ScholarWorks@경상국립대학교

초록

Nowadays, overflowing data produced every second from the internet make people tobe difficult to search for the useful information. That’s why people have invented and developedunique tools that they get some relevant information. In this paper, the recommender system, one of the effective tools, is used and it helpsus to get the useful information that we want by using demographic information to predictnew items of interest. The demographic recommender system in this paper computes users’similarity using demographic information, age and gender. So we performed demographicanalysis on movie ratings on Internet Movie Database (IMDB) web site that movies arerated by thousands of people, where users submitted a movie rating after they watched a recent popular film. Meanwhile, we can understand that user’s ratings, among variousdeterminants of box office, is very essential factor in the study on recommendation of movie. This paper is aimed at analyzing movie average ratings directly given by film viewers,categorizing them into groups by sex and age, investigating the entire group and findingthe representative group by examining it with F-test and T-test. This result is used topromote and recommend for the target group only. Therefore, this study is considerably significant as presenting utilization for movie businessas well as showing how to analyze demographic information on movie ratings on the web.

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