Abstract: A data processing method comprises receiving title interaction data, wherein the title interaction data specifies, an order in which users interacted with a plurality of titles; generating a plurality of statistical models, each statistical model of the plurality of statistical models specifying a plurality of probabilities, wherein the plurality of probabilities represent, for each first title of the plurality of titles and each second title of the plurality of titles, a likelihood that a user will interact with the first title then next interact with the second title; refining the plurality of statistical models based on the title interaction data; determining a plurality of weight values corresponding to the plurality of statistical models for a particular user; identifying, for the particular user, one or more recommended titles of the plurality of titles based on the plurality of weight values and the plurality of statistical models.

Abstract: Embodiments provide techniques for presenting a user interface. An initial interface containing a first plurality of selectable elements is presented to a user. Embodiments assign the user to a first one of a plurality of preference groups. A plurality of selections made by the user of selectable elements from the plurality of selectable elements are detected. Embodiments then generate a second interface for the user that includes a second plurality of selectable elements, based on the first preference group to which the user is assigned and the selectable elements selected by the user.

Abstract: In an approach, a method comprises receiving title interaction data, wherein the title interaction data specifies, an order in which users interacted with a plurality of titles; generating a plurality of statistical models, each statistical model of the plurality of statistical models specifying a plurality of probabilities, wherein the plurality of probabilities represent, for each first title of the plurality of titles and each second title of the plurality of titles, a likelihood that a user will interact with the first title then next interact with the second title; refining the plurality of statistical models based on the title interaction data; determining a plurality of weight values corresponding to the plurality of statistical models for a particular user; identifying, for the particular user, one or more recommended titles of the plurality of titles based on the plurality of weight values and the plurality of statistical models.

Abstract: Embodiments provide techniques for presenting a user interface. An initial interface containing a first plurality of selectable elements is presented to a user. Embodiments assign the user to a first one of a plurality of preference groups. A plurality of selections made by the user of selectable elements from the plurality of selectable elements are detected. Embodiments then generate a second interface for the user that includes a second plurality of selectable elements, based on the first preference group to which the user is assigned and the selectable elements selected by the user.