International Business Machines Corporation

Carlo Sessa S.p.a.

Valentina Sessa

Francesco Lupini

Pia Toro

Fabio D'Alfonso

Agostino Sturaro

Andrea Fratter

Carlo Sessa

A computer system processes reviews to generate personalized recommendations based on a user's preferences. User preferences relating to a subject category are received. A query is processed to retrieve one or more reviews for a plurality of subjects of the subject category, wherein each review is associated with a review score. Each review score of the one or more reviews for each subject is adjusted based on user preferences for a corresponding subject category and a subject score is calculated based on the adjusted review scores for each subject. A ranked list of subjects is generated according to the subject score of each subject. Embodiments of the present invention further include a method and program product for processing reviews to generate personalized recommendations based on a user's preferences in substantially the same manner described above.

Preference-based re-evaluation and personalization of reviewed subjects

A method () for detecting excessive use of a data processing system, such as a computer or a video game, is disclosed. In a first embodiment of the invention, the method estimates () the length of a period of continuous use of the system, typically a computer. When the estimated period reaches a pre-set threshold value, a warning is provided to the user (), in order to discourage he or she from looking at the monitor. In a different embodiment of the invention, the system (typically a video game) is disabled when its usage during the current day reaches a further pre-set threshold value. In this way, parents may limit the daily usage of video games by their children.

Method and system for detecting excessive use of a data processing system

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Rome, Italy

Valentina Sessa