@book{balbymarinho2012recommender, abstract = {Social Tagging Systems are web applications in which users upload resources (e.g., bookmarks, videos, photos, etc.) and annotate it with a list of freely chosen keywords called tags. This is a grassroots approach to organize a site and help users to find the resources they are interested in. Social tagging systems are open and inherently social; features that have been proven to encourage participation. However, with the large popularity of these systems and the increasing amount of user-contributed content, information overload rapidly becomes an issue. Recommender Systems are well known applications for increasing the level of relevant content over the “noise” that continuously grows as more and more content becomes available online. In social tagging systems, however, we face new challenges. While in classic recommender systems the mode of recommendation is basically the resource, in social tagging systems there are three possible modes of recommendation: users, resources, or tags. Therefore suitable methods that properly exploit the different dimensions of social tagging systems data are needed. In this book, we survey the most recent and state-of-the-art work about a whole new generation of recommender systems built to serve social tagging systems. The book is divided into self-contained chapters covering the background material on social tagging systems and recommender systems to the more advanced techniques like the ones based on tensor factorization and graph-based models.}, author = {Balby Marinho, L. and Hotho, A. and Jäschke, R. and Nanopoulos, A. and Rendle, S. and Schmidt-Thieme, L. and Stumme, G. and Symeonidis, P.}, doi = {10.1007/978-1-4614-1894-8}, interhash = {0bb7f0588cd690d67cc73e219a3a24fa}, intrahash = {87d6883ebd98e8810be45d7e7e4ade96}, isbn = {978-1-4614-1893-1}, month = feb, publisher = {Springer}, series = {SpringerBriefs in Electrical and Computer Engineering}, title = {Recommender Systems for Social Tagging Systems}, url = {http://link.springer.com/book/10.1007/978-1-4614-1894-8}, year = 2012 } @inproceedings{ames2007motivations, abstract = {Why do people tag? Users have mostly avoided annotating media such as photos -- both in desktop and mobile environments -- despite the many potential uses for annotations, including recall and retrieval. We investigate the incentives for annotation in Flickr, a popular web-based photo-sharing system, and ZoneTag, a cameraphone photo capture and annotation tool that uploads images to Flickr. In Flickr, annotation (as textual tags) serves both personal and social purposes, increasing incentives for tagging and resulting in a relatively high number of annotations. ZoneTag, in turn, makes it easier to tag cameraphone photos that are uploaded to Flickr by allowing annotation and suggesting relevant tags immediately after capture.

A qualitative study of ZoneTag/Flickr users exposed various tagging patterns and emerging motivations for photo annotation. We offer a taxonomy of motivations for annotation in this system along two dimensions (sociality and function), and explore the various factors that people consider when tagging their photos. Our findings suggest implications for the design of digital photo organization and sharing applications, as well as other applications that incorporate user-based annotation.}, acmid = {1240772}, address = {New York, NY, USA}, author = {Ames, Morgan and Naaman, Mor}, booktitle = {Proceedings of the SIGCHI conference on Human factors in computing systems}, doi = {10.1145/1240624.1240772}, interhash = {bd24c17d66d2b904b3fc9444c2b64b44}, intrahash = {bc08f76536610f3f376bece5f0b46ad5}, isbn = {978-1-59593-593-9}, location = {San Jose, California, USA}, numpages = {10}, pages = {971--980}, publisher = {ACM}, series = {CHI '07}, title = {Why we tag: motivations for annotation in mobile and online media}, url = {http://doi.acm.org/10.1145/1240624.1240772}, year = 2007 } @inproceedings{lipczak2010impact, abstract = {Collaborative tagging systems are popular tools for organization, sharing and retrieval of web resources. Their success is due to their freedom and simplicity of use. To post a resource, the user should only define a set of tags that would position the resource in the system's data structure -- folksonomy. This data structure can serve as a rich source of information about relations between tags and concepts they represent. To make use of information collaboratively added to folksonomies, we need to understand how users make tagging decisions. Three factors that are believed to influence user tagging decisions are: the tags used by other users, the organization of user's personal repository and the knowledge model shared between users. In our work we examine the role of another potential factor -- resource title. Despite all the advantages of tags, tagging is a tedious process. To minimize the effort, users are likely to tag with keywords that are easily available. We show that resource title, as a source of useful tags, is easy to access and comprehend. Given a choice of two tags with the same meaning, users are likely to be influenced by their presence in the title. However, a factor that seems to have stronger impact on users' tagging decisions is maintaining the consistency of the personal profile of tags. The results of our study reveal a new, less idealistic picture of collaborative tagging systems, in which the collaborative aspect seems to be less important than personal gains and convenience.}, acmid = {1810648}, address = {New York, NY, USA}, author = {Lipczak, Marek and Milios, Evangelos}, booktitle = {Proceedings of the 21st ACM Conference on Hypertext and Hypermedia}, doi = {10.1145/1810617.1810648}, interhash = {a999b5f2eace0cd75028e57261afe3d7}, intrahash = {71dd1a473eaf0af9840758653746c221}, isbn = {978-1-4503-0041-4}, location = {Toronto, Ontario, Canada}, numpages = {10}, pages = {179--188}, publisher = {ACM}, series = {HT '10}, title = {The Impact of Resource Title on Tags in Collaborative Tagging Systems}, url = {http://doi.acm.org/10.1145/1810617.1810648}, year = 2010 } @phdthesis{jaschke2011formal, address = {Heidelberg}, author = {Jäschke, Robert}, interhash = {dcb2cd1cd72ae45d77c4d8755d199405}, intrahash = {bad02a0bbbf066907ecdee0ecaf9fb80}, isbn = {1-60750-707-2}, publisher = {Akad. Verl.-Ges. AKA}, series = {Dissertations in artificial intelligence}, title = {Formal concept analysis and tag recommendations in collaborative tagging systems}, url = {http://opac.bibliothek.uni-kassel.de/DB=1/PPN?PPN=231779038}, volume = 332, year = 2011 }