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Feed Following: The Big Data Challenge in Social Applications Adam Silberstein, Ashwin Machanavajjhala, Raghu Ramakrishnan Yahoo! Research Santa Clara, CA, USA {silberst,mvnak,ramakris}@yahoo-inc.com
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Document Date: 2013-01-11 15:50:22


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City

Athens / /

Company

Twitter / Youtube / Yahoo! / Facebook / /

Currency

USD / /

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IndustryTerm

event processing engine / party social applications / web caching / designing feed following systems / random server / dense connection networks / storage server / typical web workloads / george query server / efficient algorithm / social networking sites / publish/subscribe systems / user activity using data mining tools / connection network / denser connection networks / well known solutions / large-scale event notification infrastructure / lower overall processing cost / social networks / Internet users / web proxy caching hierarchy / dedicated feed aggregation product / overall processing costs / given producer / /

MusicGroup

U2 / /

Person

Doris / Mike Schroepfer / Carl / Scribe / Lady Gaga / Eric / Ashwin Machanavajjhala / Raghu Ramakrishnan / /

Position

entire producer / singer / given producer / extremely active producer / scheduler / General / producer / frequent producer / /

TVShow

Connections / /

Technology

OLAP / XML / efficient algorithm / data warehouse / data mining / caching / /

URL

http /

SocialTag