Islands in the stream: A study of item recommendation within an enterprise social stream

Ido Guy, Roy Levin, Tal Daniel, Ella Bolshinsky

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

11 Scopus citations

Abstract

Social streams allow users to receive updates from their network by syndicating social media activity. These streams have become a popular way to share and consume information both on the web and in the enterprise. With so much activity going on, filtering and personalizing the stream for individual users is a key challenge. In this work, we study the recommendation of enterprise social stream items through a user survey with 510 participants, conducted within a globally distributed organization. In the survey, participants rated their level of interest and surprise for different items from the stream and could also indicate whether they were already familiar with the item. Thus, our evaluation goes beyond the common accuracy measure and examines aspects of serendipity and novelty. We also inspect how various features of the recommended item, its author, and reader, influence its ratings. Our results shed light on the key factors that make a stream item valuable to its reader within the enterprise.

Original languageEnglish
Title of host publicationSIGIR 2015 - Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval
PublisherAssociation for Computing Machinery, Inc
Pages665-674
Number of pages10
ISBN (Electronic)9781450336215
DOIs
StatePublished - 9 Aug 2015
Externally publishedYes
Event38th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2015 - Santiago, Chile
Duration: 9 Aug 201513 Aug 2015

Publication series

NameSIGIR 2015 - Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval

Conference

Conference38th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2015
Country/TerritoryChile
CitySantiago
Period9/08/1513/08/15

Keywords

  • Beyond accuracy
  • Enterprise
  • Novelty
  • Recommender systems
  • Serendipity
  • Social media
  • Social streams
  • Surprise

ASJC Scopus subject areas

  • Information Systems
  • Software

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