Provide a brief evaluation of the different types of machine learning methods that can be used to improve the recommendation system, and ultimately, the

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Provide a brief evaluation of the different types of machine learning methods that can be used to improve the recommendation system, and ultimately, the output generated by the algorithm. In your response, address the following: In what ways could the output of the current algorithm be improved? Mention at least two ways in which the algorithm could be improved. Which other learning approach or approaches could be used to generate a movie recommendation system? Substantiate your answer. Your answer should not exceed 300 words. * Microsoft Azure Machine Learning Studio ELGOD E Da De Fe Ma Du P R WITH W De Movie recommendation engine Movie recommendation engine> Select Columns in Dataset > Results dataset 3 Moe Name Talaash (2012) Oblivion (2013) Another Earth (2011) Iron Man (2008) Dans la maison (2012) Jamine (2011) The Rum Diary 2011) Stoker (2013) The Ward (2010) Prisoners (2013) The Book Thief (2013 Neds (2010) Scrooged (1988) Movie Name World 2 (2013) ack Reacher (2012) Ted (2012) Groundhog Day (1993) American Hustle (2013) Fast & Furious 6 (2013) Pain & Gain (2013) Elysium (2013) Suchmubi (2004) Cinderella Man (2005) Slumdog Milionare 2000 The Counselor (2013) Superman (1980) Movie Name ( Yeh Jawaani Hai Deewan (2013) K-PAX (2001) Paul (2010) Lock Stock and Twi Smoking Barrels (1998) The Great Gatsby (2013) Legenda No. 17 2018 Brothers (2009) Martha Marcy May Marlene (2011) Thor The Dark World (2013) Silver Linings Playbook (2012) Frozen (2013) Chernobyl Diaries (2012) Figure 1: Output of the clustering algorithm for the recommendation system.