Relevant individual searching using managed property and ranking features

• US 8,224,847 B2
• Filed: 10/29/2009
• Issued: 07/17/2012
• Est. Priority Date: 10/29/2009
• Status: Expired due to Fees

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Li, Boxin, Meyerzon, Dmitriy, Alspaugh, Jessica, Poznanski, Victor
• Primary Examiner(s): Ortiz Ditren, Belix M
• Application Number:
  US12/608,181
• Publication Number:
  US 20110106850A1
• Time in Patent Office: 992 Days
• Field of Search: 707/780, 707/748
• US Class Current: 707/780
• CPC Class Codes: G06F 16/335 Filtering based on additional data, e.g. user or group profiles filtering in web context G06F16/9535, G06F16/9536

Abstract

Embodiments are configured to provide information relevant to individuals of interest to a searching user. In an embodiment, a method includes identifying relevant individuals of a network using a relevance model that includes the use of a number of managed properties and ranking features to identify relevant individuals of a defined network. The relevance model of one embodiment is defined by a schema that includes a textual matching ranking feature, social distance ranking feature, a levels to top ranking feature, and a proximity ranking feature.

Claims

1. A method of providing information to searching users of a computing environment comprising:

parsing a query having a number of query terms;

identifying a searching user;

communicating with at least one information source having information associated with a pool of potentially relevant individuals;

identifying a number of relevant individuals from the pool of potentially relevant individuals based in part on the number of query terms and the searching user, the identifying including;

using a textual matching ranking feature and a plurality of managed properties to determine managed property parameters for the potentially relevant individuals;

using a social distance ranking feature to determine a social distance parameter for the potentially relevant individuals; and

,

using a proximity ranking feature to determine a proximity parameter based in part on a subset of the plurality of managed properties and a limited number of the potentially relevant individuals including determining additional ranking weights based in part on a predefined proximity weight for each managed property of the subset using a rational transformation, wherein the proximity ranking feature is enabled for the subset using an extract occurrence feature; and

,

providing the number of relevant individuals to the searching user including determining a relevancy value for each of the number of relevant individuals, each relevancy value based in part on the managed property parameters, the social distance parameter, a levels to the top (LTT) ranking feature to determine a LTT parameter used to generate a multiplier to adjust a predefined weight of the LTT ranking feature by transforming a corresponding value using an inverse rational transformation in generating the multiplier, and the proximity parameter.

2. The method of claim 1, further comprising using a schema to define first and second searching stages of a relevance model used in returning relevant individuals to the searching user, wherein the proximity ranking feature is only used as part of the second searching stage.

3. The method of claim 1, wherein the plurality of managed properties include a contents property, an account name property, a preferred name property, a work email property, a job title property, a department property, an about me property, a username property, a memberships property, a responsibilities property, a skills property, an interests property, a contents hidden property, a pronunciations property, a session initiation protocol (Sip) property, an organization names property, a combined name property, and a parent organizations property.

4. The method of claim 3, wherein the subset of the plurality of managed properties includes the contents property, job title property, department property, about me property, memberships property, responsibilities property, skills property, interests property, pronunciations property, contents hidden property, organization names property, and parent organizations property.

5. The method of claim 1, wherein the plurality of managed properties include an account name property, a preferred name property, a work email property, a job title property, a department property, a username property, a responsibilities property, a Sip property, an organization names property, and a combined name property.

6. The method of claim 5, wherein the subset of the plurality of managed properties includes the job title property, department property, responsibilities property, and organization names property.

7. The method of claim 1, wherein the textual matching ranking feature is used to assign weights to the query terms based in part on a text ranking equation applied to managed property hits of corresponding query terms.

8. The method of claim 7, wherein the social distance ranking feature is used to adjust ranking weights of the relevant individuals based in part on a determination of first and second level colleagues of the searching user.

9. The method of claim 8, wherein the social distance ranking feature is used to adjust ranking weights of the relevant individuals wherein an applied weight of a first level colleague is greater than an applied weight of a second level colleague.

10. A system to provide relevant search results comprising:

at least one processor and memory;

a profile store to store information associated with a plurality of networked individuals, the profile store including a plurality of managed properties for each of the networked users; and

,

a search engine that operates according to a defined relevance model, the search engine to return relevant search results associated with individuals of interest based in part on a query and a searcher identification, the defined relevance model comprising ranking features that include a textual matching ranking feature to determine weights for query terms based in part on a ranking equation applied to managed property hits of each query term, social distance ranking feature to boost ranking weights of relevant search results based in part on at least one colleague level, LTT ranking feature to generate a weight adjusting multiplier, and a proximity ranking feature to provide additional weighting based in part on query term hits within a defined set of the managed properties, the ranking features used by the search engine to return the relevant search results.

11. The system of claim 10, the relevance model further comprising a first stage to determine preliminary search results absent using the proximity ranking feature and a second stage that uses the proximity ranking feature to determine the relevant search results.

12. The system of claim 11, further comprising a schema to define the predefined relevancy model, the schema including weighting, constant, and statistical parameters.

13. Computer readable storage including executable instructions which, when executed in a processing system, provide information by:

defining a first relevancy determination stage of a relevance model according to a schema that defines a number of managed properties and transformation features, the first relevancy determination stage including a textual matching ranking feature, social distance ranking feature, and a LTT ranking feature, the first relevancy determination stage to identify a preliminary number of search results;

defining a second relevancy determination stage of the relevance model according to the schema, the second relevancy determination stage including a proximity ranking feature used in conjunction with the textual matching ranking feature, social distance ranking feature, and LTT ranking feature on the preliminary number of search results; and

,

implementing the relevance model in a search component as part of searching functionality tailored to identify relevant individuals of a defined network including transforming a LTT value using an inverse rational transformation and transforming a proximity value using a rational transformation in part to provide the information.

14. The computer readable storage of claim 13, further providing the information by determining a social distance parameter according to search result groupings, wherein a first grouping corresponds with first level colleagues, a second grouping corresponds with second level colleagues, and third grouping corresponds with other colleagues.

15. The computer readable storage of claim 14, further providing the information by adding a first weighting value to a score of each relevant individual of the first grouping, adding a second weighting value to a score of each relevant individual of the second grouping, and adding no value to a score of each relevant individual of the third grouping.