Personalized network updates

increasing social interactions and contributions in social networks

Shlomo Berkovsky, Jill Freyne, Gregory Smith

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

18 Citations (Scopus)

Abstract

Social networking systems originally emerged as tools for keeping up with the daily lives of friends and strangers. They have established themselves as valuable resources and means to satisfy information needs. The challenge with information seeking through social networks is that their immense success and popularity is also a weakness. The data deluge facing users has surpassed comfortably managed levels and can impact on the quality and relevance of the information consumed. We developed a personalized model for predicting the relevance of news feed items, in order to facilitate personalized feeds. Results of a live analysis show that our approach successfully identifies and promotes relevant feed items, with the knock-on effects of increasing interaction between users and the contribution of user generated content.
Original languageEnglish
Title of host publicationUser Modeling, Adaptation, and Personalization
Subtitle of host publication20th International Conference, UMAP 2012, Proceedings
EditorsJudith Masthoff, Bamshad Mobasher, Michel C. Desmarais, Roger Nkambou
Place of PublicationHeidelberg
PublisherSpringer, Springer Nature
Pages1-13
Number of pages13
ISBN (Electronic)9783642314544
ISBN (Print)9783642314537
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event20th International Conference on User Modeling, Adaptation, and Personalization, UMAP 2012 - Montreal, Canada
Duration: 16 Jul 201220 Jul 2012

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume7379
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference20th International Conference on User Modeling, Adaptation, and Personalization, UMAP 2012
CountryCanada
CityMontreal
Period16/07/1220/07/12

Cite this