X
Search Filters
Format Format
Format Format
X
Sort by Item Count (A-Z)
Filter by Count
Journal Article (782) 782
Conference Proceeding (312) 312
Book Chapter (25) 25
Dissertation (13) 13
Newspaper Article (3) 3
Book / eBook (2) 2
Magazine Article (2) 2
Government Document (1) 1
Report (1) 1
more...
Subjects Subjects
Subjects Subjects
X
Sort by Item Count (A-Z)
Filter by Count
personalized (226) 226
index medicus (192) 192
personalized medicine (191) 191
algorithms (170) 170
humans (152) 152
computer science, information systems (142) 142
analysis (132) 132
computer science (128) 128
recommender systems (127) 127
computer science, artificial intelligence (90) 90
studies (90) 90
personalized search (87) 87
personalized recommendation (82) 82
ranking (82) 82
information retrieval (77) 77
searching (70) 70
cancer (69) 69
medicine (67) 67
research (64) 64
genomics (63) 63
search engines (63) 63
collaborative filtering (62) 62
internet (62) 62
computer science, software engineering (58) 58
female (58) 58
data mining (57) 57
precision medicine (57) 57
social networks (56) 56
artificial intelligence (55) 55
personalized ranking (54) 54
engineering, electrical & electronic (52) 52
mathematical models (52) 52
methods (52) 52
semantics (52) 52
machine learning (50) 50
usage (50) 50
filtering (48) 48
male (48) 48
personalized pagerank (48) 48
collaboration (47) 47
gene expression (47) 47
patients (46) 46
personalization (45) 45
research article (43) 43
biomarkers (41) 41
bayesian personalized ranking (40) 40
learning (40) 40
biology (39) 39
similarity (39) 39
filtration (38) 38
management (38) 38
genetics (37) 37
multidisciplinary sciences (37) 37
telecommunications (37) 37
classification (36) 36
genomes (36) 36
medical research (36) 36
computer science, theory & methods (35) 35
information storage and retrieval (34) 34
oncology (34) 34
adult (32) 32
query processing (32) 32
genes (31) 31
science (31) 31
web search (31) 31
care and treatment (29) 29
optimization (29) 29
pharmacology & pharmacy (29) 29
data structures, cryptology and information theory (28) 28
computational biology (27) 27
genetic aspects (27) 27
genetics & heredity (27) 27
retrieval (27) 27
information (26) 26
middle aged (26) 26
networks (26) 26
diagnosis (25) 25
mathematical analysis (25) 25
personalized web search (25) 25
pharmacogenetics (25) 25
recommendations (25) 25
computer simulation (24) 24
implicit feedback (24) 24
medical informatics (24) 24
ontology (24) 24
prediction (24) 24
social media (24) 24
bioinformatics (23) 23
breast cancer (23) 23
computer communication networks (23) 23
context (23) 23
information science & library science (23) 23
information systems applications (23) 23
matrix factorization (23) 23
breast-cancer (22) 22
clustering (22) 22
disease (22) 22
electronic commerce (22) 22
more...
Library Location Library Location
Language Language
Publication Date Publication Date
Click on a bar to filter by decade
Slide to change publication date range


Expert Systems With Applications, ISSN 0957-4174, 01/2017, Volume 67, pp. 59 - 70
•GRank is a novel framework, designed for recommendation based on rank data.•GRank handles the sparsity problem of neighbor-based collaborative ranking... 
Graph modelling | Recommendation systems | Personalized PageRank | Collaborative ranking | Pairwise preferences | NODES | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | RECOMMENDER SYSTEM | MATRIX FACTORIZATION | LINK PREDICTION-APPROACH | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Analysis | Algorithms
Journal Article
IEEE transactions on knowledge and data engineering, ISSN 1041-4347, 2017, Volume 29, Issue 1, pp. 57 - 71
...: for instance, users and items, queries and webpages. In this paper, we study the problem of ranking vertices of a bipartite graph, based on the graph's link structure as well as prior information about vertices... 
