Abstract: A system and method operates on a client device and acquires a suspect list of user products based on information derived from the client device. The system normalizes the list, and the user confirms the accuracy of the product list. The user product list is sent to a server where the user product list is compared to other lists using collaborative filtering techniques. The collaborative filtering techniques determine products of interest for the use and the level of interest of the user. The system computes a similarity measure bused upon the number of similar products that match the user's product list and rankings provided by the user and others. Demographic and behavioral data may also be used in performing the comparison and the similarity measure. The system acquires editorial rankings of products from other users and provides a ranked list of recommended products based upon the editorial rankings.

Abstract: A system and method operates on a client device and acquires a suspect list of user products based on information derived from the client device. The system normalizes the list, and the user confirms the accuracy of the product list. The user product list is sent to a server where the user product list is compared to other lists using collaborative filtering techniques. The collaborative filtering techniques determine products of interest for the use and the level of interest of the user. The system computes a similarity measure bused upon the number of similar products that match the user's product list and rankings provided by the user and others. Demographic and behavioral data may also be used in performing the comparison and the similarity measure. The system acquires editorial rankings of products from other users and provides a ranked list of recommended products based upon the editorial rankings.

Abstract: A system and method operates on a client device and acquires a suspect list of user products based on information derived from the client device. The system normalizes the list, and the user confirms the accuracy of the product list. The user product list is sent to a server where the user product list is compared to other lists using collaborative filtering techniques. The collaborative filtering techniques determine products of interest for the use and the level of interest of the user. The system computes a similarity measure based upon the number of similar products that match the user's product list and rankings provided by the user and others. Demographic and behavioral data may also be used in performing the comparison and the similarity measure. The system acquires editorial rankings of products from other users and provides a ranked list of recommended products based upon the editorial rankings.

Abstract: A computer-implemented method for processing and optimizing selection of placement of advertising content related to a brand in websites is provided. The method includes receiving from the user, attributes of an advertisement to be placed on a brand-centric website that relates to the brand, and receiving selections for types of websites to place the advertisement. The method further includes obtaining metrics from selected websites and historical performance for similar advertisements when placed on the selected websites. The method includes processing the obtained metrics and historical performance to define an advertising model. The advertising model defines a score correlated to effectiveness of the advertisement. Optimizing the advertising model is then performed to define a recommended advertising model, where the recommended advertising model defines optimal selections of websites for placement of the advertisement.

Abstract: In another embodiment, a computer-implemented method for processing and optimizing selection of placement, of advertising content related to a brand, in websites of a network is provided. The computer-implemented method is processed by a server in response to communication from a user that is connected to the server over the Internet. The method includes receiving from the user, attributes of an advertisement to be placed on a brand-centric website that relates to the brand, and also receiving selections for types of websites to place the advertisement. The types of websites do not have to be brand-centric websites, but should include content related to the brand. Then, the method includes obtaining metrics from selected websites and historical performance for similar advertisements when placed on the selected websites. The method includes processing the obtained metrics and historical performance to preliminarily define an advertising model.

Abstract: The present invention relates to systems and methods for closed loop confirmation of user generated content. A content management system filters user generated content from at least one content platform to identify content of interest. After content of interest is collected, the user may be asked for permission to use this content. Approval may be sought within the content platform, or may include a redirect to an external website. After approval has been collected, the content is marked as monetizable and provided to brand owners and advertisers for their usage. Additionally, statistics may be generated for the user indicating their approval ratios and their propensity to generate content of interest. These statistics may assist in determining which content should be filtered for in the future.

Abstract: The present invention relates to systems and methods for cloud-based digital asset management. In some embodiments, the cloud-based digital asset management accesses one or more digital asset platforms. Digital assets are collected from these platforms. The digital assets include metadata and may be designated as pending. A user has the ability to update the digital assets status to an approved status. The approved digital assets may then be published to digital asset platforms. Publishing may be performed as a one-click publishing if the user ID is linked to one or more social media accounts. Publishing may also be performed batch wise. The digital assets may also be organized into playlists to facilitate digital asset management and publishing.

