Abstract: 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.

Abstract: 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.

Abstract: Systems and methods for generating geo-aware auto-suggestions for searching are provided. Characters corresponding to user input for a search query to a searching service may be processed prior to completion of the search query. Information about a geographical location may be processed. A geographical area of interest and potential correction(s) may be identified. Geo-specific suggestions may be determined based on the search query and/or a selected correction. The geo-specific suggestions may correspond to one or more identified businesses located in the geographical area of interest. The determining the geo-specific suggestions may include identifying business listing information corresponding to the geographical area of interest and the search query and/or a selected correction. The geo-specific suggestions may be indicated as a user-selectable option to complete the search query in a search query field for a search engine and/or to submit to the search engine as a selected search query.

Abstract: Systems and methods of generating geo-aware fuzzy autosuggestions for a search engine are disclosed. Transmissions received by a server system may be processed, the transmissions indicating characters received via a user interface as user input for a search query to a searching service. Information about a geographical location received by the server system may be processed, and a geographical area may be identified. A data store may be searched with an exact matching method to identify exact matches of the first set of characters with candidate data from the data store for geo-specific suggestions. Fuzzy searching operations may be performed based on the geographical area and the first set of characters. Geo-specific suggestions may be selected based on the fuzzy searching operations and may be transmitted to the end-user device to cause indication as a user-selectable option via the user interface to complete the search query.

Abstract: Systems and methods for generating geo-aware auto-suggestions for searching are provided. Characters corresponding to user input for a search query to a searching service may be processed prior to completion of the search query. Information about a geographical location may be processed. A geographical area of interest and potential correction(s) may be identified. Geo-specific suggestions may be determined based on the search query and/or a selected correction. The geo-specific suggestions may correspond to one or more identified businesses located in the geographical area of interest. The determining the geo-specific suggestions may include identifying business listing information corresponding to the geographical area of interest and the search query and/or a selected correction. The geo-specific suggestions may be indicated as a user-selectable option to complete the search query in a search query field for a search engine and/or to submit to the search engine as a selected search query.

Abstract: Systems and methods for generating geo-aware auto-suggestions for searching are provided. Characters corresponding to user input for a search query to a searching service may be processed prior to completion of the search query. Information about a geographical location may be processed. A geographical area of interest and potential correction(s) may be identified. Geo-specific suggestions may be determined based on the search query and/or a selected correction. The geo-specific suggestions may correspond to one or more identified businesses located in the geographical area of interest. The determining the geo-specific suggestions may include identifying business listing information corresponding to the geographical area of interest and the search query and/or a selected correction. The geo-specific suggestions may be indicated as a user-selectable option to complete the search query in a search query field for a search engine and/or to submit to the search engine as a selected search query.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Systems and methods for generating geo-aware auto-suggestions for searching are provided. Characters corresponding to user input for a search query to a searching service may be processed prior to completion of the search query. Information about a geographical location may be processed. A geographical area of interest and potential correction(s) may be identified. Geo-specific suggestions may be determined based on the search query and/or a selected correction. The geo-specific suggestions may correspond to one or more identified businesses located in the geographical area of interest. The determining the geo-specific suggestions may include identifying business listing information corresponding to the geographical area of interest and the search query and/or a selected correction. The geo-specific suggestions may be indicated as a user-selectable option to complete the search query in a search query field for a search engine and/or to submit to the search engine as a selected search query.