Pushing method and system supporting open source project fragmentation learning
A fragmented and project-based technology, applied in the field of push systems that support fragmented learning of open source projects, it can solve problems such as difficulty in quickly finding the functions you need, file knowledge information, lack of systematic cognition in open source projects, and low learning efficiency. , to achieve the effect of improving learning efficiency
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Embodiment 1
[0034] figure 1 It is a flow chart of the steps of an embodiment of a push method supporting fragmented learning of open source projects provided by the present invention.
[0035] refer to figure 1 As shown, the push method for supporting fragmented learning of open source projects provided by this embodiment is applied to open source projects in the open source community, and the specific push method for supporting fragmented learning of open source projects includes the following steps:
[0036] Step S101, construct the knowledge map of the open source project, and generate the embedded representation of the knowledge map.
[0037] The knowledge graph was first applied to search engines. When a user uses a search engine to search and understand a piece of knowledge, the search engine can use the knowledge graph to identify the object that the user specifically refers to. For example, when a user searches for the showtimes of a play, the results for the novel of the same n...
Embodiment 2
[0096] refer to Figure 15 , which shows a structural block diagram of an embodiment of a push system supporting open source project fragmentation learning provided by the present invention, the optimization system of the open source project knowledge map specifically includes:
[0097] The knowledge map construction module 201 is used to construct the knowledge map of the open source project, and generate the embedded representation of the knowledge map.
[0098]The entry node analysis module 202 is used to analyze and obtain the learning entry nodes of the knowledge map.
[0099] The path recommendation module 203 is used to pre-design the learning path recommendation algorithm of the project code. Based on the learning path recommendation algorithm, the learning entry node is used as the starting point of the path, and the user's target node is used as the end point of the path to perform path search to obtain A plurality of reachable paths, selecting the path with the wid...
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