Personalization engine for building a dynamic classification dictionary

摘要

A dynamic classification dictionary is built for use in profiling and targeting users for additional relevant content. Behavioral data is gathered from user activity, and user documents and actions are categorized. Author-generated document classification information is analyzed and assigned a first taxonomic noun to characterize the document. User-generated tags characterizing a portion of the document are assigned a second taxonomic noun. Search terms that resulted in the user accessing the document are identified and assigned a third taxonomic noun. Attributes related to the manner in which the document was accessed are evaluated and assigned a fourth taxonomic noun. The document is processed using pattern rules to extract a fifth taxonomic noun. The taxonomic nouns are aggregated into a composite set of taxonomic nouns, and the dynamic classification dictionary is built by storing the composite set of taxonomic nouns.

主权项

1. A computer-implemented method executed by one or more computing devices for building a dynamic classification dictionary, the method comprising:
extracting, by at least one of the one or more computing devices, one or more terms from information that characterizes a document; applying, by at least one of the one or more computing devices, a first pattern matching rule to the one or more terms to identify one or more taxonomic nouns in the one or more terms, the first pattern matching rule including comparing sequences of consecutive words in the document with known terms and, if a match exists, merging matching consecutive words into a multi-word term and, if a match does not exist, assigning a single word term as the one or more taxonomic nouns; applying, by at least one of the one or more computing devices, a second pattern matching rule to the one or more terms to determine at least one of a part-of-speech and a noun type associated with at least one taxonomic noun of the one or more taxonomic nouns, the second pattern matching rule being different from the first pattern matching rule; and building, by at least one of the one or more computing devices, a dynamic classification dictionary based on the one or more taxonomic nouns and at least one of the part-of-speech and noun type associated with the at least one taxonomic noun.