Abstract: Methods, systems, and apparatus for selecting content items based on presentation context are presented. In one aspect, a method includes for each of a plurality of content item slots of a resource: obtaining first performance data based on a performance of content items that were presented in a navigational context in the content item slot; obtaining second performance data based on a performance of content items that were presented in a non-navigational context in the content item slot; determining, from the first and second performance data, a navigational performance adjustment factor for the content item slot, the navigational performance adjustment factor indicating, for the content item slot, a performance of content items presented in the navigational context relative to a performance of content items presented in the non-navigational context.

Abstract: Example embodiments of the present invention include a method, a system, and a computer program product for provisioning a computing system in accordance with an automated data analytics lifecycle. The method includes defining a holistic context of an analytics lifecycle for an analytic problem. One or more data sets for solving the analytic problem and at least a portion of original data in the one or more data sets may be conditioned to generate conditioned data. The method also includes selecting a model to analyze at least one of the original data and the conditioned data and executing the selected model on at least one of a portion of the original data and a portion of the conditioned data to confirm an adequacy of the selected model. Results of execution may be communicated to at least one entity for provisioning computing resources to implement the selected model.

Abstract: An example system can include a server that includes or is associated with a keyword recommendation module. The keyword recommendation module can be configured to select keywords for a search engine for use in a search engine marketing campaign, wherein the search engine provides more traffic to Internet content of a publisher than other search engines, for the keywords. The module can also be configured to determine, per keyword, user engagement with the Internet content resulting from the traffic provided by the search engine for the keywords, according to one or more of time spent viewing the Internet content, page views of the Internet content, and dwell times. The module can also be configured to score, per keyword, the keywords according to the determined user engagement with the Internet content, and generate keyword recommendations according to the scoring of the keywords.

Abstract: A system for receiving data associated with a mobile content is configured to calculate an expected value of the mobile content based at least in part on the data received, and determine a bid amount for a sponsorship of the mobile content based at least in part on the expected value.

Abstract: Identifying impressions relating to a target publisher that are related to or derived from a user interaction with a content recommendation source. User activity data for multiple users is collected during an activity window. Based on the collected user activity data, an initial interaction by a user with a source is identified and used to establish a source-related user session beginning at a time of the initial interaction and ending after a session period. A set of impressions (e.g., page views) by the user relating to the target publisher occurring during the user session is identified. The identified set of impressions is associated with the user session. A source-related user activity measurement is calculated based on the identified user sessions and associated impressions occurring during the activity window.

Abstract: A system and method is disclosed for presenting relevant advertising to user search queries. The ads are based on content which is derived from a set of documents/pages from websites forming a collective.

Abstract: A targeted advertising system selects an asset (e.g., ad) for a current user of a user equipment device (e.g., a digital set top box in a cable network). The system can first operate in a learning mode to receive user inputs and develop evidence that can characterize multiple users of the user equipment device audience. In a working mode, the system can process current user inputs to match a current user to one of the identified users of that user equipment device audience. Fuzzy logic and/or stochastic filtering may be used to improve development of the user characterizations, as well as matching of the current user to those developed characterizations. In this manner, targeting of assets can be implemented not only based on characteristics of a household but based on a current user within that household.

Abstract: A method and system for controlling real-time bidding for online advertisements is disclosed. According to one embodiment, a computer-implemented method comprises receiving a real-time bidding (RTB) request from a bidder. The RTB request contains a campaign target. An online advertisement campaign corresponding to the RTB request is placed. Campaign performance data is received from an impression server and/or an event server. The campaign performance data is compared to the campaign target. Based on the result of comparison, it is determined whether to enable or disable the online advertisement campaign.

Abstract: Systems, methods, and non-transitory computer-readable media can determine a frequency by which content items published by an entity are to be provided for a user. Examples of content items previously published by the entity are selected. Information is provided to assist the user in a determination about whether to assent to provision of content items published by the entity for the user.

Abstract: A method and system for controlling real-time bidding for online advertisements is disclosed. According to one embodiment, a computer-implemented method comprises communicating with a bidder and an impression server and an event tracking server. The bidder receives a real-time bidding (RTB) request containing an available impression from an exchange and places a bid corresponding to the RTB request. The impression server receives impression requests from a browser and responds to the impression requests from the browser. The event tracking server receives event requests from the browser and responds to event requests from the browser. Campaign performance data is retrieved from one or more of the impression server and the event tracking server and compared to the campaign target. The bidder is notified whether to bid for online advertisement impressions based on the campaign performance data.

