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Objective To build capability verification public service platform based on the proposed recommendation algorithm. Methods Using big data and artificial intelligence related technologies, after the preprocessing of the ability verification data over the years, the recommendation algorithm model of the supply and demand matching between the provider and the participant is established and trained. After the training meets the requirements, the recommendation accuracy of the algorithm is verified in the core business process of the ability verification. Further explore the needs of all parties in the field of capability verification, integrate the resources of all parties in the field of capability verification, and build a national public service platform for capability verification by using unified data specification, unified business process and unified business description method. Results By using this algorithm model, the supply and demand matching of the providers and participants in the capability verification service on the platform has a better fit than other platforms without using the algorithm. Conclusion The construction of the public service platform for capability verification based on recommendation algorithm
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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