TopRecipes: A Topic Modelling Scheme Driven Framework for Strategic Recipe Recommendation Using Differential Semantics
| Audiencia | Público en general | es_ES |
| Cobertura | México[ 143] | es_ES |
| Fecha de ingreso | 2026-10-05T16:34:58Z | |
| Fecha de publicación | 2026-01-01 | |
| Resumen | An advanced Web 3.0 framework, exemplified by the Semantic Web, is essential for providing recipes that reflect diverse cultural and geographical culinary traditions within an integrated digital environment. Topic model-based framework, named TopRecipes, encompasses Latent Dirichlet Allocation (LDA) and standard knowledge repositories to generate the informative terms and further depends on the existing knowledge stack to populate the informative terms utilizing TF-IDF. Furthermore, a Semantic network is derived from the terms and strategic standard models like the Normalized Information Distance (NID), and VL and Ahmed index have been incorporated for reasoning based on semantic similarity, differential thresholds, and differential step deviance measures. A Logistic Regression (LR) classifier, a feature-controlled classifier, classifies the dataset, Renyi entropy facilitates feature selection, and dolphin’s echolocation transforms the initial feasible set into an optimal solution set through metaheuristics optimistic computation. The average precision of the proposed TopRecipes was 95.58 with a recall of 97.84, an accuracy of 96.71, and an F-measure of 96.7, where the lowest FDR was achieved, which is 0.05. | es_ES |
| Doi | https://doi.org/10.1007/978-3-032-24360-7_31 | es_ES |
| ISBN | 978-303224359-1 | es_ES |
| URI | https://riuat.uat.edu.mx/handle/123456789/6432 | |
| Idioma | Inglés[20] | es_ES |
| Editorial | Springer Science and Business Media Deutschland GmbH | es_ES |
| Relación | Lecture Notes in Networks and Systems | es_ES |
| URL relacionado | https://doi.org/10.1007/978-3-032-24360-7_31 | es_ES |
| Derechos | Acceso restringido / Suscripción (Metadatos de producción científica) | es_ES |
| Licencia | http://purl.org/coar/access_right/c_16ec | es_ES |
| Fuente | Lecture Notes in Networks and Systems | |
| Palabra clave | Culinary Studies | es_ES |
| Palabra clave | Differential Semantics | es_ES |
| Palabra clave | Recipe Recommendation | es_ES |
| Palabra clave | Semantic AI | es_ES |
| Palabra clave | Web 3.0 | es_ES |
| Título | TopRecipes: A Topic Modelling Scheme Driven Framework for Strategic Recipe Recommendation Using Differential Semantics | es_ES |
| Tipo | Ponencia | es_ES |
| Arbitrado | Ha sido Arbitrado | es_ES |
| Autor | Bhaveeasheshwar, E. | |
| Autor | Deepak, Gerard | |
| Autor | Ortiz-Rodriguez, Fernando | |
| Autor | Bhaveeasheshwar, E. | es_ES |
| Autor | Deepak, Gerard | es_ES |
| Autor | Ortiz-Rodriguez, Fernando | es_ES |
| Institución | Universidad Autónoma de Tamaulipas | |
| Institución | Universidad Autónoma de Tamaulipas | es_ES |
| Rango de páginas | 336-346 | es_ES |
| URL relacionada | https://doi.org/10.1007/978-3-032-24360-7_31 | |
| Tipo de artículo | Indexado | |
| Tipo de artículo | Indexado | es_ES |
| Volumen | 1947 LNNS | es_ES |
