The present disclosure identifies and/or delivers tailored content based upon a service dialog. For example, the systems may receive a request for tailored content, facilitate a service dialog to obtain information related to the request, and communicate a plurality of tailored content based upon the information related to the request. Further, the systems may identify tailored content based upon a consumer profile, communicate the tailored content to a web client, and/or receive a selection of the tailored content. Further still, the systems may modify a magazine (e.g., content that is presented electronically) based upon tailored content.

Systems and methods are disclosed for providing non-intrusive advertising content to users. The method includes receiving user input reflecting user content preferences for receiving desired content related to specific topics in lieu of standard advertising slots while watching playable media content via a set-top box. The method may further include receiving a request for playable media content and then retrieving desired content based on user content preferences. Thereafter, the method may include choosing non-intrusive advertising content and generating datagrams that include the desired content and the non-intrusive advertising content. The datagrams may be concatenated with the playable media content to generate displayable content. The display content may then be provided for displaying.

A method comprises providing a first set of geographically distributed pods for storing account information on a first set of advertisements associated with web properties associated with a first set of geographically distributed users; enabling the first set of users to update the account information on the first set of pods, each user being associated with at least one advertisement and a particular pod that is not the most distant pod from the user; recognizing that the first set of pods cannot satisfy a user demand threshold; coupling an additional pod for storing additional account information on a second set of advertisements for a second set of users; enabling the second set of users to update the additional account information, the additional pod being not the most distant pod from the second set of users; receiving a content request; and identifying a particular advertisement based on the content request.

Methods, systems and programs are provided for facilitating user-participated online advertisements, including at least one of: integrating online advertisements with user incentives and displaying said online advertisements on websites, wherein said websites can be displayed on all display devices, including computers, laptops, netbooks, cell phones, hand-held devices, and the like; and providing functions for an online account to design, endorse or modify online advertisements for entities and individuals, wherein said advertisements can be customized. Such methods, systems and programs are to effectively address low membership reach rates of websites and poor online advertising response rates through computer codes to empower Internet users to control online advertisement display, and to have a say and stake in the online advertising process. These are revolutionary technologies to disrupt the traditional non-user-participated online advertising technologies, to dramatically increase Internet usage and to create a win-win situation for all parties involved.

Methods, systems and programs are disclosed for facilitating dynamic online wish fulfillment and for transforming non-interactive assets into user-interactive assets. Such methods, systems and programs are to effectively increase online purchasing activities through joint wish fulfillment, as well as to effectively address low membership reach rates of websites and poor online advertising response rates through seamlessly integrating dynamic online wish fulfillment with online sponsor advertisements to empower Internet users to conduct more online shopping, control online advertisement display, and to have a say and stake in the online advertising process. These are revolutionary technologies to disrupt the traditional non-dynamic wish fulfillment and non-user-participated online advertising technologies, to dramatically increase Internet usage and to create a win-win situation for all parties involved.

Methods, systems and programs are provided for transforming traditional isolated access to distributed websites on the Internet into centralized access to functionalities of said distributed websites through a social networking and e-commerce website for any account associated with any user on said website, and for transforming unwanted assets of other accounts associated with other users on said social networking and e-commerce website into desirable assets of any account associated with any user. These are revolutionary technologies to: 1) disrupt the traditional isolated access to distributed websites on the Internet; 2) provide one-stop access to multiple external website accounts and consolidated statements and reports associated with a user through said website; and 3) share resources among Internet users, and dramatically increase Internet usage and online purchasing volume so as to create a win-win situation for all parties involved.

Methods, systems and programs are provided for facilitating group and role-based security access mechanism and community funds to effectively protect data privacy, to increase online advertising results, and to significantly increase online traffic and online purchasing volume. These are revolutionary technologies to disrupt the traditional non-group and non-role based logical access of a traditional social networking or e-commerce website, to pool resources, to dramatically increase Internet usage and to create a win-win situation for all parties involved.

A computer implemented method for the automated analysis or use of data is implemented by a voice assistant. The method comprises the steps of:(a) storing in a memory a structured, machine-readable representation of data that conforms to a machine-readable language (machine representation); the machine representation including representations of user speech or text input to a human/machine interface; and (b) automatically processing the machine representations to analyse the user speech or text input.

Discovering relevant concepts and context for content nodes to determine a user's intent includes identifying one or more concept candidates in a content node based at least in part on one or more statistical measures, and matching concepts in a concept association map against text in the content node. The concept association map represents concepts, concept metadata, and relationships between the concepts. The one or more concept candidates are ranked to create a ranked one or more concept candidates based at least in part on a measure of relevance. The ranked one or more concept candidates is expanded according to one or more cost functions. The expanded set of concepts is stored in association with the content node.

There is provided a computer implemented method for translating between a first natural language and a second natural language, comprising the steps of: (a) storing in a non-transitory computer-readable medium a structured, machine-readable representation of data that conforms to a machine-readable language; (b) receiving a word or sequence of words in the first natural language to be translated into the second natural language; (c) automatically translating that word or sequence of words expressed in the first natural language into the second natural language by first translating that word or sequence of words expressed in the first natural language into the machine readable language, and then translating from the machine readable language into the second natural language.