June 10, 2024, 4:45 a.m. | Sakshi Mahendru

cs.LG updates on arXiv.org arxiv.org

arXiv:2406.04490v1 Announce Type: new
Abstract: Query Processing (QP) is optimized by a Cloud-based cache by storing the frequently accessed data closer to users. Nevertheless, the lack of focus on user intention type in queries affected the efficiency of QP in prevailing works. Thus, by using a Contextual Fuzzy Linguistic Inference System (CFLIS), this work analyzed the informational, navigational, and transactional-based intents in queries for enhanced QP. Primarily, the user query is parsed using tokenization, normalization, stop word removal, stemming, and …

abstract arxiv cache cloud cloud-based cs.lg data efficiency focus framework optimization processing queries query query processing recognition semantic type

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