Methods and apparatus for integrating search results of a local search engine with search results of a global generic search engine

• US 10,248,725 B2
• Filed: 01/11/2016
• Issued: 04/02/2019
• Est. Priority Date: 06/02/2015
• Status: Active Grant

• Current Assignee: Gartner, Inc.
• Original Assignee: Gartner, Inc.
• Inventors: Gelfand, Michael, Michel, Zeevi, Polonsky, Nir
• Primary Examiner(s): Mobin, Hasanul
• Application Number:
  US14/992,232
• Publication Number:
  US 20160357756A1
• Time in Patent Office: 1,177 Days
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34

Abstract

Methods and apparatus for simultaneously searching public and private information sources are provided. When a user implements a key word search of a public search engine via a web browser, the same key word search is automatically simultaneously implemented of a private information source to locate at least one of user contacts and documents relevant to the key word search. The user contacts and/or the documents returned from the private information source may be scored for relevancy to the key word search. Public search results are returned to the user based on the key word search of the public search engine. In addition, up to N most relevant of the at least one of the user contacts and the documents obtained from the private information source may be returned to the user in a side bar of the web browser adjacent to the public search results.

Claims

1. A computerized method for simultaneously searching public and private information sources, comprising:

implementing, by a user, a key word search of a public search engine via a web browser;

simultaneously automatically implementing the key word search of a private external information source to locate at least one of user contacts and documents relevant to the key word search;

scoring the at least one of the user contacts and the documents returned from the private external information source for relevancy to the key word search;

returning public search results to the user in a main section of a web browser display based on the key word search of the public search engine;

modifying the web browser display to comprise a side bar viewing window adjacent the main section of the web browser display; and

returning a predetermined number of most relevant of the at least one of the user contacts and the documents obtained from the private external information source to the user in the side bar viewing window of the web browser display adjacent to the public search results displayed on the main section of the web browser display;

wherein;

the scoring of the user contacts and the documents returned from the private external information source further comprises ordering the user contacts and the documents by relevancy to key words or topics derived from at least one of the key word search or the public search results;

the private external information source comprises a recommendation system comprising at least one of a document recommendation engine comprising a document database for the documents and an expert recommendation engine comprising an expert database identifying experts and corresponding areas of expertise; and

identifying information for the experts from the expert database which are relevant to the key word search is displayed in the side bar viewing window.

2. The method in accordance with claim 1, further comprising:

enabling access to the private external information source by automatically logging into the private external information source using stored access information for the private external information source.

3. The method in accordance with claim 1, further comprising:

connecting to external user accounts;

analyzing the external user accounts to locate information comprising at least one of the user contacts, contact information, and documents associated with the user contacts;

indexing the user contacts, the contact information, and the documents; and

storing the indexed user contacts, the indexed contact information, and the indexed documents.

4. The method in accordance with claim 3, further comprising:

extracting the information from the external accounts; and

tagging the extracted information to indicate important topics or areas of strength of the corresponding contact.

5. The method in accordance with claim 4, wherein the information extracted from the external accounts comprises at least one of contact name, photo, bio, experience summary, skill set, background, and associated groups or affiliations.

6. The method in accordance with claim 3, further comprising:

creating or updating an implicit profile of the user with the indexed user contacts, the indexed contact information, and the indexed documents.

7. The method in accordance with claim 6, wherein the implicit profile comprises user-related information derived from:

tracking the user'"'"'s behavior on at least one of one or more electronic devices, an electronic communications network, and a website used to access the recommendation system;

analyzing the user-related information derived from the user behavior to extract or derive key words therefrom which are used to characterize user interests, expertise, and skills; and

storing the key words in a profiles database as the implicit profile.

8. The method in accordance with claim 6, further comprising:

tracking user'"'"'s actions on the web browser; and

updating the user'"'"'s implicit profile based on the user'"'"'s actions.

9. The method in accordance with claim 8, wherein the user'"'"'s actions comprise at least one of key word searches entered, the public search results viewed by the user, the user contacts from the private external information source contacted, and the documents returned from the private external information source viewed by the user.

