Abstract
The SALSA algorithm combines the main features of the PageRank and the HITS, which achieves better results than PageRank and HITS algorithm. The SALSA divides the nodes into two types of authority and hub as the HITS algorithm and adopts the random walk mode like the PageRank. Here tries applying the SALSA algorithm to the scene that recommends actors for films and TV dramas. The basic data is crawled by web crawler from douban.com, and it contains 500 films and 500 TV dramas with their chief four actors and scores. In this experiment, the films and TV dramas are seen as hub nodes, and the actors are seen as authority node. After hundred interactions of SALSA algorithm, a network index of each node is calculated. The higher the value is, the more worthy of recommendation.