Abstract: A database system may generate a new case associated with a customer support query. The database system may initiate a search for other cases related to the new case and identify articles linked to the related cases. The database system may identify more relevant articles by finding the related cases that use a similar vocabulary for describing similar customer problems. The database system then identifies the articles used for resolving the prior problems. Thus, the database system may bridge the gap between vocabularies used by customers to describe problems and vocabularies used in articles to describe solutions to those problems.

Abstract: For a database accessible by a plurality of separate organizations, a system is provided for predicting entities for database query results. The system includes a multi-layer neural network. The system is configured to receive a query encoding for one or more previous queries made into the database, a user entity view frequency encoding for a frequency of views by one or more users, and an organization encoding for one or more separate organizations accessing the database; and based on the query encoding, the user entity view frequency encoding, and the organization encoding, generate a neural model for predicting entities for results to a present query into the database. In some embodiments, the neural model is global across the separate organizations accessing the database.

Abstract: A system for providing a search service application is disclosed and includes an application builder component that provides a search model for a first object of a plurality of objects. The search model is based at least on an end-user input field corresponding to a first attribute of the first object and a search result output field corresponding to a second attribute of the first object. The search model is also associated with a backend data store that supports a storage structure that stores information relating to the first object. The system also includes a deployment engine that automatically configures a search engine system associated with the backend data store to generate new search indexes based on the search model, and to place a portion of indexed data into a first partition and to place another portion of indexed data into at least another partition based on the search model.

Abstract: Searching stored content is disclosed. A first mapping is created from an object to one or more stored relational database tables. A second mapping is created from the object to an indexer schema. One or both of the following is done: 1) using the first mapping to translate a search request expressed in an abstract query language to a first query language associated with the relational database; and 2) using the second mapping to translate the search request to a second query language associated with the indexer schema.

Abstract: A system for moving search results visibly comprises an interface, a processor and a memory. The processor is configured to a) determine an ordering of one or more results in a subsequent set of search results as merged into a displayed set of search results; b) determine one or more interleaving positions for the subsequent set of search results in the displayed set of search results; c) cause the creation of one or more blank spaces in the one or more interleaving positions; and d) cause a display of one or more results in the subsequent set of search results in the one or more blank spaces. The memory causes a display of one or more results in the subsequent set of search results in the one or more blank spaces.

Abstract: A system for providing a search service is disclosed and includes a processor-based search service application builder component that provides a search model representing a search service application for a first object of a plurality of objects. The search model is based at least on a user-defined end-user input field corresponding to a first attribute of a plurality of attributes associated with the first object and a user-defined search result output field corresponding to a second attribute of the plurality of attributes. The search model is also associated with a backend data store that supports a storage structure configured to store information relating to the first object. The system also includes a processor-based deployment engine that automatically configures a search engine system associated with the backend data store system to generate and/or update search index(es) based on at least one of the first attribute and the second attribute.

Abstract: Searching stored content is disclosed. A first mapping is created from an object to one or more stored relational database tables. A second mapping is created from the object to an indexer schema. One or both of the following is done: 1) using the first mapping to translate a search request expressed in an abstract query language to a first query language associated with the relational database; and 2) using the second mapping to translate the search request to a second query language associated with the indexer schema.

Abstract: An online system stores objects that may be accessed by users. The online system also stores indexes of terms related to different entity types of objects. When a user provides a search query, the online system compares the search terms with terms stored in the indexes. Based on the comparisons, the online system determines term features for entity types associated with an index. The online system provides the term features as inputs to a machine learning model. The machine learning model outputs a score for each entity type indicating a likelihood that the search query is for an object associated with the entity type. The machine learning model output is used by the online system to select one or more entity types that the user is likely searching for. The online system offers objects of the likely entity types to the user as results of the search query.

Abstract: A system for providing a search service is disclosed and includes a processor-based search service application builder component that provides a search model representing a search service application for a first object of a plurality of objects. The search model is based at least on a user-defined end-user input field corresponding to a first attribute of a plurality of attributes associated with the first object and a user-defined search result output field corresponding to a second attribute of the plurality of attributes. The search model is also associated with a backend data store that supports a storage structure configured to store information relating to the first object. The system also includes a processor-based deployment engine that automatically configures a search engine system associated with the backend data store system to generate and/or update search index(es) based on at least one of the first attribute and the second attribute.

Abstract: A system for providing a search service application is disclosed and includes an application builder component that provides a search model for a first object of a plurality of objects. The search model is based at least on an end-user input field corresponding to a first attribute of the first object and a search result output field corresponding to a second attribute of the first object. The search model is also associated with a backend data store that supports a storage structure that stores information relating to the first object. The system also includes a deployment engine that automatically configures a search engine system associated with the backend data store to generate new search indexes based on the search model, and to place a portion of indexed data into a first partition and to place another portion of indexed data into at least another partition based on the search model.

