摘要:
An anti-spam technique for protecting search engine ranking is based on mining search engine optimization (SEO) forums. The anti-spam technique collects webpages such as SEO forum posts from a list of suspect spam websites, and extracts suspicious link exchange URLs and corresponding link formation from the collected webpages. A search engine ranking penalty is then applied to the suspicious link exchange URLs. The penalty is at least partially determined by the link information associated with the respective suspicious link exchange URL. To detect more suspicious link exchange URLs, the technique may propagate one or more levels from a seed set of suspicious link exchange URLs generated by mining SEO forums.
摘要:
An anti-spam technique for protecting search engine ranking is based on mining search engine optimization (SEO) forums. The anti-spam technique collects webpages such as SEO forum posts from a list of suspect spam websites, and extracts suspicious link exchange URLs and corresponding link formation from the collected webpages. A search engine ranking penalty is then applied to the suspicious link exchange URLs. The penalty is at least partially determined by the link information associated with the respective suspicious link exchange URL. To detect more suspicious link exchange URLs, the technique may propagate one or more levels from a seed set of suspicious link exchange URLs generated by mining SEO forums.
摘要:
Method for creating a graph representing web browsing behavior, including receiving web browsing behavior data from one or more web browsers; adding a node on the graph for each web page listed in the web browsing behavior data; adding a first link connecting two or more nodes on the graph, wherein the first link representing a hyperlink for accessing a webpage; calculating an amount of time in which each web page is being accessed; determining a number of units of time in the calculated amount of time; adding one or more virtual nodes to the graph based on the number of units of time; and adding a second link connecting two or more virtual nodes on the graph, wherein the second link representing a virtual hyperlink for accessing a webpage.
摘要:
An anti-spam tool works with a web browser to detect spam webpages locally on a client machine. The anti-spam tool can be implemented either as a plug-in module or an integral part of the browser, and manifested as a toolbar. The tool can perform an anti-spam action whenever a webpage is accessed through the browser, and does not require direct involvement of a search engine. A spam detection module installed on the computing device determines whether a webpage being accessed or whether a link contained in the webpage being accessed is spam, by comparing the URL of the webpage or the link with a spam list. The spam list can be downloaded from a remote search engine server, stored locally and updated from time to time. A two-level indexing technique is also introduced to improve the efficiency of the anti-spam tool's use of the spam list.
摘要:
Method for determining a webpage importance, including receiving web browsing behavior data of one or more users; creating a model of the web browsing behavior data; calculating a stationary probability distribution of the model; and correlating the stationary probability distribution to the webpage importance.
摘要:
Method for determining a webpage importance, including receiving web browsing behavior data of one or more users; creating a model of the web browsing behavior data; calculating a stationary probability distribution of the model; and correlating the stationary probability distribution to the webpage importance.
摘要:
A calculate importance system calculates the global importance of a web page based on a “mean hitting time.” Hitting time of a target web page is a measure of the minimum number of transitions needed to land on the target web page. Mean hitting time of a target web page is an average number of such transitions for all possible starting web pages. The calculate importance system calculates a global importance score for a web page based on the reciprocal of a mean hitting time. A search engine may rank web pages of a search result based on a combination of relevance of the web pages to the search request and global importance of the web pages based on a global hitting time.
摘要:
A method and system for determining temporal importance of documents having links between documents based on a temporal analysis of the links is provided. A temporal ranking system collects link information or snapshots indicating the links between documents at various snapshot times. The temporal ranking system calculates a current temporal importance of a document by factoring in the current importance of the document derived from the current snapshot (i.e., with the latest snapshot time) and the historical importance of the document derived from the past snapshots. To calculate the current temporal importance of a web page, the temporal ranking system aggregates the importance of the web page for each snapshot.
摘要:
Ranking documents based on a series of web graphs collected over time is provided. A ranking system provides multiple transition probability distributions representing different snapshots or times. Each transition probability distribution represents a probability of transitioning from one document to another document within a collection of documents using a link of the document. The ranking system determines a stationary probability distribution for each snapshot based on the transition probability distributions for that snapshot and the stationary probability distribution of the previous snapshot. The stationary probability distributions represent a ranking of the documents over time.
摘要:
A calculate importance system calculates the global importance of a web page based on a “mean hitting time.” Hitting time of a target web page is a measure of the minimum number of transitions needed to land on the target web page. Mean hitting time of a target web page is an average number of such transitions for all possible starting web pages. The calculate importance system calculates a global importance score for a web page based on the reciprocal of a mean hitting time. A search engine may rank web pages of a search result based on a combination of relevance of the web pages to the search request and global importance of the web pages based on a global hitting time.