Abstract: The present teaching relates to analyzing user behavior associated with web contents. Information related to user interactions associated with a content item placed on a reference property is first obtained. A measurement associated with each user interaction of the content item is determined based on the obtained information. An analyzing model for the content item which characterizes statistics of the measurements associated with the content item is further constructed. A measurement threshold to be used to determine a cost of placing the content item on a target property is further determined using the constructed analyzing model.

Abstract: In an example, sets of event information associated with events may be identified. The events may include intentional click events, accidental click events and/or skip events. Accidental click probabilities associated with the accidental click events and/or the skip events may be determined. Machine learning model training may be performed, using the sets of event information associated with the events and labels associated with the events, to generate a first machine learning model. The labels may include second labels associated with the intentional click events and/or third labels associated with the accidental click events and/or the skip events. The second labels may correspond to an intentional click classification. The third labels may be based upon the accidental click probabilities. Click probabilities associated with content items may be determined using the first machine learning model. A content item may be selected for presentation via a client device based upon the click probabilities.

Abstract: One or more computing devices, systems, and/or methods for selecting content items for transmission to client devices are provided. A first content item may be transmitted to a first set of client devices. A first request for content associated with a first client device of a second set of client devices may be received. A first bid value associated with a second content item may be selected. The first bid value may be modified based upon a second bid value associated with the first content item to generate a third bid value associated with the second content item. The second content item may be selected from a first plurality of content items for presentation via the first client device based upon a plurality of bid values having the third bid value. The second content item may be transmitted to the first client device.

Abstract: One or more computing devices, systems, and/or methods for mailbox-based coupon display are provided. For example, a plurality of email messages stored in a mailbox of a first email account of a first user may be identified, and may be evaluated to identify a plurality of coupons. The plurality of coupons may be analyzed to determine one or more coupon features. User data and/or activity data associated with the first user may be analyzed to determine one or more user features. A predictive model may be tuned based upon the one or more coupon features and/or the one or more user features. A set of scores may be generated for the plurality of coupons based upon the predictive model. A graphical user interface may be controlled based upon the set of scores to display one or more coupons.

Abstract: In an example, a companion user account is generated without a user specifying a username of the companion user account, wherein the companion user account is different than a primary user account of the user. A first interface, that provides access to resources associated with the primary user account, is displayed via a client application. A second interface, that provides access to resources associated with the companion user account, is displayed via the client application. A content targeting profile associated with the companion user account is generated based upon activity associated with the companion user account and/or one or more interests selected by the user. A subset of content items is selected, from among a plurality of content items and based upon the content targeting profile, for presentation via the second interface associated with the companion user account. A content item of the subset of content items is displayed via the second interface.

Abstract: Systems and methods are disclosed for opting-out of targeted advertising in online advertising environments. One method includes receiving an opt-out verification request, the opt-out verification including an IP address of a user device and HTTP header fields of an HTTP request of the user device; determining a geographic area of the user device based on the IP address of the user device; accessing an opt-out database having entries of user devices that opted-out of receiving targeted advertising based on at least one HTTP header field of the HTTP request; determining whether the user device has opted-out of receiving targeted advertising based on the determined geographic area of the user device, the HTTP header fields of the HTTP quest, and the entries of user devices of the opt-out database; and transmitting a verification acknowledgement when the user device is determined to have opted-out of receiving targeted advertising.

Abstract: The present teaching relates to method, system, and programming for evaluating expressions. An expression indicative of conditions and metadata associated therewith is obtained. A determination is made as to whether the expression corresponds to a modified version of an earlier expression based on the metadata. In response to a determination that the expression is the modified version of the earlier expression, a query associated with the modified expression is transmitted to a forecasting cluster so that the modified expression is to be evaluated by the forecasting cluster. In response to a determination that the expression does not have a corresponding earlier expression, the expression is evaluated.

Abstract: Briefly, embodiments disclosed herein may relate to digital content selection, and more particularly to weighted pseudo-random digital content selection for use in and/or with online digital content delivery, such as online advertising, for example.

Abstract: Systems and methods are disclosed for sorting elements, such as bids in an auction environment or marketplace for the display of an advertisement on a web page. According to one implementation, a plurality of elements may be received over a network. For example, the plurality of elements may comprise a plurality of bids, each of which may include, for example, a bid price, a bid allocation, and a bid target. The received set of elements may be recursively partitioned into a plurality of element subsets. For example, the element set may be partitioned about a pivot selected from a sample set of elements chosen from the element set. A subset of elements may be identified from the element set as eligible elements (e.g., bids eligible for selection as a winning bid). Once the set of eligible elements has been identified, the recursive partitioning of elements may be terminated.