10. The method in accordance with claim 6, wherein at least one of the indexing of the user contacts, the contact information, and the documents and the updating of the implicit profile occurs at least one of periodically, at user login to the private external information source, and upon a change in one of the user external accounts.

11. The method in accordance with claim 3, wherein the user contacts comprise direct user contacts and indirect user contacts obtained or derived from the direct user contacts.

12. The method in accordance with claim 1, wherein the key words or topics are extracted from the at least one of the key word search and the public search results using natural language processing techniques.

13. The method in accordance with claim 1, wherein the user contacts or the documents with relevancy to more than one of the topics or key words are scored higher than the user contacts or the documents having relevancy to only one of the topics or key words.

14. The method in accordance with claim 12, further comprising:

storing information relating to the topics and key words in a database of the recommendation system.

15. The method in accordance with claim 1, wherein in the event at least the predetermined number of the user contacts and/or the documents are not returned in the key word search, further comprising:

deriving one or more topics from the key word search; and

expanding the scope of the search of the private external information source to include at least one parent or child topics corresponding to the one or more topics.

16. The method in accordance with claim 15, the at least one of the parent or the child topics are obtained from a taxonomy database comprised of stored topics together with the parent and the child topics corresponding thereto in a hierarchical relationship.

17. The method in accordance with claim 15, wherein the user contacts or the documents returned using the at least one of the parent or the child topics are weighted less than the user contacts or the documents returned from the key word search.

18. The method in accordance with claim 1, wherein the user contacts which have a perceived or express willingness to cooperate are scored higher than other of the user contacts.

19. The method in accordance with claim 18, wherein the willingness to cooperate is determined by at least one of the user contact being from one of a same company, team, or company level as the user, the user contact having an available communication channel, the user contact having a past history of cooperation, and the user contact being obtained from direct contacts of the user.

20. The method in accordance with claim 1, further comprising:

for each of the user contacts returned from the private external information source, the side bar viewing window of the web browser display displays at least one of a name of the user contact, contact information, embedded links for contacting the contact via email, instant messaging, texting, or telephone, a photo, a bio, a summary of the contact'"'"'s relevancy to the key word search, an experience summary, a skill set description, a background summary, and a listing of associated groups or affiliations.

21. The method in accordance with claim 1, wherein:

the key word search of the private external information source is implemented via a software widget associated with the web browser or via a specialized web browser adapted to access the private external information source; and

the software widget includes user login information for automatically accessing the private external information source for executing the key word search.

22. A computerized system for simultaneously searching public and private information sources, comprising:

a processor with associated memory capable of running a web browser;

a web browser enabling a user to implement a key word search of a public search engine, the web browser comprising a modified web browser display comprising a main section and a side bar viewing window; and

a software application associated with the web browser for accessing a private external information source and simultaneously implementing the key word search of the private external information source to locate at least one of user contacts and documents relevant to the key word search;

wherein;

the private external information source is adapted to score the at least one of the user contacts and the documents returned from the key word search for relevancy to the key word search;

the scoring of the user contacts and the documents returned from the private external information source further comprises ordering the user contacts and the documents by relevancy to key words or topics derived from at least one of the key word search or the public search results;

the public search results obtained from the key word search of the public search engine are displayed on the main section of the web browser display;

a predetermined number of most relevant of the at least one of the user contacts and the documents obtained from the private external information source are displayed in the side bar viewing window of the web browser display adjacent to the public search results displayed on the main section of the web browser display;

the private external information source comprises a recommendation system comprising at least one of a document recommendation engine comprising a document database for the documents and an expert recommendation engine comprising an expert database identifying experts and corresponding areas of expertise; and

identifying information for the experts from the expert database which are relevant to the key word search is displayed in the side bar viewing window.

23. The system in accordance with claim 22, wherein:

the recommendation system is provided with access information for connecting to external user accounts;

the recommendation system accesses the external user accounts to locate at least one of the user contacts, contact information, and documents associated with the user contacts;

the recommendation system indexes the user contacts, the contact information, and the documents; and

the recommendation system stores the indexed user contacts, the indexed contact information, and the indexed documents.