SEARCH RANKING FEATURES

• US 20130179418A1
• Filed: 01/06/2012
• Published: 07/11/2013
• Est. Priority Date: 01/06/2012
• Status: Abandoned Application

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Bodd, Nicolai, Djurhuus, Rune, Wang, ivind
• Application Number:
  US13/345,144
• Publication Number:
  US 20130179418A1
• Time in Patent Office: Days
• US Class Current: 707/706
• CPC Class Codes: G06F 16/24578 using ranking

Abstract

Search ranking features are described that may be used by a search engine to rank items in a search result. Examples of such features include use of multiple linear ranking stages, use of BM25 and a full text index, use of a minimum span on ranking stages, pre-calculation of a plurality of ranking models, use of a dynamic rank, use of more than one BM25 definition per stage, date/time transformations, freshness transformations, raw value transformations, query property rank, social distance, and so on.

Claims

1. A method performed by one or more computing devices, the method comprising:

instantiating a search engine module configured to expose a plurality of features configured to arrive at a ranking of items in a search result, the plurality of features are exposed to be customizable by an entity that obtains the search engine module to perform a search, at least one of the features exposing an ability to cause pre-calculation of ranking values for a plurality of ranking models of the search engine module; and

exposing the search engine module as available to be acquired by the entity to enable the entity to customize the plurality of features configured to arrive at the ranking of items in the search result.

2. A method as described in claim 1, wherein another one of the features are exposed to be customizable by the entity to support three or more linear ranking stages in a respective said ranking model.

3. A method as described in claim 1, wherein:

another one of the features are exposed to be customizable by the entity to separate recall and ranking;

recall involves properties that are to be matched by a query term for inclusion in a search result; and

ranking involves properties that are to be used for ranking items of data in the search result.

4. A method as described in claim 3, wherein the recall is performed using full text index and ranking is performed using one or more versions of BM25.

5. A method as described in claim 4, wherein at least one said version of BM25 used by the search engine module is BM25F.

6. A method as described in claim 1, wherein another one of the features are exposed to be customizable by the entity is to apply minimum span functionality to an initial stage in a ranking model utilized by the search engine module, the minimum span functionality configured to find a minimal span of query terms in an item of data searched by the search engine module.

7. A method as described in claim 6, wherein the minimum span functionality is also configured to leverage a maximum span such that spans between the query terms that are greater than an amount defined by the maximum span are not considered by the search engine module.

8. A method as described in claim 1, wherein another one of the features are exposed to be customizable by the entity to employ dynamic rank to support synthetic fields that are configured as terms from query-able properties and term frequency of words in those fields for ranking.

9. A method as described in claim 1, wherein another one of the features are exposed to be customizable by the entity to employ a plurality of BM25 definitions per a single stage in a ranking model.

10. A method as described in claim 1, wherein another one of the features are exposed to be customizable by the entity to specify application of a transformation that leverages a current time associated with a search query that is received by the search engine module to perform a search.

11. A method as described in claim 10, wherein the transformation is a date/time transformation or a freshness transformation.

12. A method as described in claim 1, wherein another one of the features are exposed to be customizable by the entity to specify application of a raw value transformation that is based on a query property and a raw value read from an index.

13. A method as described in claim 1, wherein another one of the features are exposed to be customizable by the entity to utilize a query property rank that includes functionality involving matching between a query property set in a query tree with a property in an index of the search engine module to contribute to a rank score.

14. A method as described in claim 1, wherein another one of the features are exposed to be customizable by the entity to employ functionality to rank items of data based on a social distance between an originator of a search query and one or more users associated with an item of data that is subject to a search performed by the search engine module.

15. A method performed by one or more computing devices, the method comprising:

obtaining a search engine module by a network service provider, the search engine module configured to expose a plurality of features configured to arrive at a ranking of items in a search result, the plurality of features are exposed to be customizable by the network service provider, at least one of the features exposing an ability customizable by the entity to separate recall and ranking performed by the search engine module; and

receiving one or more inputs from the network service provider by the search engine module to customize the plurality of features.

16. A method as described in claim 15, wherein:

recall involves properties that are to be matched by a query term for inclusion in a search result using a full text index; and

ranking involves properties that are to be used for ranking items of data in the search result using one or more versions of BM25.

17. A method as described in claim 15, wherein another one of the features are exposed to be customizable by the network service provider to support three or more linear ranking stages in a ranking module.

18. A method as described in claim 15, wherein another one of the features are exposed to be customizable by the network service provider to apply minimum span functionality to an initial stage in a ranking model utilized by the search engine module, the minimum span functionality configured to find a minimal span of query terms in an item of data search by the search engine module.

19. A method performed by one or more computing devices, the method comprising:

receiving one or more inputs to customize one or more of a plurality of features of a search engine module, the plurality of features configured to arrive at a ranking of items in a search result for a search performed by the search engine module, at least one of the features involving use of a query property rank that includes functionality involving matching between a query property set in a query tree with a property in an index of the search engine module to contribute to a rank score; and

ranking one or more items of data found as a result of a search performed by the search engine module using the customized one or more of the plurality of features of the search engine module.

20. A method as described in claim 19, wherein another one of the features are customized using the one or more inputs to support three or more linear ranking stages in a ranking module utilized by the search engine module.