У меня есть user's вектор «вкуса»:
+------+--------------------+
|userId| scaledFeatures|
+------+--------------------+
| 18|[0.0,0.0,0.0,0.0,...|
| 65|[0.0,0.0023910733...|
| 96|[0.0,0.0,0.005268...|
| 121|[0.0,0.0021253985...|
| 129|[0.0,0.0029224229...|
+------+--------------------+
И movie's векторы содержимого:
+-------+--------------------+
|movieId| scaledFeatures|
+-------+--------------------+
| 1|[1.0,0.0,0.0,0.0,...|
| 2|[1.0,0.0,0.0,0.0,...|
| 3|[0.0,0.0,0.0,0.0,...|
| 4|[0.0,0.0,0.0,0.0,...|
| 5|[0.0,0.0,0.0,0.0,...|
+-------+--------------------+
Как взять user's вектор вкуса по его userId и умножить на movie's таблицу содержимого в pyspark? чтобы я мог получить самые похожие фильмы, набрав movieId?