Chengdu University uses algorithms to recommend matching roommates for freshmen. How to treat the model of big data house selection?
It's the annual school season. For many freshmen, many things are new, and interpersonal communication in college is also very important, especially roommates, who are key figures in their college life. Many students have had the idea of choosing their own roommates, but this idea has never been realized. Now in Chengdu University, they can realize this idea of choosing their own roommates. Through big data, you can match your roommate. This big data housing selection model is still very good. You can choose a roommate with similar personality to yourself, which can reduce the contradiction between roommates. In college, it can be said that you spend the most time with your roommates. If you can meet a roommate who gets along well, you will be very happy. If you meet a roommate whose living conditions are completely opposite to your own, it will also make your dormitory life very bad. Choosing a roommate is also important. Many people have the idea of choosing a roommate, but it didn't come true in school. Now Chengdu University has realized this idea of students, just fill out a questionnaire. I think this model of big data house selection is still very good, which can make people choose the right roommates, so that dormitory life will be more harmonious and there will be no frequent conflicts because of different roommates' living habits. You should choose this way of choosing a room, so that you can choose a roommate that suits you and a dormitory that suits you. This will make your dormitory life happier, and you will not quarrel with your roommate because of a little thing, which will make your dormitory life more harmonious. The model of big data housing selection is indeed a very good model, and all universities should try this model. Only in this way can dormitory life be more harmonious and the contradiction between roommates be reduced.