Abstract: A method of recommending an unplayed game application to a user includes obtaining a game history associated with a user profile, wherein the game history includes at least one game record of a game application the user profile has been used to play, and evaluating the game history to obtain a plurality of game events associated with a game application of the game history. The method further includes accessing a table of tags associated with the plurality of game events associated with the game application, aggregating a plurality of tags in a tag list in the user profile based at least partially on the table of tags and the plurality of game events, and presenting to the user a recommendation of an unplayed game application based at least partially on the plurality of tags.

Abstract: A method of recommending an unplayed game application to a user includes obtaining a game history associated with a user profile, wherein the game history includes at least one game record of a game application the user profile has been used to play, and evaluating the game history to obtain a plurality of game events associated with a game application of the game history. The method further includes accessing a table of tags associated with the plurality of game events associated with the game application, aggregating a plurality of tags in a tag list in the user profile based at least partially on the table of tags and the plurality of game events, and presenting to the user a recommendation of an unplayed game application based at least partially on the plurality of tags.

Abstract: The present invention relates to an antibody-drug-conjugate. From one aspect, the invention relates to an anti-body-drug-conjugate comprising an antibody capable of binding to a Target, said antibody being conjugated to at least one drug selected from derivatives of dolastatin 10 and auristatins. The invention also comprises method of treatment and the use of said anti-body-drug-conjugate for the treatment of cancer.

Abstract: The present invention relates to a system (100), a device, a method (200), and a computer program for providing a health advice to a subject. It is proposed to modify a digital coaching advice depending on trends of a physiological observable (e.g., weight, Body Mass Index, etc.). A digital coach varies the wording of his/her advice depending on the risk categorization. It is proposed to analyze physiological measurements for deviation from the mean and rate of change and to translate these basic statistics into a concept of urgency/risk to structurally vary the wording or appearance of a digital coach. Thus, a digital coach as proposed herein may look, act and talk differently depending on the urgency/risk of the users. Coaches may vary in language and appearance from gentle, via hard-but-fair, to “drill sergeant”.

Abstract: A system (50) and method (100) translates quantitative personalized decision content to natural language. Quantitative personalized decision content for a patient is received. The quantitative personalized decision content includes quantitative outcomes of treatment options. Contributing factors for the quantitative outcomes are determined. The treatment options are ranked based on a quantitative measure of the quantitative outcomes. Natural language explanations are presented to the patient describing the most highly ranked treatment option in terms of the contributing factors.

Abstract: A diagnostic tool and method for defining a personal profile for an individual collects work pattern data associated with the individual, correlates the work pattern data with work pattern characteristics of a plurality of predefined work pattern groups, and identifies a personal profile for the individual based on the correlation, the personal profile including the classification of the individual as a member of one of the work pattern groups. Based on the personal profile, a knowledge management solution for the individual may be recommended, inclusive of knowledge products and services.