Web-based matching system for friend recommendation
NiceToMeetU (NTmU) is developed as a friend recommendation platform using Django Framework for Nanyang Technological University (NTU) students to make friends in school. The platform makes use of the content-based filtering recommendation system to match users based on their profiles, which ar...
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| Format: | Final Year Project |
| Language: | English |
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Nanyang Technological University
2023
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| Online Access: | https://hdl.handle.net/10356/166689 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | NiceToMeetU (NTmU) is developed as a friend recommendation platform using Django
Framework for Nanyang Technological University (NTU) students to make friends in school.
The platform makes use of the content-based filtering recommendation system to match users
based on their profiles, which are constructed from 4 aspects - personality traits, movies,
hobbies, and music in the ratio of 4:3:2:1. The previous version classified users into 16 Myers Briggs Type Indicator (MBTI) personality type across 4 axes using BERT model.
This project focused on improving the accuracy of personality classification and enhancing the
user interface. Various word embedding models, such as BERT, RoBERTa, DistilBERT and
ALBERT, were experimented with a new, larger dataset for personality classification. The best
classification accuracy was obtained by the BERT model with a ROC AUC score of 91% and
f1 score of 89%. |
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