Systems and methods are disclosed for recommending query parameters to a user based on tenant information. The system can identify a token query parameter from a portion of a query entered in a user interface. The token query parameter can correspond to a system query parameter, such as a query command, a function, etc., or to a user query parameter. The system can identify a tenant of a distributed data intake and query system that is associated with the query. Based on the token query parameter, the system can identify at least one query parameter associated with the tenant. The at least one query parameter can include one or more query parameters previously entered by the user or other users of the tenant, etc. The system can cause the user interface to display one or more recommended query parameters for inclusion in the query.

Embodiments of search systems that leverage the search or access activities of a core group of users to improve search functionality and performance of such search systems are disclosed. Specifically, embodiments may utilize users' search activity to generate clusters of users and associated labels for those clusters. These clusters can be leveraged during a search to generate suggestions for a user conducting the search.

The present application discloses a query auto-completion method and apparatus, a device and a computer storage medium, which relates to the technical field of intelligent search. An implementation includes: acquiring a query prefix input by a user currently, and determining candidate POIs corresponding to the query prefix; acquiring vector representation of query history information of the user and vector representation of each candidate POI; inputting the vector representation of the query history information of the user and the vector representation of each candidate POI into a pre-trained ranking model, so as to obtain a score of each candidate POI; and determining query completion suggestions recommended to the user according to the scores of respective candidate POIs. With the present application, the recommended query completion suggestions may better meet practical requirements of the user.

A method for improving food-related personalized for a user including determining food-related preferences associated with a plurality of users to generate a user food preferences database; collecting dietary inputs from a subject matter expert (SME) at an SME interface associated with the user food preferences database; determining personalized food parameters for the user based on the user food-related preferences and the dietary inputs; receiving feedback associated with the personalized food parameters from the user; and updating the user food preferences database based on the feedback.

Provided is a method of managing a landing page by an electronic apparatus, in which the method includes acquiring first information on a user terminal and second information for the landing page in response to a request for accessing the landing page from the user terminal, generating address information for the landing page based on the first information and the second information, and providing the landing page to the user terminal based on the address information.

A condition resolution system is provided for facilitating resolution of a condition for an entity. The system obtains an indication of a condition to be resolved for the entity, groups the entity with one or more other entities into a group of entities, and ascertains one or more options for resolving the condition using the condition to be resolved and option-related data associated with entities of the group of entities. The condition resolution system further evaluates the one or more options to select an option to resolve the condition for the entity, and determines a risk score for the selected option for resolving the condition. The risk score is based on one or more risk factors, and based on the risk score being acceptable, the system initiates an action based on the selected option to resolve the condition for the entity.

A computer-implemented method is provided for suggesting a query term. The method includes obtaining a seed term and a candidate term. The method further includes retrieving two nodes indicating the seed term and the candidate term respectively from a semi-structured corpora. The method also includes determining, by a processor device, whether the candidate term includes details of information on the seed term based on a positional relation between the two nodes in the semi-structured corpora. The method additionally includes suggesting the candidate term as an additional query term in response to a positive determination. The method further includes performing the query with the candidate term as the additional query term in response to a suggestion of use acceptance to enhance query answer retrieval results.

The present application discloses a query auto-completion method and apparatus, a device and a computer storage medium, which relates to the technical field of intelligent search. An implementation includes: acquiring a query prefix input by a user currently, and determining candidate Points of Interest (POIs) corresponding to the query prefix; acquiring vector representation of spatial-temporal features of each candidate POI; inputting the vector representation of the spatial-temporal features of each candidate POI into a pre-trained ranking model, so as to obtain a score of each candidate POI; and determining query completion suggestions recommended to the user according to the scores of respective candidate POIs; wherein the spatial-temporal features include at least one of a query time feature and a distance feature between each candidate POI and the user. With the present application, a retrieval intention of the user may be better completed, and practical requirements of the user are met.

Semantic analysis to resolve ambiguous user input data with respect to a request for data includes identifying tokens based on the text string, identifying a tables in a database, wherein a token indicates a column from a table and a token indicates a column from another table, identifying candidate join paths for joining tables, obtaining respective candidate results using the candidate join paths, outputting combined candidate results including values from the respective candidate results, obtaining second user input data indicating a selected value, identifying the request for data as unambiguous and identifying a selected join path based on the selected value, and, in response to identifying the request for data as unambiguous, outputting data responsive to the request for data using the selected join path.

An information search system includes: a database configured to store service support information; and an information management device configured to search for predetermined information from the service support information, the information management device including a processor configured to receive an input of a query including a keyword, from a searcher, receive an input of classification information to which a narrowing keyword belongs, present a narrowing keyword belonging to the input classification information and having a correlative relation with the keyword, in a selectable manner, and execute a searching process across the database, based on the input keyword and the selected narrowing keyword.