View in EDS PDF Full Text

RESUS: Warm-up Cold Users via Meta-learning Residual User Preferences in CTR Prediction.

Saved in:
Bibliographic Details
Title: RESUS: Warm-up Cold Users via Meta-learning Residual User Preferences in CTR Prediction.
Authors: YANYAN SHEN1, shenyy@tencent.com, LIFAN ZHAO1, mogician233@tencent.com, WEIYU CHENG1, weiyu_cheng@sjtu.edu.cn, ZIBIN ZHANG2, bingozhang@tencent.com, WENWEN ZHOU2, wendizhou@tencent.com, LIN KANGYI2, plancklin@tencent.com
Source: ACM Transactions on Information Systems; Jul2023, Vol. 41 Issue 3, p1-26, 26p
Database: Applied Science & Technology Source
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 163619573
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: RESUS: Warm-up Cold Users via Meta-learning Residual User Preferences in CTR Prediction.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22YANYAN+SHEN%22">YANYAN SHEN</searchLink><relatesTo>1</relatesTo>, <i>shenyy@tencent.com</i><br /><searchLink fieldCode="AU" term="%22LIFAN+ZHAO%22">LIFAN ZHAO</searchLink><relatesTo>1</relatesTo>, <i>mogician233@tencent.com</i><br /><searchLink fieldCode="AU" term="%22WEIYU+CHENG%22">WEIYU CHENG</searchLink><relatesTo>1</relatesTo>, <i>weiyu_cheng@sjtu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22ZIBIN+ZHANG%22">ZIBIN ZHANG</searchLink><relatesTo>2</relatesTo>, <i>bingozhang@tencent.com</i><br /><searchLink fieldCode="AU" term="%22WENWEN+ZHOU%22">WENWEN ZHOU</searchLink><relatesTo>2</relatesTo>, <i>wendizhou@tencent.com</i><br /><searchLink fieldCode="AU" term="%22LIN+KANGYI%22">LIN KANGYI</searchLink><relatesTo>2</relatesTo>, <i>plancklin@tencent.com</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22ACM+Transactions+on+Information+Systems%22">ACM Transactions on Information Systems</searchLink>; Jul2023, Vol. 41 Issue 3, p1-26, 26p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=163619573
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1145/3564283
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 26
        StartPage: 1
    Titles:
      – TitleFull: RESUS: Warm-up Cold Users via Meta-learning Residual User Preferences in CTR Prediction.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: YANYAN SHEN
      – PersonEntity:
          Name:
            NameFull: LIFAN ZHAO
      – PersonEntity:
          Name:
            NameFull: WEIYU CHENG
      – PersonEntity:
          Name:
            NameFull: ZIBIN ZHANG
      – PersonEntity:
          Name:
            NameFull: WENWEN ZHOU
      – PersonEntity:
          Name:
            NameFull: LIN KANGYI
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 07
              Text: Jul2023
              Type: published
              Y: 2023
          Identifiers:
            – Type: issn-print
              Value: 10468188
          Numbering:
            – Type: volume
              Value: 41
            – Type: issue
              Value: 3
          Titles:
            – TitleFull: ACM Transactions on Information Systems
              Type: main
ResultId 1