Abstract:
Methods, systems, and apparatus, including computer program products, in which one or more search query suggestions are made for a current search session. Similar previous search sessions which include search queries common to the current search session are identified. Based upon the similar previous search sessions, one or more suggested search queries are derived and provided to a search engine interface for serving to a user or a client.
Abstract:
Methods, systems, and apparatus, including computer program products, in which one or more search query suggestions are made for a current search session. Similar previous search sessions which include search queries common to the current search session are identified. Based upon the similar previous search sessions, one or more suggested search queries are derived and provided to a search engine interface for serving to a user or a client.
Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for collecting query term substitution data based on one or more identified concepts. According to one implementation, a method includes receiving a query that includes at least three sequential query terms; determining that the sequential query terms represent a concept; and in response to determining that the sequential query terms represent a concept, collecting query term substitution data for one or more query terms that occur in queries that include the concept.
Abstract:
Apparatus, systems and methods for contextual query revision are disclosed. A current search query is received during a search session. The current search query includes one or more current search tokens. Potentially inaccurate search tokens are identified from the one or more current search tokens. A possible replacement token is identified based upon the potentially inaccurate search token. A group of related tokens is identified from query logs, and a modified search query is generated if the replacement token is not included in the related tokens.
Abstract:
Methods, systems, and apparatus, including computer program products, for assisting users in performing searches. In one aspect, a query for a search session is received from a user device. A first set of search results responsive to the query is provided to the user device. Search results interaction data are received from the user device that identifies actions that are in response to the search results and taken at the user device. The search results interaction data are analyzed to determine that a remedial search operation should be performed, the remedial search operation determining a second set of search results responsive to the query and providing the second set of search results to the user device for presentation to the user.
Abstract:
Techniques for utilizing a natural language interface to perform data analysis include receiving a natural language question for retrieving data stored in a database and interpreting the natural language question to generate a structured query for the database. The structured query is translated into a natural language representation of the structured query, which is displayed during execution of the structured query. Responsive data is received and one or more visualization types for presenting the responsive data to the user is determined based on the natural language question, the responsive data, and one or more data types of the data. A visualization of the responsive data is generated based on one visualization type of the determined visualization types, which is displayed in a card in a graphical user interface. The card can include the natural language representation of the structured query and the visualization of the responsive data.
Abstract:
Methods, systems, and apparatus, including computer program products, for assisting users in performing searches. In one aspect, a query for a search session is received from a user device. A first set of search results responsive to the query is provided to the user device. Search results interaction data are received from the user device that identifies actions that are in response to the search results and taken at the user device. The search results interaction data are analyzed to determine that a remedial search operation should be performed, the remedial search operation determining a second set of search results responsive to the query and providing the second set of search results to the user device for presentation to the user.
Abstract:
Systems and methods are disclosed herein for processing a natural language query on data tables. According to some embodiments, a natural language query may be originated by a user via a user interface. The natural language query may be parsed to obtain a query term, and a grid range may be identified in a data table as relevant to the query term. A table summary may be prepared including a plurality of data entities based on the grid range. A logic operation may then be determined to apply on the plurality of data entities to derive the query term. The logic operation may then be translated into a formula executable on the data table, and the formula is applied on the data table to generate a result in response to the natural language query.
Abstract:
Systems and methods are disclosed herein for processing a natural language query on data tables. According to some embodiments, a natural language query may be originated by a user via a user interface. The natural language query may be parsed to obtain a query term, and a grid range may be identified in a data table as relevant to the query term. A table summary may be prepared including a plurality of data entities based on the grid range. A logic operation may then be determined to apply on the plurality of data entities to derive the query term. The logic operation may then be translated into a formula executable on the data table, and the formula is applied on the data table to generate a result in response to the natural language query.
Abstract:
Offer listings can be classified as accessory offers or product offers using a classification operation performed on a corpus of offers. Data from the classification operation can be used to classify received queries as either product or accessory, and to classify results as products or accessories for purposes of presenting a relevant list of results to a user.