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Titlebook: Digital Connectivity – Social Impact; 51st Annual Conventi S. Subramanian,R. Nadarajan,Shina Sheen Conference proceedings 2016 Springer Nat

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51#
發(fā)表于 2025-3-30 10:42:27 | 只看該作者
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.
52#
發(fā)表于 2025-3-30 13:13:10 | 只看該作者
53#
發(fā)表于 2025-3-30 19:50:26 | 只看該作者
54#
發(fā)表于 2025-3-30 23:58:29 | 只看該作者
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.
55#
發(fā)表于 2025-3-31 02:11:34 | 只看該作者
56#
發(fā)表于 2025-3-31 06:57:38 | 只看該作者
57#
發(fā)表于 2025-3-31 11:31:04 | 只看該作者
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.
58#
發(fā)表于 2025-3-31 13:38:04 | 只看該作者
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.
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