G06N99005
Please help me predict the CPC LABEL for this patentPATENT ABSTRACT: User interest learning through hierarchical interest graph techniques are described. In one or more implementations, each of a plurality of categories in a directed hierarchical interest graph are assigned a distance value which represents a shortest distance in the directed hierarchical interest graph from a root category to the category. A list of keywords is formed from user data that denotes a corresponding said category and frequency of the category. A maximum of the frequencies amongst the plurality of categories is determined and a score is calculated for each of the keywords based on the frequency of the category, the maximum of the frequencies, and the distance value for the keyword. Increments of scores may be propagated from child categories to parent categories in the hierarchical interest graph such that greater weighting is given to child categories that are less abstract than parent categories in the directed graph. Further, the scores of the plurality of categories may be adjusted based on subsequent scores calculated from subsequent user data.