Abstract:
Systems, methods, and computer-readable storage media for providing query-completion suggestions configured to be searched against vertical information domains in response to receiving a general web search query are provided. At least a portion of a general web search query is received. As the portion of the general web search query is received, query-completion suggestions are determined as is a likely primary intent associated with at least a portion of the determined query-completion suggestions. If the likely primary intent associated with a particular query-completion suggestion is for information associated with a particular vertical information domain other than the general web domain, the query-completion suggestion is provided such that selection thereof causes searching of the query-completion suggestion against the particular information domain for search results.
Abstract:
Methods, computer-storage media, and graphical user interfaces are provided for identifying and presenting rich related sites for task-oriented search queries. Upon receipt of a search query input by a user, one or more query logs are analyzed to determine if the search query is a related to a task being performed by the user. If the query is determined to be a task-oriented search query, search results are identified, as is one or more Uniform Resource Locators (URLs) related to a particular search result. The related URL is presented to the user in association with the particular search result. Additional controls, e.g., search tools that facilitate querying of those URLs determined to be relevant to a particular search result, may also be provided to aid the user in performing the task at hand.
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:
A method, system, and medium are provided for enhancing a search result snippet that is associated with a URL. Potentially descriptive terms of the URL are identified by reconciling multiple sources of terms related to the URL. One aspect includes comparing search terms of historically relevant queries to anchor text for the URL. The search result snippet might be intelligently enhanced by causing common terms to be visibly distinguished when the snippet is displayed.
Abstract:
Methods and computer-readable media are provided for displaying a target search result and relevant information on a search results page in response to a user-inputted query on a search page. The target search result and relevant information are identified in a database as having been previously determined to be most relevant to the query, and may be based on past user behavior, for example. The relevant information may include functional tools that include input boxes allowing for the user to interact with a webpage associated with the target search result via the search results page. Once the target search result and relevant information have been determined, the search results page is displayed.
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:
Computer-readable media, computer systems, and computing devices method of facilitating presentation of alternative query suggestions. The method includes referencing an initial query having a plurality of terms. A term(s) to remove from the initial query is identified, for example, based at least on a number of times the term(s) occur in previous queries. The initial query is modified by removing the term(s) from the initial query. Thereafter, the modified query is used to identify an alternative query suggestion(s) that includes at least one term that matches at least one term of the modified query.
Abstract:
Methods, systems, and media are provided for identifying and clustering queries that are rising in popularity. Resultant clustered queries can be compared to other stored queries using textual and temporal correlations. Fresh indices containing information and results from recently crawled content sources are searched to obtain the most recent query activity. Historical indices are also searched to obtain temporally correlated information and results that match the clustered query stream. A weighted average acceleration of a spike can be calculated to distinguish between a legitimate spike and a non-legitimate spike. Legitimate clusters are combined with other stored clusters and presented as grouped content results to a user output device.
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 method for suggesting related queries to a user query using semantic relationships that are present in informational content stored in public domains. Semantic relationships between named entities are discovered and the named entities are extracted. The entities are indexed according to the relationships. When a user query is received that includes one of the entities, query suggestions are returned to the user based on indexed relationships corresponding to the entity named in the user query.