This application relates to apparatus and methods for mapping identifiers to customer data over temporal intervals. Various applications may then operate on the mapped customer data to generate output data, such as digital item advertisements. In some examples, a computing device receives a first identifier of a first type, and a plurality of second identifiers of a second type. The computing device obtains customer data, such as sales and browsing data, associated with each of the second identifiers, and generates a confidence score for each of the second identifiers based on the corresponding customer data. Further, the computing device generates mapping data that maps the first identifier to one of the plurality of second identifiers based on the confidence scores. In some examples, the computing device determines the mapping data based on temporal intervals associated with the first identifier and each of the plurality of second identifiers.
Composite Embedding Systems And Methods For Multi-Level Granularity Similarity Relevance Scoring
- Bentonville AR, US Peng Yang - San Jose CA, US Jayanth Korlimarla - Sunnyvale CA, US
International Classification:
G06K 9/62 G06N 20/00 G06F 17/16
Abstract:
Systems and methods for selecting items from a pool of items based on comparisons of composite embeddings are disclosed. An anchor embedding is generated for a target string. The anchor embedding is a composite embedding including at least a first initial embedding and a second initial embedding. An item embedding is obtained for each item in a pool of items. Each item embedding is a composite embedding including a first initial item embedding and a second initial item embedding. A similarity score is generated by comparing the item embedding to the anchor embedding for each item in the pool of items and a set of items is selected from the pool of items. The set of items includes a predetermined number of items in the pool of items having a highest similarity score.
Flexible Embedding Systems And Methods For Real-Time Comparisons
- Bentonville AR, US Adrian Sonjong Yi - San Francisco CA, US Peng Yang - San Jose CA, US Valeriy Pelyushenko - San Jose CA, US Haibo Yan - San Bruno CA, US Vivek Kumar - Bellevue WA, US Jayanth Korlimarla - Sunnyvale CA, US Rajesh Garigipati - Dublin CA, US
International Classification:
G06N 20/00 G06F 16/903
Abstract:
Systems and methods for selecting items from a pool of items based on comparisons of composite embeddings are disclosed. A first initial embedding is obtained from a first database for each item in a pool of items and a second initial embedding is obtained from a second database for each item in the pool of items. The first initial embedding is generated using a first embedding model and the second initial embedding is generated using a second embedding model. A first composite embedding is generated for each item in the pool of items comprising the first initial embedding and the second initial embedding; and compare the first composite embedding for each item in the pool of items to a first anchor embedding, wherein the first anchor embedding comprises a first initial anchor embedding generated using the first embedding model and a second initial anchor embedding generated using the second embedding model.
Detection Of Story Reader Progress For Pre-Caching Special Effects
- Mountain View CA, US Evan FISHER - San Francisco CA, US Eric LIU - Redwood City CA, US Peng YANG - San Jose CA, US Emily HOU - Mountain View CA, US Victoria FANG - Mountain View CA, US
International Classification:
G10L 15/22
Abstract:
The disclosure provides technology for enhancing the ability of a computing device to conserve computing resources while providing special effects that are aligned with a text source being read aloud. An example method includes identifying effects data for a text source, wherein the effects data correlates a physical effect with an audible action of a user; receiving audio data comprising a plurality of audible actions, wherein at least one of the plurality of audible actions comprises a spoken word of the text source; determining, by a processing device, that a triggering condition pertaining to the effects data and the text source is satisfied; loading content for the physical effect prior to an occurrence of the audible action, and providing the physical effect to modify an environment of the user.
Dual Supramolecular Nanoparticle Vectors Enable Crispr/Cas9-Mediated Knockin Of Retinoschisin 1 Gene-A Potential Non-Viral Therapeutic Solutions For X-Linked Juvenile Retinoschisis
- Bentonville AR, US Ka Wai YUNG - San Francisco CA, US Peng YANG - San Jose CA, US Gurgen TUMANYAN - San Francisco CA, US
International Classification:
G06Q 30/02
Abstract:
A system for determining the effectiveness of an advertising campaign on an electronic advertising platform includes a computing device configured to obtain exposure data characterizing a user's interaction with the advertising platform during an advertising campaign and to categorize the user into one of a plurality of exposure bins based on the exposure data. The computing device may be further configured to obtain sales feature data characterizing the user's purchase behavior on the advertising platform both before and during the advertising campaign and to categorize the user into one of a plurality of sales clusters based on the sales feature data. The computing device may be further configured to define a control group comprising unexposed users categorized into the same exposure bins and sales clusters as exposed users and to compare purchase data of the exposed users to the purchase data of the control group.
Algorithmic Determination Of A Story Readers Discontinuation Of Reading
- Mountain View CA, US Evan FISHER - San Francisco CA, US Eric LIU - Redwood City CA, US Peng YANG - San Jose CA, US Emily HOU - Mountain View CA, US Victoria FANG - Mountain View CA, US
The disclosure provides technology for enhancing the ability of a computing device to detect when a user has discontinued reading a text source. An example method includes receiving audio data comprising a spoken word associated with a text source, wherein the audio data comprises a first duration and a second duration; comparing the audio data with data of the text source, wherein the first duration of the audio data corresponds with the data of the text source; calculating, by a processing device, a correspondence measure between the second duration of the audio data and the data of the text source; and responsive to determining the correspondence measure satisfies a threshold, transmitting a signal to cease comparing audio data with the data of the text source.
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Peng Yang President
Clindata Insight Inc Business Services at Non-Commercial Site