Abstract: Systems and methods to generate a playlist based on content meta data. In one embodiment, a method includes: receiving user-defined parameters; generating a playlist comprising a plurality of content portions, the generating comprising selecting the plurality of content portions from a data repository based on the user-defined parameters and further based on meta data for content stored in the data repository; and providing the playlist for display on a user device.

Abstract: A result for a task may be provided in response to receiving a request from, for example, a user for the result. The request specifies a desired accuracy level for the result. The accuracy of the result is determined using the individual accuracies of one or more persons that have selected the result. Each person's individual accuracy is determined based on results for prior tasks previously performed by that person. The person's individual accuracy is proportional to the number of that person's prior results that are with a consensus of other persons that have performed the same prior task. The result is provided if the accuracy of the result is equal to or greater than the desired accuracy level.

Abstract: Provided are systems, methods, and machine-readable storage media for presenting animations overlying multimedia files in accordance with the present disclosure. Embodiments are described for linking an animation to a multimedia file and presenting the animation overlying a concurrent playback of the multimedia file (e.g., its content). Embodiments are described for including additional elements to the presentation of the animation outside of the playback of the animation, including residual elements that relate to the content of the animation and/or allow a user to receive further information about the content of the animation. Embodiments are described for linking an animation to more than one multimedia file.

Abstract: A system and method for selecting a title for content to be published online. A plurality of text strings are received. A plurality of rules are applied to the text strings. If a condition specified in one of the rules exists in a given text string, one or more attributes are associated to that text string as metadata. One or more of the text strings are selected, using the metadata, as a potential title for the content. A final title is prepared based on the potential title, and the content is published online under the final title.

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: Systems and methods to generate a playlist based on content meta data. In one embodiment, a method includes: receiving user-defined parameters; generating a playlist comprising a plurality of content portions, the generating comprising selecting the plurality of content portions from a data repository based on the user-defined parameters and further based on meta data for content stored in the data repository; and providing the playlist for display on a user device.

Abstract: In one embodiment, at least one information handling system receives an excerpt of information. In response to the excerpt, the information handling system performs at least one of the following operations: in an XML format, automatically storing the excerpt in a folder that is preselected by a first user, wherein the folder is accessible by one or more second users specified by the first user; and, in the XML format, automatically outputting the excerpt to one or more second users preselected by the first user.

Abstract: Embodiments of the present disclosure help content providers maximize the profitability of the online content they produce by providing an accurate, inexpensive, and timely quantitative estimate of the revenue the content is likely to generate. Various embodiments can refine estimates based on real-time or near-real-time data in conjunction with historical pricing data, thereby further improving the accuracy of the revenue predictions. A computer-implemented method according to one embodiment of the present disclosure comprises receiving, by a computer system, information regarding a topic; identifying, by the computer system, a format for content associated with the topic; and determining a score indicative of predicted revenue generated from future content in the identified format associated with the topic, wherein determining the score is based on a revenue model under which revenue from the future content would be generated.

Abstract: Embodiments of the present disclosure help content providers identify popular topics based on Internet search data, as well as to quantify the popularity of content addressing those topics. A computer-implemented method according to one embodiment of the present disclosure comprises receiving search data by a computer system; identifying a category related to at least a portion of the search data; determining, by the computer system and based on the search data, a topic for content associated with the identified category; and determining, by the computer system, a score indicative of a level of popularity for the topic, wherein determining the score is based on the search data and on one or more formats for the content associated with the topic.

Abstract: Methods and systems for dynamically bundling portions into secured destination files are provided. Example embodiments provide a Dynamic Digital Rights Bundling System (“DDRBS”), which dynamically bundles a set of portions each variously containing digital rights management components, user interface controls, and content, into a secured destination file in response to a designated content request. In one embodiment, the DDRBS comprises a bundling engine, a translation engine, a merging engine, and an assortment of data repositories. These components cooperate to dynamically assemble and provide customized secured destination files comprising the requested content together with specialized user interface and digital rights management controls. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.

Abstract: Systems, methods and machine-readable mediums to identify web page titles for content production are provided. The systems may include a storage device and a processor. The storage device may store a plurality of titles, each title is associated with a respective one of a plurality of web pages. The processor may be programmed to select a title from the plurality of titles and determine a value for the selected title. The value may be based on the number of times that the selected title appears in the plurality of titles, and on the number of web pages that link to the selected title. If the value is greater than a first threshold level, the processor may be programmed to identify the selected title for online publication.

