Verwandte Artikel zu Probabilistic Approaches to Recommendations (Synthesis...
Probabilistic Approaches to Recommendations (Synthesis Lectures on Data Mining and Knowledge Discovery) - Softcover
Inhaltsangabe
Páginas:198Géneros:12:UNF:DataminingSinopsis:Theimportanceofaccuraterecommendersystemshasbeenwidelyrecognizedbyacademiaandindustry,andrecommendationisrapidlybecomingoneofthemostsuccessfulapplicationsofdataminingandmachinelearning.Understandingandpredictingthechoicesandpreferencesofusersisachallengingtask
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Reseña del editor
The importance of accurate recommender systems has been widely recognized by academia and industry, and recommendation is rapidly becoming one of the most successful applications of data mining and machine learning. Understanding and predicting the choices and preferences of users is a challenging task: real-world scenarios involve users behaving in complex situations, where prior beliefs, specific tendencies, and reciprocal influences jointly contribute to determining the preferences of users toward huge amounts of information, services, and products. Probabilistic modeling represents a robust formal mathematical framework to model these assumptions and study their effects in the recommendation process. This book starts with a brief summary of the recommendation problem and its challenges and a review of some widely used techniques Next, we introduce and discuss probabilistic approaches for modeling preference data. We focus our attention on methods based on latent factors, such as mixture models, probabilistic matrix factorization, and topic models, for explicit and implicit preference data. These methods represent a significant advance in the research and technology of recommendation. The resulting models allow us to identify complex patterns in preference data, which can be exploited to predict future purchases effectively. The extreme sparsity of preference data poses serious challenges to the modeling of user preferences, especially in the cases where few observations are available. Bayesian inference techniques elegantly address the need for regularization, and their integration with latent factor modeling helps to boost the performances of the basic techniques. We summarize the strengths and weakness of several approaches by considering two different but related evaluation perspectives, namely, rating prediction and recommendation accuracy. Furthermore, we describe how probabilistic methods based on latent factors enable the exploitation of preference patterns in novel applications beyond rating prediction or recommendation accuracy. We finally discuss the application of probabilistic techniques in two additional scenarios, characterized by the availability of side information besides preference data. In summary, the book categorizes the myriad probabilistic approaches to recommendations and provides guidelines for their adoption in real-world situations.
Biografía del autor
Yahoo Labs, Barcelona, Spain
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
- VerlagMorgan & Claypool Publishers
- Erscheinungsdatum2014
- ISBN 10 1627052577
- ISBN 13 9781627052573
- EinbandTapa blanda
- SpracheEnglisch
- Anzahl der Seiten198
Suchergebnisse für Probabilistic Approaches to Recommendations (Synthesis...
Beispielbild für diese ISBN
Probabilistic Approaches to Recommendations
Anbieter: ThriftBooks-Atlanta, AUSTELL, GA, USA
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: Very Good. No Jacket. Former library book; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 0.77. Artikel-Nr. G1627052577I4N10
Anzahl: 1 verfügbar
Foto des Verkäufers
Probabilistic Approaches to Recommendations (Synthesis Lectures on Data Mining and Knowledge Discovery)
Verlag:
Morgan & Claypool Publishers, 2014
ISBN 10: 1627052577
ISBN 13: 9781627052573
Gebraucht
Softcover
Anbieter: WeBuyBooks, Rossendale, LANCS, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Zustand: Good. Most items will be dispatched the same or the next working day. A copy that has been read but remains in clean condition. All of the pages are intact and the cover is intact and the spine may show signs of wear. The book may have minor markings which are not specifically mentioned. Artikel-Nr. wbs8641143738
Anzahl: 1 verfügbar