Apple Inc.

John M Hornkvist

Eric Richard Koebler

Yan J Arrouye

Wayne Loofbourrow

Anubhav Malhotra

Gaurav Kapoor

Pavel Cisler

Kevin W Decker

Alexandre F Carlhian

Anshu Kameswar Chimalamarri

Thomas Deniau

Steve Falkenburg

Yun-chih S Li

Laurent Baumann

Vipul Ved Prakash

Ali T Ozer

Lun Cui

Peter McInerney

Kaelin Lee Colclasure

David Anthony Lyons

Brent P Callaghan

Loic E Vandereyken

Eric Weiss

Ruxton J Tucker

Bradley R M Suinn

Vivek Sehgal

David Salim

Stanley N Hung

Raffael Hannemann

Raphaeal Mor

Rene Chan

Yan Arrouve

Search results are improved, in one embodiment, through the use of subscription information about the status of a subscription to content. The subscription information can be transmitted to a cloud storage service used by a user account of a device; later, a search query from the device causes the receipt of search results from a search using the subscription information and these search results can show the status of the subscription such as whether the content is playable.

Search results based on subscription information

A device implementing a system for providing location based search results includes at least one processor configured to detect that a location of a device is within a location of a store or within a threshold distance of the location, and establish a connection with a wireless network of the store. The at least one processor is configured to access an intranet associated with the store, the intranet being accessed via a network identifier previously stored on the device in association with the store, and receive user input for a search. The at least one processor is configured to obtain, via the intranet, at least one of a query completion suggestion or search result having been targeted to the location of the store or the threshold distance of the location, and display the at least one of the query completion suggestion or the search result in association with the search.

Location-based search results

A device implementing a system for limiting the scope of a search includes a processor configured to, receive, by a first application, first user input including at least a portion of a first search term, and to determine that a second application corresponds to the first search term. The processor is further configured to display a graphical element for activating a search filter that limits search results to content of the second application, and to receive second user input including selection of the graphical element. The processor is further configured to send, to the second application, a search request including at least one of the first search term or a second search term, to receive, from the second application, a completion suggestion or search result based on a search performed on the content of the second application, and to provide the completion suggestion or search result.

Scoping a system-wide search to a user-specified application

A system, method, and machine readable medium are described for providing improved search functionality on a client device.

Systems and methods for providing improved search functionality on a client device

Methods and systems for client side search ranking improvements are disclosed. In one example, a search query is received from a user on a client device. The local search results are filtered based on the received search query and one or more local ranking rules. Features for each filtered local search result are computed. The computed features of each filtered local search result are input to one or more machine learning (ML) models. Each ML model can generate a score for each filtered local search result. The filtered local search results are ranked based on the generated score within a category. In one example, local search results and remote server search results are obtained. The local search results and remote server search results are ranked using at least one machine learning (ML) ranking model. The ranked local search results and remote server search results are displayed on the client device by category.

Methods and systems for client side search ranking improvements

Described is a system (and method) for providing an application specific extended search that is initiated from a system-wide search application such as a 'finder' application or service. The extended search may be automatically performed by an application (including a third-party applications) in order to search its own content from the search initiated within the system-wide search application. Accordingly, the system may provide an efficient and familiar search mechanism that provides a seamless extended search capability that may utilize additional search functionality available within particular applications themselves.

Providing an application specific extended search capability

Systems and methods are disclosed for improving search results returned to a user from one or more search domains, utilizing query features learned locally on the user's device. A search engine can receive, analyze and forward query results from multiple search domains and pass the query results to a client device. A search engine can determine a feature by analyzing query results, generate a predictor for the feature, instruct a client device to use the predictor to train on the feature, and report back to the search engine on training progress. A search engine can instruct a first and second set of client devices to train on set A and B of predictors, respectively, and report back training progress to the search engine. A client device can store search session context and share the context with a search engine between sessions with one or more search engines. A synchronization system can synchronize local predictors between multiple client devices of a user.

Machine learning based search improvement

A device implementing a system for providing query completion suggestions includes at least one processor configured to receive a partial query, and derive one or more query completion suggestions for the partial query from content items that are locally stored on the device, each respective query completion suggestion being associated with metadata extracted from one of the content items from which the respective query completion suggestion was derived. The at least one processor is further configured to rank the one or more query completion suggestions based at least in part on the metadata associated with each of the one or more query completion suggestions. The at least one processor is further configured to provide, for display, at least one of the one or more ranked query completion suggestions.

Query completion suggestions

Systems and methods are disclosed for improving search results returned to a user from one or more domains, utilizing query features learned locally on the user's device. One or more domains can inform a computing device of one or more features related to a search query upon which to the computing device can apply local learning. A local search system can include a local database, a local search history and feedback history database, and a local learning system to identify features about query terms. The features can be learned from the user's interaction with both local search results and remote search results, without sending the user interaction information or other user identification information to a remote search engine. A locally learned feature can be used to extend a query, bias a query term, or filter query results.

Multi-domain search on a computing device

In one embodiment, non-transitory computer-readable medium stores instructions for implementing tagged management of stored items, wherein an embodiment can receive an input indicating the selection of a graphical representation of a file in the GUI of an operating system, and can also receive an input indicating the intent to attach a tag to the file. The system can perform an automatic search through the metadata of files associated with the user and the user account to find the set of files having the tag, responsive to the request to display the set of files. Having located the set of files, an operation can be performed to display the set of files having the requested tag, regardless of the storage location of the files.

Tagged management of stored items

Lockless burst trie indexing inserts marker nodes into a linked list of data and marker nodes, each marker node corresponding to a symbol in an ordered data sequence stored in the data nodes. A trie structure contains entries that represent the symbols of the marker nodes and point to the corresponding marker nodes. The trie structure can contain multiple levels of entries that are linked together in a hierarchy to represent subsets of the data sequences.

Indexing using a lockless burst trie

Methods, systems, and apparatus, including computer program products, for searching for and presenting backups. A first search result including a first version of an item is presented. The first version is associated with a first date range having a first start date and a first end date. User input requesting that an archive including one or more versions of the item be searched is received. A second search result including a second version of the item is presented. The second version is different from the first version. The second version is associated with a second date range having a second start date and a second end date. The second date range does not overlap with the first date range.

Growing community of inventors

Los Gatos, CA, United States of America

John M Hornkvist