International Business Machines Corporation

Agostino Sturaro

Stefano Sidoti

Alice Guidotti

Leonardo Rosati

Francesco Lupini

Elia Tufarolo

Fabio D'Alfonso

Valentina 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 tool for distress management. The tool determines a level of distress associated with a user. The tool identifies a next action to be performed by the user. The tool determines a level of distress associated with the next action. The tool determines whether the associated level of distress exceeds a predetermined threshold. Responsive to a determination that the associated level of distress exceeds the predetermined threshold, the tool alerts the user of an impact to the level of distress associated with the user.

Detecting non-evident contributing values

Recommending corrective action during aerial application is provided. An unmanned aerial vehicle is navigated to a geolocation where an aerial application task is currently carried out. First sensor data is received from the unmanned aerial vehicle that characterize a quality of the aerial application task. Measures to be carried out to increase the quality of the aerial application task are determined based on the first sensor data. The measures are outputted while the aerial application task is ongoing so that the aerial application task can be adapted while the aerial application task occurs.

Monitoring aerial application tasks and recommending corrective actions

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Cona, Italy

Agostino Sturaro