Abstract: A data acquisition device is accessible to correspondence information that defines correspondence between an attribute keyword indicating an attribute and a non-attribute keyword that does not indicate the attribute, and is configured to execute: specifying the attribute keyword corresponding to the non-attribute keyword when the search keyword is the non-attribute keyword with respect to each of a plurality of search keywords; assigning the search keyword to a character string in a retrieval target document corresponding to the search keyword; extracting a specific table assigned with the annotation from one or more tables; selecting at least one of a specific row and a specific column relevant to each of the plurality of search keywords from rows and columns that constitute the specific table extracted on the basis of the annotation; and acquiring a cell in the specific table specified by a first selection result.

Abstract: A data acquisition device is accessible to correspondence information that defines correspondence between an attribute keyword indicating an attribute and a non-attribute keyword that does not indicate the attribute, and is configured to execute: specifying the attribute keyword corresponding to the non-attribute keyword when the search keyword is the non-attribute keyword with respect to each of a plurality of search keywords; assigning the search keyword to a character string in a retrieval target document corresponding to the search keyword; extracting a specific table assigned with the annotation from one or more tables; selecting at least one of a specific row and a specific column relevant to each of the plurality of search keywords from rows and columns that constitute the specific table extracted on the basis of the annotation; and acquiring a cell in the specific table specified by a first selection result.

Abstract: There is provided a movie recommendation system, including: a scene metadata obtaining module for obtaining metadata which contains keywords associated with scenes, and time axis information indicating times at which the keywords appear, the scenes included in a movie content; a movie content information obtaining module for obtaining information of a movie content to be reproduced by a user; a contents preference information obtaining module for obtaining contents preference information, which is generated by assigning preference of the user to the keywords that are contained in the obtained metadata, based on the obtained information of the movie content; and a scene recommendation module for outputting at least one keyword preferred by the user from among the keywords contained in the movie content, based on the obtained contents preference information, in association with a scene recommended to the user.

Abstract: Provided is a program recommendation method for a computer system including: a program distribution server in which program information is stored, a schedule storing unit for storing a schedule of a user, and a program recommendation unit for recommending programs from the program information, comprising the steps of: recommending, in case of which a schedule to be an object of program recommendation is stored in the schedule storing unit, at least a program from the program information stored in the program distribution server based on the stored schedule; searching for a period that is before a start time of the schedule of an object of program recommendation and in which it is possible for the user to watch the programs recommended by the program recommendation unit; and registering a program watching schedule, which is a schedule for watching programs recommended in the searched period, in the schedule storing unit.

Abstract: In a user profiler used for program recommendation, a user profile which differs particularly according to the season is extracted, saved and appropriately re-used. For this purpose, there are provided a user profiler which extracts user profiles based on program information and a user's view history, and a profile memory which incrementally saves the profiles in a time series based on time information acquired from a timer in the user profiles. The profile memory generates and saves total profile information which is obtained by summing the profiles to be saved for predetermined periods. A total profile memory is also provided which saves the total profile information for these periods when a fixed time has elapsed, and the total profile information which was saved by the total profile memory is re-saved by the profile memory at a certain specified time.