http://www.bibsonomy.org/burst/tag/flickrBibSonomy BuRST Feed for /tag/flickr2008-07-21T00:28:03+02:00Flickr tag recommendation based on collective knowledgehttp://www.bibsonomy.org/bibtex/21180c2b62d74ec836dce01b7466f88d3/andreabandreab2008-07-10T17:12:31+02:00statistics www2008 tags recommendation tagging flickr imported yahoo wordnet co-occurrence <span style="color:#555555;">B&#246;rkur <a href="http://www.bibsonomy.org/author/Sigurbj\&#034;{o}rnsson">Sigurbj&#246;rnsson</a> and Roelof van <a href="http://www.bibsonomy.org/author/Zwol">Zwol</a> </span><em>WWW '08: Proceeding of the 17th international conference on World Wide Web, </em><em>page327--336. </em><em>New York, NY, USA, </em><em>ACM, </em>(<em>2008</em>)Thu Jul 10 17:12:31 CEST 2008New York, NY, USAWWW '08: Proceeding of the 17th international conference on World Wide Web327--336Flickr tag recommendation based on collective knowledge2008statistics www2008 tags recommendation tagging flickr imported yahoo wordnet co-occurrence http://www.bibsonomy.org/bibtex/23b4ce6fd7fa6dbf1c39fd261fa39fcd6/cschenkcschenk2008-06-26T14:37:54+02:00flickr connotea read:2008 hierarchical del.icio.us collaborative clustering taxonomy folksonomy communal tagging paper <span style="color:#555555;">Paul <a href="http://www.bibsonomy.org/author/Heymann">Heymann</a> and Hector <a href="http://www.bibsonomy.org/author/Garcia-Molina">Garcia-Molina</a> </span><em>2006-10. </em><em>Computer Science Department, </em><em>April2006. </em>Thu Jun 26 14:37:54 CEST 2008April2006-10Collaborative Creation of Communal Hierarchical Taxonomies in Social Tagging Systems2006flickr connotea read:2008 hierarchical del.icio.us collaborative clustering taxonomy folksonomy communal tagging paper Collaborative tagging systems---systems where many casual users annotate objects with free-form strings (tags) of their choosing---have recently emerged as a powerful way to label and organize large collections of data. During our recent investigation into these types of systems, we discovered a simple but remarkably effective algorithm for converting a large corpus of tags annotating objects in a tagging system into a navigable hierarchical taxonomy of tags. We first discuss the algorithm and then present a preliminary model to explain why it is so effective in these types of systems.What drives content tagginghttp://www.bibsonomy.org/bibtex/28ec15e137b9029274dc6aaa26845ccb5/ewomantewomant2008-05-28T11:10:46+02:00iim_socsoft flickr motivation folksonomy tagging social_software <span style="color:#555555;">Oded <a href="http://www.bibsonomy.org/author/Nov">Nov</a> and Mor <a href="http://www.bibsonomy.org/author/Naaman">Naaman</a> and Chen <a href="http://www.bibsonomy.org/author/Ye">Ye</a> </span><em>CHI '08: Proceeding of the twenty-sixth annual SIGCHI conference on Human factors in computing systems, </em><em>page1097--1100. </em><em>New York, NY, USA, </em><em>ACM, </em>(<em>2008</em>)Wed May 28 11:10:46 CEST 2008New York, NY, USACHI '08: Proceeding of the twenty-sixth annual SIGCHI conference on Human factors in computing systems1097--1100What drives content tagging: the case of photos on Flickr2008iim_socsoft flickr motivation folksonomy tagging social_software What drives content tagginghttp://www.bibsonomy.org/bibtex/28ec15e137b9029274dc6aaa26845ccb5/teresinateresina2008-05-26T10:38:46+02:00iim_socsoft tagging folksonomy flickr motivation social_software <span style="color:#555555;">Oded <a href="http://www.bibsonomy.org/author/Nov">Nov</a> and Mor <a href="http://www.bibsonomy.org/author/Naaman">Naaman</a> and Chen <a href="http://www.bibsonomy.org/author/Ye">Ye</a> </span><em>CHI '08: Proceeding of the twenty-sixth annual SIGCHI conference on Human factors in computing systems, </em><em>page1097--1100. </em><em>New York, NY, USA, </em><em>ACM, </em>(<em>2008</em>)Mon May 26 10:38:46 CEST 2008New York, NY, USACHI '08: Proceeding of the