Patent ID: 8375036
Filing Date: 2013-02-12
Classification: G06F,G06K

Abstract:
1. A computer-implemented method, comprising: segmenting textual content for each of a plurality of distinct book content items into word strings, each word string including a predefined number of contiguous words in the textual content of a book content item; classifying word strings having a frequency of occurrence that is less than a threshold frequency of occurrence as uncommon word strings, the frequency of occurrence for each word string being a number of occurrences of the word string in the plurality of distinct book content items relative to a total number of word strings in the plurality of distinct book content items; identifying a pair of distinct book content items that each include a matching uncommon word string; representing the pair of distinct book content items as a graph in computer memory, where each of the distinct book content items of the pair is represented as a distinct node in the graph and where an edge exists in the graph between the distinct nodes that represent the distinct book content items of the pair, the edge indicating that the distinct book content items represented by the distinct nodes both include a matching uncommon word string; and determining a rank score for each distinct book content item of the pair based on the edges between the distinct nodes representing the pair of distinct book content items, the rank score being a score indicative of the importance of each distinct book content item relative to other distinct book content items.