Yp LLC

Randell Beltran

Sudheer Sahu

Gunjan Sharman

Monik Khare

Kiran Sugana

Grace T Mase

Saravana Narayana Reddy Siddhavarapu

Mark Shuman

David Mayer

Nataliya Kupchyk

Premkumar Mani

Systems, methods, and computer-readable media are provided to assist a user to identify one or more businesses of interest. Individual selections of businesses by end users to retain information corresponding to the businesses may be facilitated. Collections of business information may be retained in a repository. Each end user may be classified into a set of categories based on attributes. A first end user may be matched to a first category. A first set of collection information associated with a first set of end users that correspond to the first category and the first location may be identified. A recommendation for the first end user may be determined based on the first set of collection information, the first category, and the first location.

Systems and methods for facilitating discovery and management of business information

Techniques for making personalized provider recommendations in related categories include identifying a first entity category from a plurality of entity categories based on context information. A first category relationship is identified from a plurality of category relationships based on the first entity category. The first category relationship indicates that the first entity category and a second entity category are related. A first provider specific profile is identified from a plurality of provider specific profiles based on user profile data associated with a user account. The first provider specific profile is associated with the first entity category. A second provider specific profile associated with the second entity category is identified from the plurality of provider specific profiles based on the user profile data. A plurality of providers including a first provider associated with the first provider specific profile and a second provider associated with the second provider specific profile is displayed.

Systems and methods for implementing a personalized provider recommendation engine

A data storage system or service is provided for the data that is generated by the personalization system. The data storage system can be configured to support storing, retrieving or querying, and updating of data such as user information, personalized content such as personalized business information and collection information, statistics information related to users, collections, businesses, and the like. The data model design of the data storage system may be configured to optimize performance associated with specific features of the personalized system such as following and/or sharing of collections. Additionally, the data storage system may be configured to detect and provide user notifications of trigger events.

Data storage service for personalization system

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Arcadia, CA, United States of America

Randell Beltran