Google Patent to rank personalized pages based on bookmarking:
Written by seg
@ 10:45 PM
permanent link on
Sunday, May 10, 2009
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I am thinking about crawling social media profiles and links shared on those profiles, to which you link on your Google profiles, maybe even Gmail and gchat; and of course sites you join on Google friend connect; and what you share through Google and Google reader. And once they identify your twitter hyperlinked idiosyncrasies, they could then discover those of your followers and rank documents based on what everyone loves... or loves to spam ;)
And ultimately distinguishing what one and one's followers and friends truly love and love to spam, is the feature measuring you're 'linger time:'
1. A computer-implemented method, the method comprising: receiving a search query from a user; receiving a request from the user to personalize a search result; responsive to the search query and the request to personalize the search result, generating a personalized search result by searching a personalized search object; responsive to the search query, generating a general search result by searching a general search object; providing the personalized search result and the general search result for display; selecting an advertisement based at least in part upon the personalized search object; and providing the advertisement for display.
2. The method of claim 1, wherein the personalized search object comprises an article associated with a bookmark.
3. The method of claim 2, wherein an index associated with the bookmark is stored on a server remote from a client with which the bookmark is associated.
4. The method of claim 2, wherein an index associated with the bookmark is stored on a client with which the bookmark is associated wherein searching of the personalized search object is performed by a client-side agent.
5. The method of claim 1, wherein the general search object comprises an index of articles.
6. The method of claim 5, wherein the index comprises an index of articles associated with a global computer network.
7. The method of claim 1, wherein the general search object comprises a plurality of global indices.
8. The method of claim 1, wherein the personalized search object comprises a plurality of bookmarks.
9. The method of claim 1, wherein the personalized search object comprises an annotation.
10. The method of claim 1, wherein the personalized search object comprises a rating.
11. The method of claim 1, further comprising identifying a user cluster based at least in part on the personalized search object and providing to the user a suggestion of another user with which to network based on the user cluster.
12. The method of claim 1, further comprising identifying the personalized search object based at least in part on an implicit measure of the user's interest.
13. The method of claim 12, wherein the implicit measure of the user's interest comprises a history of user accesses.
14. The method of claim 12, wherein the history of user accesses comprises at least one of: a period of linger time, a quantity of repeat visits, and a quantity of click-through.
15. A computer storage medium encoded with a computer program, the computer program comprising instructions that when executed cause a computer to perform operations comprising: receiving a search query from a user; receiving a request from the user to personalize the search result; responsive to the search query and the request to personalize the search result, generating a personalized result by searching a personalized search object; responsive to the search query, generating a general result by searching a general search object; providing the personalized search result and the general search result for display; and providing an advertisement for display on a browser based at least in part on one of the personalized search result and the general search result.
16. The computer storage medium of claim 15, wherein the instructions when executed cause the computer to perform operations further comprising identifying a cluster of users based at least in part on the personalized search object.
17. The computer storage medium of claim 15, wherein the instructions when executed cause the computer to perform operations further comprising identifying the personalized search object based at least in part on an implicit measure of the user's interest.
And ultimately distinguishing what one and one's followers and friends truly love and love to spam, is the feature measuring you're 'linger time:'
1. A computer-implemented method, the method comprising: receiving a search query from a user; receiving a request from the user to personalize a search result; responsive to the search query and the request to personalize the search result, generating a personalized search result by searching a personalized search object; responsive to the search query, generating a general search result by searching a general search object; providing the personalized search result and the general search result for display; selecting an advertisement based at least in part upon the personalized search object; and providing the advertisement for display.
2. The method of claim 1, wherein the personalized search object comprises an article associated with a bookmark.
3. The method of claim 2, wherein an index associated with the bookmark is stored on a server remote from a client with which the bookmark is associated.
4. The method of claim 2, wherein an index associated with the bookmark is stored on a client with which the bookmark is associated wherein searching of the personalized search object is performed by a client-side agent.
5. The method of claim 1, wherein the general search object comprises an index of articles.
6. The method of claim 5, wherein the index comprises an index of articles associated with a global computer network.
7. The method of claim 1, wherein the general search object comprises a plurality of global indices.
8. The method of claim 1, wherein the personalized search object comprises a plurality of bookmarks.
9. The method of claim 1, wherein the personalized search object comprises an annotation.
10. The method of claim 1, wherein the personalized search object comprises a rating.
11. The method of claim 1, further comprising identifying a user cluster based at least in part on the personalized search object and providing to the user a suggestion of another user with which to network based on the user cluster.
12. The method of claim 1, further comprising identifying the personalized search object based at least in part on an implicit measure of the user's interest.
13. The method of claim 12, wherein the implicit measure of the user's interest comprises a history of user accesses.
14. The method of claim 12, wherein the history of user accesses comprises at least one of: a period of linger time, a quantity of repeat visits, and a quantity of click-through.
15. A computer storage medium encoded with a computer program, the computer program comprising instructions that when executed cause a computer to perform operations comprising: receiving a search query from a user; receiving a request from the user to personalize the search result; responsive to the search query and the request to personalize the search result, generating a personalized result by searching a personalized search object; responsive to the search query, generating a general result by searching a general search object; providing the personalized search result and the general search result for display; and providing an advertisement for display on a browser based at least in part on one of the personalized search result and the general search result.
16. The computer storage medium of claim 15, wherein the instructions when executed cause the computer to perform operations further comprising identifying a cluster of users based at least in part on the personalized search object.
17. The computer storage medium of claim 15, wherein the instructions when executed cause the computer to perform operations further comprising identifying the personalized search object based at least in part on an implicit measure of the user's interest.
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