385 related articles for article (PubMed ID: 31369585)
1. Modeling user rating preference behavior to improve the performance of the collaborative filtering based recommender systems.
Ayub M; Ghazanfar MA; Mehmood Z; Saba T; Alharbey R; Munshi AM; Alrige MA
PLoS One; 2019; 14(8):e0220129. PubMed ID: 31369585
[TBL] [Abstract][Full Text] [Related]
2. Users' Rating Predictions Using Collaborating Filtering Based on Users and Items Similarity Measures.
Nudrat S; Khan HU; Iqbal S; Talha MM; Alarfaj FK; Almusallam N
Comput Intell Neurosci; 2022; 2022():2347641. PubMed ID: 35845878
[TBL] [Abstract][Full Text] [Related]
3. An improved collaborative filtering method based on similarity.
Feng J; Feng X; Zhang N; Peng J
PLoS One; 2018; 13(9):e0204003. PubMed ID: 30248112
[TBL] [Abstract][Full Text] [Related]
4. A Deep Ranking Weighted Multihashing Recommender System for Item Recommendation.
Kumar S; Singh JP; Jain VK; Marahatta A
Comput Intell Neurosci; 2022; 2022():7393553. PubMed ID: 36262607
[TBL] [Abstract][Full Text] [Related]
5. An improved memory-based collaborative filtering method based on the TOPSIS technique.
Al-Bashiri H; Abdulgabber MA; Romli A; Kahtan H
PLoS One; 2018; 13(10):e0204434. PubMed ID: 30286123
[TBL] [Abstract][Full Text] [Related]
6. Collaborative Filtering Recommendation on Users' Interest Sequences.
Cheng W; Yin G; Dong Y; Dong H; Zhang W
PLoS One; 2016; 11(5):e0155739. PubMed ID: 27195787
[TBL] [Abstract][Full Text] [Related]
7. A hybrid recommender system based on data enrichment on the ontology modelling.
Chew LJ; Haw SC; Subramaniam S
F1000Res; 2021; 10():937. PubMed ID: 34868563
[No Abstract] [Full Text] [Related]
8. HCF-CRS: A Hybrid Content based Fuzzy Conformal Recommender System for providing recommendations with confidence.
Ayyaz S; Qamar U; Nawaz R
PLoS One; 2018; 13(10):e0204849. PubMed ID: 30300376
[TBL] [Abstract][Full Text] [Related]
9. Measuring user similarity using electric circuit analysis: application to collaborative filtering.
Yang J; Kim J; Kim W; Kim YH
PLoS One; 2012; 7(11):e49126. PubMed ID: 23145095
[TBL] [Abstract][Full Text] [Related]
10. A comparative study: classification vs. user-based collaborative filtering for clinical prediction.
Hao F; Blair RH
BMC Med Res Methodol; 2016 Dec; 16(1):172. PubMed ID: 27931207
[TBL] [Abstract][Full Text] [Related]
11. Shilling attack detection for recommender systems based on credibility of group users and rating time series.
Zhou W; Wen J; Qu Q; Zeng J; Cheng T
PLoS One; 2018; 13(5):e0196533. PubMed ID: 29742134
[TBL] [Abstract][Full Text] [Related]
12. Considering similarity and the rating conversion of neighbors on neural collaborative filtering.
Neammanee T; Maneeroj S; Takasu A
PLoS One; 2022; 17(5):e0266512. PubMed ID: 35512009
[TBL] [Abstract][Full Text] [Related]
13. Multirelational Social Recommendations via Multigraph Ranking.
Mao M; Lu J; Zhang G; Zhang J
IEEE Trans Cybern; 2017 Dec; 47(12):4049-4061. PubMed ID: 28113690
[TBL] [Abstract][Full Text] [Related]
14. A hybrid group-based movie recommendation framework with overlapping memberships.
Ali Y; Khalid O; Khan IA; Hussain SS; Rehman F; Siraj S; Nawaz R
PLoS One; 2022; 17(3):e0266103. PubMed ID: 35358269
[TBL] [Abstract][Full Text] [Related]
15. Enhancing collaborative filtering by user interest expansion via personalized ranking.
Liu Q; Chen E; Xiong H; Ding CH; Chen J
IEEE Trans Syst Man Cybern B Cybern; 2012 Feb; 42(1):218-33. PubMed ID: 21880572
[TBL] [Abstract][Full Text] [Related]
16. Integrating contextual sentiment analysis in collaborative recommender systems.
Osman NA; Mohd Noah SA; Darwich M; Mohd M
PLoS One; 2021; 16(3):e0248695. PubMed ID: 33750957
[TBL] [Abstract][Full Text] [Related]
17. Serendipitous Recommendation in E-Commerce Using Innovator-Based Collaborative Filtering.
Wang CD; Deng ZH; Lai JH; Yu PS
IEEE Trans Cybern; 2019 Jul; 49(7):2678-2692. PubMed ID: 29994495
[TBL] [Abstract][Full Text] [Related]
18. Enhancing the scalability of distance-based link prediction algorithms in recommender systems through similarity selection.
Su Z; Huang Z; Ai J; Zhang X; Shang L; Zhao F
PLoS One; 2022; 17(7):e0271891. PubMed ID: 35901112
[TBL] [Abstract][Full Text] [Related]
19. A Novel Deep Learning-Based Collaborative Filtering Model for Recommendation System.
Fu M; Qu H; Yi Z; Lu L; Liu Y
IEEE Trans Cybern; 2019 Mar; 49(3):1084-1096. PubMed ID: 29994436
[TBL] [Abstract][Full Text] [Related]
20. Data Mining Method of Intelligent Market Management Based on Collaborative Recommendation Algorithm.
Wu Z; Wang S; Cai Y
Comput Intell Neurosci; 2022; 2022():8561567. PubMed ID: 36148426
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
