Based on personal preferences and living habits, Chengdu University uses algorithms to recommend matching roommates for freshmen! Netizen: It is recommended to promote it nationwide

​Produced by Big Data Digest

With the September semester starting, the university is about to welcome fresh blood.

When it comes to things to note when starting school, one thing that must be mentioned is to pray to heaven and earth for good roommates.

Living with roommates whose lifestyle habits are not in sync with you can be said to be very torture. For example, everyone has heard of or experienced similar incidents more or less:

There are currently six roommates in college, and only one of them is an only child (no discrimination intended). Her parents pamper her very much. They pick her up and drop her off every day. She also likes to talk very loudly and keeps talking on the phone when others are sleeping. She sleeps well and can't make a sound. If she makes a sound, she will curse at others.

#It is no exaggeration to say that good roommates are the standard for a good college life.

Is there any way to allow people with the same living and study habits to live together?

Recently, Chengdu University launched a service that uses "big data algorithm recommendation" to match roommates for freshmen. Freshmen simply fill out a questionnaire and are automatically assigned a dorm and suitable roommates.

Regarding this, a staff member of the school’s student dormitory management center said that this kind of “big data housing selection” has been planned since 2020 and will be officially implemented from this year. The room selection system will make recommendations based on the method of giving priority to students in the same class, followed by those from the same major, and then those from the same college, and will accurately recommend three roommates.

The entire questionnaire has a total of 8 questions. It was formed by collecting opinions from teachers and students in each college to select a part, and will be optimized later.

Conscientiously matched roommates, you can also choose a bed in advance

There are two modes in the Chengdu University orientation system, automatic room selection and manual room selection Choose a room.

Automatic room selection uses "big data" to automatically match roommates. Manual room selection includes three steps, namely building selection, room selection and bed selection. After selecting, click Just submit.

After selecting automatic room selection, students need to answer 8 questions in the questionnaire. Each question has two completely opposite options, such as under the question "Your social status" There are "social bull type" and "social fear type".

The system will also ask students whether they can accept the smell of durian, snail noodles and other foods.

Of course, some sports habits and living habits that often cause roommate conflicts must also be investigated clearly, such as students You can choose your favorite sports and bedtime.

In addition to accurate roommate recommendations based on personal preferences, freshmen can also choose their own beds and dormitories. The dormitories are large The screen also features real-time data showing the number of beds and roommates remaining.

Mama no longer has to worry about me competing for a bed when school starts.

Chengdu University can accommodate 4 people in a dormitory. After 4 people are successfully matched, you can discuss whether you are willing to live together. If you want to change people, you can also choose to live with other students. The school will actively negotiate. Online housing selection is currently only available to undergraduate students at Chengdu University and is not currently open to graduate students.

It is understood that Chengdu University’s online housing selection system is part of Chengdu University’s orientation system. The orientation system is designed to allow freshmen to have an understanding of the learning environment and living environment before entering the campus to study and live, and to allow freshmen to experience the university's information platform and information construction.

New students only need to scan the QR code on the admission notice to quickly enter the system. The orientation system not only includes online room selection, students can also purchase bedding and daily necessities on the orientation system. Suppliers will deliver offline to the corresponding freshman dormitories, making it easier for students who are too far away from home to quickly adapt to university life. .

The orientation system also supports a series of services such as online registration, information collection, financial payment, and textbook reservation.

Netizen: It is recommended to promote it nationwide

Such a humanized new student service has also caused a lot of discussion online.

Netizens generally express envy of this service of Chengdu University, especially the consistency of work and rest and air-conditioning use will really reduce a lot of conflicts. It seems that everyone is suffering from it. ah.

Many netizens also hope that this technology can be promoted nationwide.

#But some netizens pointed out that we should reflect on why other schools have not done this. Zhihu user @CosmoWarGod Guo Fengxiao pointed out that the reason behind this is that students are not the main body of the school. Since students continue to be in a state of depression, "it is inevitable for the school to adopt the method of randomly allocating dormitories."

"Algorithmic matching may be just a whim of a certain teacher in the school and does not represent the overall attitude of the school. The students will thank him, but the school will not pay him more bonuses."

Some netizens also pointed out that this kind of questionnaire survey by Chengdu University cannot be called big data.

Zhihu user @runzhujiaixing said that big data requires a large number of data samples. For example, what are the responses of people in a dormitory to these in four years? What are the answers between them? What is the degree of satisfaction? After surveying 100,000 dormitories, a sample set was formed. Through training, the dormitory sample satisfaction model was obtained, and then the answers of freshmen were input for matching. In this way, sample learning of big data can be achieved.

Link: https://www.zhihu.com/question/549749054/answer/2651254803​

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