Fix sorting order in aspect score for Companion, ComparERSub (#684)

MacchiatoCreamCheese · web-flow · commit a995589d2b6e · 2026-03-29T07:22:45.000+07:00
diff --git a/cornac/models/companion/recom_companion.pyx b/cornac/models/companion/recom_companion.pyx
@@ -1026,7 +1026,7 @@ class Companion(Recommender):
                 np.repeat(range(n_items), n_top_aspects).reshape(
                     n_items, n_top_aspects
                 ),
-                ts3[:, :-1].argsort(axis=1)[::-1][:, :n_top_aspects],
+                ts3[:, :-1].argsort(axis=1)[:, ::-1][:, :n_top_aspects],
             ]
             item_scores = (
                 self.alpha * top_aspect_scores.mean(axis=1) + (1 - self.alpha) * ts3[:, -1]
diff --git a/cornac/models/comparer/recom_comparer_sub.pyx b/cornac/models/comparer/recom_comparer_sub.pyx
@@ -769,7 +769,7 @@ class ComparERSub(MTER):
                 np.repeat(range(self.num_items), n_top_aspects).reshape(
                     self.num_items, n_top_aspects
                 ),
-                ts3[:, :-1].argsort(axis=1)[::-1][:, :n_top_aspects],
+                ts3[:, :-1].argsort(axis=1)[:, ::-1][:, :n_top_aspects],
             ]
             known_item_scores = (
                 self.alpha * top_aspect_scores.mean(axis=1) + (1 - self.alpha) * ts3[:, -1]

Original file line number	Diff line number	Diff line change
`@@ -1026,7 +1026,7 @@ class Companion(Recommender):`
`1026`	`1026`	`np.repeat(range(n_items), n_top_aspects).reshape(`
`1027`	`1027`	`n_items, n_top_aspects`
`1028`	`1028`	`),`
`1029`		`- ts3[:, :-1].argsort(axis=1)[::-1][:, :n_top_aspects],`
	`1029`	`+ ts3[:, :-1].argsort(axis=1)[:, ::-1][:, :n_top_aspects],`
`1030`	`1030`	`]`
`1031`	`1031`	`item_scores = (`
`1032`	`1032`	`self.alpha * top_aspect_scores.mean(axis=1) + (1 - self.alpha) * ts3[:, -1]`
Original file line number	Diff line number	Diff line change
`@@ -769,7 +769,7 @@ class ComparERSub(MTER):`
`769`	`769`	`np.repeat(range(self.num_items), n_top_aspects).reshape(`
`770`	`770`	`self.num_items, n_top_aspects`
`771`	`771`	`),`
`772`		`- ts3[:, :-1].argsort(axis=1)[::-1][:, :n_top_aspects],`
	`772`	`+ ts3[:, :-1].argsort(axis=1)[:, ::-1][:, :n_top_aspects],`
`773`	`773`	`]`
`774`	`774`	`known_item_scores = (`
`775`	`775`	`self.alpha * top_aspect_scores.mean(axis=1) + (1 - self.alpha) * ts3[:, -1]`