Page Ranking Based on a Behavioral WEB Graph

• US 20080313247A1
• Filed: 12/06/2007
• Published: 12/18/2008
• Est. Priority Date: 06/12/2007
• Status: Abandoned Application

• Current Assignee: Tethys Prime, Inc.
• Original Assignee: Tethys Prime, Inc.
• Inventors: Galvin, Brian
• Application Number:
  US11/951,721
• Publication Number:
  US 20080313247A1
• Time in Patent Office: Days
• US Class Current: 708/200
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques

Abstract

A computer implemented method for scoring a first network node comprising data accessible to a user when connected to the network has steps of (a) determining at least an approximate probability for the first network node that a user not connected to the node will connect to the first node before connecting to any other node; and (b) assigning a score to the node based at least in part on the determined probability.

Claims

1. A computer implemented method for scoring a first network node comprising data accessible to a user when connected to the network, comprising the steps of:

(a) determining at least an approximate probability for the first network node that a user not connected to the node will connect to the first node before connecting to any other node; and

(b) assigning a score to the node based at least in part on the determined probability.

2. The method of claim 1 wherein the network is the Internet Network, and the first node is a first Web page.

3. The method of claim 2 wherein the user not connected to the first Web page is connected to a second Web page, and the approximate probability is a probability that the user will connect from the second Web page to the first Web page.

4. The method claim 3 further comprising a step for determining an approximate probability that a user not connected to the second Web page will connect to the second Web page before connecting to any other page in the network, and wherein in step (b) the score is assigned for the first page based at least in part on the probability for each of the first and second pages.

6. The system of claim 3 wherein the network is the Internet network and the nodes are Web pages.

7. The system of claim 6 wherein the user not connected to the first Web page is connected to a second Web page, and the approximate probability is a probability that the user will connect from the second Web page to the first Web page.

5. A system for scoring a specific network node comprising data accessible to a user when connected to the network, comprising:

a network-connected server having a data store comprising probability data regarding a plurality of network nodes, including the specific network node, the data indicating at least an approximate probability that a user not connected to the specific node will connect to the specific node before connecting to any other node in the network; and

a mechanism for determining a score for the specific node;

wherein the mechanism for determining a score determines the score for the specific node at least in part based on the approximate probability.

9. The medium of claim 5 wherein, in the method the network is the Internet network and the nodes are Web pages.

10. The medium of claim 9 wherein the user not connected to the first Web page is connected to a second Web page, and the approximate probability is a probability that the user will connect from the second Web page to the first Web page.

8. A machine-readable storage medium comprising a set of instructions for causing a machine to perform a method including:

(a) determining at least an approximate probability for the network node that a user not connected to the node will connect to the node before connecting to any other node; and

(b) assigning a score to the node based at least in part on the determined probability.