金哥占卜者
发表于 2025-3-30 10:42:27
Gritt Klinkhammer,Anna Neumaiertion Tamil word from text corpora. The performance of the proposed approach is compared with Light Stemmer (LS) and Improved Light Stemmer (ILS) algorithms based on correctly and incorrectly predicted stem words. The experimental result clearly shows that the proposed approach ARS for Tamil corpora performs better than the LS and ILS algorithm.
Hiatus
发表于 2025-3-30 13:13:10
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flammable
发表于 2025-3-30 19:50:26
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Inculcate
发表于 2025-3-30 23:58:29
https://doi.org/10.1007/978-3-030-31856-7 on MovieLens data set show that the proposed technique is efficient in expanding the rating matrix and outperforms state of the art collaborative filtering techniques for providing more efficient predictions.
飞来飞去真休
发表于 2025-3-31 02:11:34
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organic-matrix
发表于 2025-3-31 06:57:38
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Lineage
发表于 2025-3-31 11:31:04
Item Refinement for Improved Recommendations on MovieLens data set show that the proposed technique is efficient in expanding the rating matrix and outperforms state of the art collaborative filtering techniques for providing more efficient predictions.
Alopecia-Areata
发表于 2025-3-31 13:38:04
Analogy Removal Stemmer Algorithm for Tamil Text Corporation Tamil word from text corpora. The performance of the proposed approach is compared with Light Stemmer (LS) and Improved Light Stemmer (ILS) algorithms based on correctly and incorrectly predicted stem words. The experimental result clearly shows that the proposed approach ARS for Tamil corpora performs better than the LS and ILS algorithm.