Abstract: Methods, systems, and computer programs are presented for eliminating bias while training an ML model using training data that includes past experimental data. One method includes accessing experiment results, for A/B testing of a first model, that comprise information regarding engagement with a first set of items presented to users, each item being presented within an ordered list of results. A position bias is calculated for positions within the ordered list of results where the items were presented. A machine-learning program is trained to obtain a second model using a training set comprising values for features that include the calculated position bias. The method includes detecting a second set of items to be ranked for presentation to a first user, and calculates, using the second model, a relevance score for the second set of items, which are ranked based on the respective relevance score and presented on a display.

Abstract: Technologies for on-device experimentation include embodiments that receive a request to provide digital content for display in a slot of a user interface display screen of a first device. By a secure execution environment, an identifier received with the request is anonymized. The request is determined to be associated with a content distribution test. The anonymized identifier is assigned to a test group associated with the content distribution test. The secure execution environment receives user interface event data generated by the first device in response to the content distribution test. The received user interface event data is attributed to the test group. An association of the user interface event data with the test group and the content distribution test is provided by the secure execution environment to a second device different than the first device while the identifier and the anonymized identifier are not provided to the second device.

Abstract: Disclosed are reactive dyes and preparation methods thereof. The reactive dye may be prepared using heterocyclic primary amine as a diazo component, 4,4?-diamino-2,2?-stilbenedisulfonic acid, s-triazine, or ethylenediamine as a bridging group, and a dimonochlortriazine group as an active group. The color-changing compound is covalently bonded into the fiber chemical structure by nucleophilic substitution reaction between monochlorotriazine and the hydroxyl group in a textile structure, and the size of the conjugated system and the range of electron delocalization of the dye are changed by a reversible isomerization reaction of the hydroxyl group adjacent to the diazo group and the diazo group under different pH regulations. Moreover, the dye has a double color changing structure, which improves the capability of the dye combined with —H/—OH. The pH value range that can cause color changes in the dye is effectively expanded to include weak alkali, weak acid or even neutral conditions.

Abstract: Technologies for on-device experimentation include embodiments that receive a request to provide digital content for display in a slot of a user interface display screen of a first device. By a secure execution environment, an identifier received with the request is anonymized. The request is determined to be associated with a content distribution test. The anonymized identifier is assigned to a test group associated with the content distribution test. The secure execution environment receives user interface event data generated by the first device in response to the content distribution test. The received user interface event data is attributed to the test group. An association of the user interface event data with the test group and the content distribution test is provided by the secure execution environment to a second device different than the first device while the identifier and the anonymized identifier are not provided to the second device.