Abstract: Methods and systems for suggesting alternative image queries for individual image query search results. In one aspect, a method includes displaying a group of one or more image search results for a first image query, each image search result referring to a respective resource and including a link to the respective resource, receiving first input from a user interacting with a first image search result in the group of one or more image search results, and, in response to receiving the first input, displaying one or more suggested second image queries, where each suggested second image query is associated with the first image search result.

Abstract: Methods, systems, and apparatus, including computer program products, for ranking images are disclosed. An image search subsystem generates an adjustment factor representative of a quality measure of an image relative to a search query. The quality represents a relevance of the image to the query. The adjustment factor can be computed based on relevance data for the image to the query and image similarity data representing a relative similarity between the image and other images relevant to the query. The relevance data can be based on user actions in response to the image being included in search results for the query. The adjustment factor can be scaled based on whether the relevance data and the image similarity data both indicate that the image is relevant to the search query. A relevance score is computed based on the adjustment factor (e.g., a product of the adjustment factor and relevance score).

Abstract: Methods, systems and apparatus for identifying result images for a query image. One or more labels that are associated with the query image are obtained. Candidate images matching the query labels are identified. Visual similarity scores are generated for the candidate images. Each visual similarity score represents the visual similarity of a respective candidate image to the query image. Relevance scores are generated for each of the candidate images based on the visual similarity scores. Each relevance score represents a measure of relevance of the respective candidate images to the query image. The candidate images are ranked based on the relevance scores, a highest ranking subset of the candidate images being identified as result images and referenced by image search results. The result images can be candidate images that satisfy a similarity condition relative to the query image and other result images.

Abstract: Methods, systems, and apparatus, including computer program products, for ranking images are disclosed. An image search subsystem generates an adjustment factor representative of a quality measure of an image relative to a search query. The quality represents a relevance of the image to the query. The adjustment factor can be computed based on relevance data for the image to the query and image similarity data representing a relative similarity between the image and other images relevant to the query. The relevance data can be based on user actions in response to the image being included in search results for the query. The adjustment factor can be scaled based on whether the relevance data and the image similarity data both indicate that the image is relevant to the search query. A relevance score is computed based on the adjustment factor (e.g., a product of the adjustment factor and relevance score).

Abstract: Methods, systems and apparatus for identifying result images for a query image. One or more labels that are associated with the query image are obtained. Candidate images matching the query labels are identified. Visual similarity scores are generated for the candidate images. Each visual similarity score represents the visual similarity of a respective candidate image to the query image. Relevance scores are generated for each of the candidate images based on the visual similarity scores. Each relevance score represents a measure of relevance of the respective candidate images to the query image. The candidate images are ranked based on the relevance scores, a highest ranking subset of the candidate images being identified as result images and referenced by image search results. The result images can be candidate images that satisfy a similarity condition relative to the query image and other result images.

Abstract: Methods, systems, and apparatus, including computer program products, for ranking images are disclosed. An image search subsystem generates an adjustment factor representative of a quality measure of an image relative to a search query. The quality represents a relevance of the image to the query. The adjustment factor can be computed based on relevance data for the image to the query and image similarity data representing a relative similarity between the image and other images relevant to the query. The relevance data can be based on user actions in response to the image being included in search results for the query. The adjustment factor can be scaled based on whether the relevance data and the image similarity data both indicate that the image is relevant to the search query. A relevance score is computed based on the adjustment factor (e.g., a product of the adjustment factor and relevance score).

Abstract: A “cookie” is a set of information, such as user information and preferences, used by web sites to customize information for a user. A number of web sites register with a “cookie server” and provide the server with information regarding what data fields are expected in cookies submitted from clients to the web site. When a client subsequently browses to that web site, the client first checks with the cookie server for any expected cookies. The cookie server uses the cookie requirement information for that web site, along with user specific information, to generate one or more cookies. The cookie server then transmits the one or more cookies to the client. The client then transmits the one or more cookies to the web site so that the web site may provide a customized web page.

Abstract: A server uses cookie requirement information obtained from a web site, along with user specific information, to generate one or more cookies that are stored at the server and that can be used to generate customized web documents from the web site. The cookie server provides the cookies to the client which transmits the cookies to the web site to obtain the customized web document, which is customized according to the user information. The server also updates the stored cookies collectively, in response to receiving updated user information, such that the one or more web sites that are customized with the cookies are be customized according to the updated user information.