Abstract: As part of providing the services to users, an online system stores multiple records that are accessible by users of the online system. When a user provides a search query, the online system extracts morphological and dictionary features from the query. The online system provides the extracted features to a machine learning model as an input. The machine learning model outputs a score for each potential entity type that indicates a likelihood that the search query is for a record associated with the entity type. The output from the machine learning model is used by the online system to select one or more entity types that the user is likely searching for. The online system searches the stored records based on the search query but limits the searching to records associated with at least one of the selected entity types.

Abstract: A system for providing a search service application is disclosed and includes an application builder component that provides a search model for a first object of a plurality of objects. The search model is based at least on an end-user input field corresponding to a first attribute of the first object and a search result output field corresponding to a second attribute of the first object. The search model is also associated with a backend data store that supports a storage structure that stores information relating to the first object. The system also includes a deployment engine that automatically configures a search engine system associated with the backend data store to generate new search indexes based on the search model, and to place a portion of indexed data into a first partition and to place another portion of indexed data into at least another partition based on the search model.

Abstract: System, method, and computer product embodiments for proving a graphical user interface (GUI) for a GUI object are described. A computing device provides, within the GUI, a polymorphic lookup interface for retrieving a plurality of entity instances to relate to the GUI object. The computing device provides a plurality of types of entities within the polymorphic lookup interface. A type of entity selected from the plurality of types limits the possible entity instances that may be returned. Through the polymorphic lookup interface, the computing device enables a user to select two or more entity instances to relate to the GUI object. Each of the selected entity instances may be selected from a plurality of possible entity instances that are returned, where each possible entity instance is a same type of entity.

Abstract: A method for providing recommendation information from a network application service is disclosed and includes receiving, by a server, user activity data relating to a first data object of a plurality of data objects in a network application service, and storing the user activity data in a structured storage model comprising a plurality of nodes representing a plurality of items including the first data object, and at least one edge representing user activity data relating to the plurality of items. When a recommendation search criteria relating to the first object is received, recommendation information corresponding to the recommendation search criteria is retrieved and transmitted. The recommendation information is based on at least one inference determined from the structured storage model.

Abstract: A system for moving search results visibly comprises an interface, a processor and a memory. The processor is configured to a) determine an ordering of one or more results in a subsequent set of search results as merged into a displayed set of search results; b) determine one or more interleaving positions for the subsequent set of search results in the displayed set of search results; c) cause the creation of one or more blank spaces in the one or more interleaving positions; and d) cause a display of one or more results in the subsequent set of search results in the one or more blank spaces. The memory causes a display of one or more results in the subsequent set of search results in the one or more blank spaces.

Abstract: Federated search is disclosed. A result associated with a search of a content source not natively configured to provide content type data for content items is received. A content type is associated with a content item included in the result based at least in part on information associated with the result.

Abstract: A database system may generate a new case associated with a customer support query. The database system may initiate a search for other cases related to the new case and identify articles linked to the related cases. The database system may identify more relevant articles by finding the related cases that use a similar vocabulary for describing similar customer problems. The database system then identifies the articles used for resolving the prior problems. Thus, the database system may bridge the gap between vocabularies used by customers to describe problems and vocabularies used in articles to describe solutions to those problems.

Abstract: A system for moving search results visibly comprises an interface, a processor and a memory. The processor is configured to a) determine an ordering of one or more results in a subsequent set of search results as merged into a displayed set of search results; b) determine one or more interleaving positions for the subsequent set of search results in the displayed set of search results; c) cause the creation of one or more blank spaces in the one or more interleaving positions; and d) cause a display of one or more results in the subsequent set of search results in the one or more blank spaces. The memory causes a display of one or more results in the subsequent set of search results in the one or more blank spaces.

Abstract: Searching stored content is disclosed. A first mapping is created from an object to one or more stored relational database tables. A second mapping is created from the object to an indexer schema. One or both of the following is done: 1) using the first mapping to translate a search request expressed in an abstract query language to a first query language associated with the relational database; and 2) using the second mapping to translate the search request to a second query language associated with the indexer schema.

Abstract: A method for building an application is disclosed and includes receiving a request to build a search service application for a first object, where the object is associated with attributes and each attribute is associated with a value, receiving a first indication selecting an end-user input field that corresponds to a first attribute associated with the first object, and receiving a second indication selecting a search result output field that corresponds to an attribute associated with the first object. The method also includes selecting a code template from a plurality of code templates in a code library that comprises programming code for creating a search model of a search service application. Using the selected code template, the search model representing the search service application is generated based on the end-user input and the search result output fields.