By Leandro Balby Marinho,Andreas Hotho,Robert Jäschke,Alexandros Nanopoulos,Steffen Rendle,Lars Schmidt-Thieme,Gerd Stumme,Panagiotis Symeonidis

Social Tagging structures are internet functions during which clients add assets (e.g., bookmarks, movies, photographs, etc.) and annotate it with an inventory of freely selected key phrases known as tags. this can be a grassroots method of manage a website and support clients to discover the assets they're attracted to. Social tagging structures are open and inherently social; good points which were confirmed to motivate participation. despite the fact that, with the massive approval for those platforms and the expanding quantity of user-contributed content material, details overload speedily turns into a subject matter. Recommender platforms are renowned functions for expanding the extent of correct content material over the “noise” that constantly grows as an increasing number of content material turns into on hand on-line. In social tagging structures, even if, we are facing new demanding situations. whereas in vintage recommender platforms the mode of advice is largely the source, in social tagging platforms there are 3 attainable modes of advice: clients, assets, or tags. as a result appropriate tools that appropriately take advantage of different dimensions of social tagging platforms info are wanted. during this publication, we survey the newest and cutting-edge paintings a few entire new new release of recommender platforms outfitted to serve social tagging platforms. The ebook is split into self-contained chapters overlaying the history fabric on social tagging structures and recommender platforms to the extra complex concepts just like the ones in response to tensor factorization and graph-based models.

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Recommender Systems for Social Tagging Systems (SpringerBriefs in Electrical and Computer Engineering) by Leandro Balby Marinho,Andreas Hotho,Robert Jäschke,Alexandros Nanopoulos,Steffen Rendle,Lars Schmidt-Thieme,Gerd Stumme,Panagiotis Symeonidis


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