Google Inc.

Eldad Barkai

Asaf Zomet

Shlomo Reuben Urbach

Tal Yadid

Rony Amira

Tomer Shmiel

Ziv Bar-Yossef

Eran Ofek

Haran Pilpel

Yossi Matias

Alexander Sobol

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for identifying topical entities. In one aspect, a method includes obtaining a plurality of entities that are associated with a first resource; for one or more of the identified entities, receiving search results for a search query derived from the entity; determining that search results for a search query including a particular entity include a specific type of search results; and determining that the particular entity is a topical entity of the first resource based at least in part on the particular entity appearing in a title or a resource locator of the first resource, wherein the topical entity of the first resource represents a predominant topic of the first resource.

Identifying topical entities

Systems and methods for media aggregation are disclosed herein. The system includes a media system that can transform user generated media items into at least one aggregated media item. A synchronization component can synchronize media items with respect to time. Synchronized media items can be analyzed and transformed into an aggregated media item for storage and/or display. In addition, the aggregated media item is capable of being manipulated to create an enhanced and customizable viewing and/or listening experience. Accordingly, media item aggregation can be accomplished.

Automated aggregation of related media content

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for identifying central entities. In one aspect, a method includes obtaining candidate entities for a first resource; filtering a first entity graph whose nodes represent different entities found in a plurality of resources to remove nodes that do not correspond to a candidate entity, wherein pairs of nodes in the filtered first entity graph that are connected by an edge correspond to pairs of candidate entities that are associated with the same resource; generating a second entity graph for the first resource from the filtered first entity graph, wherein the second entity graph does not include nodes from the filtered first entity graph that are not connected to other nodes in the filtered first graph; and identifying candidate entities that are represented by nodes in the second entity graph as being central entities for the first resource.

Identifying central entities

Social based aggregation of related media content

Growing community of inventors

Giv′at-Shmuel, Israel

Eldad Barkai