Nowadays the recommendation system has been widely used, especially in the field of e-commerce, SNS, music, etc. On the basis of recommendation systems which are widely used, the paper puts forward a theatre recommendation algorithm which is more suitable in the field of theatre. In order to achieve the recommendation of theatre, the paper uses a series of steps, including weight, bipartite graph, data standardization, similarity calculation. After using this algorithm, some theatres will be recommended according to recommendation level. The results of recommendation are more reasonable, effective and satisfied.
In order to improve the search speed and accuracy of recruitment information in online recruitment of "low carbon recruitment”, this paper designed the online recruitment information retrieval system. The recruitment information retrieval system developed by J2EE platform and RIA technology. And it used for the retrieval of recruitment information and the personal circumstances of applicants for companies. Firstly, this paper described the purpose of developing this system and some related retrieval technology. Secondly, it introduced the overall design and detailed design. Finally, it provided applicants with a friendly user interface so that applicants can quickly apply for jobs and thus achieved the purpose of energy conservation and emission reduction.
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