http://rdf.ncbi.nlm.nih.gov/pubchem/reference/31192973

Outgoing Links

Predicate Object
contentType Journal Article|Research Support, Non-U.S. Gov't
issn 2045-2322
issueIdentifier 1
pageRange 252-
publicationName Scientific Reports
startingPage 252
hasFundingAgency http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_a703b965df126db04e913ccf7d5c4d3e
http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_cd42f831cacbee63c74914657e223b99
http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_487baf6554eb36bb22c6138d90a7c50f
http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_1c0aa062611518a12552a116a65f748d
http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_d8a154c39e7749376aebb53edde6d370
http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_b3971a2830f3f2919843c8207a0cba3e
bibliographicCitation Wang Q, Liu F, Zhao X, Tan Q. Session interest model for CTR prediction based on self-attention mechanism. Scientific Reports. 2022 Jan 07;12(1):252. doi: 10.1038/s41598-021-03871-y.
creator http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_c2348c92e4407d2a316086f2cff89e7b
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_32003075d56c5584b37ce75dc4ccd29a
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_3ea5c19d6406f1af04870705189fa944
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_5061393291e4177cbb6ad7de298fe8b3
date 2022-01-07^^<http://www.w3.org/2001/XMLSchema#date>
identifier https://doi.org/10.1038/s41598-021-03871-y
https://pubmed.ncbi.nlm.nih.gov/34996985
https://pubmed.ncbi.nlm.nih.gov/PMC8741903
isPartOf https://portal.issn.org/resource/ISSN/2045-2322
http://rdf.ncbi.nlm.nih.gov/pubchem/journal/39356
language English
source https://pubmed.ncbi.nlm.nih.gov/
https://scigraph.springernature.com/
https://www.crossref.org/
title Session interest model for CTR prediction based on self-attention mechanism

Showing number of triples: 1 to 28 of 28.