Personality-relevant search services

• US 9,747,348 B2
• Filed: 11/12/2015
• Issued: 08/29/2017
• Est. Priority Date: 11/12/2015
• Status: Expired due to Fees

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Cama, Karl J., Freed, Andrew R., Herman, Norbert, Ray, Shubhadip
• Primary Examiner(s): PHAM, KHANH B
• Application Number:
  US14/939,035
• Publication Number:
  US 20170139916A1
• Time in Patent Office: 656 Days
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation

Abstract

For a search query submitted by a user, a result set including a plurality of pages is obtained. A first and a second personality score of a first and a second page, respectively, is determined using a value of a personality trait of the user and a weight associated with the value, and at least one of (i) a personality score of a site from which a first page is obtained based on a personality analysis of another content on the site, and (ii) a personality score of an author of the first page based on a personality analysis of another content published by the author. The first page is ordered ahead of the second page when the first personality score exceeding the second personality score, even when the first page and the second page are equally relevant to the search query.

Claims

1. A method comprising:

obtaining, responsive to a search query submitted by a user, a result set, the result set comprising a set of pages;

determining a first personality score of a first page in the set of pages using a value of a personality trait of the user, a weight associated with the value, and a personality score of an author of the first page, the personality score of the author being based on a personality analysis of another content published by the author, wherein the personality score of the first page is based on a plurality of personality traits computed for the first page, the plurality of personality traits comprising a first trait to indicate an extraversion trait, a trust trait, a harmony trait, and a melancholy trait according to a Big 5 personality traits model;

determining a second personality score of a second page in the set of pages using the value of the personality trait of the user, the weight associated with the value, and a second personality score of a second author of the second page, the second personality score of the second author being based on a second personality analysis of a different content published by the second author;

ordering, responsive to the first personality score exceeding the second personality score, the first page ahead of the second page in the result set to form a rearranged result set;

presenting the rearranged result set such that the user finds the first page which is more compatible with the user'"'"'s personality traits listed before the second pages less compatible with the user'"'"'s personality traits, even when the first page and the second page are equally relevant to the search query;

analyzing, using English Slot Grammar technique, the first page to determine a grammatical expression in the page, wherein the grammatical expression comprises a sentence structure in the page;

identifying, from a personality model, a personality trait of the first page corresponding to the grammatical expression, the identified personality trait comprising a conscientious trait;

computing a value of the personality trait of the first page according to a value of the grammatical expression; and

assigning to the first page a personality data comprising the personality trait of the first page and the value of the personality trait of the first page.

2. The method of claim 1, further comprising:

receiving a selection input relative to the rearranged result set, the selection indicating a user preference of ordering a third page according to the user'"'"'s personality traits; and

adjusting a value corresponding to a trait in the user'"'"'s personality traits to change the order of the third page according to the user'"'"'s preference.

3. The method of claim 1, further comprising:

constructing a personality profile of the user by determining a set of personality traits of the user according to a personality model, the set of personality traits including the personality trait;

computing a value for each personality trait in the set of personality traits; and

adding each personality trait from the set of personality traits and a corresponding value as a distinct personality data in the personality profile.

4. The method of claim 1, further comprising:

computing a page-specific personality score of the first page;

computing an overall personality score of the first page using (i) a personality score of the site from which the first page is obtained, the personality score of the site being based on a personality analysis of another content on the site, and (ii) the page-specific personality score of the first page; and

using the overall personality score in the first personality score of the first page.

5. The method of claim 1, further comprising:

computing a page-specific personality score of the first page;

computing an overall personality score of the first page using the personality score of the author and the page-specific personality score of the first page; and

using the overall personality score in the first personality score of the first page.

6. The method of claim 1, further comprising:

computing a page-specific personality score of the first page;

computing an overall personality score of the first page using (i) a personality score of the site from which the first page is obtained, the personality score of the site being based on a personality analysis of another content on the site, (ii) the personality score of the author, and (iii) the page-specific personality score of the first page; and

using the overall personality score in the first personality score of the first page.

7. The method of claim 1, further comprising:

analyzing the first page to determine a sentiment in the page;

identifying, from a personality model, a personality trait of the first page corresponding to the sentiment;

computing a value of the personality trait of the first page according to a value of the sentiment; and

assigning to the first page a personality data comprising the personality trait of the first page and the value of the personality trait of the first page.

8. The method of claim 1, further comprising:

analyzing the first page to determine a semantic expression in the page;

identifying, from a personality model, a personality trait of the first page corresponding to the semantic expression;

computing a value of the personality trait of the first page according to a value of the semantic expression; and

assigning to the first page a personality data comprising the personality trait of the first page and the value of the personality trait of the first page.

9. The method of claim 1, further comprising:

analyzing the first page to determine a diversity of references in the page;

identifying, from a personality model, a personality trait of the first page corresponding to the diversity of the references;

computing a value of the personality trait of the first page according to a value of the diversity of the references; and

assigning to the first page a personality data comprising the personality trait of the first page and the value of the personality trait of the first page.

10. The method of claim 1, further comprising:

obtaining, responsive to a partial input of the search query, a set of type-ahead options to complete the search query input; and

ordering a first type-ahead option before a second type-ahead option in the set of type-ahead options responsive to the first type-ahead option relating to a personality trait of the user to a greater degree than the second type-ahead option.

11. The method of claim 1, wherein the method is embodied in a computer program product comprising one or more computer-readable storage devices and computer-readable program instructions which are stored on the one or more computer-readable storage devices and executed by one or more processors.

