Abstract: Architecture that uses content from off-page data sources such as feeds (e.g., yellow pages, coupons, social networks, commerce, etc.) to present additional, relevant information in association with search results. The additional and relevant information is directly relevant to the implicit task the user is trying to accomplish. The architecture includes online and offline mechanisms that identify an entity represented on a web page and look-up information related to that entity in disparate data sources. Relevance heuristics are employed to determine which of the available entity data to show in the caption given the user query, the web page, and the underlying user task (other known information about the user such as geographic location).

Abstract: Architecture that inserts one or more label items in search result entries. In addition to the typical search result caption (title, snippet, and link), the architecture includes the label component of one or more of the label items in the result entry. The number and type of label annotations are based on the query. When a particular label item is selected (e.g., hover, mouse click), a presentation component (e.g., expansion object, pop-up window) launches proximate to a label item in response to interaction with the label item and presents additional information from the target webpage. The additional information can include an action and data related to the search result entry and the target webpage. The data can be obtained from a data source other than the target webpage.

Abstract: Architecture that facilitates the mapping of multimedia topic summaries from one data source, to web search results from another data source. An algorithmic technique is provided that discriminates (selects) between topic summaries that are wanted and not wanted for presentation to the search engine user based on a predetermine set of characteristics or features. Topic summaries are each pre-associated with a topic identifier. A page identifier is extracted from or created for the webpage that is used to match the topic identifiers to the correct webpage. The page identifier is aligned with the topic identifier of the topic summaries to find matches between topic summaries and webpages. Once alignment is completed, the correct topic identifier is inserted into the internal extended representation (e.g., associated with the content header) of every webpage, which enables the subsequent fetch of the topic summaries for display to users.

Abstract: Architecture that computes a dominant image from one or more images on a webpage. A dominant image classifier scans webpages in an offline-created index to identify the prominent images in the webpages. In a more specific implementation the image selected is the image associated with a name query. Face detection technology can be utilized to identify which of the images on a given webpage contain faces. A query classifier identifies queries that contain people names. In the context of search engines and search result pages, the web results for name queries can further include prominent people face images as thumbnail images. Additional facts (structured data) can further be included that together with the results elements of caption title, snippet and attribute (uniform resource locator (URL)) provide an improved summary of the person on the page.

Abstract: Answers are provided to users in response to queries as a supplement to any responsive documents. Query formats for entity and attribute combinations are identified. The query formats can be substituted with entity and attribute combinations that have a corresponding attribute value to form a list of answered queries. The attribute value corresponding to an answered query can be provided when a query is received that matches an answered query.

Abstract: Architecture that provides a preview template of information supplemented to a result entry of a results page, such as a search engine results page. A data component supplements the result entry with information from a results destination document. The information is segmented and grouped into logical collections of related results according to contextual templates. Each template is associated with an interactive label that exposes a corresponding collection in response to label interaction. Each label of a template is a visual cue that includes a descriptive title which relates to individual web results of the collection. A user can scan through the labels and interact only with the section (collection) of interest to obtain a preview of destination document results before committing a click that navigates the user to the destination document of the website. The labels are also ranked within the template of information for a given result entry.

Abstract: A presentation-layer algorithm that uses pixel-based character approximations, a feedback loop for detecting the available presentation width, and presentation-layer specific knowledge of the space available for the content in its rendered form, further taking into consideration adjacent content to optimize the presentation of web result title and snippet text.

Abstract: Architecture that uses content from off-page data sources such as feeds (e.g., yellow pages, coupons, social networks, commerce, etc.) to present additional, relevant information in association with search results. The additional and relevant information is directly relevant to the implicit task the user is trying to accomplish. The architecture includes online and offline mechanisms that identify an entity represented on a web page and look-up information related to that entity in disparate data sources. Relevance heuristics are employed to determine which of the available entity data to show in the caption given the user query, the web page, and the underlying user task (other known information about the user such as geographic location).

Abstract: Architecture that inserts one or more label items in search result entries. In addition to the typical search result caption (title, snippet, and link), the architecture includes the label component of one or more of the label items in the result entry. The number and type of label annotations are based on the query. When a particular label item is selected (e.g., hover, mouse click), a presentation component (e.g., expansion object, pop-up window) launches proximate to a label item in response to interaction with the label item and presents additional information from the target webpage. The additional information can include an action and data related to the search result entry and the target webpage. The data can be obtained from a data source other than the target webpage.

Abstract: Answers are provided to users in response to queries as a supplement to any responsive documents. Query formats for entity and attribute combinations are identified. The query formats can be substituted with entity and attribute combinations that have a corresponding attribute value to form a list of answered queries. The attribute value corresponding to an answered query can be provided when a query is received that matches an answered query.

Abstract: Techniques are provided for segmenting text into categorized discourse constituents and attaching discourse constituents into a structural representation of discourse. Techniques for determining hybrid structural and non-structural summaries of a text are also provided. A text is segmented based on a theory of discourse analysis into at least a main discourse constituent containing spatio-temporal information about a single event in a possible world view. The discourse constituents are then inserted into a structural representation of discourse. Non-structural techniques are used to determine relevance scores and important discourse constituents are determined. Relevance scores are percolated through the structural representation of discourse to determine supporting preceding discourse constituents that preserve grammaticality. A hybrid text summary is then determined based on the structural representation of the discourse and relevance scores.