Bridges | Bipartite graph ranking | popularity prediction | Probabilistic logic | graph regularization | Data models | Bipartite graph | Bayes methods | Electronic mail | personalized recommendation | Kernel | n-partite graphs | COMPUTER SCIENCE, INFORMATION SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Bayes' theorem | Usage | Graph theory | Graphs | Queries | Ranking
Journal Article
IEEE Transactions on Knowledge and Data Engineering, ISSN 1041-4347, 05/2012, Volume 24, Issue 5, pp. 896 - 911
Journal Article
Information sciences, ISSN 0020-0255, 2018, Volume 453, pp. 80 - 98
... a Bayesian personalized ranking method for heterogeneous implicit feedback (BPRH). Specifically, items are first classified into different types according to the actions... 
Heterogeneous implicit feedback | Co-occurrence | Recommendation | Personalized ranking | COMPUTER SCIENCE, INFORMATION SYSTEMS | FACTORIZATION
Journal Article
Neurocomputing, ISSN 0925-2312, 11/2016, Volume 214, pp. 191 - 200
Pairwise learning is a vital technique for personalized ranking with implicit feedback... 
Adaptive sampling | Pairwise learning | Personalized ranking | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Data mining | Analysis | Algorithms
Journal Article
Decision Support Systems, ISSN 0167-9236, 03/2016, Volume 83, pp. 10 - 21
Personalized product ranking provides support to the decision making of online consumers and helps improve their satisfaction, since consumers always face a large volume of choices when they are shopping online... 
Collaborative filtering | Online product ranking | Confidence level | Prediction uncertainty | Posterior rating distribution | STRATEGY | COMPUTER SCIENCE, INFORMATION SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | RECOMMENDER SYSTEMS | IMPACT | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | E-COMMERCE | CONSUMER DECISION-MAKING | CONFIDENCE | Confidence intervals | Uncertainty | Filtration | Filtering | Ranking | Personalized products | Consumers | Ratings
Journal Article
PLoS computational biology, ISSN 1553-7358, 2012, Volume 8, Issue 5, p. e1002511
Journal Article
International Journal of Pattern Recognition and Artificial Intelligence, ISSN 0218-0014, 01/2016, Volume 30, Issue 1, p. 1659001
In this paper, we investigate the problem of personalized ranking from implicit feedback (PRIF... 
Artificial Intelligence | implicit feedback | collaborative filtering | loss function | collaborative ranking | pairwise | Personalized ranking | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Analysis | Algorithms
Journal Article
Physica A: Statistical Mechanics and its Applications, ISSN 0378-4371, 09/2016, Volume 458, pp. 364 - 377
Journal Article
Information Retrieval Journal, ISSN 1386-4564, 4/2017, Volume 20, Issue 2, pp. 109 - 131
Journal Article
IEEE transactions on knowledge and data engineering, ISSN 1041-4347, 2003, Volume 15, Issue 4, pp. 784 - 796
Journal Article
Neurocomputing, ISSN 0925-2312, 05/2019, Volume 342, pp. 60 - 65
.... In this paper, a neural network architecture to solve collaborative filtering problems for personalized rankings on implicit feedback datasets is presented... 
Collaborative filtering | Implicit feedback | Neural networks | Personalized ranking | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Rankings
Journal Article
Mathematical problems in engineering, ISSN 1563-5147, 2016, Volume 2016, pp. 1 - 11
The problem of the previous researches on personalized ranking is that they focused on either explicit feedback data or implicit feedback data rather than making full use of the information in the dataset... 
MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | ENGINEERING, MULTIDISCIPLINARY | Electronic data processing | Usage | Big data | Algorithms | Methods | Mean square errors | Science | Big Data | Research | Filtering systems | Datasets | Ratings & rankings | Collaboration | Internet | User feedback | Preferences | Recommender systems | Correlation | Ranking | Feedback | Run time (computers) | Personalized | Mathematical models
Journal Article
Journal Article
Journal of the ACM (JACM), ISSN 0004-5411, 04/2010, Volume 57, Issue 4, pp. 1 - 35
Journal Article
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), ISSN 2329-9304, 01/2018, Volume 26, Issue 1, pp. 122 - 133
.... Generally, the semantic relevance between users' queries and the corresponding responses is considered as the essential element for conversation modeling in both generation and ranking based chat systems... 
personalization | response ranking | Social network services | Semantics | Neural networks | Buildings | personalized chatbot | Electronic mail | User modeling | Context modeling | conversational model | ACOUSTICS | NETWORKS | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
Advanced Engineering Informatics, ISSN 1474-0346, 08/2015, Volume 29, Issue 3, pp. 366 - 379
.... One of the reasons for t