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Social Browsing on Flickr

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TLDR
Through an extensive analysis of Flickr data, it is shown that social browsing through the contacts' photo streams is one of the primary methods by which users find new images on Flickr.
Abstract
The new social media sites—blogs, wikis, del.icio.us and Flickr, among others—underscore the transformation of the Web to a participatory medium in which users are actively creating, evaluating and distributing information. The photo-sharing site Flickr, for example, allows users to upload photographs, view photos created by others, comment on those photos, etc. As is common to other social media sites, Flickr allows users to designate others as "contacts" and to track their activ- ities in real time. The contacts (or friends) lists form the social network backbone of social media sites. These social networks facilitate new ways of interacting with information, e.g., through what we call social browsing. The contacts inter- face on Flickr enables users to see latest images submitted by their friends. Through an extensive analysis of Flickr data, we show that social browsing through the contacts' photo streams is one of the primary methods by which users find new images on Flickr. This finding has implications for creat- ing personalized recommendation systems based on the user's declared contacts lists.

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References
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Journal ArticleDOI

GroupLens: applying collaborative filtering to Usenet news

TL;DR: The combination of high volume and personal taste made Usenet news a promising candidate for collaborative filtering and the potential predictive utility for Usenets news was very high.
Posted Content

The structure of Collaborative Tagging Systems

TL;DR: A dynamical model of collaborative tagging is presented that predicts regularities in user activity, tag frequencies, kinds of tags used, bursts of popularity in bookmarking and a remarkable stability in the relative proportions of tags within a given url.
Journal ArticleDOI

Recommender Systems Research: A Connection-Centric Survey

TL;DR: It is posited that recommendation has an inherently social element and is ultimately intended to connect people either directly as a result of explicit user modeling or indirectly through the discovery of relationships implicit in extant data.
Proceedings Article

Social Networks and Social Information Filtering on Digg.

TL;DR: Digg is a social news aggregator which allows users to submit links to, vote on and discuss news stories as discussed by the authors. And each day Digg selects a handful of stories to feature on its front page.
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