Abstract: In one embodiment, a system and method is provided to browse and analyze files comprising text strings tagged with metadata. The system and method comprise various functions including browsing the metadata tags in the file, browsing the text strings, selecting subsets of the text strings by including or excluding strings tagged with specific metadata tags, selecting text strings by matching patterns of words and/or parts of speech in the text string and matching selected text strings to a database to identify similar text string. The system and method further provide functions to generate suggested text selection rules by analyzing a selected subset of a plurality of text strings.

Abstract: A system and method are directed towards identifying advertisement keywords within a variety of content types, identifying similarity rankings of advertisements based on the keywords, and to the guiding of keyword purchases. In one embodiment, a search is performed based in part on defined selection criteria, and/or scheduling rules. Content that may include advertisements is processed to identify advertisement keywords. A similarity ranking of different advertisements based on keywords therein may be determined. The similarity rankings may be used, with keyword pricing data, to identify instances of keyword arbitrage, guide purchase of keywords, and to control traffic flow to and from advertisements to obtain a benefit from price differentials between what one keyword seller charges for a keyword and what a click buyer will, pay for traffic directed to advertisements with the same or related keyword.

Abstract: Systems and methods for presentation of content, or a title or link to content or presentation to a user on webpages of a website are provided. In one embodiment, a recommended content platform optimizes the links displayed on web pages based on a portfolio of content sources which determine which links are displayed in a given page view. The algorithms may or may not utilize data relating to user interaction with webpages and may produce different sets of links depending on the content of a webpage and a position on a webpage where the links are to be displayed. A given webpage may present links from multiple content sources displayed using multiple user interface elements distributed throughout the webpage.

Abstract: A system and method for determining suggested content and suggested content headlines for a web page. The system and method receive a request for suggested content for a web page, determine that suggested content is appropriate for the web page based on tags for the web page and tags for a suggested content headline associated with the suggested content, apply a rule to the tags of the suggested content headline, the rule based on one or more of time and location metadata, and transmit the suggested content headline for display with the web page if the rule has been satisfied.

Abstract: Systems and methods are provided the for presentation of links to content to a user on webpages of a website where titles associated with the links are tuned to the user's psychographic variables. In one embodiment, a respective plurality of titles is generated for each of a plurality of content items. At least some titles are tagged with psychographic tags. When a user accesses content by selecting a link having a title that is tagged with one or more psychographic tags, the system stores a representation of such tags in association with the user. When additional links for recommended content are displayed to the user, the system selects titles for links to such content based on psychographic tags associated with the user and the titles.

Abstract: A result for a task may be provided in response to receiving a request from, for example, a user for the result. The request specifies a desired accuracy level for the result. The accuracy of the result is determined using the individual accuracies of one or more persons that have selected the result. Each person's individual accuracy is determined based on results for prior tasks previously performed by that person. The person's individual accuracy is proportional to the number of that person's prior results that are with a consensus of other persons that have performed the same prior task. The result is provided if the accuracy of the result is equal to or greater than the desired accuracy level.

Abstract: A result for a task may be provided in response to receiving a request from, for example, a user for the result. The request specifies a desired accuracy level for the result. The accuracy of the result is determined using the individual accuracies of one or more persons that have selected the result. Each person's individual accuracy is determined based on results for prior tasks previously performed by that person. The person's individual accuracy is proportional to the number of that person's prior results that are with a consensus of other persons that have performed the same prior task. The result is provided if the accuracy of the result is equal to or greater than the desired accuracy level.

Abstract: A system and method are directed towards identifying advertisement keywords within a variety of content types, identifying similarity rankings of advertisements based on the keywords, and to the guiding of keyword purchases. In one embodiment, a search is performed based in part on defined selection criteria, and/or scheduling rules. Content that may include advertisements is processed to identify advertisement keywords. A similarity ranking of different advertisements based on keywords therein may be determined. The similarity rankings may be used, with keyword pricing data, to identify instances of keyword arbitrage, guide purchase of keywords, and to control traffic flow to and from advertisements to obtain a benefit from price differentials between what one keyword seller charges for a keyword and what a click buyer will, pay for traffic directed to advertisements with the same or related keyword.

Abstract: A computing device receives, over a network, information regarding word phrases (e.g., search terms) and determines longevity values associated with content built around the word phrases. The computing device selects, based on the longevity values, a first phrase from the word phrases. Content is built or created around the first phrase, and the built or created content is presented or published over a network such as the Internet.