| 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 53 hybrids
including some novel combinations are examined and experimentally
evaluated. The study finds that cascade and augmented hybrids work well,
especially when the two components have differing strengths. |