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Rajeswari Nakka

vidwan id: 197964
Female

Professor, Department of Computer Science and Engineering
Seshadri Rao Gudlavalleru Engineering College, Gudlavalleru

Expertise

  • Computer Science Software Engineering

Publications

Total Articles 25
Books 0
Proceedings 0

Publications

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Scopus

Citations 2
h-index 1

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Citations 0
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Professional Recognition

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Community & Membership

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Association for Computing Machinery

2019
Yearly

Bio

Machine Learning, Recommender Systems.

Personal Details

  • Female
  • Professor , Seshadri Rao Gudlavalleru Engineering College, Gudlavalleru
  • Seshadri Rao Gudlavalleru Engineering College
Ph.D
Other Institute 2022
Professor Jul 2005 – Present
Seshadri Rao Gudlavalleru Engineering College, Gudlavalleru | Department of Computer Science and Engineering

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Organisations (274+)

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Battina

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Changalpattu

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Co-Authors (6)

Gvsnrv

Dr Gvsnrv Prasad

Seshadri Rao Gudlavalleru Engineering College, Gudlavalleru

Indira

Dr Indira Dendukuri

Goka Raju Ranga Raju Institute of Engineering & Technology

N.V.S.L.S.Indira

Dr N.V.S.L.S.Indira Devaganugula

Seshadri Rao Gudlavalleru Engineering College, Gudlavalleru

Kiran Kumar

Dr Kiran Kumar Reddi

Krishna University, Machhlipattanam

Adilakshmi

Dr Adilakshmi Yannam

Seshadri Rao Gudlavalleru Engineering College, Gudlavalleru

N V R SWARUP KUMAR

Dr N V R SWARUP KUMAR J

Gandhi Institute of Technology and Management

Scholarly Work

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Scholarly Publications

Offering Recommendations on Netflix dataset by Associations among Users as Trust Metric

Open Access
article
Authors: GVSNRV Prasad, Rajeswari Nakka

Review selection Using Micro-Reviews

Open Access
article
Authors: RAJESWARI NAKKA

An Advanced Neighbourhood approach of recommending movies on Netflix data by the combination of KNN and XGBoost

Open Access
article
Authors: Rajeswari Nakka, Dr.G.V.S.N.R.V Prasad, Dr.R.Kiran Kumar

Runtime Based Recommendations on Netflix Data using SBE-XGBoost model

Open Access
article
Authors: Sr GVSNRV Prasad, Rajeswari Nakka

Evaluation of television shows popularity based on Twitter data using sentiment examination techniques

Open Access
Article

A research on similarity measure to identify effective similar users in recommender systems

Open Access
Article

A review analysis on recommendation system

Open Access
Review

Evaluation of Television Shows Popularity based On Twitter Data using Sentiment Analysis Techniques

Open Access
article
Authors: D. N. V. S. L. S. Indira, JNVR Swarup Kumar, Y. Adi Lakshmi, N. Rajeswari