Avalara, Inc.

Indix Corporation

Microsoft Technology Licensing, LLC

Sanjay Parthasarathy

Satyanarayana Rao Kalikivayi

Praveen Selvam

Rajesh Muppalla

Jeff D Sandquist

Mohammed J Zahoor

Grace G Francisco

David D Shadle

Systems and methods for a user interface to summarize and personalize a large amount of price and product information, to identify patterns therein, and to generate recommendations in relation thereto are described herein.

Summarization and personalization of big data method and apparatus

One or more non-transitory computer-readable storage media are presented. In embodiments, the one or media may comprise a plurality of instructions that in response to being executed cause a computer to: receive, via a user interface, a user selection including a product, and a brand, vendor and category associated with the product; access a set of product information that includes information regarding the selected product, the set of product information including a set of products, and for each product in the set: a price, one or more brands under which the product is sold, a set of vendors offering it for sale, a categorization schema and a set of analysis results; and display to the user, via the user interface, a first analysis result from the set of analysis results for the selected product.

Price and product attributes from webpages are imported, indexed, analyzed, and made available to be searched in close-to realtime, allowing search for price changes specific to products on individual webpages and for products across all webpages as well as to identify longitudinal correlations between price changes and product attributes. Users may search the data and set alerts.

Data refining engine for high performance analysis system and method

Content is obtained from a webpage accessed via a URI, which URI is obtained from a URI queue. The content is parsed for price and product information according to a parse map, with the resulting parse result being stored. The priority of URIs in the URI queue is adjusted based on analysis of the parse result for changes in price and product attributes and according to other criteria. The parse map may be one associated with the URI or a general purpose parse maps. The parse result may be validated by human- and machine-based systems, including by graphically labeling price and product information in the content for human confirmation or correction.

Adaptive gathering of structured and unstructured data system and method

Aspects of the subject matter described herein relate to annotating and sharing content. In aspects, an annotation tool presents a user interface that allows a user to enter and view annotations associated with content such as a video. The annotation tool allows the user to associate each annotation with a particular time segment of the video such that when that time segment is played in a video player, its associated annotation is presented. The annotation tool also presents a user interface that allows the user to share the video as annotated with other users as desired. Other users receiving the annotated video may further annotate the video and share it with others.

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Bellevue, WA, United States of America

Sanjay Parthasarathy