Interaction Design of Educational App Based on Collaborative Filtering Recommendation
With the advent of the 5G digital era, cell phones are becoming ubiquitous in all aspects of our lives, and the increasing demand for remote interaction makes the app interaction experience an indispensable part of our lives. Due to the operational characteristics of gesture interaction in the inter...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Advances in Meteorology |
| Online Access: | http://dx.doi.org/10.1155/2022/7768730 |
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| _version_ | 1832565741799342080 |
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| author | Ying Xu Tse-Kian Neo Hin Hew Soon |
| author_facet | Ying Xu Tse-Kian Neo Hin Hew Soon |
| author_sort | Ying Xu |
| collection | DOAJ |
| description | With the advent of the 5G digital era, cell phones are becoming ubiquitous in all aspects of our lives, and the increasing demand for remote interaction makes the app interaction experience an indispensable part of our lives. Due to the operational characteristics of gesture interaction in the interface of a smart terminal application (app), this mode of human-computer interaction has become the mainstream mode of human-computer interaction. Educational app is the result of a combination between mobile Internet technology and education, which not only provides a more efficient and convenient method of learning for each subject but also expands the possibilities for teaching each subject through intelligent interaction. On this basis, this paper proposes an educational app design method based on collaborative filtering recommendations and investigates ways to improve the use of mobile apps to create an interactive teaching mode. Simultaneously, this paper combines user activity, item popularity, and time factors to comprehensively measure user visibility of items and incorporates them into the collaborative filtering recommendation algorithm in order to effectively mitigate the effects of data sparsity and user selection bias and improve recommendation results. |
| format | Article |
| id | doaj-art-b9da247567fb44f9a154ff8298751ee9 |
| institution | Kabale University |
| issn | 1687-9317 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Meteorology |
| spelling | doaj-art-b9da247567fb44f9a154ff8298751ee92025-02-03T01:06:49ZengWileyAdvances in Meteorology1687-93172022-01-01202210.1155/2022/7768730Interaction Design of Educational App Based on Collaborative Filtering RecommendationYing Xu0Tse-Kian Neo1Hin Hew Soon2Faculty of Creative Multimedia (FCM)Faculty of Creative Multimedia (FCM)Faculty of Creative Multimedia (FCM)With the advent of the 5G digital era, cell phones are becoming ubiquitous in all aspects of our lives, and the increasing demand for remote interaction makes the app interaction experience an indispensable part of our lives. Due to the operational characteristics of gesture interaction in the interface of a smart terminal application (app), this mode of human-computer interaction has become the mainstream mode of human-computer interaction. Educational app is the result of a combination between mobile Internet technology and education, which not only provides a more efficient and convenient method of learning for each subject but also expands the possibilities for teaching each subject through intelligent interaction. On this basis, this paper proposes an educational app design method based on collaborative filtering recommendations and investigates ways to improve the use of mobile apps to create an interactive teaching mode. Simultaneously, this paper combines user activity, item popularity, and time factors to comprehensively measure user visibility of items and incorporates them into the collaborative filtering recommendation algorithm in order to effectively mitigate the effects of data sparsity and user selection bias and improve recommendation results.http://dx.doi.org/10.1155/2022/7768730 |
| spellingShingle | Ying Xu Tse-Kian Neo Hin Hew Soon Interaction Design of Educational App Based on Collaborative Filtering Recommendation Advances in Meteorology |
| title | Interaction Design of Educational App Based on Collaborative Filtering Recommendation |
| title_full | Interaction Design of Educational App Based on Collaborative Filtering Recommendation |
| title_fullStr | Interaction Design of Educational App Based on Collaborative Filtering Recommendation |
| title_full_unstemmed | Interaction Design of Educational App Based on Collaborative Filtering Recommendation |
| title_short | Interaction Design of Educational App Based on Collaborative Filtering Recommendation |
| title_sort | interaction design of educational app based on collaborative filtering recommendation |
| url | http://dx.doi.org/10.1155/2022/7768730 |
| work_keys_str_mv | AT yingxu interactiondesignofeducationalappbasedoncollaborativefilteringrecommendation AT tsekianneo interactiondesignofeducationalappbasedoncollaborativefilteringrecommendation AT hinhewsoon interactiondesignofeducationalappbasedoncollaborativefilteringrecommendation |