From Code to Ratings: Converting Programming Data to Enhance Collaborative Filtering in Educational Online Judge Systems
This study introduces and compares three innovative approaches for recommending programming problems within an Online Judge system (OJ), tackling the challenge of deriving implicit ratings from user interactions without explicit user ratings. Conventional collaborative filtering (CF) methods often s...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10813164/ |
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