Abstract: Embodiments of the present invention provide automatic systems and methods for associating objects in databases of a web site by rate-based tagging. The frequencies of users entering specific tag terms for objects stored in the databases of the web site are used to determine hard associations between objects and tag terms and between objects. When the frequencies of user tags exceed established thresholds, hard associations between objects and tag terms are established. When objects are identified or determined to have hard association with tag terms, the objects are determined to be more clearly associated with the corresponding tag terms. Therefore, they should be highlighted or featured in more prominent locations on web pages of the web site to increase users' confidence in content of the web site. To identify hard-associated objects, more weights can be assigned to the hard-associated objects, which allows them to be more likely to be selected for display in prominent locations.

Abstract: The present invention relates to systems and methods for automated channel addition. A content management system receives a request for channel assessment from the channel. The request may include a JSON file. The system then scores the channel by at the number of users, topics of conversations, sentiment of the topics, and level of engagement for the users. The channel is then cataloged for access by a client (advertiser). Next the system receives approval of the channel from the client. Next the system selects content for the channel. Content selection may be in response to a channel request for particular content, in response to a client request for the particular channel, or through sentiment based matching. After content selection it may be published to the channel. This publishing uses the JSON file to modify the content to be compatible with the channel application programming interface.

Abstract: The present invention relates to systems and methods for generating interactive advertisements which include an interactive bridge control. The interactive bridge control may include live statistics that are collected from other distribution channels. The content is optimized for each distribution channel and each advertisement network that the advertiser wishes to interact with. Distribution channels may include any of social networks, blogs, media sources, news outlets, and retailers, for example. The optimized content is published on each distribution channel and each advertisement network. When published on an advertisement network the ad includes the interactive bridge control. The system then monitors for user interaction with the interactive bridge control. When user interaction is detected with the interactive bridge control a distributed engagement channel may be displayed. These user interactions may also be tracked.

Abstract: The present invention relates to systems and methods for autonomously reprogramming displayed content. A desired result is identified. A psychological profile is accessed for the user. The psychological profile includes a persistent user identification which enables access to the profile across a wide range of content providers. The persistent user identification is stored locally with the user as a cookie, and is associated with usernames the user has for each content provider. Content is selected for by maximizing probabilities of the desired result occurring based upon the psychological profile. The content is then provided to the content provider, and feedback is collected. This feedback is used to update the psychological profile. If the feedback is negative, the system may re-select content by maximizing the probability of the desired result occurring based upon the updated psychological profile.

Abstract: Embodiments of the present invention provide systems and methods for automatically generating tag terms (or tags) for objects in databases of a web site. The metadata of the objects (or data) of the web site are processed and parsed to automatically generate tag terms for the corresponding objects. Information (or data, or content) downloaded from the Internet often comes with metadata, which can exist in titles, description, sources, and authors of the information, etc. The metadata of downloaded information can be process and parsed to generate tag terms for the corresponding objects. The system can automatically generate tag terms for the data, which are stored as objects in the databases, and make the data (or objects) searchable. In addition, the automatically generated tag terms allow associated data to maintain their relationship. For example, data from the same sources, same authors, or same subjects can be identified based on the common tag terms.

Abstract: Methods, systems, and apparatuses for visualizing content of one or more websites are provided. An amount of available content contained by at least one website is determined. A three-dimensional object is displayed having a surface. Each location of the surface of the three-dimensional object corresponds to a portion of the determined amount of available content contained by the website(s). A user is enabled to select a location of the surface of the three-dimensional object. The selected location is mapped to the corresponding portion of the determined amount of available content contained by the website(s). Content of the website(s) corresponding to the selected location, such as a web page, video, audio, an RSS feed, etc., can be accessed by selection of the location. Interaction of the user with the website(s) can be tracked, and the resulting tracking information can be displayed on the three-dimensional object.

Abstract: Computer-implemented methods for defining access to brand related assets are provided. One method includes generating a website that relates to a specific brand, where the specific brand is associated with a plurality of assets that are integrated with the website, and the plurality of assets are obtained from a number of disparate sources. The method also includes assigning each asset an identifier, where the identifier defines a relation of each asset to the specific brand and defining a dashboard access to the specific brand. The dashboard access is configured to identify a user privilege for accessing specific ones of the plurality of assets of the specific brand, the user privilege enabling one or more of viewing details of an existing asset, adding a new asset, and modifying an existing asset.

