This chapter covers collaborative filtering methods for reciprocal recommendation, with a focus on two main algorithms. RCF is a representative example of a neighborhood method for reciprocal recommendation, also inclduding an example, complexity analysis and code samples. LFRR is a latent factor model for reciprocal recommendation, which is slightly more complex to implement, but improves on performance and efficiency metrics.