Richrelevance, Inc.

Other

David Lee Selinger

Tyler David Kohn

Michael James DeCourcey

Sundeep Ahuja

James Osial

Albert Sunwoo

Ching-Wa Yip

Chaoying Chen

Darren Erik Vengroff

Randall Stuart Fish

Murtaza Doctor

Chao-ying Chen

Ching Wa Yip

Bradley Ross Cerenzia

Jason Zien

Apparatus and associated methods relate to identifying objects of interest and detecting motion to automatically detect a security threat as a function of video frame delta information received from a video encoder. In an illustrative example, the video encoder may be an H.264 encoder onboard a video camera. A cloud server may receive the video frame delta information in a compressed video stream from the camera. Threats may be detected by the cloud server processing the video frame delta information in the compressed video stream, without decompression, to identify objects and detect motion. The cloud server may employ artificial intelligence techniques to enhance threat detection by the cloud server. Various examples may advantageously provide increased capacity of a computer tasked with detecting security breaches, due to the significant reduction in the amount of data to be processed, relative to threat detection based on processing uncompressed video streams.

Automatic threat detection based on video frame delta information in compressed video streams

Techniques are described related to selecting content items, such as by enabling user analysis and control of product-related content items selected for display to users. The content items may include advertisements or other promotional materials, and the selecting of the content items may be performed as part of determining particular promotional materials to display or otherwise present to particular users in particular situations. User analysis and control of selected content items that are displayed on a target electronic site may be enabled by providing, as part of the target electronic site, additional selection-related functionality whose availability is restricted to one or more authorized users&#x2014;for example, such additional restricted access information and user-selectable controls may be provided on a version of a Web page of an online retailer to enable the retailer to analyze and influence future content items selected for display on the online retailer's Web page(s).

Contextual analysis and control of content item selection

Techniques are described for determining personalized category-based product information for a user. The described techniques may in some situations be used by or on behalf of an online retailer to determine a sorted order of at least some products within a product category for the online retailer to display to a customer user on a category-specific Web page of the online retailer, such as based on a browse request by the customer for that category or on another identification of the category by the customer. The determination of particular personalized category-based sorted products for such a customer may in some situations be performed based at least in part on prior activities of the customer, including prior interactions by the customer with the online retailer (e.g., actions by the customer to view and/or purchase particular products, product brands, product sub-categories, product sizes, etc.).

Performing personalized category-based product sorting

A security device for monitoring the radio frequency signals generated by mobile phones and similar mobile computing and communication devices. The security device employs an antennae array and computer process that are configured to detect and provide a 'fingerprint' for a mobile device based on the unique identifiers contained with the radio and other wireless signals utilized by such mobile device. The 'fingerprint' that is obtained can be used to keep track of mobile devices as those devices enter and leave the area of the security device. Moreover, the security device can provide an alert when any new, foreign, or otherwise unrecognized device is within range of the security device and share &#x201c;fingerprints&#x201d; and alerts with other security devices in its network.

System and method for a security checkpoint using radio signals

An arrangement for providing targeted content includes data repositories storing information from which targeted content may be selected. The data repositories store at least one contextual relationship graph. The arrangement also includes an input/output interface through which a request for targeted content is made. The arrangement further includes a controller that receives the request for targeted content and selects targeted content using the contextual relationship graph. The controller further provides the selected targeted content through the input/output interface. An arrangement for determining the relative strength of a classification for a group of words includes memory for storing a contextual relationship graph for a given classification and a processor that receives the contextual relationship graph and a plurality of words to be analyzed by the processor, identifies occurrences of the relationships identified in the contextual relationship graph and determines the relative strength of classification based on the identified occurrences.

System and method for providing targeted content

A system and process for improving product recommendations for a first user includes receiving a request for one or more product recommendations for a first user, each product recommendation being associated with any one of a plurality of retailers, receiving a plurality of recommendation sets from one or more automated product recommendation systems, wherein the plurality of recommendation sets are generated using different selection models and using ensemble learning to select one or more most relevant product recommendation sets from the plurality of product recommendation sets.

System and process for improving product recommendations for use in providing personalized advertisements to retail customers

A method of improving user set recommendations for product advertising including receiving a request for user set recommendations from any of a set of retailers where such request is related to one or more products, receiving from a plurality of user sets from one or more automated user recommendation systems, wherein the plurality of user sets are generated using different user models and using ensemble learning to select one or more most relevant user sets from the plurality of user sets.

System and process for improving recommendations for use in providing personalized advertisements to retail customers

A demand driven process of collecting structured product and service information including the steps of: receiving a request for information from a requestor about a specific product or service, or attribute or class thereof, associating one or more potential responders with the request for information, providing the request to the potential responders, receiving and organizing one or more responses, and providing the organized responses to the requestor, all electronically. An arrangement for the same includes user computers for receiving requests for information, network communication devices for transmitting the requests to potential responders, memory for storing electronic responses and a controller for organizing, updating, and providing access to the electronic responses.

Demand-driven, collaborative systems and processes for collecting structured information

Techniques are described for dynamically generating recommendations for users, such as for products and other items. In at least some situations, the techniques include using multiple recommendation strategies, such as by aggregating recommendation results from multiple different recommendation strategies. Such recommendation strategies may have various forms, and may be based at least in part on data regarding prior interactions of numerous users with numerous items. In addition, information about current selections of a particular user may be gathered based at least in part on providing a GUI ('graphical user interface') for display to the user that includes selectable information about numerous recommended items, and dynamically updating the displayed GUI with newly generated recommendations of items as the user makes selections of particular displayed recommended items (e.g., newly generated recommendations that are similar to the selected items in one or more manners, or are otherwise related to the selected items).

Multi-strategy generation of product recommendations

A demand driven process of collecting and collaborating around reviews including the steps of: receiving a request for a review from a requestor, associating one or more potential responders with the request for a review, providing the request for a review to one or more potential responders, receiving and organizing one or more reviews from the responders, providing access to the organized reviews to the requestor and to the responders, and updating the accessible organized reviews as additional reviews are received, all electronically. An arrangement for the same includes user computers for receiving requests for a review, network communication devices for transmitting the requests to potential responders, memory for storing electronic reviews and a controller for organizing, updating, and providing access to the electronic reviews.

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Castro Valley, CA, United States of America

David Lee Selinger