Selecting items of relevance in social network feeds

Shlomo Berkovsky, Jill Freyne, Stephen Kimani, Gregory Smith

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

7 Citations (Scopus)


The success of online social networking systems has revolutionised online sharing and communication, however it has also contributed significantly to the infamous information overload problem. Social Networking systems aggregate network activities into chronologically ordered lists, Network Feeds, as a way of summarising network activity for its users. Unfortunately, these feeds do not take into account the interests of the user viewing them or the relevance of each feed item to the viewer. Consequently individuals often miss out on important updates. This work aims to reduce the burden on users of identifying relevant feed items by exploiting observed user interactions with content and people on the network and facilitates the personalization of network feeds in a manner which promotes relevant activities. We present the results of a large scale live evaluation which shows that personalized feeds are more successful at attracting user attention than non-personalized feeds.
Original languageEnglish
Title of host publicationUser modeling, adaptation, and personalization
Subtitle of host publication19th International Conference, UMAP 2011 Proceedings
EditorsJoseph A. Konstan, Ricardo Conejo, José L. Marzo, Nuria Oliver
Place of PublicationHeidelberg
PublisherSpringer, Springer Nature
Number of pages6
ISBN (Electronic)9783642223624
ISBN (Print)9783642223617
Publication statusPublished - 2011
Externally publishedYes
EventUser Modeling, Adaptation and Personalization Conference, UMAP 2011 - Girona, Spain
Duration: 11 Jul 201115 Jul 2011

Publication series

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


OtherUser Modeling, Adaptation and Personalization Conference, UMAP 2011


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