Google Inc.

Venkatesh Manickavasagam

Amitabh Saikia

Kamal Tiwari

Jyoti Sood

Wencong Zhang

Yilin Xiong

In some implementations, a method includes, for each of multiple hosts: identifying visual leaf pages hosted by the host that are each a web page including image data defining an image or a video that is prominently displayed relative to all other content of the web page, identifying a set of hub pages hosted by the host that each link to at least one of the visual leaf pages through an image-based link, and for each hub page, generating cluster data representing the visual leaf pages to which the hub page links by determining, for each visual leaf page, a set of feature values that each indicate pre-defined features of the visual leaf page, and generating, from the sets of feature values, a set of central feature values as the cluster data for the hub page that indicate a central tendency of each respective pre-defined feature.

Visual leaf page identification and processing

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium determining image relevance responsive to a search query. A method includes, for each resource in a plurality of resources, wherein each resource includes one or more images and text that is separate from each of the one or more images: determining, by a data processing apparatus, and from the text of the resource, resource topics described by the text of the resource. For each of the one or more images, processing the image to determine a set of image topics that describe topics to which content depicted in the image belongs. Determining, by the data process apparatus, one or more topic match scores, wherein each topic match score is a measure of relevance one or more of the image topics of the image to one or more of the resource topics of the resource.

Growing community of inventors

Mountain View, CA, United States of America

Venkatesh Manickavasagam