System for facet expansion
System and techniques for facet expansion are described herein. A user interface element may be presented on facet selection portion of a search result display including search results. Here, the user interface element is arranged to accept user input of a facet. Partial user input for a facet may be received. A peer entity to an entity corresponding to the facet may be obtained. A peer facet may be presented in a suggestion element in the facet selection portion in response to receiving the partial user input.
1. A system for facet expansion, the system comprising:
a processor; and
a memory including instructions that, when executed by the processor, cause the processor to:
present a user interface element on a facet selection portion of a search result display including search results, the user interface element arranged to accept user input of a facet;
receive partial user input for a facet;
obtain a peer entity to an entity corresponding to the facet, the peer entity obtained from an entity class of the entity corresponding to the facet by:
searching for peer entities based on an attribute of the entity corresponding to the facet;
scoring closeness between the entity corresponding to the facet and each peer entity returned from the searching; and
selecting the peer entity based on closeness of the peer entity to the entity corresponding to the facet; and
present a peer facet in a suggestion element in the facet selection portion in response to receiving the partial user input.
2. The system of claim 1 , wherein the peer entity is one of a plurality of peer entities presented in the suggestion element.
3. The system of claim 2 , wherein the plurality of peer entities is ordered in the suggestion element.
4. The system of claim 3 , wherein the order is based on a closeness measure between the entity and the peer entities.
5. The system of claim 1 , wherein to score the closeness includes the processor to:
measure an overlap between attributes of the entity and peer entity; and
measure a deviation between attributes of the entity and peer entity.
6. A method for facet expansion, the method comprising:
presenting a user interface element on a facet selection portion of a search result display including search results, the user interface element arranged to accept user input of a facet;
receiving partial user input for a facet;
obtaining a peer entity to an entity corresponding to the facet, the peer entity obtained from an entity class of the entity corresponding to the facet by:
searching for peer entities based on an attribute of the entity corresponding to the facet;
scoring closeness between the entity corresponding to the facet and each peer entity returned from the searching; and
selecting the peer entity based on closeness of the peer entity to the entity corresponding to the facet; and
presenting a peer facet in a suggestion element in the facet selection portion in response to receiving the partial user input.
7. The method of claim 6 , wherein the peer entity is one of a plurality of peer entities presented in the suggestion element.
8. The method of claim 7 , wherein the plurality of peer entities is ordered in the suggestion element.
9. The method of claim 8 , wherein the order is based on a closeness measure between the entity and the peer entities.
10. The method of claim 6 , wherein scoring the closeness includes:
measuring an overlap between attributes of the entity and peer entity; and
measuring a deviation between attributes of the entity and peer entity.
11. Anon-transitory machine readable medium including instructions that, when executed by a machine, cause the machine to:
present a user interface element on a facet selection portion of a search result display including search results, the user interface element arranged to accept user input of a facet;
receive partial user input for a facet;
obtain a peer entity to an entity corresponding to the facet, the peer entity obtained from an entity class of the entity corresponding to the facet by:
searching for peer entities based on an attribute of the entity corresponding to the facet;
scoring closeness between the entity corresponding to the facet and each peer entity returned from the searching; and
selecting the peer entity based on closeness of the peer entity to the entity corresponding to the facet; and
present a peer facet in a suggestion element in the facet selection portion in response to receiving the partial user input.
12. The machine readable medium of claim 11 , wherein the peer entity is one of a plurality of peer entities presented in the suggestion element.
13. The machine readable medium of claim 12 , wherein the plurality of peer entities is ordered in the suggestion element.
14. The machine readable medium of claim 13 , wherein the order is based on a closeness measure between the entity and the peer entities.
15. The machine readable medium of claim 11 , wherein to score the closeness includes the machine to:
measure an overlap between attributes of the entity and peer entity; and
measure a deviation between attributes of the entity and peer entity.