Abstract: In an item selecting apparatus performing a selection of an item to be recommended for each user, it is performed to calculate, with respect to each usage registration of an item by a user, an elapsed value as a difference between a time point of creating the item or staring providing of the item and a predetermined time point, acquire a usage characteristics of each user based on the elapsed value and calculate a freshness value representing a degree of freshness about each item. Further, using correspondence rules of different characteristics corresponding to the usage characteristics, it is performed to calculate a novelty index by applying the freshness value of each item on the correspondence rule corresponding to the usage characteristics of each user, calculate a priority of the item for each user, based on the novelty index and performing a selection of the item.

Abstract: A usage information storage section is configured to store usage information. An item information storage section is configured to store attribute correspondence information. A relevant attribute selection section is configured to calculate an attribute relevant degree based on the usage information and the attribute correspondence information, select a relevant attribute for each item identifier based on the calculated attribute relevant degree, and create relevant attribute information in which each item identifier and the selected relevant attribute are associated with each other.

Abstract: A use history that at least associates a use subject identifier for identifying a user or a terminal device a user has used with a used item identifier, which is an item identifier for identifying an item used by a user, based on use information is stored in a use history storage section. Based on the use history, a degree of similarity between two item identifiers is calculated and using the degree of similarity, associated data causing a base item identifier, which is an item identifier of a base item, and an associated item identifier, which is an item identifier of an associated item similar to the base item to correspond to each other is created. A change value to change a point value managed for each use subject identifier is calculated.

Abstract: When a bowl 20d discharges waste with flush water after temporarily receiving the waste, before the waste is transported from at least the discharge trap conduit 40 by the flush water supplied from a flush water supply hole 30d as flush water supply means, the flush toilet device CSd drives a siphon pump 505d and then drives a return pump 506d before the supply of the flush water has been completed.

Abstract: In an item selecting apparatus performing a selection of an item to be recommended for each user, it is performed to calculate, with respect to each usage registration of an item by a user, an elapsed value as a difference between a time point of creating the item or staring providing of the item and a predetermined time point, acquire a usage characteristics of each user based on the elapsed value and calculate a freshness value representing a degree of freshness about each item. Further, using correspondence rules of different characteristics corresponding to the usage characteristics, it is performed to calculate a novelty index by applying the freshness value of each item on the correspondence rule corresponding to the usage characteristics of each user (S420), calculate a priority of the item for each user, based on the novelty index (S430) and performing a selection of the item (S440).

Abstract: In an item selecting apparatus performing a selection of an item to be recommended for each user, it is performed to calculate, with respect to each usage registration of an item by a user, an elapsed value as a difference between a time point of creating the item or staring providing of the item and a predetermined time point, acquire a usage characteristics of each user based on the elapsed value and calculate a freshness value representing a degree of freshness about each item. Further, using correspondence rules of different characteristics corresponding to the usage item on the correspondence rule corresponding to the usage characteristics of each user, calculate a priority of the item for each user, based on the novelty index and performing a selection of the item.

Abstract: A usage information storage section is configured to store usage information. An item information storage section is configured to store attribute correspondence information. A relevant attribute selection section is configured to calculate an attribute relevant degree based on the usage information and the attribute correspondence information, select a relevant attribute for each item identifier based on the calculated attribute relevant degree, and create relevant attribute information in which each item identifier and the selected relevant attribute are associated with each other.

Abstract: A use history that at least associates a use subject identifier for identifying a user or a terminal device a user has used with a used item identifier, which is an item identifier for identifying an item used by a user, based on use information is stored in a use history storage section. Based on the use history, a degree of similarity between two item identifiers is calculated and using the degree of similarity, associated data causing a base item identifier, which is an item identifier of a base item, and an associated item identifier, which is an item identifier of an associated item similar to the base item to correspond to each other is created. A change value to change a point value managed for each use subject identifier is calculated.

Abstract: A use history that at least associates a use subject identifier for identifying a user or a terminal device a user has used with a used item identifier, which is an item identifier for identifying an item used by a user, based on use information is stored in a use history storage section. Based on the use history, a degree of similarity between two item identifiers is calculated and using the degree of similarity, associated data causing a base item identifier, which is an item identifier of a base item, and an associated item identifier, which is an item identifier of an associated item similar to the base item to correspond to each other is created. A change value to change a point value managed for each use subject identifier is calculated.

