000			02436nam a2200265za04500
001			17513
008			050703s2011 gw eng d
020			_a9783642168987 99783642168987
082			_a006.3 _b223
100			_aRendle, Steffen. _eauthor. _934383
245			_aContext-Aware Ranking with Factorization Models _h[electronic resource] / _cby Steffen Rendle.
300			_aXII, 180p. 30 illus. _bonline resource.
490			_aStudies in Computational Intelligence
490			_x-1860-949X ; _v-330
505			_aPart I Overview -- Part II Theory -- Part III Application -- Part IV Extensions -- Part V Conclusion.
520			_aContext-aware ranking is an important task with many applications. E.g. in recommender systems items (products, movies, ...) and for search engines webpages should be ranked. In all these applications, the ranking is not global (i.e. always the same) but depends on the context. Simple examples for context are the user for recommender systems and the query for search engines. More complicated context includes time, last actions, etc. The major problem is that typically the variable domains (e.g. customers, products) are categorical and huge, the observations are very sparse and only positive events are observed. In this book, a generic method for context-aware ranking as well as its application are presented. For modelling a new factorization based on pairwise interactions is proposed and compared to other tensor factorization approaches. For learning, the `Bayesian Context-aware Ranking' framework consisting of an optimization criterion and algorithm is developed. The second main part of the book applies this general theory to the three scenarios of item, tag and sequential-set recommendation. Furthermore extensions of time-variant factors and one-class problems are studied. This book generalizes and builds on work that has received the `WWW 2010 Best Paper Award', the `WSDM 2010 Best Student Paper Award' and the `ECML/PKDD 2009 Best Discovery Challenge Award'.
650			_aEngineering. _996
650			_aArtificial intelligence. _933648
650			_aEngineering. _996
650			_aArtificial Intelligence (incl. Robotics). _923200
650			_933763 _aCOMPUTATIONAL INTELIGENCE
710			_aSpringerLink (Online service) _9111
856			_uhttp://springer.escuelaing.metaproxy.org/book/10.1007/978-3-642-16898-7 _yir a documento _qURL
942			_2ddc _cCF
999			_c14138 _d14138