36 results about "Web page ranking" patented technology

The described systems, methods and data structures are directed to ranking Web pages with hierarchical considerations. The hierarchical structures and the linking relationships of the World Wide Web are used to provide a page importance ranking for Web searches. The linking relationships are aggregated to a high level node at each of the hierarchical structures. A link graph analysis is performed on the aggregated linking relationships to determine the importance of each node. The importance of each node may be propagated to pages associated with that node. For each page, the importance of that page and the importance of the node associated with the page are used to calculate the page importance ranking.

Methods and systems are provided for efficiently computing personalized rankings of web pages or other interconnected objects. The personalized rankings are produced by efficiently computing an approximation matrix to an ideal personalized page ranking matrix. The methods and systems provided herein can be used to produce search results with particular relevance to an individual searcher.

Path-based ranking of unvisited Web pages for WWW crawling is provided, via identifying all the paths beginning with a “seed” URL and leading to visited relevant web pages as “good-path set”, and for each unvisited web page, identifying the paths beginning from the “seed” URL leading to it as “partial-path set”; classifying all the visited web pages and labeling each web Page with the labels of a class or classes it belongs to; training a statistic model for generalizing the common patterns among all ones of “good-path set”; and evaluating the “partial-path set” with the statistic model and ranking the unvisited web pages with the evaluation results.

Methods and systems are provided for efficiently computing page rankings of web pages or other interconnected objects. The rankings are produced by efficiently computing a principal eigenvector of a page ranking transition matrix. The methods and systems provided herein can be used to produce page rankings in a distributed and / or incremental manner, and can be used to allocate computing resources to processing page rankings for those pages that most demand them.

The invention provides a webpage sequencing method based on a random forest algorithm. The method includes the steps of obtaining keywords and keyword candidate words corresponding to search webpages;calculating the word frequencies and weights of the keywords or keyword candidate words corresponding to the search webpages; calculating PR values of quality related indexes of the search webpages;calculating pivot values and weight values of the search webpages; calculating the relevance between the recently browsed webpages and the search webpages and the product of TF-IDF values of the keywords and keyword candidate words of the recently browsed webpages; calculating whether an output index is larger than a set threshold or not, wherein the output index is the product of the number of times of a user for browsing the search webpages beyond stipulated access time and a certain function of the webpage staying time meeting the conditions; establishing a random forest model and recordinga corresponding result; calculating final search webpage scores and conducting sequencing. Compared with the prior art, a traditional HITS algorithm is improved to a certain extent by means of a random forest method, the service experience of the user is improved, and information is better and more accurate.

Provided are a web page ranking method and system in the cross-language search. The web page ranking method in the cross-language search includes: obtaining a first language search request; translating the first language search request into a second language search request; searching to obtain a plurality of second language web pages using the second language search request; translating the plurality of second language web pages into a plurality of first language web pages; and ranking the plurality of first language web pages according to the translation confidence of the plurality of second language web pages. In this way, the search results after translation are ranked according to the translation confidence, thus improving user experience.