Attribute Extraction System for Agricultural SEM

As a rapidly booming industry in recent years, the key problem for Search Engine Marketing (SEM) is to extract web page attributes contributed to the ranking in search engine such as Google and Baidu. The quantitative analysis of these agricultural page attributes is aimed in this paper and the attribute extractor in Java platform is built. Meantime, in order to gain a sample set, a batch gaining method named AAA independent of Search Engine API is introduced and a downloader in Java platform is also designed. The experiment of batch gaining and attributes extracting from samples about certain keywords indicate that our method is effective and has a good performance.