Abstract: A system and method is presented of personalizing the organization of a product set, automating the organizing and displaying of content.

Abstract: A system and method is presented of personalizing the organization of a product set, automating the organizing and displaying of content.

Abstract: A method and system is presented for personalizing an electronic program guide that enables a viewer easily and quickly to access to the subset of information that is personally most relevant.

Abstract: A method and system for rating programs, the method including, receiving a sample of viewing logs from a plurality of set top boxes (STBs), determining, from the sample of viewing logs, at least groups of viewers sharing similar interests, and groups of programs sharing similar audience, computing time dynamics of rating distribution for the groups of viewers and the groups of programs, and incorporating at least one of the following into broadcast metadata the time dynamics of rating distributions of the groups of viewers for each of the groups of programs, rating distributions of the groups of viewers for each of the groups of programs marginalized by time, rating distributions of the groups of viewers for each program marginalized by time, relative sizes of each group of viewers, and a mapping of each program to groups of programs, thereby making the broadcast metadata available to the plurality of STBs for use in computing ratings. Related systems and methods are described.

Abstract: A method and system for rating programs, the method including, receiving a sample of viewing logs from a plurality of set top boxes (STBs), determining, from the sample of viewing logs, at least groups of viewers sharing similar interests, and groups of programs sharing similar audience, computing time dynamics of rating distribution for the groups of viewers and the groups of programs, and incorporating at least one of the following into broadcast metadata: the time dynamics of rating distributions of the groups of viewers for each of the groups of programs, rating distributions of the groups of viewers for each of the groups of programs marginalized by time, rating distributions of the groups of viewers for each program marginalized by time, relative sizes of each group of viewers, and a mapping of each program to groups of programs, thereby making the broadcast metadata available to the plurality of STBs for use in computing ratings. Related systems and methods are described.

Abstract: A system and method of personalizing organization of a product set is described, the method including establishing a first matrix populated by ratings associated with a first plurality of v viewers in a content distribution system and a second plurality of p products each of which is a content item, the first matrix having dimensions v and p, each entry in the first matrix including either an empty entry or a rating indicating viewer interest in a content item, bi-clustering the first matrix, thereby producing a second matrix, the second matrix including a matrix of ratings including a grouping of the viewers according to similarity of products chosen by the viewers and a grouping of the products according to similarity of viewers who viewed the products, associating viewers into groups of viewers based on the viewer grouping in the second matrix, selecting refinement parameters of products, the refinement parameters including a sub-set of a set of metadata parameters associated with the products, for each gr

Abstract: A method and system for rating programs, the method including, receiving a sample of viewing logs from a plurality of set top boxes (STBs), determining, from the sample of viewing logs, at least groups of viewers sharing similar interests, and groups of programs sharing similar audience, computing time dynamics of rating distribution for the groups of viewers and the groups of programs, and incorporating at least one of the following into broadcast metadata the time dynamics of rating distributions of the groups of viewers for each of the groups of programs, rating distributions of the groups of viewers for each of the groups of programs marginalized by time, rating distributions of the groups of viewers for each program marginalized by time, relative sizes of each group of viewers, and a mapping of each program to groups of programs, thereby making the broadcast metadata available to the plurality of STBs for use in computing ratings. Related systems and methods are described.

Abstract: Apparatus for automatic segmentation of non-aligned data sequences comprising structural domains to identify and construct models of the structural domains. The apparatus comprises a soft clustering unit, a refinement unit and an annealing unit. The soft clustering unit iteratively partitions the data sequences and trains variable memory Markov sources, created using a prediction suffix tree data structure, on the data until convergence is reached. The clustering unit also eliminates sources showing low relationships with the data. The refinement unit is connected to the soft clustering unit and splits and perturbs the sources following convergence, to repeat the iterative partitioning at the soft clustering unit, thereby to refine the model.