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Design of a Novel Query System for Social Network

Design of a Novel Query System for Social Network

Charu Virmani, Dimple Juneja, Anuradha Pillai
Copyright: © 2019 |Volume: 12 |Issue: 2 |Pages: 19
ISSN: 1938-7857|EISSN: 1938-7865|EISBN13: 9781522564751|DOI: 10.4018/JITR.2019040110
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MLA

Virmani, Charu, et al. "Design of a Novel Query System for Social Network." JITR vol.12, no.2 2019: pp.175-193. http://doi.org/10.4018/JITR.2019040110

APA

Virmani, C., Juneja, D., & Pillai, A. (2019). Design of a Novel Query System for Social Network. Journal of Information Technology Research (JITR), 12(2), 175-193. http://doi.org/10.4018/JITR.2019040110

Chicago

Virmani, Charu, Dimple Juneja, and Anuradha Pillai. "Design of a Novel Query System for Social Network," Journal of Information Technology Research (JITR) 12, no.2: 175-193. http://doi.org/10.4018/JITR.2019040110

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Abstract

User intention and nature of network plays a vital role towards the quality of response received as the result of any user query. Therefore, the need of system understanding the user's intent and network dynamism as well is highly apparent. The proposed query processing and analysing system (QPAS) for social networks is based on extracting user's intent from various social networks using existing NLP techniques. It fetches the information and further employs hybrid ensemble k-means hierarchical agglomerative clustering (HEKHAC) and modified Bitonic sort to improve the responses. The proposed approach offers an edge over other mechanisms as it not only retrieves more user-centric results as compared to traditional way of keyword-based searching but also in timely manner as well. It is an innovative approach to investigate the new aspects of social network. The proposed model offers a noteworthy revolution scoring up to precision and recall respectively.

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