[PDF][PDF] Optimal keyword search for recommender system in Big Data application
JA Singam, S Srinivasan - ARPN Journal of Engineering and Applied …, 2015 - academia.edu
Currently, online searching process increases and people searches new information in the
search process. Most of the search engine gives additional supporting information …
search process. Most of the search engine gives additional supporting information …
HOTEL RECOMMENDATION SYSTEM BASED ON KASR SYSTEM
RG Pawar - INFORMATION TECHNOLOGY IN INDUSTRY, 2021 - it-in-industry.org
In today's world of data, large amount of homogenous as well as heterogeneous data is
available in service sectors like hotel, tourists etc. Accessing helpful information from these …
available in service sectors like hotel, tourists etc. Accessing helpful information from these …
[PDF][PDF] Review on Analysis of User Behavior Based on Prediction Algorithm
H Kardas, S Sonkamble - International Journal of Science and Research … - academia.edu
Various service provider systems or recommender systems have to manage the large
amount of data regarding customer, service and information. This leads to Big Data analysis …
amount of data regarding customer, service and information. This leads to Big Data analysis …
[PDF][PDF] Efficient Recommendation System based on Keyword for Smart-City with Sentiment Analysis using Hadoop
S Potdar, NS More - IJETT, 2017 - researchgate.net
In today's life recommender system plays the important role while user is on social
networking site, online shop** website. For presenting the personalized recommendation …
networking site, online shop** website. For presenting the personalized recommendation …
Personalised Recommender Engine Usinga Probablistic Model
AR Dhruv, DJW Bakal - International Journal of Computer …, 2019 - papers.ssrn.com
The world of e-commerce and e-business has opened many horizons to explore customers
on web. Consumers are expecting businesses to approach and please them with their …
on web. Consumers are expecting businesses to approach and please them with their …
Smart Service Recommendation System by Applying MapReduce Techniques on Big Data
PR Desai, AR Dhakne - INTERNATIONAL JOURNAL OF ENGINEERING …, 2017 - rjwave.org
Now days, the amount of data in internet grown beyond the size of processing, this is Big
Data. In the last few years, the information is growing vast, and separating this wide …
Data. In the last few years, the information is growing vast, and separating this wide …
[PDF][PDF] Smart Service Recommendation System by Applying MapReduce Techniques on Big Data
ME Student - 2017 - rjwave.org
Now days, the amount of data in internet grown beyond the size of processing, this is Big
Data. In the last few years, the information is growing vast, and separating this wide …
Data. In the last few years, the information is growing vast, and separating this wide …
[PDF][PDF] Toward personalize user-based recommendation system for big data application
N Kothiwale, S Khtawkar - MATRIX Academic International Online …, 2016 - maiojet.com
The use of web are increases the option of user choices also increases. Recommendation
system is guideline for users in personalized way to choose/choice their option from the …
system is guideline for users in personalized way to choose/choice their option from the …
Personalized service recommendation system using big data-A survey
D Ghai, N Jain - JIMS8I-International Journal of Information …, 2016 - indianjournals.com
Nowadays, recommendation systems are experienced by everyone on the web. They are
found in many e-commerce applications today like amazon, flip kart or myntra …
found in many e-commerce applications today like amazon, flip kart or myntra …
[PDF][PDF] KSRS: Keyword-based Service Recommendation System for Shop** using Map-Reduce on Hadoop for Big Data
MMR Deshmukh, MSY Raut - 2016 - academia.edu
Service recommender systems are important tools for giving appropriate recommendations
to users. From many years, the amount of customers, services provided to them and online …
to users. From many years, the amount of customers, services provided to them and online …