Indian Regional Movie Dataset for Recommender Systems

نویسندگان

  • Prerna Agarwal
  • Richa Verma
  • Angshul Majumdar
چکیده

Indian regional movie dataset is the €rst database of regional Indian movies, users and their ratings. It consists of movies belonging to 18 di‚erent Indian regional languages and metadata of users with varying demographics. Œrough this dataset, the diversity of Indian regional cinema and its huge viewership is captured. We analyze the dataset that contains roughly 10K ratings of 919 users and 2,851 movies using some supervised and unsupervised collaborative €ltering techniques like Probabilistic Matrix Factorization, Matrix Completion, Blind Compressed Sensing etc. Œe dataset consists of metadata information of users like age, occupation, home state and known languages. It also consists of metadata of movies like genre, language, release year and cast. India has a wide base of viewers which is evident by the large number of movies released every year and the huge box-oce revenue. Œis dataset can be used for designing recommendation systems for Indian users and regional movies, which do not, yet, exist. Œe dataset can be downloaded from hŠps://goo.gl/EmTPv6.

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عنوان ژورنال:
  • CoRR

دوره abs/1801.02203  شماره 

صفحات  -

تاریخ انتشار 2018