Abstract: Identifying impressions relating to a target publisher that are related to or derived from a user interaction with a content recommendation source. User activity data for multiple users is collected during an activity window. Based on the collected user activity data, an initial interaction by a user with a source is identified and used to establish a source-related user session beginning at a time of the initial interaction and ending after a session period. A set of impressions (e.g., page views) by the user relating to the target publisher occurring during the user session is identified. The identified set of impressions is associated with the user session. A source-related user activity measurement is calculated based on the identified user sessions and associated impressions occurring during the activity window.

Abstract: A computer-implemented method and system for enabling the automated selection of keywords for rapid keyword portfolio expansion are disclosed. In some embodiments, a report is generated comprising selected keywords and a corresponding value for each selected keywords, with the corresponding value being based on the corresponding keyword being omitted from trafficking on a search engine, and at least a portion of the selected keywords are removed from being trafficked on the search engine based on the selection of the keywords to be omitted, with the removing of the at least a portion of the selected keywords being performed in response to a user input corresponding to the report, the user input being used to determine the at least a portion of the selected keywords to be omitted.

Abstract: It is an object of the present invention to predict a destination easily, and a destination display method for displaying a predicted destination. The destination prediction apparatus of the present invention includes: a behavior history acquiring unit that acquires, the behavior history; a visit history acquiring unit that acquires the visit history; a similar behavior date-and-time extractor that performs a similarity determination between a behavior within a predetermined period prior to a present date and time and a behavior in another period with reference to the behavior history and that extracts a date and time of the behavior in another period determined to be similar as a similar behavior date and time from the behavior history; and a destination candidate extractor that extracts, as a destination candidate, a location visited within a predetermined period before or after the similar behavior date and time from the visit history.

Abstract: An event based service provides services and/or products based on an event. Services/products are made available to persons attending an event. Services, products, and/or advertisements can be made available to persons via wireless mobile communications devices. The services/products can be made available to persons attending an event. Services/products can be made available while the event is occurring. Additionally, advertising space is auctioned allowing the ability to bid for advertising space for advertising services/products via the event based service. Individual providers can offer services/products to a group of people at the same location, and at a time that people may be most interested in the services/products. Access to the event based service can be via service provider offered access points. An individual provider's device can act as a server that enables services/products to be purchased.

Abstract: A system and method is disclosed for presenting relevant advertising to user search queries. The ads are based on content which is derived from a set of documents/pages from websites forming a collective.

Abstract: A classified ads server receives a search query from a mobile device operated by a user. The search query is parsed and a plurality of tokens is extracted from the search query. A query classification is determined based on the query, using a domain index, and query response candidates are selected from a content index based on the search query tokens and the query classification. A relevance score is generated for each of the query response candidates, and a classified ad is selected based on the relevance scores. The classified ad is sent to the user device.

Abstract: Methods and systems for dynamically incorporating advertising content into multimedia environments, such as games, are provided. Example embodiments include a dynamic inserter, which selects content, based upon a set of criteria, to deliver to a receiving client system, such as a game client. The receiving client system typically dynamically determines locations within the game where advertisements are desirably inserted. Associated with these locations are ad tags that specify criteria for the ads including, for example ad type, ad genre, and scheduling information, which are sent by the client system to the dynamic inserter to select appropriate ads. The dynamic inserter selects ads based upon the criteria and sends them to the client system, which selects them for ad tags with conforming criteria. The client system then renders the selected ad in the appropriate location.

Abstract: Disclosed is an apparatus for recommending content using user context awareness. A content recommendation method performed by the content recommendation apparatus includes monitoring content use information of a user, calculating a profit of the user for content recommendation and an annoyance of the user with the content recommendation based on a result of the monitoring, and comparing the calculated profit and annoyance to determine a time to recommend content to the user. Accordingly, the content recommendation can be provided without interfering with use of content by the user by recommending content using awareness of the user's context.

Abstract: Method, system, and programs for online advertising are disclosed. One or more targets associated with an entity are identified based on a first piece of information related to each target and a second piece of information related to the entity. The one or more targets are considered as likely being interested in content that can be made available by the entity. A connection is established between the entity and each identified target through a bi-directional communication channel. Activities between the entity and each target through the bi-directional communication channel are monitored. The entity delivers the content to an identified target through the bi-directional communication channel established between the entity and the identified target. In response to the delivered content, the identified target is able to provide a feedback to the entity through the bi-directional communication channel.

Abstract: To implement a multi-touch attribution model, a conversion event resulting from user activity is programmatically detected. A set of events that precede the conversion event is identified. Respective events of the set occur on respective websites. The conversion event is attributed to multiple websites of the respective websites.

