Inventor

TENNETI TEJASWI

US28 patents

⚠️ This page may combine multiple inventors who share the name “TENNETI TEJASWI”. Patents are grouped by organization below to help distinguish them — per-person disambiguation is on the roadmap.

TENNETI TEJASWI

MAPLEBEAR INC

Method and medium for personalized recommendation of recipes including based on embeddings for a user and for stored recipes

Determining generic items for orders on an online concierge system

Clustering data describing interactions performed after receipt of a query based on similarity between embeddings for different queries

Clustering data describing interactions performed after receipt of a query based on similarity between embeddings for different queries

Method, medium, and system for personalized recommendation of recipes including items offered by an online concierge system based on embeddings for a user and for stored recipes

Method, medium, and system for personalized recommendation of recipes based on embeddings for a user and for stored recipes

Identifying items offered by an online concierge system for a received query based on a graph identifying relationships between items and attributes of the items

Query reformulations for an item graph

Query reformulations for an item graph

Identifying items offered by an online concierge system for a received query based on a graph identifying relationships between items and attributes of the items

Attribute node widgets in search results from an item graph

Attribute node widgets in search results from an item graph

Determining generic items for orders on an online concierge system

Generating a suggested shopping list by populating a template shopping list of item categories with item types and quantities based on a set of collection rules

Contextual bandit model for query processing model selection

Accounting for item attributes when selecting items satisfying a query based on item embeddings and an embedding for the query

Providing search suggestions based on previous searches and conversions

Using machine-learning model to generate a user interface with personalized combined filters for search results

False negative prediction for training a machine-learning model

Training a machine learned model to determine relevance of items to a query using different sets of training data from a common domain

Machine learning approach to provide adaptive search result page load size and layout

Distributed approximate nearest neighbor service architecture for retrieving items in an embedding space

Language model decoding for search query completion

Query image generation in search systems using generative artificial intelligence (AI)

Ranking search results based on appeasement signals and query specificity

Method, computer-readable storage medium, and system for adaptively controlling search recall set sizes based on query entropy

APPLE INC

Methods for refining search results in an application

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