An optimized collaborative filtering method to construct spatial‐temporal behavior pattern‐based user interest model

JJ Cheng, LF Hu, S Gao, JJ Liu… - IEEJ Transactions on …, 2017 - Wiley Online Library
Mobile social network (MSN) has properties of real time, mobility, and social relationship,
and provides more real‐time, more dimensional, and more heterogeneous metadata. The …

'Noise Reduction in Web Data: A Learning Approach Based on Dynamic User Interests'

J Onyancha, V Plekhanova - International Journal of …, 2018 - sure.sunderland.ac.uk
One of the significant issues facing web users is the amount of noise in web data which
hinders the process of finding useful information in relation to their dynamic interests …

[PDF][PDF] Web page recommendation using random forest with firefly algorithm in web mining

PS Mane, AK Jetawat, PJ Nikumbh - Int. J. Eng. Adv. Technol.(IJEAT), 2020 - academia.edu
Nowadays, internet has become the easiest way to obtain more information from the web
and millions of users search internet to find out the information. The continuous growth of …

Text Classification for Newsgroup using Deep Learning

MCMK Kalyan, K Satya, ML Prasanna - Journal of Science & Technology …, 2023 - jst.org.in
With the developments of internet technologies, dealing with a mass of law cases urgently
and assigning classification cases automatically are the most basic and critical steps …

[PDF][PDF] WEB DATA LEARNING (NRWDL) ALGORITHM TO DETECT DYNAMIC CHANGES IN USER INTERESTS

DV Manjula, MGN Rani, MK Shamsri, MA Nautiyal - junikhyatjournal.org
One of the significant issues facing web users is the amount of noise in web data which
hinders the process of finding useful information in relation to their dynamic interests …

[PDF][PDF] Noise Reduction in Web Data: a Learning Approach based on Dynamic User Interests

MPV Kumar, DB Mandru - ijesat.com
One of the significant issues facing web users is the amount of noise in web data which
hinders the process of finding useful information in relation to their dynamic interests …

[PDF][PDF] NOISE REDUCTION IN WEB DATA A LEARNING APPROACH BASED ON DYNAMIC USER INTERESTS

K Mikkilineni, P Pusuluri - ijarst.in
One of the significant issues facing web users is the amount of noise in web data which
hinders the process of finding useful information in relation to their dynamic interests …

[PDF][PDF] NOISE REDUCTION IN WEB DATA: A LEARNING APPROACH BASED ON DYNAMIC USER INTERESTS

M SD - International Journal of Engineering Research and …, 2022 - ijerst.org
Users find it very difficult, if not impossible, to narrow their search results to precisely meet
their evolving interests due to the vast amount of material accessible online. Recent …

[PDF][PDF] Enhancing The Web User Profiles Quality By Noise Web Data Learning (NWDL) And Suffix Tree Clustering (STC)

S Ganeshmoorthy, R Priya - JCR, 2020 - sngasc.ac.in
The data mining methods tell that not all the useful information present on the web is with
noise and user‟ s interest. The crucial problem is the level of noise that has been occurred …

[引用][C] Noise Reduction in Web Data: A Learning ApproachBased on Dynamic User Interests

CH Mahesh, B Bhavyasri, AA Reddy, N Srilatha… - RES MILITARIS, 2023