Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, modifying queries based on non-textual content. In one aspect, a method includes receiving, from a user device, a query including a plurality of terms; determining active non-textual data displayed in an application environment on the user device; determining, from the non-textual textual data, modification data for the query; generating a set of modified queries based on the query and the modification parameters; scoring the modified queries according to one or more scoring criteria; selecting one of the modified queries based on the scoring; and providing, to the user device, search results responsive to the selected modified query.

A search engine provides summary context information for search terms across many or all of the matched records. The summary information can include additional terms including single words, phrases, pairs or other groupings of words, as well as tags or other information having special meaning. Search engines or other providers can allow users to click on or otherwise select one or more of the additional terms. Such selection can be used to add the selected term(s) to a subsequent search, and/or display to the searcher examples of the selected term(s) in context of at least one of selected ones of the plurality of records. Searchers can advantageously be given an ability to set the size of the window from which the additional terms are drawn, the number of records searched

A method, executed by an electronic apparatus, includes retrieving, in response to input of a character string by a user, conversion candidates associated with the input character string, each conversion candidate having a first rank. The method also includes displaying, when a plurality of the conversion candidates are present, the plurality of conversion candidates within a corresponding plurality of regions on a map wherein conversion candidates that have a higher first rank occupy larger regions on the map. A corresponding computer program product and corresponding computer systems are also disclosed herein.

Methods, systems and computer-readable media enable various techniques related to semantic navigation. One aspect is a technique for displaying semantically derived facets in the search engine interface. Each of the facets comprises faceted search results. Each of the faceted search results is displayed in association with user interface elements for including or excluding the faceted search result as additional search terms to subsequently refine the search query. Another aspect automatically infers new metadata from the content and from existing metadata and then automatically annotates the content with the new metadata to improve recall and navigation. Another aspect identifies semantic annotations by determining semantic connections between the semantic annotations and then dynamically generating a topic page based on the semantic connections.

A method and apparatus for performing an integrated search is provided. An interface is provided that allows users to search and select any data related to a searchable term. Searchable terms may comprise titles of content, actors, and tags. Upon receiving results from the initial search, the user progresses through the initial search by selecting a result from the initial search and conducting a further search of that selection. The search may progress through many layers of searching in order to find information useful to the user and the user may perform actions based upon results of the search. The search implements a display with two columns, the first column displaying selectable data, and the second column displaying results to the selected data. The search is further customizable based upon a privacy level selected by the user.

In many embodiments, a system comprising one or more processor and one or more non-transitory computer-readable media storing computing instructions configured to run on the one or more processors and perform: determining a set of questions associated with a campaign by extracting text from one or more advertisements; generating vector embeddings of one or more online activities of a user; receiving a search query from a graphical user interface of a computing device of the user; determining a second question from the set of questions to present to the user based on respective relevance probabilities; determining a confidence score associated with the second question; and when the confidence score associated with the second question exceeds a second predetermined threshold, presenting the second question to the user via the graphical user interface. Other embodiments of related methods and systems are also provided.

In accordance with one embodiment, a method can be implemented that comprises receiving as an input a title of a video from a video sharing web site; parsing the title of the video into one or more n-grams; computing with a computer a title-searchability-score by utilizing the one or more n-grams.

A method and apparatus for performing an integrated search is provided. An interface is provided that allows users to search and select any data related to a searchable term. Searchable terms may comprise titles of content, actors, and tags. Upon receiving results from the initial search, the user progresses through the initial search by selecting a result from the initial search and conducting a further search of that selection. The search may progress through many layers of searching in order to find information useful to the user and the user may perform actions based upon results of the search. The search implements a display with two columns, the first column displaying selectable data, and the second column displaying results to the selected data. The search is further customizable based upon a privacy level selected by the user.

Techniques for performing runtime ranking of skill components are described. A skill developer may generate a rule indicating a skill component is to be invoked at runtime when a natural language input corresponds to a specific context. At runtime, a virtual assistant system may implement a machine learned model to generate an initial ranking of skill components. Thereafter, the virtual assistant system may use skill component-specific rules to adjust the initial ranking, and this second ranking is used to determine which skill component to invoke to respond to the natural language input. Overtime, if a rule results in beneficial user experiences, the virtual assistant system may incorporate the rule into the machine learned model.

A method, computer program product, and computing system for maintaining a first cursor pointer for a memory system, wherein the first cursor pointer concerns a first search criteria and identifies an initial first cursor starting location; receiving a first search request for the memory system that satisfies the first search criteria; executing the first search request within an initial first search window starting at the initial first cursor starting location; and updating the first cursor pointer to identify an updated first cursor starting location based, at least in part, upon the initial first search window.