I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Machine Learning based Efficient Recommendation System for ..:
, In:
2020 Fourth International Conference on Inventive Systems and Control (ICISC)
,
Kommineni, Madhuri
;
Alekhya, P.
;
Vyshnavi, T. Mohana
... - p. 66-71 , 2020
Link:
https://doi.org/10.1109/ICISC47916.2020.9171222
RT T1 <cTitle>2020 Fourth International Conference on Inventive Systems and Control (ICISC)</cTitle>: T1 <Title>Machine Learning based Efficient Recommendation System for Book Selection using User based Collaborative Filtering Algorithm</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9171222&Exemplar=1&LAN=DE A1 Kommineni, Madhuri A1 Alekhya, P. A1 Vyshnavi, T. Mohana A1 Aparna, V. A1 Swetha, K A1 Mounika, V YR 2020 K1 Recommender system K1 Content based filtering K1 Collaborative filtering K1 Memory based approach K1 Cosine similarity SP 66 OP 71 LK http://dx.doi.org/https://doi.org/10.1109/ICISC47916.2020.9171222 DO https://doi.org/10.1109/ICISC47916.2020.9171222 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
