtists:   make([]string, 0, len(data.LastPlayedArtists)),
+		YouMightLikeAlbums:  make([]string, 0, len(data.YouMightLikeAlbums)),
+		YouMightLikeArtists: make([]string, 0, len(data.YouMightLikeArtists)),
 	}
 	for _, row := range data.RecentlyAddedAlbums {
 		out.RecentlyAddedAlbums = append(out.RecentlyAddedAlbums, uuidToString(row.Album.ID))
@@ -94,6 +104,12 @@ func (h *handlers) handleGetHomeIndex(w http.ResponseWriter, r *http.Request) {
 	for _, row := range data.LastPlayedArtists {
 		out.LastPlayedArtists = append(out.LastPlayedArtists, uuidToString(row.Artist.ID))
 	}
+	for _, row := range data.YouMightLikeAlbums {
+		out.YouMightLikeAlbums = append(out.YouMightLikeAlbums, uuidToString(row.Album.ID))
+	}
+	for _, row := range data.YouMightLikeArtists {
+		out.YouMightLikeArtists = append(out.YouMightLikeArtists, uuidToString(row.Artist.ID))
+	}
 	writeJSON(w, http.StatusOK, out)
 }