Abstract: Embodiments of the present invention provide automatic systems and methods for creating a web site based on an emerging subject, which is also a search keyword, by analyzing search activities (or data) of Internet users of a popular Internet search engine. Analysis of search activity data of the Internet search engine can also provide search keywords that are most related to the emerging subject, and Internet sites with content relevant to the emerging subject. To create such a web site that is of interests to Internet users, the emerging subject and related search keywords mentioned above can be searched on Internet sites identified to have content relevant to the emerging subject. The search results are used to populate databases for this web site. After the web site is created and launched, users of the site can contribute to the content of the site. In addition, active users of the web site can engage in basic administration of the site, which reduces the need of intervention by paid administrators.

Abstract: A system and method operates on a client device and acquires a suspect list of user products based on information derived from the client device. The system normalizes the list, and the user confirms the accuracy of the product list. The user product list is sent to a server where the user product list is compared to other lists using collaborative filtering techniques. The collaborative filtering techniques determine products of interest for the use and the level of interest of the user. The system computes a similarity measure based upon the number of similar products that match the user's product list and rankings provided by the user and others. Demographic and behavioral data may also be used in performing the comparison and the similarity measure. The system acquires editorial rankings of products from other users and provides a ranked list of recommended products based upon the editorial rankings.

Abstract: A system and method operates on a client device and acquires a suspect list of user products based on information derived from the client device. The system normalizes the list, and the user confirms the accuracy of the product list. The user product list is sent to a server where the user product list is compared to other lists using collaborative filtering techniques. The collaborative filtering techniques determine products of interest for the use and the level of interest of the user. The system computes a similarity measure based upon the number of similar products that match the user's product list and rankings provided by the user and others. Demographic and behavioral data may also be used in performing the comparison and the similarity measure. The system acquires editorial rankings of products from other users and provides a ranked list of recommended products based upon the editorial rankings.

Abstract: A system and method operates on a client device and acquires a suspect list of user products based on information derived from the client device. The system normalizes the list, and the user confirms the accuracy of the product list. The user product list is sent to a server where the user product list is compared to other lists using collaborative filtering techniques. The collaborative filtering techniques determine products of interest for the use and the level of interest of the user. The system computes a similarity measure based upon the number of similar products that match the user's product list and rankings provided by the user and others. Demographic and behavioral data may also be used in performing the comparison and the similarity measure. The system acquires editorial rankings of products from other users and provides a ranked list of recommended products based upon the editorial rankings.

Abstract: Embodiments of the present invention provide automatic systems and methods for associating objects in databases of a web site by rate-based tagging. The frequencies of users entering specific tag terms for objects stored in the databases of the web site are used to determine hard associations between objects and tag terms and between objects. When the frequencies of user tags exceed established thresholds, hard associations between objects and tag terms are established. When objects are identified or determined to have hard association with tag terms, the objects are determined to be more clearly associated with the corresponding tag terms. Therefore, they should be highlighted or featured in more prominent locations on web pages of the web site to increase users' confidence in content of the web site. To identify hard-associated objects, more weights can be assigned to the hard-associated objects, which allows them to be more likely to be selected for display in prominent locations.

Abstract: Embodiments of the present invention provide systems and methods for automatically generating tag terms (or tags) for objects in databases of a web site. The metadata of the objects (or data) of the web site are processed and parsed to automatically generate tag terms for the corresponding objects. Information (or data, or content) downloaded from the Internet often comes with metadata, which can exist in titles, description, sources, and authors of the information, etc. The metadata of downloaded information can be process and parsed to generate tag terms for the corresponding objects. The system can automatically generate tag terms for the data, which are stored as objects in the databases, and make the data (or objects) searchable. In addition, the automatically generated tag terms allow associated data to maintain their relationship. For example, data from the same sources, same authors, or same subjects can be identified based on the common tag terms.