Yahoo! Inc.

Excalibur Ip, LLC

Choon Hui Teo

Nathan Liu

Scott J Gaffney

Jean-Marc Langlois

Kunal Punera

Su-Lin Wu

Suju Rajan

Srinivas Vadrevu

Yookyung Kim

Real-time consumer feedback collection includes: receiving a unique product code from a device associated with a consumer of a product, the unique product code, when decoded, revealing an address of an on-line survey site; providing an interface within the on-line survey site for providing feedback about the product; receiving the feedback; storing the feedback; and supplying the feedback to the producer of the product.

System for collecting customer feedback in real-time

Method, system, and programs for mapping data. Information related to users and their interests is obtained by a first application from a second application. An interest space is determined based on one or more sources of information, each of which provides a plurality of concepts. A data structure is created with respect to the interest space, where the data structure has a plurality of attributes each of the attributes corresponds to a concept in the interest space. One or more interests for each of the users based on information obtained from the second application. Each user interest corresponds to an attribute in the structure. A user profile is generated for each user by mapping the interests of the user to the corresponding attributes in the structure.

Method and system for user profiling via mapping third party interests to a universal interest space

The present teaching relates to discovery of user unknown interests. In one example, information related to a user is retrieved from a user profile. The information indicates one or more known interests of the user. At least one known interest of the user is identified based on the information. One or more supplemental interests with respect to each identified at least one known interest of the user are identified. The one or more supplemental interests do not overlap with the one or more known interests of the user. Supplemental content associated with the one or more supplemental interests are identified. Each piece of content in the supplemental content is ranked. At least one piece of content in the supplemental content is selected based on the ranking. The selected at least one piece of supplemental content is used to discover unknown interest of the user.

Method and system for discovery of user unknown interests based on supplemental content

Disclosed are methods and apparatus for clustering news stories, which are to be presented over a computer network. In general, an incremental clustering system is configured to update a current set of news clusters with newly arrived news articles without having to recompute the clusters for the entire corpus, as well as form new clusters for recently generated news topics. In one embodiment, a plurality of news articles are initially obtained via the computer network, and the news articles are clustered into a plurality of initial clusters. For only news articles, including any unclustered news articles, that are less than a predetermined age limit, it is determined in an incremental clustering process whether to form one or more new clusters or assign to the initial clusters. Indications of the initial clusters and the one or more new clusters, if any, are then stored so as to be accessible for sending a portion of the news articles to users in a clustered format based on the initial clusters and the one or more new clusters, if any.

Growing community of inventors

Sunnyvale, CA, United States of America

Choon Hui Teo