Abstract: Computer-readable media, computer systems, and computing devices for facilitating presentation of search result items having varying prominence is provided. The method includes referencing a search result item to be presented within a search results page in response to a search query. Thereafter, a determination is made that a size prominence of the search result item is to be modified. Such a determination can be based on a result attribute(s) associated with the search result item and a result attribute(s) associated with other search result items within the search results page. The size of the search result item is adjusted in accordance with the determination that the size prominence of the search result item is to be modified.

Abstract: One or more techniques and/or systems are provided for ranking recommendations within a set of recommendations. For example, a set of locational relevance boundaries may be generated and/or configured for ranking the set of recommendation. For example, a locational relevance boundary may adjust a rank of a recommendation using a rank influence (e.g., a linear function, a step function, a numerical value, and/or any other function used to increase, decrease, or assign a value to the rank based upon a current location of the user). The locational relevance boundary may be applied based upon the current location of the user corresponding to one or more threshold distances from a target recommendation location. For example, a logarithmic function may be applied to a rank of a theater recommendation when the user is less than 1.2 miles from the theater. Ranked recommendations may be provided to the user.

Abstract: Technologies are described herein for placing search results on a search engine results page (SERP). A query may be received. The query may be transmitted to a plurality of search result providers. A first set of search results and a second set of search results may be received from the search result providers. Intent features may be extracted from the first set of search results. User intent of the second set of search results may be inferred based on the extracted intent features. The first set of search results and the second set of search results may be ranked based on the inferred user intent. The SERP may be rendered according to the ranked first set and second set of search results.

Abstract: A computer-implemented method, a computer system, and computer media for discovering links in scripts are provided. The computer system includes a crawler, a rules engine, and an index that are utilized to store links generated by scripts located in webpages in the index. The crawler traverses a network to locate webpages having scripts. The rules engine parses the located webpages and extracts the scripts based on rules that are satisfied by segments of the extracted scripts. The rules engine evaluates the segments of the extracted scripts to generate links. After the rules engine validates the links, the rules engine transmits the links to the index for storage.

Abstract: Computer-readable media, computer systems, and computing devices for facilitating presentation of search result items having varying prominence is provided. The method includes referencing a search result item to be presented within a search results page in response to a search query. Thereafter, a determination is made that a size prominence of the search result item is to be modified. Such a determination can be based on a result attribute(s) associated with the search result item and a result attribute(s) associated with other search result items within the search results page. The size of the search result item is adjusted in accordance with the determination that the size prominence of the search result item is to be modified.

Abstract: Methods and computer-storage media having computer-executable instructions embodied thereon that facilitate generating a machine-learned model for ranking search results using click-based data are provided. Data is referenced from user queries, which may include search results generated by general search engines and vertical search engines. A training set is generated from the search results and click-based judgments are associated with the search results in the training set. Based on click-based judgments, identifiable features are determined from the search results in a training set. Based on determining identifiable features in a training set, a rule set is generated for ranking subsequent search results.

Abstract: Computer-readable media, computer systems, and computing devices facilitate providing entity-specific content to a user in response to a search request. A search request is received from a user and determined to be related to an entity. Domains associated with the entity are also identified. The search service identifies a set of potential answers and uses the potential answers to generate a set of reformulation queries, which are used to query answer services. Answers returned by the answer services are ranked and bound to an entity card, which is subjected to a quorum checking process that facilitates optimization of the use of allocated screen real estate associated with the entity card. A representation of the entity card is presented on a search-results page.

Abstract: Technologies are described herein for placing search results on a search engine results page (SERP). A query may be received. The query may be transmitted to a plurality of search result providers. A first set of search results and a second set of search results may be received from the search result providers. Intent features may be extracted from the first set of search results. User intent of the second set of search results may be inferred based on the extracted intent features. The first set of search results and the second set of search results may be ranked based on the inferred user intent. The SERP may be rendered according to the ranked first set and second set of search results.

Abstract: Methods and computer-storage media having computer-executable instructions embodied thereon that facilitate generating a machine-learned model for ranking search results using click-based data are provided. Data is referenced from user queries, which may include search results generated by general search engines and vertical search engines. A training set is generated from the search results and click-based judgments are associated with the search results in the training set. Based on click-based judgments, identifiable features are determined from the search results in a training set. Based on determining identifiable features in a training set, a rule set is generated for ranking subsequent search results.

Abstract: Systems, computer-implemented methods, and computer-readable media for presenting video search results for query suggestions are provided. A search query is received from a user. One or more query suggestions related to the search query are determined. One or more video items or images relevant to the one or more query suggestions are accessed. One or more image representations for the one or video items or images relevant to the one or more query suggestions are displayed to the user who input the original search query.

Abstract: A computer-implemented method, a computer system, and computer media for discovering links in scripts are provided. The computer system includes a crawler, a rules engine, and an index that are utilized to store links generated by scripts located in webpages in the index. The crawler traverses a network to locate webpages having scripts. The rules engine parses the located webpages and extracts the scripts based on rules that are satisfied by segments of the extracted scripts. The rules engine evaluates the segments of the extracted scripts to generate links. After the rules engine validates the links, the rules engine transmits the links to the index for storage.