One or more computing devices, systems, and/or methods for providing comparable items for a query item are provided. A query is constructed based upon a set of similarity characteristics and a set of difference characteristics specified for a query item. The query is executed to identify a set of query item results comprising comparable items having characteristics similar to the set of similarity characteristics and characteristics different from the set of difference characteristics. The set of query item results are provided as query results for the query.

Embodiments of systems and methods for providing search term suggestions in a search system are disclosed. Embodiments as disclosed may utilize the sound of an original search term to locate candidate terms based on the sound of the candidate terms and the frequency of appearance of the candidate terms in the corpus of documents being searched. A set of search term suggestions can then be determined from the candidate terms and returned to the user as search term suggestions for the original search term.

Systems and methods for improving food-related personalization for a user including generating a recipe database including a set of recipe data structures; deriving a recipe vector representation of the recipe data structures; determining a set of user food preferences; extracting a set of recipe vector constraints from the set of user food preferences; determining a personalized food plan for the user, including automatically selecting a subset of the set of recipe data structures associated with recipe vector representations that satisfy the set of recipe vector constraints; determining fulfillment parameters for grocery items associated with the personalized food plan; and automatically facilitating fulfillment of grocery items associated with the personalized food plan based on the fulfillment parameters.

Provided are techniques for mode-specific search query processing. A current search query is received from a user, wherein the user has a user profile. In response to determining that a query mode for the current search query is a guided mode, a query context of the current search query is determined. A classification for the current search query is determined. One or more search influencers are identified using the classification, where each of the one or more search influencers has a corresponding user profile. The current search query is rewritten based on the query context, a private portion of the user profile of the user, and a public portion of each corresponding user profile of each of the one or more search influencers. The rewritten search query is executed to generate search results, and the search results are returned.

A system and method of predicting a user's most meaningful multimedia content includes enabling a sensing device on a user device in response to a user requesting a multimedia operation, performing the multimedia operation for a multimedia content, in response to the multimedia operation, identifying behavioral and interaction cues of the user with the sensing device substantially when the multimedia operation is being performed, updating a recommendation from a set of multimedia content including the multimedia content represented by the behavioral and interaction cues identified, and presenting the updated recommendation to the user.

The disclosed relates to a system for generating a refined query, whereby the system comprises or is coupled with a search engine for searching through a tree of query modification operations, whereby the root node of said tree is an empty node which represents a given initial query, and comprises at least one processor which is configured to perform the following steps:

a) defining a set of query modification operators which can be inserted into said tree;
b) receiving a second set of reference query results;
c) receiving a first set of current query results from a currently given query comprising one or more triple patterns;
d) contrasting the first set of query results with the second set of query results by assessing the differences between the two query results;
e) running the search engine which is configured to perform the following steps:
f) selecting a node of said tree by a computed score derived from the assessed result;
g) selecting any query modification operator of the defined set of query modification operators;
h) if the selected query modification operator does not correspond to any of the triple patterns of the query represented by the selected node, then continue step f);
i) otherwise identifying at least one triple pattern of the query which the selected query modification operator corresponds to;
j) generating a refined query by applying the selected query modification operator to the identified triple pattern.

The present application provides an error correction method and device for search terms. The method comprises: identifying an incorrect search term; calculating weighted edit distances between the search term and pre-obtained hot terms by using a weighted edit distance algorithm, wherein, during the calculation of the weighted edit distances, different weights are set respectively for the following operations of transforming from the search term to the hot terms: an operation of inserting characters, an operation of deleting characters, an operation of replacing by characters with similar appearance or pronunciation, an operation of replacing by characters with dissimilar appearance or pronunciation, and an operation of exchanging characters; and selecting a predetermined number of hot terms based on the weighted edit distances and popularity of the hot terms for error correction prompt. The method and device of the present application can improve the error correction accuracy of error search terms.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing contextual information to a user. In one aspect, a method includes receiving, from a user device, a query-independent request for contextual information relevant to an active resource displayed in an application environment on the user device, generating multiple queries from displayed content from the resource, determining a quality score for each of the multiple queries, selecting one or more of the multiple queries based on their respective quality scores, and providing, to the user device for each of the selected one or more queries, a respective user interface element for display with the active resource, wherein each user interface element includes contextual information regarding the respective query and includes the respective query.

A framework for generating and presenting verbal command suggestions to facilitate discoverability of commands capable of being understood and support users exploring available commands. A target associated with a direct-manipulation input is received from a user via a multimodal user interface. A set of operations relevant to the target is selected and verbal command suggestions relevant to the selected set of operations and the determined target are generated. At least a portion of the generated verbal command suggestions is provided for presentation in association with the multimodal user interface in one of three interface variants: one that presents command suggestions as a list, one that presents command suggestions using contextual overlay windows, and one that presents command suggestions embedded within the interface. Each of the proposed interface variants facilitates user awareness of verbal commands that are capable of being executed and teaches users how available verbal commands can be invoked.

A system, method, and computer-readable medium for proving feedback on database instructions, identifying, for example, existing patterns and providing suggested replacement instructions. This may have the effect of improving the efficiency of instructions used to create and/or manipulate databases. According to some aspects, these and other benefits may be achieved by parsing received instructions into an organizational structure, traversing the organizational structure for known patterns, and suggesting replacement patterns. In implementation, this may be effected by receiving one or more sets of known patterns and corresponding replacement patterns, parsing received instructions, comparing the known patterns with the parsed instructions, and providing suggested replacement patterns based on one or more known patterns matching the parsed instructions. A benefit of may include reducing Cartesian products during the merging of tables.