Abstract: A favorite item set making section makes a favorite item set. A first rate calculating section calculates, with respect to a first set of items, a first rate of the number of items satisfying recommended item conditions to the number of all items. A user characteristic value calculating section calculates a user characteristic value by using the first rate. An item selecting section selects, from items in the favorite item set, a plurality of items including items satisfying the recommended item conditions to make a result item set. When the user characteristic value satisfies prescribed conditions, the rate of the number of items in the result item set which satisfy the recommended item conditions to the number of all items in the result item set is greater than the first rate and smaller than 1 except for a case where the first rate is 1.

Abstract: When a bowl 20d discharges waste with flush water after temporarily receiving the waste, before the waste is transported from at least the discharge trap conduit 40 by the flush water supplied from a flush water supply hole 30d as flush water supply means, the flush toilet device CSd drives a siphon pump 505d and then drives a return pump 506d before the supply of the flush water has been completed.

Abstract: In an item selecting apparatus performing a selection of an item to be recommended for each user, it is performed to calculate, with respect to each usage registration of an item by a user, an elapsed value as a difference between a time point of creating the item or staring providing of the item and a predetermined time point, acquire a usage characteristics of each user based on the elapsed value and calculate a freshness value representing a degree of freshness about each item. Further, using correspondence rules of different characteristics corresponding to the usage characteristics, it is performed to calculate a novelty index by applying the freshness value of each item on the correspondence rule corresponding to the usage characteristics of each user (S420), calculate a priority of the item for each user, based on the novelty index (S430) and performing a selection of the item (S440).

Abstract: Identifiers are of items or categories assigned to the respective items. A price influence degree of each of identifiers associated with a base identifier is calculated from price information of the identifier through the use of a price influence function. A selection index of each of the identifiers associated with the base identifier is calculated according to a rule such that the calculated selection index will increase as a degree of association with the base identifier is greater and the calculated price influence degree is greater. Identifiers each great in calculated selection index are preferentially selected from the identifiers associated with the base identifier. Items or categories having identifiers equal to the selected identifiers may be recommended to a user.

Abstract: Scores of respective content information pieces are calculated. The scores are the degrees of conformity between the content information pieces and a narrowing condition, respectively. Appropriate ones are selected from the content information pieces on the basis of the narrowing condition. The appropriate information pieces conform to the narrowing condition. A random number sequence is acquired. The priority degrees of the respective appropriate information pieces are computed from the scores thereof and the acquired random number sequence. Indication ranks of the respective appropriate information pieces are decided on the basis of the computed priority degrees. The appropriate information pieces may be indicated according to the decided indication ranks.

Abstract: A favorite item set making section makes a favorite item set. A first rate calculating section calculates, with respect to a first set of items, a first rate of the number of items satisfying recommended item conditions to the number of all items. A user characteristic value calculating section calculates a user characteristic value by using the first rate. An item selecting section selects, from items in the favorite item set, a plurality of items including items satisfying the recommended item conditions to make a result item set. When the user characteristic value satisfies prescribed conditions, the rate of the number of items in the result item set which satisfy the recommended item conditions to the number of all items in the result item set is greater than the first rate and smaller than 1 except for a case where the first rate is 1.

Abstract: A similar item set making section makes a similar item set corresponding to a target item. With respect to a first set of some or all of items in the similar item set, a first rate calculating section calculates a first rate. An item characteristic value calculating section calculates an item characteristic value by using the first rate. An item selecting section makes, from items in the similar item set, an associated item set corresponding to the target item. Recommended item conditions are for deciding whether or not an item should be recommended. The associated item set is designed so that when the item characteristic value satisfies prescribed item characteristic value conditions, the rate of the number of items satisfying recommended item conditions in the associated item set to the number of all items therein is greater than the first rate and smaller than 1.

Abstract: A use history that at least associates a use subject identifier for identifying a user or a terminal device a user has used with a used item identifier, which is an item identifier for identifying an item used by a user, based on use information is stored in a use history storage section. Based on the use history, a degree of similarity between two item identifiers is calculated and using the degree of similarity, associated data causing a base item identifier, which is an item identifier of a base item, and an associated item identifier, which is an item identifier of an associated item similar to the base item to correspond to each other is created. A change value to change a point value managed for each use subject identifier is calculated.