Real-time Recommendation

**Table 1** **parameters** parameter description
Parameter	Mandatory	Description	Type	Value Range	Default Value
sources	Yes	Vertex ID. Multiple vertices are supported.	String	The number of source vertices cannot exceed the upper limit (30 by default, which can be changed using source_limit). Use commas (,) to separate the IDs.	-
alpha	No	Weight coefficient. A larger value indicates a longer step.	Double	A real number between 0 and 1 (excluding 0 and 1)	0.85
N	No	Total number of walk steps	Integer	1 to 200000	10000
nv	No	Parameter indicating that the walk process ends ahead of schedule: minimum number of access times of a potential recommended vertex NOTE: If a vertex is accessed during random walk and the number of access times reaches nv, the vertex will be recorded as the potential recommended vertex.	Integer	1 to 10	5
np	No	Parameter indicating that the walk process ends ahead of schedule: number of potential recommended vertices NOTE: If the number of potential recommended vertices of a source vertex reaches np, the random walk for the source vertex ends ahead of schedule.	Integer	1 to 2000	1000
label	No	Expected type of the vertex to be output. NOTE: Expected type of the vertex to be output. If the value is null, the original calculation result of the algorithm is output without considering the vertex type. If the value is not null, vertices with the label are filtered from the calculation result.	String	Vertex label	-
directed	No	Whether to consider the edge direction	Boolean	true or false	true
source_limit	No	Maximum number of source vertices	Int	1~100000	30
restricted	No	Whether to accept invalid source vertices restricted=true: If a vertex that does not exist in the graph is passed to sources, an error is reported. restricted=false: A vertex that does not exist in the graph can be passed to sources. However, if all source vertices do not exist, an error is reported.	Bool	true or false	true

**Table 2** **response_data** parameter description
Parameter	Type	Description
score	List	Score of each vertex, which reflects the recommendation degree. A larger value indicates a higher recommendation degree. The format is as follows: [{vertexId: scoreValue},...] where vertexId is of the string type. scoreValue is of the double type.
sources	List	ID of the source vertex