A system for determine session, visitor, advertiser and/or website click quality scores includes a data warehouse collected from a plurality of websites, a method of determining whether a goal established for a website is achieved, a data mining system for adjusting the value of certain actions taken by a visitor to a website in accomplishing the websites ultimate goal, and a subsystem for reporting click quality scores to users of the system. For example, the system uses a script included in each page of each website monitored by the system to capture data in the data warehouse. The method for determining whether a goal is achieved may include assigning a website goal associated with access to a category of a page and recording the achievement of the goal or goals, when a visitor in a session accesses a page or pages of the specified category. The subsystem for reporting may assist in analyzing the quality of visitors, the quality of visitors referred by a particular referral source, and the quality of a website, including any effects of changes made to the website or in comparison to other websites monitored by the system.

System for rating quality of online visitors

An exemplary method for protecting web browsers from spam includes providing a multi-layer model that includes a doorway layer, a redirection domain layer, an aggregator layer, a syndicator layer and an advertiser layer; identifying domains as being associated with at least one of the layers; and, based at least in part on the identifying, taking one or more corrective actions to protect web browsers from search spam. An exemplary method for identifying a bottleneck layer in a multi-layer spam model includes providing a multi-layer spam model, collecting spam advertisements, associating a block of IP addresses with the collected spam advertisements and identifying a bottleneck layer based on the block of IP addresses. Other methods, systems, etc., are also disclosed.

Search Ranger System and Double-Funnel Model for Search Spam Analyses and Browser Protection

Many computing scenarios involve an item cache or index, comprising items corresponding to source items that may change without notice, rendering the item in the item cache or index stale. It may not be possible to guarantee the freshness of the items, but it may be desirable to reduce staleness in an efficient manner. Therefore, the refreshing of items may be prioritized by first predicting the query frequency of respective item representing the rate at which an item is retrieved from the item cache (e.g., by monitoring queries for the item), predicting an update frequency representing the rate at which the source item is updated by the source item host (e.g., by classifying the source item type), and computing a refresh utility representing the improvement in cache freshness achieved by refreshing the item. Respective items may then be prioritized for refreshing according to the computed refresh utilities.

Cache and index refreshing strategies for variably dynamic items and accesses

According to the invention, a method for automatically determining an appraisal value of a web site is disclosed. The method may include obtaining machine observable information from the web site and determining a machine observable characteristic of the web site based at least in part on the machine observable information from the web site. The method may also include storing at least one of the machine observable information from the web site, and the machine observable characteristic of the web site. The method may further include determining the appraisal value of the web site based at least in part on at least one of the machine observable information from the web site, and the machine observable characteristic of the web site.

Web site valuation

Standard web content search result relevance and ranking is improved by considering certain social reference data, such as the number of times an item of content is shared, normalized for the number of times it is viewed. A system and method for improving the relevance and ranking includes a system and method for tracking the social references and a system and method for operating on search engine results to either re-order the results based on social reference data, re-order the search results based on a combination of the social reference data and the web search engine's ordering, and/or display the social reference data either with the search results reordered or in the order provided by the web search engine. Many different forms of data constitute social reference, including sharing content or a link thereto by email, SMS, posting to a link-sharing site, blog, and bookmarking in a web browser.

Page ranking system employing user sharing data

A system and method for prioritizing a fetch order of web pages. The method comprises extracting by a web crawler a set of candidate web pages to be crawled. Each web page in the set of candidate web pages is associated with a website in a computer network. A determination is made to determine if a first website score for the website is in a website score database. The first website score is associated with web pages in the set of candidate web pages if the first website score exists in the website score database. The set of candidate web pages is prioritized with respect to an associated website score for each web page in the candidate set of web pages. Content is retrieved from the set of candidate web. Hyperlinks are extracted from the content. The hyperlinks are stored in a memory unit.

System and method for prioritizing websites during a webcrawling process

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System and method for prioritizing websites during a webcrawling process