Abstract: A user device includes a local service module application and an advertising application. The user device receives, at the advertising application, advertisement data from an application-specific server associated with the advertising application. The advertisement data includes advertisement content data configured to render an advertisement. The user device is further configured to send the advertisement data from the advertising application to the local service module application. The user device is further configured to receive, at the local service module application, an advertisement request from an advertisement requesting application installed on the user device. The user device is further configured to send, from the local service module application, the advertisement data to the advertisement requesting application in response to the advertisement request.

Abstract: A user device includes a local service module application and an advertising application. The user device receives, at the advertising application, advertisement data from an application-specific server associated with the advertising application. The advertisement data includes advertisement content data configured to render an advertisement. The user device is further configured to send the advertisement data from the advertising application to the local service module application. The user device is further configured to receive, at the local service module application, an advertisement request from an advertisement requesting application installed on the user device. The user device is further configured to send, from the local service module application, the advertisement data to the advertisement requesting application in response to the advertisement request.

Abstract: A non-transitory computer-readable medium includes computer-executable instructions that cause a processing unit of a user device to receive a multi-link uniform resource locator (URL), wherein the multi-link URL is associated with a plurality of routing link URLs configured to route the user device to a plurality of corresponding application pages. The executable instructions cause the processing unit to receive user selection of the multi-link URL and rank the routing link URLs based on application installation data stored on the user device, wherein the application installation data indicates whether applications for the routing link URLs are installed on the user device. The executable instructions cause the processing unit to select a final routing link URL based on the ranking of the routing link URLs and access an application page associated with the final routing link URL.

Abstract: A user device includes a local service module application and an advertising application. The user device receives, at the advertising application, advertisement data from an application-specific server associated with the advertising application. The advertisement data includes advertisement content data configured to render an advertisement. The user device is further configured to send the advertisement data from the advertising application to the local service module application. The user device is further configured to receive, at the local service module application, an advertisement request from an advertisement requesting application installed on the user device. The user device is further configured to send, from the local service module application, the advertisement data to the advertisement requesting application in response to the advertisement request.

Abstract: A method includes generating vertical-specific (VS) records from data sources. Each VS record includes a vertical identifier and a set of VS data fields. The method further comprises generating, for each VS record, an entity partial (EP) record that includes EP data fields populated from the VS data fields. The EP data fields include an entity ID that indicates an entity for the EP record, a source data field that identifies a data source, and an EP searchable data field including data that is descriptive of the entity. The method further comprises generating a search record for each entity ID by combining data from EP records. The data from the EP records is combined based on the source data included in the EP records. Each search record includes a search record searchable data field that includes data from one or more of the EP searchable data fields.

Abstract: A method includes generating vertical-specific (VS) records from data sources. Each VS record includes a vertical identifier and a set of VS data fields. The method further comprises generating, for each VS record, an entity partial (EP) record that includes EP data fields populated from the VS data fields. The EP data fields include an entity ID that indicates an entity for the EP record, a source data field that identifies a data source, and an EP searchable data field including data that is descriptive of the entity. The method further comprises generating a search record for each entity ID by combining data from EP records. The data from the EP records is combined based on the source data included in the EP records. Each search record includes a search record searchable data field that includes data from one or more of the EP searchable data fields.

Abstract: A method of operating a user device includes receiving, by a processing device of the user device, a conditional ad object from a remote user device. The conditional ad object includes two or more instances of conditional content, one or more access mechanisms, and one or more conditions. Each condition is associated with a respective instance of conditional content when verified. The method includes analyzing the one or more conditions to determine if any of the one or more conditions are met. The method includes selecting a selected instance of the two or more instances of conditional content based on the analyzing of the one or more conditions. The method includes generating a user-selectable link based on the selected instance of conditional content and the one or more access mechanisms. The method includes outputting the user-selectable link via a user interface of the user device.

Abstract: A method of operating a geo-fence pre-caching system that includes a cache server and caches is provided. The method includes receiving from a user device and at a cache server a query wrapper including a cache identifier and a location of the user device. The cache server is implemented in a cloud-based network. The method includes selecting a cache based on the cache identifier. The method includes mapping the location to a first geographical area and accessing a cache entry of a cache record based on the first geographical area. The cache entry indicates the first geographical area. The method includes, based on content of the cache entry, accessing cache entries corresponding to geographical areas adjacent to the first geographical area. The content of the cache entry links to the cache entries. The method includes retrieving and formatting content included in the cache entries for presentation at the user device.

Abstract: A method includes retrieving event analytics data for a software application installed on a plurality of user devices. The event analytics data indicates a number of times each of the application states of the software application were accessed by the user devices. The method further includes mapping function names to the application states accessed by the user devices, each of the function names indicating a functionality associated with the software application. The method further includes determining a usage fraction value for each of the function names, the usage fraction value for each function name indicating the number of times the function name was mapped relative to the number of times each of the function names was mapped. Additionally, the method includes receiving a search query, generating search results based on at least one of the usage fraction values, and transmitting search results.

Abstract: A method and system are disclosed. The method includes generating uncertain user data corresponding to a user of the user device and transmitting the uncertain user data to a remote computing device. The uncertain user data includes a combination of actual user data and noise data. The method includes receiving an advertisement response message from the remote computing device that includes a plurality of conditional ad objects, each conditional ad object including ad content, one or more access mechanisms, and one or more conditions. The method further includes selecting one or more of the plurality of conditional ad objects based on the actual user data and the one or more conditions defined in the selected conditional ad objects. Furthermore, the method includes displaying, for each selected conditional ad object, an advertisement that is based on the ad content and at least one access mechanism defined in the conditional ad object.

