QUERY TERM RELATIONSHIP CHARACTERIZATION FOR QUERY RESPONSE DETERMINATION

• US 20110066618A1
• Filed: 09/14/2009
• Published: 03/17/2011
• Est. Priority Date: 09/14/2009
• Status: Abandoned Application

• Current Assignee: Oath Inc. (Verizon Communications Inc.)
• Original Assignee: Yahoo! Inc. (Apollo Global Management, Inc.)
• Inventors: van Zwol, Roelof, Clements, Maarten, Murdock, Vanessa, Sigurbjornsson, Borkur
• Application Number:
  US12/558,924
• Publication Number:
  US 20110066618A1
• Time in Patent Office: Days
• US Class Current: 707/739
• CPC Class Codes: G06F 16/2452 Query translation
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation

Abstract

Methods, apparatuses, and systems are provided to determine a response to a user submitted query based, at least in part, on a relationship between and/or among a plurality of terms of the query.

Claims

1. A method comprising:

executing instructions by a special purpose computing apparatus to;

obtain one or more electrical digital signals representing a query, said query comprising a plurality of terms; and

apply to said query one or more electrical digital signals representative of a relationship indicative of semantic specificity between and/or among said plurality of terms.

2. The method of claim 1, and further comprising further executing said instructions by said special purpose computing apparatus to:

store in a memory one or more electrical digital signals representative of a result of application of said one or more electrical digital signals representative of said relationship to said one or more electrical digital signals representative of said query.

3. The method of claim 2, wherein said one or more electrical digital signals representative of said result indicates a hierarchical order of a plurality of result items.

4. The method of claim 2, wherein said one or more electrical digital signals representative of said result indicates at least one recommended term that exhibits a greater semantic specificity or a lesser semantic specificity than at least one term of the plurality of terms.

5. The method of claim 2, wherein said one or more electrical digital signals representative of said result indicates a graphical representation of said relationship indicative of semantic specificity between and/or among the plurality of terms.

6. The method of claim 1, and further comprising further executing said instructions by said special purpose computing apparatus to:

train a learning process on a domain of terms to learn a relationship indicative of semantic specificity between and/or among at least a portion of terms in the domain of terms; and

determine, based at least in part on said learned relationship, said relationship indicative of semantic specificity between and/or among said plurality of terms.

7. The method of claim 6, wherein the domain of terms is associated with a plurality of media content items;

and

further comprising further executing said instructions by said special purpose computing apparatus to store in a memory one or more electrical digital signals representative of a result of application of said one or more electrical digital signals representative of said relationship to said one or more electrical digital signals representative of said query, wherein said result indicates an ordered list of a subset of the plurality of media content items.

8. The method of claim 2, and further comprising further executing said instructions by said special purpose computing apparatus to:

determine said relationship indicative of semantic specificity between and/or among said plurality of terms by identifying whether a first term of said plurality of terms exhibits a greater semantic specificity than a second term of said plurality of terms; and

increase an influence of said first term upon said result relative to an influence of said second term if said first term exhibits the greater semantic specificity than said second term of said plurality of terms.

9. The method of claim 1, and further comprising further executing said instructions by said special purpose computing apparatus to:

determine said relationship indicative of semantic specificity between and/or among said plurality of terms by identifying a pair-wise semantic specificity between each pair of terms of said plurality of terms.

10. The method of claim 1, and further comprising further executing said instructions by said special purpose computing apparatus to:

transmit to a user resource for presentation to a user one or more digital signals representative of a result of application of said one or more electrical digital signals representative of said relationship to said one or more electrical digital signals representative of said query.

11. An article comprising:

a storage medium comprising machine-readable instructions stored thereon which, in response to being executed by a processor, direct said processor to;

obtain a query comprising a plurality of terms; and

apply to said query a relationship indicative of semantic specificity between and/or among said plurality of terms.

12. The article of claim 11, wherein said instructions, in response to being executed by said processor, further direct said processor to:

store in a memory a result of application of said relationship to said query.

13. The article of claim 12, wherein said result indicates a hierarchical order of a plurality of result items.

14. The article of claim 12, wherein said relationship indicative of semantic specificity between and/or among said plurality of terms includes a pair-wise semantic specificity between each pair of terms of said plurality of terms;

and

wherein said instructions, in response to being executed by said processor, further direct said processor to;

for each pair of terms of said plurality of terms, determine said pair-wise semantic specificity by identifying whether a first term of said pair exhibits a greater semantic specificity than a second term of said pair; and

increase an influence of said first term upon said result relative to an influence of said second term if said first term exhibits the greater semantic specificity than said second term.

15. The article of claim 11, wherein said instructions, in response to being executed by said processor, further direct said processor to:

train a learning process on a domain of terms to learn a relationship indicative of semantic specificity between and/or among at least a portion of terms in the domain of terms; and

determine, based at least in part on said learned relationship, said relationship indicative of semantic specificity between and/or among said plurality of terms.

16. An apparatus comprising:

a computing platform comprising;

a communication interface to receive electrical digital signals representative of information from a digital electronic communication network; and

one or more processors programmed with instructions to;

obtain one or more electrical digital signals received at said communication interface from said digital electronic communication network and representing a query, said query comprising a plurality of terms; and

apply to said query one or more electrical digital signals representative of a relationship indicative of semantic specificity between and/or among said plurality of terms.

17. The apparatus of claim 16, wherein said computing platform further comprises a memory adapted to store one or more electrical digital signals;

and

wherein said one or more processors are further programmed with instructions to;

store in said memory one or more electrical digital signals representative of a result of application of said one or more electrical digital signals representative of said relationship to said one or more electrical digital signals representative of said query.

18. The apparatus of claim 17, wherein said one or more electrical digital signals representative of said result indicates a hierarchical order of a plurality of result items.

19. The apparatus of claim 17, wherein said relationship indicative of semantic specificity between and/or among said plurality of terms includes a pair-wise semantic specificity between each pair of terms of said plurality of terms;

and

wherein said one or more processors are further programmed with instructions to;

for each pair of terms of said plurality of terms, determine said pair-wise semantic specificity by identifying whether a first term of said pair exhibits a greater semantic specificity than a second term of said pair; and

increase an influence of said first term upon said result relative to an influence of said second term if said first term exhibits the greater semantic specificity than said second term.

20. The apparatus of claim 16, wherein said one or more processors are further programmed with instructions to:

train a learning process on a domain of terms to learn a relationship indicative of semantic specificity between and/or among at least a portion of terms in the domain of terms; and

determine, based at least in part on said learned relationship, said relationship indicative of semantic specificity between and/or among said plurality of terms.