Abstract: In an example, an article may be analyzed to identify entity terms. Entity term relevance scores associated with the entity terms may be determined based upon the article and the entity terms. One or more first entity terms may be selected based upon the entity term relevance scores. One or more sets of reference position information associated with the one or more first entity terms may be determined. A first set of reference position information is based upon one or more positions, in the article, of one or more references to a first entity term. One or more second entity terms of the one or more first entity terms may be selected based upon the one or more sets of reference position information. A set of one or more salient entity tags associated with the article may be generated based upon the one or more second entity terms.

Abstract: A system for generating an advertisement is provided. The system may receive an advertisement request from a client device and select an advertisement from a database in response to the advertisement request. The system may identify an advertiser web server associated with the advertisement, for example a landing page. The system may retrieve a picture from the advertiser web server and integrate the picture with the advertisement to generate an enhanced advertisement. The system may serve the enhanced advertisement to the client device.

Abstract: One or more computing devices, systems, and/or methods are provided. A manifest associated with a first video may be generated. The manifest may include a first web address associated with accessing the first video, one or more first milestone markers of the first video, and/or one or more first beacon web addresses associated with the one or more first milestone markers. The manifest may be transmitted to a first client device. An indication addressed to a first beacon web address of the one or more first beacon web addresses may be received from the first client device. It may be determined, based upon the indication addressed to the first beacon web address, that the first client device displayed a first portion of the first video corresponding to a first milestone marker, of the one or more first milestone markers, associated with the first beacon web address.

Abstract: Systems, apparatuses, and methods are provided for determining a bid value for placing an advertisement onto advertising space available through an electronic marketplace. A method is used for calculating the option value of maintaining the advertisement in the advertising space during one or more periods of time. The option value may be based on expected profits and the estimated future value of maintaining the advertisement. The option value may then be used to calculate the bid price for placing the advertisement.

Abstract: Methods for creating and updating rules for distribution of an online advertising inventory. The methods can include generating a rule conditions section of a GUI that is configured to display a plurality of parameters of a rule condition of a rule for distribution of an online advertising inventory. Each displayed parameter of the rule condition can be graphically represented by a basic shape (e.g., a hexagon). And, each basic shape of the rule condition can be labeled with an alphanumerical indication of the graphically represented parameter and can also be clustered together in the GUI. The methods can also include generating a rule summary section of the GUI that is configured to display a plurality of rule conditions of a rule. The methods can also include generating a rules list section of the GUI that is configured to display a plurality of rules for distribution of inventory.

Abstract: A distribution of a content selection being distributed throughout a wireless mesh network may be tracked. A wireless device in the wireless mesh network enables the content selection to be exchanged. Wireless devices then exchange the content, and a network topology is recorded in response. Finally, the network topology is reported to a reporting agent.

Abstract: A facility for processing a search query is described. The facility identifies one or more items that satisfy the query, at least one of which is a media sequence. For each identified media sequence, the facility identifies an advertising message based upon the contents of the query. In response to the query, the facility returns a search result that indicates the identified items. When one of the identified media sequences is selected in the search result, the selected media sequence is provided in conjunction with the advertising message identified for it.

Abstract: Systems and methods are provided for determining a quantity of network location visitors that are likely generated or encouraged by specific offline events. A corresponding number of leads may then be attributed to and associated with those specific events. Ongoing conversion activity of those visitors may be tracked and associated with the offline events. Conversions of those visitors may be attributed entirely or partially to one or more specific offline events. The effectiveness of each offline may then be evaluated based on aggregate lead and conversion information.

Abstract: One or more computing devices, systems, and/or methods are provided. In an example, an internet resource identification item associated with one or more internet resources may be identified. User activity information associated with a plurality of events may be analyzed to determine a plurality of sets of text associated with the internet resource identification item, wherein each set of text of the plurality of sets of text is associated with an event, of the plurality of events, associated with an internet resource of the one or more internet resources. A plurality of term representations may be determined based upon the plurality of sets of text. A user intention-based representation associated with the internet resource identification item may be generated based upon the plurality of term representations. A content item may be selected for presentation via a client device based upon the user intention-based representation.

Abstract: A method of providing targeted content across user channels includes receiving a plurality of device activity events on a user device, storing the received plurality of device activity events, creating an audience population based on the stored device activity events, determining links for additional secondary user devices based on the user device, creating a cross-channel advertising campaign targeting the determined audience population, and running the cross-channel advertising campaign based on the device activity and the determined additional secondary user devices.

Abstract: Disclosed are systems and methods for rendering augmented videos on mobile devices and computing environment with limited computational resources. The disclosed systems and methods provide a novel framework for performing automatic detection of surfaces in video frames resulting in the creation of a seamless in-video augmentation object experience for viewing users. The disclosed framework operates by leveraging available surfaces in digital content to show augmentation objects in compliance with various pre-established contextual and technical constraints. The disclosed framework evidences a streamlined, automatic and computationally efficient process(es) that modifies digital content at the surface level within the frames of the digital content based on the contextual and technical constraints, and the computational resources of the device augmented digital content is rendered on.