twenty-sixth annual SIGCHI conference on Human factors in computing systems1097--1100What drives content tagging: the case of photos on Flickr2008iim_socsoft tagging folksonomy flickr motivation social_software http://www.bibsonomy.org/bibtex/2f4bde409abf5f792ec8d3dc86797f1f1/ewomantewomant2008-05-24T15:52:28+02:00tagging folksonomy flickr motivation <span style="color:#555555;">Oded <a href="http://www.bibsonomy.org/author/Nov">Nov</a> and Mor <a href="http://www.bibsonomy.org/author/Naaman">Naaman</a> and Chen <a href="http://www.bibsonomy.org/author/Ye">Ye</a> </span>(<em>2008</em>)Sat May 24 15:52:28 CEST 2008New York, NY, USACHI '08: Proceeding of the twenty-sixth annual SIGCHI conference1097--1100What drives content tagging: the case of photos on Flickr2008tagging folksonomy flickr motivation Flickr tag recommendation based on collective knowledgehttp://www.bibsonomy.org/bibtex/21180c2b62d74ec836dce01b7466f88d3/teresinateresina2008-05-24T15:10:14+02:00recommendation tagging flickr tags social_software folksonomy iim_socsoft <span style="color:#555555;">B&#246;rkur <a href="http://www.bibsonomy.org/author/Sigurbj\&#034;{o}rnsson">Sigurbj&#246;rnsson</a> and Roelof van <a href="http://www.bibsonomy.org/author/Zwol">Zwol</a> </span><em>WWW '08: Proceeding of the 17th international conference on World Wide Web, </em><em>page327--336. </em><em>New York, NY, USA, </em><em>ACM, </em>(<em>2008</em>)Sat May 24 15:10:14 CEST 2008New York, NY, USAWWW '08: Proceeding of the 17th international conference on World Wide Web327--336Flickr tag recommendation based on collective knowledge2008recommendation tagging flickr tags social_software folksonomy iim_socsoft March 2008http://www.bibsonomy.org/bibtex/27a080f640fa62fc81e73b9fab1e7447c/hothohotho2008-04-26T13:11:10+02:00toread dynamics digg flickr social network <span style="color:#555555;">Kristina <a href="http://www.bibsonomy.org/author/Lerman">Lerman</a> </span><em>arXiv</em><em>Jan2007. </em>Sat Apr 26 13:11:10 CEST 2008arXivJanSocial Information Processing in Social News Aggregation2007toread dynamics digg flickr social network The rise of the social media sites, such as blogs, wikis, Digg and Flickr among others, underscores the transformation of the Web to a participatory medium in which users are collaboratively creating, evaluating and distributing information. The innovations introduced by social media has lead to a new paradigm for interacting with information, what we call 'social information processing'. In this paper, we study how social news aggregator Digg exploits social information processing to solve the problems of document recommendation and rating. First, we show, by tracking stories over time, that social networks play an important role in document recommendation. The second contribution of this paper consists of two mathematical models. The first model describes how collaborative rating and promotion of stories emerges from the independent decisions made by many users. The second model describes how a user's influence, the number of promoted stories and the user's social network, changes in time. We find qualitative agreement between predictions of the model and user data gathered from Digg.http://www.bibsonomy.org/bibtex/2f913a4ad3a27582ae5d4d269fe38dc5c/terracesterraces2008-04-05T15:11:04+02:00semantics flickr folksonomies tagging taxonomies <span style="color:#555555;">Patrick <a href="http://www.bibsonomy.org/author/Schmitz">Schmitz</a> </span><em>Proceedings of the Workshop on Collaborative Tagging at WWW2006, </em><em>Edinburgh, Scotland, </em><em>May2006. </em>Sat Apr 05 15:11:04 CEST 2008Edinburgh, ScotlandProceedings of the Workshop on Collaborative Tagging at WWW2006MayInducing Ontology from Flickr Tags2006semantics flickr folksonomies tagging taxonomies In this paper, we describe some promising initial results in inducing ontology from the Flickr tag vocabulary, using a subsumption-based