Microsoft Technology Licensing, LLC

Jerin R Schneider

Aaron Michael Butcher

William Joseph Devereux

Olga Veselova

Patrick Evan Little

Daniel John Krenn

Darryl James Brown

Michael H Catbagan

Warren G Stevens

Anatolie Gavriliuc

Seung-Yup Chai

Ken M Sadahiro

Nandini Bhattacharya

Warren C Stevens

Philippe Favre

Kofi S Opoku

John D Malatras

Nicolas A Champagne-Williamson

Kangsan Lee

Methods and systems are provided for managing a GUI of a web browser. When a user interaction with a tab presentation control is detected, a horizontal tab strip having first navigation tab controls for a set of webpages is removed, and a vertical tab strip having second navigation tab controls for the same set of webpages is displayed in a vertical column in the browser. In response to detecting a user hover interaction with the vertical tab strip while the vertical tab strip is in a collapsed state, the vertical tab strip is expanded from the collapsed state to an expanded state. In response to termination of the user hover interaction, the vertical tab strip is collapsed from the expanded state to the collapsed state. The vertical tab strip in the collapsed state occupies a smaller portion of the GUI then the vertical tab strip in the expanded state.

Navigation tab control organization and management for web browsers

Methods, systems, and computer program products are described herein for unsupervised clustering of browser history using web navigational activities. For example, correlation scores are calculated that indicate correlations between web pages indicated in a browsing history of a user. Moreover, the correlation scores are calculated based on web navigational activities determined from the browsing history. In addition, the web pages are clustered into a plurality of clusters based on the correlation scores and the clusters are ranked for relevancy to the user based on a relevancy algorithm. The relevancy algorithm determines a likelihood that a user will access a corresponding web page for each web page of a cluster. A cluster having a greatest ranking is identified and an indication of a web page of the identified cluster as a suggested web page to revisit is provided to a user.

Unsupervised clustering of browser history using web navigational activities

Growing community of inventors

Seattle, WA, United States of America

Jerin R Schneider