Abstract: Marketing is facilitated based on a profitability prediction. A merchant optimizes offers to a website visitor based on predicted profit for potentially offered items. The profitability predication can be deployed to determine incentives to marketing affiliates, and to determine bids for search terms when the merchant uses a paid search bid manager. Information specific to a site visitor is used to predict a profitability metric for specific items that can be offered to that visitor.

Abstract: Computationally implemented methods and systems include acquiring a captured image, wherein the captured image depicts at least one entity, performing a comparison between an estimated potential revenue generated from a distribution of the captured image and an estimated potential liability incurred for the distribution of the captured image, and modifying the captured image by placing at least one advertisement image at a particular location of the captured image. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

Abstract: Computationally implemented methods and systems include acquiring a captured image, wherein the captured image depicts at least one entity, performing a comparison between an estimated potential revenue generated from a distribution of the captured image and an estimated potential liability incurred for the distribution of the captured image, and modifying the captured image by placing at least one advertisement image at a particular location of the captured image. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

Abstract: A computer-implemented method and system for enabling the automated selection of keywords for rapid keyword portfolio expansion are disclosed. Various embodiments are operable to normalize a plurality of keywords received from a source, filter the normalized plurality of keywords against one or more keyword filtration lists, produce site-specific variants of the filtered plurality of keywords, associate at least one level of dimension data with each of the plurality of keywords, and store the processed plurality of keywords and dimension data in a keyword database.

Abstract: Provided is a process, including: obtaining a coupon issued by a merchant, the coupon being redeemable both on-line, at the merchant's website, and in-store, at a physical location of the merchant; sending the coupon to publishers for presentation to consumers by the publishers on user devices of the consumers; and receiving indications from the user devices of the consumers that the consumers interacted with the coupon, the indications indicating a consumer selection of an in-store redemption option or an on-line redemption option.

Abstract: Based on prior interactions associated with a user, an online system predicts an amount of interaction by the user with an object associated with an advertisement. Using the predicted amount of user interaction, the online system determines an expected value of presenting the advertisement to the user. The advertisement is ranked among other advertisements based on the expected values associated with the advertisements, and one or more advertisements are selected for presentation to the user based on the ranking. An advertisement may also specify a threshold amount of interaction with an associated object as targeting criteria, so the predicted amount of interaction with the object associated with the advertisement may determine if a user is eligible to be presented with the advertisement.

Abstract: A method includes obtaining transaction data for two or more items, determining valuations for the two or more items, grouping the two or more items into one or more bundles, wherein each bundle comprises a different combination of the two or more items, estimating a joint distribution of valuations for the two or more items in each of the one or more bundles based on the transaction data for the two or more items, and estimating expected profits for each of the one or more bundles over a range of bundle prices from the joint distribution.

Abstract: Temporal budget optimization in online advertising, comprising: receiving a user selection of a time period in the future and of a joint budget for M online ad entities, wherein M?2; forecasting, based on historical data associated with the M online ad entities, a future ROI function of each of the M online ad entities, wherein the future ROI function provides revenue as a function of cost; computing individual budgets for the M online ad entities by finding M points to serve as the individual budgets, each of the M points being a certain cost in the future ROI function of a different one of the M online ad entities, such that: the M points have approximately equal derivatives, and a sum of the costs at the M points is approximately equal to the joint budget; and during the time period: tracking a spending of the individual budgets, to determine remaining individual budgets, periodically updating the future ROI functions based on newly-accumulated historical data associated with the M online ad entities, and

Abstract: Tracking and management data for distribution of informational, legal, or contractual notices and tracking associated response, or non-response, is disclosed. The system generates and links tracking data for both the distribution and the response, generates indicators that include the tracking data, and encodes the indicators so that the indicators are detectable as they traverse various events and locations throughout the lifecycle. A detailed audit trail of each event in the distribution and response lifecycle is constructed using data matching methods and various statistics regarding the lifecycle, such that the response habits of notice recipients are formulated.

Abstract: Systems and methods are provided to select potential titles for online content using search query logs from web search service providers. A plurality of search queries are collected from one or more web search service providers. A lifetime value is determined for each of the search queries. Potential titles are then selected from the plurality of search queries using selection criteria including the lifetime value of the search queries. The potential titles can then be provided to content developers who develop online content based on the potential titles.

