Crowdsourcing: descriptive study on algorithms and frameworks for prediction

K Dhinakaran, R Nedunchelian… - Archives of Computational …, 2022 - Springer
Data mining, data analytics and data processing are three inter-related processes that are
carried out on large volume of datasets. Data can be of any form such as text, numeric …

Eat This, Not That!–a Personalised Restaurant Menu Decoder That Helps You Pick the Right Food

WU Hasan, KT Zaman, MSAT Zadeh… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Picking the right food from a restaurant menu sometimes is not an easy thing for many
people: visitors who are not familiar with local restaurants' meal names and their ingredients …

Crowd-powered data mining

C Chai, J Fan, G Li, J Wang, Y Zheng - arXiv preprint arXiv:1806.04968, 2018 - arxiv.org
Many data mining tasks cannot be completely addressed by auto-mated processes, such as
sentiment analysis and image classification. Crowdsourcing is an effective way to harness …

Noisy Interactive Graph Search

Q Cong, J Tang, K Han, Y Huang, L Chen… - Proceedings of the 28th …, 2022 - dl.acm.org
The interactive graph search (IGS) problem aims to locate an initially unknown target node
leveraging human intelligence. In IGS, we can gradually find the target node by sequentially …

Building payment classification models from rules and crowdsourced labels: a case study

A Mateush, R Sharma, M Dumas, V Plotnikova… - … Workshops: CAiSE 2018 …, 2018 - Springer
The ability to classify customer-to-business payments enables retail financial institutions to
better understand their customers' expenditure patterns and to customize their offerings …

An interactive virtual E-learning framework using crowdsourced analytics

K Dhinakaran, R Nedunchelian, R Gnanavel… - … for Advanced Computing …, 2021 - Springer
These days clients are keen on distance learning as there is a quick development in digital
data because of everyday improvement in data just as computer technology. Presently …

Passenger Flow Forecast of Catering Business based on Autoregressive Integrated Moving Average and Smoothing Index Prediction Model

CY Su - 2020 International Signal Processing, Communications …, 2020 - ieeexplore.ieee.org
As people's living standards improve, more and more catering enterprises are trying to
develop more reasonable business development by using machine learning methods for …

FILLET-Platform for Intelligent Nutrition

D Ribeiro, J Costa, I Lopes, T Barbosa… - 2020 IEEE/ACS 17th …, 2020 - ieeexplore.ieee.org
Poor dietary behaviours are commonly associated with severe chronic diseases such as
cardiovascular diseases, diabetes and obesity. Personalized food recommendation systems …

Enhancing Restaurant Dining Experience: Design and Evaluation of a Mobile App for Personalized Menu Item Selection in Restaurants

KT Zaman - 2023 - library.ndsu.edu
Picking the right food item from a restaurant menu can be challenging for people, specially
for those who are unfamiliar with local cuisine and those with specific dietary requirements …