Identifying listings of multi-site entities based on user behavior signals
US-2015058328-A1 · Feb 26, 2015 · US
US9665643B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9665643-B2 |
| Application number | US-201113340722-A |
| Country | US |
| Kind code | B2 |
| Filing date | Dec 30, 2011 |
| Priority date | Dec 30, 2011 |
| Publication date | May 30, 2017 |
| Grant date | May 30, 2017 |
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An entity-based search system is described herein that detects and recognizes entities in Internet-based content and uses this recognition to organize search results. The system associates one or more entity identifiers with a web page and stores this information as metadata of the page in a search engine index. This metadata will enable entity-based queries as well as rich data presentations in a search engine result page (SERP), including grouping results by entities, filtering results by one or more particular entities, or re-ranking search results based on user preference of entities. Thus, the entity-based search system allows users to identify a particular entity the user is interested in finding, and to receive search results directly related to that entity.
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We claim: 1. A computer-implemented method to identify search results based on entity-based knowledge, the method comprising: receiving a search query that includes one or more entities; enumerating one or more entities from an entity-based knowledge store that may match entities in the received query; identifying one or more potentially matching entities from the enumerated entities, wherein a matching entity is one that may be a target of the query; ranking the identified…
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