Abstract: A method includes receiving a search query containing one or more query terms from a remote device, determining one or more entity types implicated by the search query based on the one or more query terms, and determining an entity score indicating a likelihood that the search query implicates the entity type. The method also includes identifying one or more index clusters from index clusters to search based on the one or more entity types implicated by the search query, generating a query execution plan based on the entity scores, and performing a consumer driven search on the identified index clusters based on a set of query terms corresponding to the one or more query terms and in accordance with the query execution plan to identify a delivery consideration set of records. The method also includes generating delivery search results based on the delivery consideration set of records.

Abstract: A deep linking system includes an advertising engine. The advertising engine includes one or more processors configured to receive an advertisement request and identify one or more advertisement records based on the advertisement request and triggering data included in the one or more advertisement records. The one or more processors are further configured, for each advertisement record, to identify one or more cluster records based on the underlying sponsored state of the identified advertisement record and determine an advertisement score for the identified advertisement record based on the identified cluster records. The one or more processors select one or more of the identified advertisement records based on the advertisement scores, generate advertisement objects based on the selected advertisement records, and transmit the advertisement objects to the remote device.

Abstract: A user device includes a storage device that stores (i) applications and (ii) user application records. Each of the user application records includes attributes associated with a respective one of the applications. The user device includes a processing device that (i) monitors usage of the applications to obtain the attributes and (ii) selectively generates a request. The request includes the attributes and a list of the plurality of applications. The user device includes a network interface device that (i) transmits the request to a server and (ii) selectively receives, from the server, a recommendation to delete at least one of the applications from the user device.

Abstract: A method includes receiving a search query from a user device and identifying function records using the search query. Each function record includes an application access mechanism (AAM) and application state information (ASI). The AAM includes a reference to a native application and indicates one or more operations for the application to perform. The ASI describes a state of the application after the application has performed the operations. Identifying the function records may be based on matches between terms of the search query and terms of the ASI included in the function records. The techniques further include selecting AAMs from the identified function records and identifying one or more AAMs of the selected AAMs that are compatible with the user device. The techniques also include transmitting the identified AAMs to the user device and refraining from transmitting any of the selected AAMs that are not compatible with the user device.

Abstract: Methods for ranking search results are disclosed. The methods include obtaining an unranked set of functionally similar search that all correspond to an action. The methods further include retrieving a ranking vector corresponding to the action. The ranking vector identifies a plurality of software applications that perform a function corresponding to the action and a ranking range for each of the plurality of software applications. The methods further include iteratively ranking the functionally similar search results of the unranked set to obtain a ranked set of functionally similar search results. The ranking is based on the retrieved ranking vector and a random number generator that generates random numbers between the minimum value and the maximum value of the ranking vector.

Abstract: An example system includes a recommendation module. The recommendation module may receive a recommendation request including a set of installed application identifiers and identify a set of candidate application groups including at least one matching candidate application identifier. For each candidate application group, the recommendation module may determine a recommendation score based on a number of matching candidate application identifiers included in the candidate application group that match at least one installed application identifier. The recommendation module may select a first candidate application group based on the recommendation scores and select at least one non-matching candidate application identifier from the first candidate application group that does not match any of the installed application identifiers, resulting in a set of recommended application identifiers.

Abstract: An application search system stores information describing device capabilities used by one or more applications. The device capabilities describe interfaces with hardware on the user device. The application search system identifies the application capabilities related to applications in any search results. One method that the application search system identifies application capabilities includes identifying function calls to device interfaces used by an application. The application search system may receive user-selected identification of a desired application capability from a search, from a user-selected entry or from a search term, among others. The application capability in a search may be used to score relevance of applications and increase relevance of applications matching the desired application capability.

Abstract: A search server stores a plurality of keywords, each associated with an entity type. The server stores grammar rules, each specifying one or more entity types. The server receives a search query with search terms and generates tokens by splitting the search terms, each token associated with a token position that indicates a location of the token within the query. The server generates n-grams. Each n-gram is associated with a start token position and an end token position. The server determines entity types for n-grams that correspond to the keywords and generates a mapping that maps the received entity types and the start token positions of the n-grams that correspond with the received entity types to the end token positions of the n-grams that correspond with the received entity types. The server identifies grammar rules based on the mapping and transmits a result based on the identified grammar rules.

Abstract: An application classifier classifies applications using latent semantic indexing (LSI) vectors of the applications. The application classifier uses a machine-learned model generated based on pairs of LSI vectors of positive and negative training sets of applications, where the positive training set includes applications within a desired category and the negative training set includes applications outside of the desired category. For a given application, the application classifier determines whether the application belongs to the desired category based on similarity of an LSI vector of the application and LSI vectors of positive and negative exemplar applications, as determined by the machine-learned model. If the LSI vector of the application is similar to an LSI vector of at least one positive exemplar application and not similar to an LSI vector of any of the negative exemplar applications, the application is determined to belong to the desired category.

Abstract: A mobile computing device that is configured to: display an icon for a native application via an application launcher, the icon comprises a first image, the application launcher being configured to launch the native application into a first state upon receiving a user selection of the first image; receive a data object that includes information regarding a second state of the native application, the information comprises: an access mechanism that provides access to the second state; and a second image that corresponds with the second state; display the second image in association with the icon, the second image being displayed in conjunction with the first image; launch the native application into the first state in response to the user selection corresponding with the first image; and launch the native application into the second state in response to the user selection corresponding with the second image.