12. The method of claim 1, wherein the method is embodied in a computer system comprising one or more processors, one or more computer-readable memories, one or more computer-readable storage devices and program instructions which are stored on the one or more computer-readable storage devices for execution by the one or more processors via the one or more memories and executed by the one or more processors.

13. A computer program product comprising one or more computer-readable storage devices, and program instructions stored on at least one of the one or more storage devices, the stored program instructions comprising:

program instructions to obtain, responsive to a search query submitted by a user, a result set, the result set comprising a set of pages;

program instructions to determine a first personality score of a first page in the set of pages using a value of a personality trait of the user, a weight associated with the value, and a personality score of an author of the first page, the personality score of the author being based on a personality analysis of another content published by the author, wherein the personality score of the first page is based on a plurality of personality traits computed for the first page, the plurality of personality traits comprising a first trait to indicate an extraversion trait, a trust trait, a harmony trait, and a melancholy trait according to a Big 5 personality traits model;

program instructions to determine a second personality score of a second page in the set of pages using the value of the personality trait of the user, the weight associated with the value, and a second personality score of a second author of the second page, the second personality score of the second author being based on a second personality analysis of a different content published by the second author;

program instructions to order, responsive to the first personality score exceeding the second personality score, the first page ahead of the second page in the result set to form a rearranged result set;

program instructions to present the rearranged result set such that the user finds the first page which is more compatible with the user'"'"'s personality traits listed before the second pages less compatible with the user'"'"'s personality traits, even when the first page and the second page are equally relevant to the search query;

program instructions to analyze, using English Slot Grammar technique, the first page to determine a grammatical expression in the page, wherein the grammatical expression comprises a sentence structure in the page;

program instructions to identify, from a personality model, a personality trait of the first page corresponding to the grammatical expression, the identified personality trait comprising a conscientious trait;

program instructions to compute a value of the personality trait of the first page according to a value of the grammatical expression; and

program instructions to assign to the first page a personality data comprising the personality trait of the first page and the value of the personality trait of the first page.

14. The computer program product of claim 13, further comprising:

program instructions to receive a selection input relative to the rearranged result set, the selection indicating a user preference of ordering a third page according to the user'"'"'s personality traits; and

program instructions to adjust a value corresponding to a trait in the user'"'"'s personality traits to change the order of the third page according to the user'"'"'s preference.

15. The computer program product of claim 13, further comprising:

program instructions to construct a personality profile of the user by determining a set of personality traits of the user according to a personality model, the set of personality traits including the personality trait;

program instructions to compute a value for each personality trait in the set of personality traits; and

program instructions to add each personality trait from the set of personality traits and a corresponding value as a distinct personality data in the personality profile.

16. The computer program product of claim 13, further comprising:

program instructions to compute a page-specific personality score of the first page;

program instructions to compute an overall personality score of the first page using (i) a personality score of the site from which the first page is obtained, the personality score of the site being based on a personality analysis of another content on the site, and (ii) the page-specific personality score of the first page; and

program instructions to use the overall personality score in the first personality score of the first page.

17. The computer program product of claim 13, further comprising:

program instructions to compute a page-specific personality score of the first page;

program instructions to compute an overall personality score of the first page using the personality score of the author and the page-specific personality score of the first page; and

program instructions to use the overall personality score in the first personality score of the first page.

18. The computer program product of claim 13, further comprising:

program instructions to compute a page-specific personality score of the first page;

program instructions to compute an overall personality score of the first page using (i) a personality score of the site from which the first page is obtained, the personality score of the site being based on a personality analysis of another content on the site, (ii) the personality score of the author, and (iii) the page-specific personality score of the first page; and

program instructions to use the overall personality score in the first personality score of the first page.

19. A computer system comprising one or more processors, one or more computer-readable memories, and one or more computer-readable storage devices, and program instructions stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, the stored program instructions comprising:

program instructions to obtain, responsive to a search query submitted by a user, a result set, the result set comprising a set of pages;

program instructions to determine a first personality score of a first page in the set of pages using a value of a personality trait of the user, a weight associated with the value, and a personality score of an author of the first page, the personality score of the author being based on a personality analysis of another content published by the author, wherein the personality score of the first page is based on a plurality of personality traits computed for the first page, the plurality of personality traits comprising a first trait to indicate an extraversion trait, a trust trait, a harmony trait, and a melancholy trait according to a Big 5 personality traits model;

program instructions to determine a second personality score of a second page in the set of pages using the value of the personality trait of the user, the weight associated with the value, and a second personality score of a second author of the second page, the second personality score of the second author being based on a second personality analysis of a different content published by the second author;

program instructions to order, responsive to the first personality score exceeding the second personality score, the first page ahead of the second page in the result set to form a rearranged result set;

program instructions to present the rearranged result set such that the user finds the first page which is more compatible with the user'"'"'s personality traits listed before the second pages less compatible with the user'"'"'s personality traits, even when the first page and the second page are equally relevant to the search query;

program instructions to analyze, using English Slot Grammar technique, the first page to determine a grammatical expression in the page, wherein the grammatical expression comprises a sentence structure in the page;

program instructions to identify, from a personality model, a personality trait of the first page corresponding to the grammatical expression, the identified personality trait comprising a conscientious trait;

program instructions to compute a value of the personality trait of the first page according to a value of the grammatical expression; and

program instructions to assign to the first page a personality data comprising the personality trait of the first page and the value of the personality trait of the first page.