Design of Pitch Control Software Infrastructure Based on Collaborative Filtering Algorithm

The pitch control of electronic equipment is the overall and key problem system. traditional mainly depends on volume table, but this method too much hardware design, corresponding effect relatively unstable, cost high. Based research software, project improves collaborative filtering algorithm reduces range nearest neighbour set samples by introducing clustering algorithm, to further shorten search time finally improve real scalability To adapt environment user preferences, study proposes calculate attributes between different items when improving so as determine unique similarity items, introduce preference correction factor based attributes, realize high precision software recommendation setting. this, takes improved core build a digital TV system realizes verification proposed in MATLAB simulation software. experimental results show that accuracy about 10% higher than algorithm. In terms intelligence has obvious advantages compared with At same time, its intelligent users also intelligence, rate 4%–10% which proves advantages.