Abstract: A system and method for implementing bid adjustments in an online advertisement exchange are disclosed. A plurality of bids from a plurality of advertisers may be received for an online advertisement opportunity. A first advertiser may be associated with a first bid bias value. In some embodiments, if the first advertiser is associated with a first bid bias value, then the bid received from the first advertiser may be adjusted based on the first bid bias value. For example, an adjusted bid may be calculated based on the bid received from the first advertiser and the first bid bias value. The online advertisement exchange may conduct an online auction with the adjusted bid from the first advertiser. If the first advertiser wins the auction based on the adjusted bid, then the first advertiser may be charged the value of the bid received from the first advertiser instead of the adjusted bid value.

Abstract: Disclosed herein is a matching of multiple different social graphs to generate a combined social graph. Such a combined social graph may be searched and used in determining information to provide to a user, for example. An iterative metric learning approach may be used in matching multiple different social graphs. A mechanism is provided to validate a match from different social graphs. Match validation of data field matching is provided.

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: One or more methods and/or techniques for media queuing are provided herein. A user, of a client device, may search for a media item (e.g., a movie, video, and/or TV show). The media item may be provided by one or more content providers (e.g., businesses that provide media items in one or more formats, such as for rental, purchase, download, pickup, etc.). Responsive to the media item being of interest to the user, one or more media queuing options may be presented to the user. The media queuing options may correspond to one or more formats and/or one or more content providers (e.g., rental from a first content provider; purchase from a second content provider; etc). Responsive to the user invoking a media queuing option, the media item may be queued for consumption by the user.

Abstract: One or more methods and/or techniques for coupon providing is provided herein. A user, of a client device, may search for an entity (e.g., a consumer product and/or service). The entity may be associated with a domain (e.g., a business that offers the entity for purchase). An advertisement associated with the entity and/or the domain may be identified. A coupon associated with the advertisement for the domain may be identified. The coupon may be applicable to the entity. The advertisement and the coupon may be provided on a webpage.

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.

Abstract: Disclosed herein is a matching of multiple different social graphs to generate a combined social graph. Such a combined social graph may be searched and used in determining information to provide to a user, for example. An iterative metric learning approach may be used in matching multiple different social graphs. A mechanism is provided to validate a match from different social graphs. Match validation of data field matching is provided.

Abstract: Disclosed herein is system, method and architecture facilitating goal setting and achievement and providing positive social and economic motivators for goal achievement. Progress toward a goal is tracked and a determination may be made based on the progress whether or not to initiate one or more actions to stimulate progress and/or increase the likelihood of success in achieving a goal and/or achieving a milestone in a path of progression toward the goal.

Abstract: Techniques are provided that include determining recommendations, of items, to be provided to users, based on information that may include social graph information. Techniques may be used prior to recommendation determination, or afterwards to modify initially determined recommendations. The techniques may improve diversity or privacy aspects associated with recommendations, such as by reducing duplication, or reducing effects of social grouping connections on recommendation determination or on initially determined recommendations.

Abstract: Disclosed are a method and apparatus for limiting the number of results returned by a store in response to a query. Upon receiving an initial query, the data store returns a page of results that includes a subset of the data items within the data store satisfying the conditions of the query. The data store also provides a marker indicating the extent of the set of data items. If a subsequent query that requests additional results which satisfy the same query conditions and that includes the marker is received, the data store returns a page of results that includes a subset of data items that are disjoint from the initial subset, and provides an updated marker which indicates the extent of the union of the initial and subsequent subsets. If still further results are desired from the data store, an additional query containing the updated marker may be submitted.

Abstract: Methods and systems are provided that can include value-based quasi-proportional allocation of combinations of online content items, such as online advertisements, for potential serving on Web pages. Combinations may be assembled and valued. A highest valued or otherwise qualified subset of combinations may be identified for serving. Combinations of the highest valued subset may be allocated for serving, and served, in accordance with a value-based quasi-proportional allocation scheme.

Abstract: Disclosed are a method and apparatus for limiting the number of results returned by a data store in response to a query. Upon receiving an initial query, the data store returns a page of results that includes a subset of the data items within the data store satisfying the conditions of the query. The data store also provides a marker indicating the extent of the set of data items. If a subsequent query that requests additional results which satisfy the same query conditions and that includes the marker is received, the data store returns a page of results that includes a subset of data items that are disjoint from the initial subset, and provides an updated marker which indicates the extent of the union of the initial and subsequent subsets. If still further results are desired from the data store, an additional query containing the updated marker may be submitted.

Abstract: Methods and systems are provided that include bidding techniques for use with online advertising auctions. Methods and systems are provided relating to bidding for display of an advertisement, where the allocation of serving opportunities for advertisement slots takes into account competing bids associated with advertisers. A highest bid associated with an advertiser is allocated all the serving opportunities of one of the advertisement slots. The remaining bids associated with advertisers are allocated serving opportunities between the remaining slots based on various factors, such as historical online advertising bidding and delivery information and performance metric information.

Abstract: Disclosed herein is system, method and architecture facilitating goal setting and achievement and providing positive social and economic motivators for goal achievement. Progress toward a goal is tracked and a determination may be made based the progress whether or not to initiate one or more actions to stimulate progress and/or increase the likelihood of success in achieving a goal and/or achieving a milestone in a path of progression toward the goal.

Abstract: Disclosed herein is system, method and architecture facilitating goal setting and achievement and providing positive social and economic motivators for goal achievement. Progress toward a goal is tracked and a determination may be made based the progress whether or not to initiate one or more actions to stimulate progress and/or increase the likelihood of success in achieving a goal and/or achieving a milestone in a path of progression toward the goal.

Abstract: An electronic device implemented method includes facilitating an auction for an ad space of an advertisement network. A bid and a creative are received from an advertiser for the ad space. An attribute of the creative is determined that is obtrusive to a viewer experience. An extent that the attribute is obtrusive is determined. An extent that the attribute is effective in obtaining a goal of the advertiser is determined. A correlation between the extent that the attribute is obtrusive and the extent that the attribute is effective in obtaining a goal of the advertiser is determined.