Abstract: A system can include a server that includes or is associated with a revenue analysis module. The module can be configured to receive user web browsing session data from a data source. The session data may include page view data, page interaction data, and page referral data. The module may also be configured to determine page referral events, revenue generating events, and relationships between the page referral events and the revenue generating events, according to at least part of the session data. The revenue generating events may include events in which a user interaction with the webpage generates revenue. The module may also be configured to determine revenue generated by the revenue generating events per page referral event of the page referral events, according to the relationships between the page referral events and the revenue generating events.

Abstract: An system can include a server that includes or is associated with a keyword price recommendation module. The module can be configured to recommend an optimal price for a keyword, per referral event, in a search engine marketing campaign. For making such a recommendation, the module can be configured to determine revenue generated per referral event for the keyword according to a number of referral events for the keyword for a plurality of users and revenue generated for the keyword by the plurality of users. It can also be configured to select a return on investment percentage for the keyword, and determine the optimal price for the keyword according to the revenue generated per referral event and the return on investment percentage. Additionally or alternatively, the keyword price recommendation module can be configured to calculate the return on investment percentage for the keyword according to at least one market condition.

Abstract: A system for receiving data associated with a mobile content is configured to calculate an expected value of the mobile content based at least in part on the data received, and determine a bid amount for a sponsorship of the mobile content based at least in part on the expected value.

Abstract: An advertisement distribution management apparatus according to an embodiment includes an estimation unit, an assignment unit, an inquiry unit, and a selection unit. The estimation unit estimates an expected profit value in a case in which advertising content is distributed by a first advertisement distribution apparatus in response to an advertisement request. The assignment unit assigns a price rank to the advertisement request on the basis of the expected profit value. The inquiry unit inquires of one or more second advertisement distribution apparatuses whether to distribute the advertising content at the price rank in response to the advertisement request.

Abstract: A real-time prediction market is described. A plurality of predictor agents set forth respective predictions as to a likelihood that an advertisement will be selected when displayed together with certain publisher content. The advertisement is selected from amongst a plurality of advertisements based upon the plurality of predictions set forth by the plurality of predictor agents. Third parties corresponding to the predictor agents are compensated or penalized as a function of predictive accuracy of the predictor agents.

Abstract: A profit index value generation system includes a profit index value calculating unit. The profit index value calculating unit calculates a profit index value related to a link destination web page in accordance with (i) a selection probability value that indicates a probability of selection of link information, the link information being posted on a link source web page displayed on a display screen of a terminal and being linked to the link destination web page on which advertisement information is posted, and (ii) an expected profit value that indicates an amount of profit which is expected to be generated as a result of the advertisement information being displayed on the display screen together with the link destination web page.

Abstract: A method of operating a digital system where the method includes providing a server connected to a communications network configured for two-way communications for system users, and configuring the server to display purchase offers, prizes, or other marketing information on user devices. The method also includes linking scannable codes with the digital system and user devices, so that when one of the scannable codes is scanned, the user device, on which the scan was made, is connected to a website where an offer is presented, wherein the offer can be a discount associated with a purchase, a sponsorship amount associated with a purchase, a gift card, a rebate, or a prize.

Abstract: A commerce system has retailers offering products for sale to consumers. A consideration set including a plurality of products is provided. An interface is provided to submit a profit share corresponding to each of the products. The products are evaluated to determine a discount for each of the products. A first product is selected from the products including a largest profit share. The commerce system is controlled by distributing the largest profit share, an incremental profit corresponding to the first product, and a shopping list including the first product. A value of each of the products is determined to identify a maximum value. The discount is determined for each of the products to increase the value of each of the products to the maximum value. The set of products is accessed to provide a price per use for each of the products.

Abstract: A system and method for predicting a performance of a target advertisement placement via a simulation for optimum tuning is disclosed. A simulator receives a set of queries from a production engine, selects a subset of simulation queries from the queries by filtering, modifies query parameters as needed, transmits the simulation queries to the target engine for simulation, collects search results from the target engine, and computes a summary metric, which includes data fields retrieved from the search results and quantities calculated by using a prediction model derived from a production data warehouse. The simulator may further produce a simulation report, an indicator of performance prediction for the target engine, which comprises multiple metrics for the target engine, calculated with varying engine parameters.

Abstract: A system for targeting advertising content includes the steps of: (a) receiving respective requests for advertising content corresponding to a plurality of mobile communication facilities operated by a group of users, wherein the plurality includes first and second types of mobile communication facilities with different rendering capabilities; (b) receiving a datum corresponding to the group; (c) selecting from a first and second sponsor respective content based on a relevancy to the datum, wherein each content includes a first and second item requiring respective rendering capabilities; (d) receiving bids from the first and second sponsors; (e) attributing a priority to the content of the first sponsor based upon a determination that a yield associated with the first sponsor is greater than a yield associated with the second sponsor; and (f) transmitting the first and second items of the first sponsor to the first and second types of mobile communication facilities respectively.

