Abstract: In one embodiment, a theme may be obtained. A search query may be executed to identify a plurality of search results pertaining to the theme. A plurality of topics pertaining to the theme may be identified from the search results. Search log data pertaining to the plurality of topics may be ascertained from a search log. The plurality of topics may be ranked based, at least in part, upon the search log data. At least a portion of the plurality of topics may be provided according to the ranking.

Abstract: Briefly, embodiments disclosed herein may relate to formulating recommended search queries. Search query recommendations may be based, at least in part, on multiple user searches performed at least in part in response to consumption of publicly available content, for example.

Abstract: Users may create and/or interact with content that may reference various businesses. For example, a user may submit a search query “Akron Hardware Store” to a search interface that may provide relevant search results for the search query. As provided herein, content suggestions may be provided to the user based upon an occurrence of a business reference of a business. For example, search keywords that resulted in user engagement with the business may be evaluated to identify a set of search keywords (e.g., search queries that led users to an Akron Hardware Store website). A set of content suggestions (e.g., coupons, maps, search queries, website links, images, descriptions, etc.) may be generated based upon the set of search keywords, and may be provided to the user.

Abstract: Briefly, embodiments disclosed herein may relate to formulating recommended search queries. Search query recommendations may be based, at least in part, on multiple user searches performed at least in part in response to consumption of publicly available content, for example.

Abstract: Briefly, embodiments disclosed herein may relate to formulating recommended search queries. Search query recommendations may be based, at least in part, on multiple user searches performed at least in part in response to consumption of publicly available content, for example.

Abstract: Users may create and/or interact with content that may reference various businesses. For example, a user may submit a search query “Akron Hardware Store” to a search interface that may provide relevant search results for the search query. As provided herein, content suggestions may be provided to the user based upon an occurrence of a business reference of a business. For example, search keywords that resulted in user engagement with the business may be evaluated to identify a set of search keywords (e.g., search queries that led users to an Akron Hardware Store website). A set of content suggestions (e.g., coupons, maps, search queries, website links, images, descriptions, etc.) may be generated based upon the set of search keywords, and may be provided to the user.

Abstract: In one embodiment, a theme may be obtained. A search query may be executed to identify a plurality of search results pertaining to the theme. A plurality of topics pertaining to the theme may be identified from the search results. Search log data pertaining to the plurality of topics may be ascertained from a search log. The plurality of topics may be ranked based, at least in part, upon the search log data. At least a portion of the plurality of topics may be provided according to the ranking.

Abstract: Briefly, embodiments disclosed herein may relate to formulating recommended search queries. Search query recommendations may be based, at least in part, on multiple user searches performed at least in part in response to consumption of publicly available content, for example.