Hybrid Web Recommender Systems Export

@incollection{citeulike:1668971, abstract = {Adaptive web sites may offer automated recommendations generated through any number of well-studied techniques including collaborative, content-based and knowledge-based recommendation. Each of these techniques has its own strengths and weaknesses. In search of better performance, researchers have combined recommendation techniques to build hybrid recommender systems. This chapter surveys the space of two-part hybrid recommender systems, comparing four different recommendation techniques and seven different hybridization strategies. Implementations of 41 hybrids including some novel combinations are examined and compared. The study finds that cascade and augmented hybrids work well, especially when combining two components of differing strengths.}, author = {Burke, Robin}, booktitle = {The Adaptive Web }, chapter = {12}, citeulike-article-id = {1668971}, citeulike-linkout-0 = {http://dx.doi.org/10.1007/978-3-540-72079-9_12}, citeulike-linkout-1 = {http://www.springerlink.com/content/9157265121203453}, doi = {10.1007/978-3-540-72079-9_12}, journal = {The Adaptive Web}, keywords = {adaptive-web, recommender}, pages = {377--408}, posted-at = {2009-10-20 21:14:14}, priority = {0}, series = {Lecture Notes in Computer Science}, title = {Hybrid Web Recommender Systems}, url = {http://dx.doi.org/10.1007/978-3-540-72079-9_12}, year = {2007} }

TY - CHAP ID - citeulike:1668971 L3 - citeulike-article-id:1668971 N2 - Adaptive web sites may offer automated recommendations generated through any number of well-studied techniques including collaborative, content-based and knowledge-based recommendation. Each of these techniques has its own strengths and weaknesses. In search of better performance, researchers have combined recommendation techniques to build hybrid recommender systems. This chapter surveys the space of two-part hybrid recommender systems, comparing four different recommendation techniques and seven different hybridization strategies. Implementations of 41 hybrids including some novel combinations are examined and compared. The study finds that cascade and augmented hybrids work well, especially when combining two components of differing strengths. JF - The Adaptive Web SE - Lecture Notes in Computer Science EP - 408 TI - Hybrid Web Recommender Systems T2 - The Adaptive Web SP - 377 KW - adaptive-web KW - recommender AU - Burke, Robin PY - 2007/// UR - http://dx.doi.org/10.1007/978-3-540-72079-9_12 ER -