text: Title: [BUG] SAR needs to be modified due to a breaking change in scipy
  Body: ### Description
  <!--- Describe your issue/bug/request in detail -->
  With scipy 1.10.1, the item similarity matrix is a dense matrix
  ```
  print(type(model.item_similarity))
  print(type(model.user_affinity))
  print(type(model.item_similarity) == np.ndarray)
  print(type(model.item_similarity) == scipy.sparse._csr.csr_matrix)
  print(model.item_similarity.shape)
  print(model.item_similarity)
  
  <class 'numpy.ndarray'>
  <class 'scipy.sparse._csr.csr_matrix'>
  True
  False
  (1646, 1646)
  [[1.         0.10650888 0.03076923 ... 0.         0.         0.        ]
   [0.10650888 1.         0.15104167 ... 0.         0.00729927 0.00729927]
   [0.03076923 0.15104167 1.         ... 0.         0.         0.01190476]
   ...
   [0.         0.         0.         ... 1.         0.         0.        ]
   [0.         0.00729927 0.         ... 0.         1.         0.        ]
   [0.         0.00729927 0.01190476 ... 0.         0.         1.        ]]
  ```
  
  but with scipy 1.11.1 the item similarity matrix is sparse
  ```
  print(type(model.item_similarity))
  print(type(model.user_affinity))
  type(model.item_similarity) == np.ndarray
  type(model.item_similarity) == scipy.sparse._csr.csr_matrix
  print(model.item_similarity.shape)
  <class 'numpy.ndarray'>
  <class 'scipy.sparse._csr.csr_matrix'>
  ()
  ```
  
  
  ### In which platform does it happen?
  <!--- Describe the platform where the issue is happening (use a list if needed) -->
  <!--- For example: -->
  <!--- * Azure Data Science Virtual Machine. -->
  <!--- * Azure Databricks.  -->
  <!--- * Other platforms.  -->
  Related to https://github.com/microsoft/recommenders/issues/1951
  
  ### How do we replicate the issue?
  <!--- Please be specific as possible (use a list if needed). -->
  <!--- For example: -->
  <!--- * Create a conda environment for pyspark -->
  <!--- * Run unit test `test_sar_pyspark.py` with `pytest -m 'spark'` -->
  <!--- * ... -->
  
  ### Expected behavior (i.e. solution)
  <!--- For example:  -->
  <!--- * The tests for SAR PySpark should pass successfully. -->
  
  ### Other Comments
  We found that the issue was that during a division in Jaccard, scipy change the type. We talked to the authors of scipy and they told us that they did a breaking change in 1.11.0 https://github.com/scipy/scipy/issues/18796#issuecomment-1619125257
  
  
  
  
  