Aol Inc.

America Online, Inc.

Fiver LLC

Theodore Diamond

Eric Carl Rehm

Melissa Anne Riesland

Daniel Allen Hendrick

Krzysztof Koperski

Jisheng Liang

Jennifer Lynn Kolar

Austin David Dahl

Jennifer Cooper

Techniques for category-based content recommendation are described. Some embodiments provide a content recommendation system ('CRS') configured to recommend content items (e.g., Web pages, images, videos) that are related to specified categories. In one embodiment, the CRS processes content items to determine entities referenced by the content items, and to determine categories related to the referenced entities. The determined entities and/or categories may be part of a taxonomy that is stored by the CRS. Then, in response to a received request that indicates a category, the CRS determines and provides indications of one or more content items that each have a corresponding category that matches the indicated category. In some embodiments, at least some of these techniques are employed to implement a category-based news service.

Category-based content recommendation

A software and/or hardware facility is described that enables searches for transient multimedia resources that are contained in real-time multimedia streams. Because real-time data streams are not archived for subsequent access, transient resources contained in the streams are preferably quickly identified, characterized in a database, and indexed so that the facility can locate transient resources that are responsive to search queries. Stream listeners are disclosed that are configured to monitor data streams and identify transient resources within the streams based on associated metadata. Various techniques are disclosed to optimize the operation of the stream listeners. In response to a search query, search results are generated by the facility that include transient multimedia resources that are accessible via a network at the time that the search query is received.

Searching for transient streaming multimedia resources

A method and system for ranking relevancy of metadata associated with media on a computer network, such as multimedia and streaming media, include categorizing the metadata into sets of metadata. The categories are broad categories relating to areas such as who, what, when, and where, such as artist, media type, and creation date, creation location. Weights are assigned to each set of metadata. Weights are related to technical information such as bit rate, duration, sampling rate, frequency of occurrence of a specific term, etc. A score is calculated for ranking the relevancy of each set of metadata. The score is calculated in accordance with the assigned weight and category. This score is available for search systems (e.g., search engines) and/or users to determine the relative ranking of search results.

Full-text relevancy ranking

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Seattle, WA, United States of America

Theodore Diamond