model. We describe the utility of faceted ontology as a supplement to a tagging system and present our model and results. We propose a revised, probabilistic model using seed ontologies to induce faceted ontology, and describe how the model can integrate into the logistics of tagging communities.Structure and evolution of online social networkshttp://www.bibsonomy.org/bibtex/203874e666c56f22bce1b7db254420d77/andreabandreab2008-04-05T14:58:45+02:00imported network analysis yahoo structure 2006 models flickr social <span style="color:#555555;">Ravi <a href="http://www.bibsonomy.org/author/Kumar">Kumar</a> and Jasmine <a href="http://www.bibsonomy.org/author/Novak">Novak</a> and Andrew <a href="http://www.bibsonomy.org/author/Tomkins">Tomkins</a> </span><em>KDD '06: Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining, </em><em>page611--617. </em><em>New York, NY, USA, </em><em>ACM, </em>(<em>2006</em>)Sat Apr 05 14:58:45 CEST 2008New York, NY, USAKDD '06: Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining611--617Structure and evolution of online social networks2006imported network analysis yahoo structure 2006 models flickr social In this paper, we consider the evolution of structure within large online social networks. We present a series of measurements of two such networks, together comprising in excess of five million people and ten million friendship links, annotated with metadata capturing the time of every event in the life of the network. Our measurements expose a surprising segmentation of these networks into three regions: singletons who do not participate in the network; isolated communities which overwhelmingly display star structure; and a giant component anchored by a well-connected core region which persists even in the absence of stars.We present a simple model of network growth which captures these aspects of component structure. The model follows our experimental results, characterizing users as either passive members of the network; inviters who encourage offline friends and acquaintances to migrate online; and linkers who fully participate in the social evolution of the network.http://www.bibsonomy.org/bibtex/2f56571b67b4e70a7d108dc8529d4c937/dbenzdbenz2008-03-07T17:57:51+01:00tagging flickr improve_tags diploma_thesis folksonomy folksonomy_background delicious <span style="color:#555555;">Emma <a href="http://www.bibsonomy.org/author/Tonkin">Tonkin</a> and Marieke <a href="http://www.bibsonomy.org/author/Guy">Guy</a> </span><em>D-Lib</em><em>January2006. </em>Fri Mar 07 17:57:51 CET 2008D-LibJanuary1Folksonomies: Tidying Up Tags?122006tagging flickr improve_tags diploma_thesis folksonomy folksonomy_background delicious A folksonomy is a type of distributed classification system. It is usually created by a group of individuals, typically the resource users. Users add tags to online items, such as images, videos, bookmarks and text. These tags are then shared and sometimes refined. In this article we look at what makes folksonomies work. We agree with the premise that tags are no replacement for formal systems, but we see this as being the core quality that makes folksonomy tagging so useful.Flickr and public image-sharinghttp://www.bibsonomy.org/bibtex/2e4ba61bfa9cda72bc590166a414c6e4f/teresinateresina2008-03-06T14:41:54+01:00usage tagging flickr <span style="color:#555555;">Nancy A. <a href="http://www.bibsonomy.org/author/Van House">Van House</a> </span><em>CHI '07: CHI '07 extended abstracts on Human factors in computing systems, </em><em>page2717--2722. </em><em>New York, NY, USA, </em><em>ACM, </em>(<em>2007</em>)Thu Mar 06 14:41:54 CET 2008New York, NY, USACHI '07: CHI '07 extended abstracts on Human factors in computing systems2717--2722Flickr and public image-sharing: distant closeness and photo exhibition2007usage tagging flickr [0704.1676v1] Personalizing Image Search Results on