Abstract:
Architecture that facilitates online advertising taking on characteristics of a commodities market approach to purchasing advertising space, options for ad space and a futures market for online ad space. Available advertising space is identified and aggregated, and subsets of the aggregated ad space are offered for purchase using a commodities market-based approach. The architecture facilitates revenue-sharing paradigms, coupon delivery, targeted advertising, point-of-sale transactions, inventory control, just-in-time delivery of ads, content and product/services, value-based advertising models, etc. The architecture comprises an aggregation component that aggregates advertisement space information associated with online advertisements, and a transaction component that facilitates transacting subsets of the aggregated advertisement space information to bidders as a function of supply and demand. The aggregation component receives information about online advertising space that is now available, that will become available in the future, and that is predicted by prediction analysis to become available in the future. Advertisements and/or ad space can be specified based on dynamic sensing of contextual cues.
Abstract:
Architecture is provided that facilitates user-controlled access to user profile information. A user is allowed to selectively expose (or mask) portions of his/her profile to third parties. Additionally, advertisers and/or content providers can offer incentives or enticement in response to the acceptance of which a user exposes larger portions of their profile. The architecture comprises a system that facilitates profile management utilizing a profile component that facilitates creation and storage of an electronic profile of a user, and a control component under control of the user for controlling access to the profile. Machine learning and reasoning is provided to make inferences and automate aspects thereof.
Abstract:
A system and methodology is provided for filtering temporal streams of information such as news stories by statistical measures of information novelty. Various techniques can be applied to custom tailor news feeds or other types of information based on information that a user has already reviewed. Methods for analyzing information novelty are provided along with a system that personalizes and filters information for users by identifying the novelty of stories in the context of stories they have already reviewed. The system employs novelty-analysis algorithms that represent articles as a bag of words and named entities. The algorithms analyze inter- and intra-document dynamics by considering how information evolves over time from article to article, as well as within individual articles.
Abstract:
An information retrieval system, including a learning and real-time classification methodology, is provided in accordance with the present invention. The system includes a hierarchal analysis component that receives a query and processes probabilities associated with N categories, each category having one or more topics, wherein N is an integer. An interactive component drives clarification dialog that is derived from the query and the probabilities associated with the N categories and the one or more topics. The clarification dialog, driven by a rule-based policy, a decision-theoretic analysis considering the costs of dialog to focus the results versus the costs of browsing larger lists, or combinations of rules and decision-theoretic analysis is employed when valuable to determine at least one category of the N categories to facilitate retrieval of at least one of the topics.
Abstract:
Web page change may be related to revisitation patterns to support web interaction. In an example embodiment, a method involves analyzing change and revisitation data for a web page, determining a relationship between the data, inferring consumption intent by a user for the web page, and utilizing the inferred consumption intent. More specifically, change data is analyzed to produce a change characterization, with the change data reflecting differences between content of a web page at different times. Revisitation data is analyzed to produce a revisitation characterization, with the revisitation data including visit times to the web page by a user. A relationship is determined between the change and the revisitation data based on the change and the revisitation characterizations. Consumption intent of the user for the content of the web page is inferred responsive to the relationship. The inferred consumption intent is utilized to support interaction with the web page.
Abstract:
Personalized navigation for one or more individuals' use of a search engine is provided. Identification of a query submitted to the search engine is performed. If the query is identified to be a personal navigational query, which is a query via which the individuals intend to navigate to a particular site or information object that they have previously viewed, the particular site or information object associated with the query is identified, and results of the search are personalized based on knowledge of the identified site or information object.
Abstract:
Personalization is enabled in a privacy-conscious manner. User interest information can be determined as a function of user behavior with respect interaction with content, for example. Such private information can subsequently be disseminated in a controlled fashion based on permission of the user to which the information pertains. Additionally, core functionality can be supplemented by third-party extensions allowed by a user.
Abstract:
Concepts and technologies are described herein for authority ranking for real time and social search. An authority index configured to store data relating to sources is generated. Data relating to the sources, including an authority value, are generated and stored at the authority index. The authority value may be defined as a function of source, topic, and point of view (“POV”), as well as other data, if desired, and may be determined based upon one or more ranking functions. The ranking functions are determined, and data corresponding to the ranking functions is obtained. Each of the ranking functions may be weighted according to a weighting function, a confidence value or interval, one or more time functions, and/or other methods. The obtained authority value may be used for affecting ranking of search results or for other purposes.
Abstract:
Among other things, one or more techniques and systems are disclosed for saving and retrieving browser-based content or portions thereof for browser-based interactions. Metadata is generated for a selection of a portion or an entire browser page, when a user selects content for the page. The selected content, comprising at least a portion of the browser page, is stored in a database in a remote data store, where the database is indexed by the associated metadata. The selection is presented in a multi-level representation in a user interface (UI) by using the associated metadata to organize the selection(s) in the UI.
Abstract:
Concepts and technologies are described herein for providing context-based services. In one embodiment, context-based output is provided. The context-based output can include context-based search results for a query. Contextual information can be used to improve access to real-time, social, and other content by enabling a search engine to better understand and/or to supplement queries based upon the context within which the query is received. The contextual information can include, but are not limited to, searches and content associated with the searcher, one or more locations associated with the searcher, the time of day at which a query is received, the device from which a query is received, an application running at the device from which the query is received, the capabilities of the device from which the query is received, and other variables. The contextual information can be used to manipulate the search query, the search results, the presentation of the search results, and/or the content surrounding the search results such as, for example, advertising, links, graphics, and other content.