diff --git a/mobile/lib/face/db.dart b/mobile/lib/face/db.dart
index 308bb2854..ae72b39dd 100644
--- a/mobile/lib/face/db.dart
+++ b/mobile/lib/face/db.dart
@@ -163,12 +163,12 @@ class FaceMLDataDB {
   Future<Set<int>> getPersonIgnoredClusters(String personID) async {
     final db = await instance.asyncDB;
     // find out clusterIds that are assigned to other persons using the clusters table
-    final List<Map<String, dynamic>> maps = await db.getAll(
+    final List<Map<String, dynamic>> otherPersonMaps = await db.getAll(
       'SELECT $clusterIDColumn FROM $clusterPersonTable WHERE $personIdColumn != ? AND $personIdColumn IS NOT NULL',
       [personID],
     );
     final Set<int> ignoredClusterIDs =
-        maps.map((e) => e[clusterIDColumn] as int).toSet();
+        otherPersonMaps.map((e) => e[clusterIDColumn] as int).toSet();
     final List<Map<String, dynamic>> rejectMaps = await db.getAll(
       'SELECT $clusterIDColumn FROM $notPersonFeedback WHERE $personIdColumn = ?',
       [personID],
diff --git a/mobile/lib/services/machine_learning/face_ml/feedback/cluster_feedback.dart b/mobile/lib/services/machine_learning/face_ml/feedback/cluster_feedback.dart
index e8fa9a522..f68bf95a5 100644
--- a/mobile/lib/services/machine_learning/face_ml/feedback/cluster_feedback.dart
+++ b/mobile/lib/services/machine_learning/face_ml/feedback/cluster_feedback.dart
@@ -246,6 +246,7 @@ class ClusterFeedbackService {
   }) async {
     final faceMlDb = FaceMLDataDB.instance;
     final faceIDs = await faceMlDb.getFaceIDsForCluster(personClusterID);
+    final ignoredClusters = await faceMlDb.getPersonIgnoredClusters(p.remoteID);
     if (faceIDs.length < 2 * kMinimumClusterSizeSearchResult) {
       final fileIDs = faceIDs.map(getFileIdFromFaceId).toSet();
       if (fileIDs.length < kMinimumClusterSizeSearchResult) {
@@ -264,7 +265,7 @@ class ClusterFeedbackService {
     final EnteWatch watch = EnteWatch("ClusterFeedbackService")..start();
     final Map<int, Vector> clusterAvg = await _getUpdateClusterAvg(
       allClusterIdsToCountMap,
-      {},
+      ignoredClusters,
       minClusterSize: kMinimumClusterSizeSearchResult,
     );
     watch.log('computed avg for ${clusterAvg.length} clusters');
@@ -273,8 +274,8 @@ class ClusterFeedbackService {
     final List<(int, double)> suggestions = await calcSuggestionsMeanInComputer(
       clusterAvg,
       {personClusterID},
-      {},
-      0.34,
+      ignoredClusters,
+      0.32,
     );
 
     if (suggestions.isEmpty) {