PRIORITIZING KEYWORDS FOR PEOPLE SEARCH
A search engine optimization system is provided with an on-line social network system. The on-line social network system includes or is in communication with a search engine optimization (SEO) system that is configured to prioritize keywords (potential search terms) that represent respective people search results pages (PSERPs). The value of a people-related keyword is expressed as a priority score assigned to that keyword. The SEO system generates priority scores for different keywords, using a probabilistic model that takes into account a value expressing how likely the keyword is to be included in a search query as a search term and/or a value expressing how likely is a search that includes the keyword as a search term is to produce relevant results.
1 . A computer-implemented method comprising:
monitoring people-related search requests that include a subject keyword, the subject keyword representing a people search results page (PSERP) provided by an on-line social network system;
determining a popularity score for the subject keyword, the popularity score indicating how likely the subject keyword is to be included in a people-related search query as a search term, using the monitored people-related search requests;
using at least one processor, generating a relevance score for the subject keyword, using search results produced in response to the monitored people-related search requests, the relevance score expressing how likely a search that includes the subject keyword as a search term is to produce a relevant result that originates from the on-line social network system;
generating a priority score for the subject keyword utilizing the popularity score and the relevance score;
based on the priority score, selectively including the subject keyword in a web page generated by the on-line social network system; and
causing presentation of the web page on a display device.
2 . The method of claim 1 , comprising:
generating the PSERP, the PRERP comprising references to one or more member profiles representing respective members in the on-line social network system;
selecting a term included in the one or more member profiles referenced in the PSERP; and
identifying the term as representing the PSERP, the term corresponding to the subject keyword.
3 . The method of claim 1 , comprising:
accessing the PSERP;
determining a term identified as representing the PSERP; and
using the determined term as the subject keyword in the monitoring of the people-related search requests.
4 . The method of claim 1 , wherein the term represents a professional skill of the member.
5 . The method of claim 1 , wherein the term represents geographic location of the member or a place of employment of the member.
6 . The method of claim 1 , wherein the generating of the relevance score for the subject keyword comprises:
accessing member profiles in the on-line social network system; and
examining the member profiles to determine the frequency of appearance of the subject keyword in the member profiles.
7 . The method of claim 1 , comprising:
accessing a set of search results produced by a third party search engine in response to a search request that includes the subject keyword, the third party search engine and the on-line social network system provided by different entities;
in the set of search results, identifying those entries that originate from the on-line social network system as relevant search results; and
using a value expressing a number of the relevant search results in the set of search results in the generating of the relevance score.
8 . The method of claim 1 , wherein the monitoring of people-related search requests comprises monitoring people-related search requests directed to the third party search engine, the method comprising determining that a search request directed to the third party search engine is a people-related search request based on presence of one or more predetermined people-related search terms in a search request.
9 . The method of claim 1 , wherein the monitoring of people-related search requests comprises monitoring search requests directed to a search engine provided by the on-line social network system and also search requests directed to a third party search engine the third party search engine and the on-line social network system provided by different entities.
10 . The method of claim 1 , wherein the determining of the priority score is calculating a product of the popularity score and the relevance score.
11 . A computer-implemented system comprising:
a search requests monitor, implemented using at least one processor, to monitor people-related search requests that include a subject keyword, the subject keyword representing a people search results page (PSERP) provided by an on-line social network system;
a popularity score generator, implemented using at least one processor, to determine a popularity score for the subject keyword, the popularity score indicating how likely the subject keyword is to be included in a people-related search query as a search term, using the monitored people-related search requests;
a relevance score generator, implemented using at least one processor, to generate a relevance score for the subject keyword, using search results produced in response to the monitored people-related search requests, the relevance score expressing how likely a search that includes the subject keyword as a search term is to produce a relevant result that originates from the on-line social network system;
a priority score generator, implemented using at least one processor, to generate a priority score for the subject keyword utilizing the popularity score and the relevance score;
a web page generator, implemented using at least one processor, to selectively include the subject keyword in a web page generated by the on-line social network system, based on the priority score; and
a presentation module, implemented using at least one processor, to cause presentation of the web page on a display device.
12 . The system of claim 11 , comprising a PSERP generator, implemented using at least one processor, to:
generate the PSERP, the PRERP comprising references to one or more member profiles representing respective members in the on-line social network system;
select a term included in the one or more member profiles referenced in the PSERP; and
identify the term as representing the PSERP, the term corresponding to the subject keyword.
13 . The system of claim 11 , wherein the search requests monitor is to:
access the PSERP;
determine a term identified as representing the PSERP; and
use the determined term as the subject keyword in the monitoring of the people-related search requests.
14 . The system of claim 11 , wherein the term represents a professional skill of the member.
15 . The system of claim 11 , wherein the term represents geographic location of the member or a place of employment of the member.
16 . The system of claim 11 , wherein the relevance score generator is to:
access member profiles in the on-line social network system; and
examine the member profiles to determine the frequency of appearance of the subject keyword in the member profiles.
17 . The system of claim 11 , wherein the relevance score generator is to:
access a set of search results produced by a third party search engine in response to a search request that includes the subject keyword, the third party search engine and the on-line social network system provided by different entities;
in the set of search results, identify those entries that originate from the on-line social network system as relevant search results; and
use a value expressing a number of the relevant search results in the set of search results to generate of the relevance score.
18 . The system of claim 11 , wherein the search requests monitor is to determine that a search request directed to the third party search engine is a people-related search request based on presence of one or more predetermined people-related search terms in a search request.
19 . The system of claim 11 , wherein the search requests monitor is to monitor search requests directed to a search engine provided by the on-line social network system and also search requests directed to a third party search engine the third party search engine and the on-line social network system provided by different entities.
20 . A machine-readable non-transitory storage medium having instruction data executable by a machine to cause the machine to perform operations comprising:
monitoring people-related search requests that include a subject keyword, the subject keyword representing a people search results page (PSERP) provided by an on-line social network system;
determining a popularity score for the subject keyword, the popularity score indicating how likely the subject keyword is to be included in a people-related search query as a search term, using the monitored people-related search requests;
generating a relevance score for the subject keyword, using search results produced in response to the monitored people-related search requests, the relevance score expressing how likely a search that includes the subject keyword as a search term is to produce a relevant result that originates from the on-line social network system;
generating a priority score for the subject keyword utilizing the popularity score and the relevance score;
based on the priority score, selectively including the subject keyword in a web page generated by the on-line social network system; and
causing presentation of the web page on a display device.