Online diet plan recommendation system presented in natural language
Existing health recommender systems only present users with short descriptions and tables which would require users more effort in understanding the recommendation. Natural Language Generation (NLG) is a technology which involves converting computerized data into written text. A technology such as t...
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| Main Authors: | , , |
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| Format: | text |
| Language: | English |
| Published: |
Animo Repository
2012
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| Online Access: | https://animorepository.dlsu.edu.ph/etd_bachelors/12094 |
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| Institution: | De La Salle University |
| Language: | English |
| Summary: | Existing health recommender systems only present users with short descriptions and tables which would require users more effort in understanding the recommendation. Natural Language Generation (NLG) is a technology which involves converting computerized data into written text. A technology such as this can be beneficial to health recommender systems as it can provide users with a clearer understanding of the recommendation, but existing health recommender systems do not employ NLG. The system incorporates NLG into a health recommender system in order to generate a complete meal recommendation which consists of meal recipes, preparation process, and a meal recommendation explanation. Results of tests conducted by test users and field experts suggest that the system is well capable of presenting understandable and effective meal recommendations. |
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