| 摘要 |
Methods, systems, and apparatus, including computer program products, for personalized term importance evaluation in natural language queries are disclosed. The personalized term importance evaluation utilizes a personalized profile tree constructed using search history associated with a user. The personalized profile tree is a hierarchy of nodes representing categories of information that the user has previously searched or selected from search results. When a search query is received from the user, each term and phrase in the search query is compared against the nodes in the personalized profile tree, and an importance score is given to the search term or phrase based on the depth of a matching node in the tree, and a child count for the matching node. An alternative query can be generated from a subset of the search terms that have respective importance scores exceeding a predetermined threshold. |
