Google Inc.

Sun Microsystems, Inc.

David P Stoutamire

Yu He

Varun Kacholia

Ashutosh Garg

Zhihui Chen

Hao He

Yoshiki Hayashi

Alexander T Garthwaite

David L Detlefs

Benedict A Gomes

Antonios Printezis

Lars Bak

Hyung-Jin Kim

Peter B Kessler

Jonathan Frankle

Nitin Khandelwal

Henele Iitaka Adams

Steffen Grarup

Jon A Masamitsu

John W Coomes

Y Srinivas Ramakrisha

A system, a method, and various software tools enable a video hosting website to automatically identify posted video items that contain spam in the metadata associated with a respective video item. A spam detection tool for user-generated video items based on concept clustering is provided that facilitates the detection of spam in the metadata associated with a video item.

Spam detection for user-generated multimedia items based on concept clustering

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for clustering videos and using video clusters to present content. One method includes generating target video-specific clusters of co-watched videos for target videos, according to keywords for each target video, and storing data associating the target video with its clusters. The clusters can then be used in various applications, including identifying related videos, augmenting video search results, re-ordering video search results, and identifying content for a target video.

Target-video specific co-watched video clusters

Methods and systems to locate related videos in a video access log. In one embodiment, the method comprises extracting user events from a log database, tagging each event as positive or negative, determining if a video is positively interacted and processing the tagged videos in a sliding window to determine positive interactions between a pair of videos.

User interaction based related videos

Methods and systems to locate related digital content items in a content access log. In one embodiment, the method comprises extracting user events from a content access log, tagging each event as positive or negative, determining if a content item is positively interacted and processing the tagged items in a sliding window to determine positive interactions between a pair of content items.

User interaction based related digital content items

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for processing video searches using query-independent quality scores.

Query independent quality signals

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining a resource's reachability score. In one aspect, a method includes identifying one or more secondary resources reachable through one or more links of a primary resource wherein the secondary resources are within a number of hops from the primary resource; determining an aggregate score for the primary resource based on respective scores of the secondary resources wherein each one of the respective scores is calculated based on prior user interactions with a respective secondary resource; and providing the aggregate score as an input signal to a resource ranking process for the primary resource when the primary resource is represented as a search result responsive to a query.

Determining reachability

Obtaining search results responsive to a query, each search result identifying a respective resource and each resource having a respective rank determined by a primary ranking algorithm. The method includes obtaining primary user feedback data and secondary user feedback data for the resource. The primary and secondary user feedback data representing previous user interactions with the resource when the resource was presented as a search result responsive to the query. The method also includes applying a weight to the secondary user feedback data, the weight being at least partially based on a threshold quantity of the primary user feedback data. The method also includes aggregating the primary user feedback data and the weighted secondary user feedback data and modifying the respective rank of the resource as a search result for the query based at least partially on the aggregated data.

Combining user feedback

A system, a method, and various software tools enable a video hosting website to automatically identify posted video items that contain spam in the metadata associated with a respective video item. A spam detection tool for user-generated video items based on keyword stuffing is provided that facilitates the detection of spam in the metadata associated with a video item.

Spam detection for user-generated multimedia items based on keyword stuffing

The present invention provides methods and computer program products for identifying a set of related videos for a first video. An embodiment of the method comprises a video hosting website creating an ordered list containing a plurality of words from the metadata associated with the first video. The video hosting website uses a select number of words from the ordered list to form a search query. The search query is processed by the videos hosting website to obtain search results that contain a number of related videos. If the number of related videos in the search results is not within a set range, the search query is modified and the modified search query is processed. If the number of related videos in the search results is within a set range, the search results are provided as the set of related videos for the first video.

Iterated related item discovery

A system, a method, and various software tools enable a video hosting website to automatically identify posted video items that contain spam in the metadata associated with a respective video item. A spam detection tool for user-generated video items based on appearance in popular queries is provided that facilitates the detection of spam in the metadata associated with a video item.

Growing community of inventors

San Juan Bautista, CA, United States of America

David P Stoutamire