Flickrhttp://www.bibsonomy.org/bibtex/287a423241a6e2789d2ed1f7dd402a3c6/teresinateresina2008-02-27T17:36:03+01:00tagging image_search iim_socsoft flickr <span style="color:#555555;">Kristina <a href="http://www.bibsonomy.org/author/Lerman">Lerman</a> and Anon <a href="http://www.bibsonomy.org/author/Plangprasopchok">Plangprasopchok</a> and Chio <a href="http://www.bibsonomy.org/author/Wong">Wong</a> </span>(<em>2007</em>)Wed Feb 27 17:36:03 CET 2008Personalizing Image Search Results on Flickr2007tagging image_search iim_socsoft flickr The social media site Flickr allows users to upload their photos, annotate them with tags, submit them to groups, and also to form social networks by adding other users as contacts. Flickr offers multiple ways of browsing or searching it. One option is tag search, which returns all images tagged with a specific keyword. If the keyword is ambiguous, e.g., ``beetle'' could mean an insect or a car, tag search results will include many images that are not relevant to the sense the user had in mind when executing the query. We claim that users express their photography interests through the metadata they add in the form of contacts and image annotations. We show how to exploit this metadata to personalize search results for the user, thereby improving search performance. First, we show that we can significantly improve search precision by filtering tag search results by user's contacts or a larger social network that includes those contact's contacts. Secondly, we describe a probabilistic model that takes advantage of tag information to discover latent topics contained in the search results. The users' interests can similarly be described by the tags they used for annotating their images. The latent topics found by the model are then used to personalize search results by finding images on topics that are of interest to the user.[0710.5697v1] Social Browsing & Information Filtering in Social Mediahttp://www.bibsonomy.org/bibtex/2a13a01a526ed78abbac8b551701afbac/teresinateresina2008-02-27T17:34:20+01:00iim_socsoft social_browsing digg information_filtering ben tagging social_networks flickr <span style="color:#555555;">Kristina <a href="http://www.bibsonomy.org/author/Lerman">Lerman</a> </span>(<em>2007</em>)Wed Feb 27 17:34:20 CET 2008Social Browsing \& Information Filtering in Social Media2007iim_socsoft social_browsing digg information_filtering ben tagging social_networks flickr Social networks are a prominent feature of many social media sites, a new generation of Web sites that allow users to create and share content. Sites such as Digg, Flickr, and Del.icio.us allow users to designate others as "friends" or "contacts" and provide a single-click interface to track friends' activity. How are these social networks used? Unlike pure social networking sites (e.g., LinkedIn and Facebook), which allow users to articulate their online professional and personal relationships, social media sites are not, for the most part, aimed at helping users create or foster online relationships. Instead, we claim that social media users create social networks to express their tastes and interests, and use them to filter the vast stream of new submissions to find interesting content. Social networks, in fact, facilitate new ways of interacting with information: what we call social browsing. Through an extensive analysis of data from Digg and Flickr, we show that social browsing is one of the primary usage modalities on these social media sites. This finding has implications for how social media sites rate and personalize content.