Abstract: Various technologies described herein pertain to allocating requests based on revenue targets of providers for an online service. Information that indicates revenue budgets of providers for the online service and revenue targets of the providers for the online service can be received. The revenue budgets set maximums for total revenues from the providers and the revenue targets set minimums for the total revenues from the providers. Moreover, a request allocable to one of the providers having a total revenue generated thereby constrained by a corresponding revenue budget can be received. Further, bid values of the providers corresponding to the request can be received. An output of an algorithm can be computed based at least in part upon the bid values of the providers and the revenue targets of the providers. The request can be allocated to a selected provider from the providers based upon the output of the algorithm.

Abstract: Methods, computer systems, and computer-storage media are provided for ranking ads. A reserve price is included in a calculation of a score to rank one or more advertisements for display. The calculation may further rely on a bid submitted by an advertiser for an advertisement, a click probability associated with the advertisement, a relevance of the advertisement to a search query and/or user, and the like. Once the reserve price is used to establish a score for one or more advertisements, a price is calculated for each of the one or more advertisements. The one or more advertisements may be displayed in an order indicated by the scores of each of the advertisements.

Abstract: An online system for managing multiple types of online sites for a company is disclosed. Such an online system is designed to retain user interest in the company.

Abstract: System, method, and computer program product to optimize a monetary value of a use of non-content time during a media distribution, by computing an advertisement value of selling an inventory unit to an advertiser, the inventory unit comprising a non-content time slot during the media distribution; computing a promotional value of using the inventory unit to air a promotion for a program during the media distribution, the promotion for the program comprising at least one of a local promotion and a national promotion; and evaluating the advertisement value and the promotional value to identify an opportunity to optimize the monetary value earned from the use of the inventory unit.

Abstract: An online system provides advertisers with opportunities to bid on presentation of advertisements to a user. Advertisers may bid in real-time on advertisement presentation if the online system determines the expected revenue to the online system from real-time bids is above a threshold value. The expected revenue may be determined based on a probability distribution bids previously placed by advertisers for presenting advertisements to the user or to users with similar characteristics as the user.

Abstract: A method, apparatus and system of property billboarding and financial revenue distribution to property owner in a geo-spatial environment are disclosed. In one embodiment, a method includes generating a community network of user profiles, each user profile of the user profiles associated with a specific geographic location, determining a first user profile of the user profiles, generating advertisements, determining a first advertisement of the advertisements, generating a first display view to include a map view embodied by the community network, the first user profile of the user profiles represented at a location in the map view corresponding with the associated specific geographic location, and the first advertisement of the advertisements displayed in conjunction with the first user profile of the user profiles, and generating a commerce transaction associated with the first user profile of the user profiles.

Abstract: Methods, systems and computer program products for evaluating a score for a particular user of network-based services. In one method, advertisements are provides on webpage(s) of the user. The webpage(s) may include content generated by the user. Advertising revenue generated by the webpage(s) is calculated and a score is assigned to the user based on the calculated advertising revenue.

Abstract: A system and method of social revenue management is disclosed. A member of an online social network reveals a commercial offer from a third party to their social network. The offer is customized and endorsed by the first user and typically includes details such as the price. A customization app obtained from a party outside the social network is used to create the offer. The offer is typically to reserve a bookable entity for a period of time, typically accommodation or transportation. When one or more of the contacts accepts the offer, an agent of the third party rewards the first user with a commission calculated using the purchase price of the offer.

Abstract: Methods, systems, and apparatus, including computer program products, that generate a display including one or more user-adjustable advertising mechanisms and receive a user selection of at least one of the one or more user-adjustable advertising mechanisms. Optionally, a user-adjustable tool can be displayed. The user-adjustable tool is configurable by the user to adjust the at least one user-adjustable advertising mechanism. A graphic is generated that represents at least one other user-adjustable advertising mechanism, where the graphic is generated based at least in part on the adjustment of the at least one user-adjustable advertising mechanism using the user-adjustable tool.

Abstract: The claimed subject matter provides a system and/or a method that facilitates establishing a true market value for an online advertisement. An interface component can receive data related to at least one of a spot market or a future market. A dynamic pricing component can dynamically establish an ad price for an ad unit based on the spot market and the future market, the ad price reflects a market value of the ad unit in accordance with the spot market and the future market.