Abstract: Search results and associated search-result details are provided in response to user queries. Embodiments include identifying a number of search-result details for different indexed search results, identifying one or more detail-attributes for each search-result detail, and identifying one or more user-attributes for a particular user. These search results, associated search-result details, and associated detail-attributes may be stored in a database. Upon receiving a search query from the user, search results may be generated. Search-result details specific to each search result and specific to the end-user may also be generated by identifying the detail-attributes associated with each search-result detail and the user-attributes associated with the end-user. These search results may then be presented to the end-user. Upon receiving an indication of interest in a particular search result, the search result details may then be presented to the end user.

Abstract: Described herein is a system that facilitates assigning indications of usefulness to query suggestions. The system includes a query suggestion generator component that receives a query and generates a query suggestion based at least in part upon the received query. A model component outputs an indication of usefulness with respect to the query suggestion, wherein the model component is a machine-learned model of user behavior with respect to query suggestions.

Abstract: Search results and associated search-result details are provided in response to user queries. Embodiments include identifying a number of search-result details for different indexed search results, identifying one or more detail-attributes for each search-result detail, and identifying one or more user-attributes for a particular user. These search results, associated search-result details, and associated detail-attributes may be stored in a database. Upon receiving a search query from the user, search results may be generated. Search-result details specific to each search result and specific to the end-user may also be generated by identifying the detail-attributes associated with each search-result detail and the user-attributes associated with the end-user. These search results may then be presented to the end-user. Upon receiving an indication of interest in a particular search result, the search result details may then be presented to the end user.

Abstract: A system, media, and method for realtime popularity prediction for event and queries are provided. The popularity prediction is made by a prediction engine that is coupled to a search engine, a crawler, and a sentiment component. The prediction engine determines a change in popularity for an event or a query based on content provided by the crawler, sentiments identified by the sentiment component, and queries received in realtime by the search engine. The prediction engine may also use the content, sentiments, and queries to predict an outcome for a popularity based event.

Abstract: Described herein is a system that facilitates assigning indications of usefulness to query suggestions. The system includes a query suggestion generator component that receives a query and generates a query suggestion based at least in part upon the received query. A model component outputs an indication of usefulness with respect to the query suggestion, wherein the model component is a machine-learned model of user behavior with respect to query suggestions.

Abstract: Presenting a search result to a user. One or more electronic documents are identified based on a search query received from a user. A search result is generated in response to identifying the one or more electronic documents. The search result includes presentation data regarding each of the identified electronic documents. An undesirable content of each of the presentation data of each of the identified electronic documents of the search result is identified. A format attribute of the presentation data of the identified undesirable content is modified. The search result including any modifications is then provided to the user.