[cs/0612047] Social Browsing on Flickrhttp://www.bibsonomy.org/bibtex/2cdfff79046e36ad5b1925c555f3ab99f/teresinateresina2008-02-27T15:49:06+01:00tagging social_browsing ben iim_socsoft web2.0 flickr social_software <span style="color:#555555;">Kristina <a href="http://www.bibsonomy.org/author/Lerman">Lerman</a> and Laurie <a href="http://www.bibsonomy.org/author/Jones">Jones</a> </span>(<em>2006</em>)Wed Feb 27 15:49:06 CET 2008Social Browsing on Flickr2006tagging social_browsing ben iim_socsoft web2.0 flickr social_software 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 activities in real time. The contacts (or friends) lists form the social network backbone of social media sites. We claim that these social networks facilitate new ways of interacting with information, e.g., through what we call social browsing. The contacts interface 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 creating personalized recommendation systems based on the user's declared contacts lists.http://www.bibsonomy.org/bibtex/200001781e46f97dffc01bf80b224e475/kwellerkweller2008-02-26T11:27:29+01:00ontology_maturing methodology folksonomy flickr ontology_enrichment <span style="color:#555555;">Patrick <a href="http://www.bibsonomy.org/author/Schmitz">Schmitz</a> </span><em>Collaborative Web Tagging Workshop at WWW2006, Edinburgh, Scotland, </em><em>May2006. </em>Tue Feb 26 11:27:29 CET 2008Collaborative Web Tagging Workshop at WWW2006, Edinburgh, ScotlandMayInducing Ontology from Flickr Tags2006ontology_maturing methodology folksonomy flickr ontology_enrichment http://www.bibsonomy.org/bibtex/2d9f433de0945351fa2157c1424d9fe67/dbenz_testdbenz_test2008-02-19T09:25:10+01:00folksonomy_background folksonomy tagging diploma_thesis del.icio.us taxonomy review bookmarking flickr comperative <span style="color:#555555;">Cameron <a href="http://www.bibsonomy.org/author/Marlow">Marlow</a> and Mor <a href="http://www.bibsonomy.org/author/Naaman">Naaman</a> and Danah <a href="http://www.bibsonomy.org/author/Boyd">Boyd</a> and Marc <a href="http://www.bibsonomy.org/author/Davis">Davis</a> </span><em>Proceedings of the Collaborative Web Tagging Workshop at the WWW 2006, </em><em>Edinburgh, Scotland, </em><em>May2006. </em>Tue Feb 19 09:25:10 CET 2008Edinburgh, ScotlandProceedings of the Collaborative Web Tagging Workshop at the WWW 2006May{Position Paper, Tagging, Taxonomy, Flickr, Article, ToRead}2006folksonomy_background folksonomy tagging diploma_thesis del.icio.us taxonomy review bookmarking flickr comperative In recent years, tagging systems have become increasingly popular. These systems enable users to add keywords (i.e., �tags�) to Internet resources (e.g., web pages, images, videos) without relying on a controlled vocabulary. Tagging systems have the potential to improve search, spam detection, reputation systems, and personal organization while introducing new modalities of social communication and opportunities for data mining. This potential is largely due to the social structure that underlies many of the current systems. Despite the rapid expansion of applications that support tagging of resources, tagging systems are still not well studied or understood. In this paper, we provide a short description of the academic related work to date. We offer a model of tagging systems, specifically in the context of web-based systems, to help us illustrate the possible benefits of these tools. Since many such systems already exist, we provide a taxonomy of tagging systems to help inform their analysis and design, and thus enable researchers to frame and compare evidence for the sustainability of such systems. We also provide a simple taxonomy of incentives and contribution models to inform potential evaluative frameworks. While this work does not present comprehensive empirical results, we present a preliminary study of the photosharing and tagging system Flickr to demonstrate our model and explore some of the issues in one sample system. This analysis helps us outline and motivate possible future directions of research in tagging systems.http://www.bibsonomy.org/bibtex/2f913a4ad3a27582ae5d4d269fe38dc5c/dbenz_testdbenz_test2008-02-19T09:25:04+01:00linguistics tagging web2.0 diploma_thesis informationretrieval flickr closely_related <span style="color:#555555;">Patrick <a href="http://www.bibsonomy.org/author/Schmitz">Schmitz</a> </span><em>Proceedings of the Workshop on Collaborative Tagging at WWW2006, </em><em>Edinburgh, Scotland, </em><em>May2006. </em>Tue Feb 19 09:25:04 CET 2008Edinburgh, ScotlandProceedings of the Workshop on Collaborative Tagging at WWW2006MayInducing Ontology from Flickr Tags2006linguistics tagging web2.0 diploma_thesis informationretrieval flickr closely_related In this paper, we describe some promising initial results in inducing ontology from the Flickr tag vocabulary, using a subsumption-based model. We describe the utility of faceted ontology as a supplement to a tagging system and present our model and results. We propose a revised, probabilistic model using seed ontologies to induce faceted ontology, and describe how the model can integrate into the logistics of tagging communities.http://www.bibsonomy.org/bibtex/2f56571b67b4e70a7d108dc8529d4c937/dbenz_testdbenz_test2008-02-19T09:24:51+01:00tagging delicious improve_tags flickr diploma_thesis folksonomy folksonomy_background <span style="color:#555555;">Emma <a href="http://www.bibsonomy.org/author/Tonkin">Tonkin</a> and Marieke <a href="http://www.bibsonomy.org/author/Guy">Guy</a> </span><em>D-Lib</em><em>January2006. </em>Tue Feb 19 09:24:51 CET 2008D-LibJanuary1Folksonomies: Tidying Up Tags?122006tagging delicious improve_tags flickr diploma_thesis folksonomy folksonomy_background A folksonomy is a type of distributed classification system. It is usually created by a group of individuals, typically the resource users. Users add tags to online items, such as images, videos, bookmarks and text. These tags are then shared and sometimes refined. In this article we look at what makes folksonomies work. We agree with the premise that tags are no replacement for formal systems, but we see this as being the core quality that makes folksonomy tagging so useful.SpringerLink - Buchkapitelhttp://www.bibsonomy.org/bibtex/203ab7d60d75c51fa45fcfcca01249c55/teresinateresina2008-01-30T16:09:57+01:00image_retrieval tagging iim_socsoft folksonomy flickr <span style="color:#555555;">Melanie <a href="http://www.bibsonomy.org/author/Aurnhammer">Aurnhammer</a> and Peter <a href="http://www.bibsonomy.org/author/Hanappe">Hanappe</a> and Luc <a href="http://www.bibsonomy.org/author/Steels">Steels</a> </span><em>The Semantic Web - ISWC 2006</em>(<em>2006</em>)Wed Jan 30 16:09:57 CET 2008The Semantic Web - ISWC 200658--71Augmenting Navigation for Collaborative Tagging with Emergent Semantics2006image_retrieval tagging iim_socsoft folksonomy flickr We propose an approach that unifies browsing by tags and visual features for intuitive exploration of image databases. In contrast to traditional image retrieval approaches, we utilise tags provided by users on collaborative tagging sites, complementedby simple image analysis and classification. This allows us to find new relations between data elements. We introduce theconcept of a navigation map, that describes links between users, tags, and data elements for the example of the collaborativetagging site Flickr. We show that introducing similarity search based on image features yields additional links on this map.These theoretical considerations are supported by examples provided by our system, using data and tags from real Flickr users.http://www.bibsonomy.org/bibtex/2e590cb9060a1a9017cce296012df33f6/yishyish2008-01-28T13:58:14+01:00wiki web2.0 syndication folksonomy seminal patterns flickr tagging blogs patternlanguagenetwork design <span style="color:#555555;">Tim <a href="http://www.bibsonomy.org/author/O’Reilly">O&#8217;Reilly</a> </span>(<em>2005</em>)Mon Jan 28 13:58:14 CET 20082005What is Web 2.0: Design Patterns and Business Models for the Next Generation of Software2005wiki web2.0 syndication folksonomy seminal patterns flickr tagging blogs patternlanguagenetwork design