Open AccessProceedings Article
Social Browsing on Flickr
Kristina Lerman,Laurie A. Jones +1 more
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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.read more
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Patent
User behavior models based on source domain
TL;DR: In this article, a method for tailoring content in a web page is provided, which is based on the relationship between the source domain a user comes from and the behavior pattern of a user on a website.
Proceedings Article
Producing timely recommendations from social networks through targeted search
Anil Gürsel,Sandip Sen +1 more
TL;DR: An online photo referral system that identifies photos of possible interest to a user based on meta-data and comments on the pages of linked users on a popular photo sharing social website, and a probabilistic category determination mechanism that allows us to identify the possible categories an item belongs to by examining its tags.
Proceedings ArticleDOI
Predicting Image Popularity in an Incomplete Social Media Community by a Weighted Bi-partite Graph
TL;DR: A weighted bipartite graph with undetected users and items to represent the resource allocation process in an incomplete network, called Incomplete Network-based Inference (INI), is devised and shown to increase prediction accuracy by over 58.1%, compared with traditional NBI.
Proceedings ArticleDOI
Characteristics and evolution of content popularity and user relations in social networks
TL;DR: An interesting novel trend emerging from this study is that subsets of users have major impact on the content popularity with respect to previous analyses, with evident consequences on the possibility of implementing content dissemination strategies, such as viral marketing.
Book ChapterDOI
Can Social Tagging Improve Web Image Search
TL;DR: A method that replaces an abstract query term given by a user with a set of concrete terms and that uses these terms in queries input into Web image search engines to improve the recall ratio of Web image searches.
References
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Journal ArticleDOI
GroupLens: applying collaborative filtering to Usenet news
Joseph A. Konstan,Bradley N. Miller,David A. Maltz,Jonathan L. Herlocker,Lee R. Gordon,John Riedl +5 more
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.