Abstract: A method for inferring intent and discrepancies in a label coding scheme is described. The method includes compiling data indicating how one or more individuals labeled unstructured content according to the label coding scheme comprising a plurality of labels. The method also includes analyzing a context associated with a content labeled in a particular manner by the one or more individuals. The method further includes detecting discrepancies of meaning for a particular label used by the one or more individuals. The method also includes inferring a strategic thinking of the one or more individuals associated with the discrepancies of meaning detected for the particular label. The method further includes displaying recorded metadata associated with the strategic thinking and the discrepancies of meaning detected for the particular label between the one or more individuals regarding a coded dataset.

Abstract: A method for labeling a data set by a coding model includes generating multiple sets of related initial labels based on processing a data set with a group of initial labels. The method also includes determining a quantity of occurrences, within the data set, of each one of the group of initial labels and each related initial label of the multiple sets of related initial labels. The method further includes determining, for each initial label of the group of initial labels, a breadth score based on the number of occurrences of each related initial label. The method still further includes updating one or more of the group of initial labels based on respective breadth scores satisfying a label updating condition. The method also includes labeling the data set based on the group of initial labels and the multiple sets of related initial labels.

Abstract: Systems and methods for generating predicted preferences are disclosed. The method includes implementing, with a computing device having a processor and a non-transitory computer-readable memory, a conjoint architecture comprising: an autoencoder trained to transform input data including one or more choices and one or more features into a latent representation, and a choice classification network trained to predict one or more predicted preferences from the latent representation extracted by the autoencoder. The method further includes outputting, from the choice classification network, the one or more predicted preferences.

Abstract: A mechanism is described for proximity detection based on Wi-Fi signals. A method of embodiments of the invention includes determining strength of one or more signals being communicated between one or more antennae of a first device and two or more antennae of a second device. The one or more signals are associated with a broadcast packet. The method further includes determining proximity of the first device and the second device based on the determined strength of the one or more signals.

Abstract: A mechanism is described for proximity detection based on Wi-Fi signals. A method of embodiments of the invention includes determining strength of one or more signals being communicated between one or more antennae of a first device and two or more antennae of a second device. The one or more signals are associated with a broadcast packet. The method further includes determining proximity of the first device and the second device based on the determined strength of the one or more signals.

Abstract: A mechanism is described for proximity detection based on Wi-Fi signals. A method of embodiments of the invention includes determining strength of one or more signals being communicated between one or more antennae of a first device and two or more antennae of a second device. The one or more signals are associated with a broadcast packet. The method further includes determining proximity of the first device and the second device based on the determined strength of the one or more signals.

Abstract: A mechanism is described for proximity detection based on Wi-Fi signals. A method of embodiments of the invention includes determining strength of one or more signals being communicated between one or more antennae of a first device and two or more antennae of a second device. The one or more signals are associated with a broadcast packet. The method further includes determining proximity of the first device and the second device based on the determined strength of the one or more signals.