Abstract: A prescription management system and method are provided. The prescription management system: (a) calculates at least one insurance fee and an out-of-pocket fee of a prescription based on at least one medicine name and a medicine price database, (b) calculates an expiration date of the prescription according to a prescription date and an allowed number of days, (c) records an identity code of the prescription, the prescription date, a user identity, the at least one medicine name, the expiration date, the at least one insurance fee, and the out-of-pocket fee of the prescription into a historical prescription ledger, and (d) records a prescription filled date, the identity code of the prescription, at least one filled medicine name, the at least one insurance fee, and the out-of-pocket fee into an insurance payment ledger.

Abstract: A location based community integration matchmaking system, method and computer readable recording media for optimizing sales is provided, including: obtaining user behavior pattern in an inquired area range based on stores information and user behavioral sequential information; calculating a location based community influence degree of each user in the inquired area range toward other location based users in a community based on the user behavior pattern, the community association and behavioral information, and calculating an interest domain influence degree of each user toward each interest domain; obtaining influence diffusing degree of each user toward each interest domain based on the location based community influence and the interest domain influence degree of each user; and finding a range with large influence degree in the inquired area range for performing advertisement setting, thereby achieving optimization analysis and visitor maximization of marketing channel of brick and mortar stores in the ar

Abstract: A method of predicting a social article influence includes following steps: a) analyzing an issue on the social article to classify the social article into a content domain; b) calculating a term weight to obtain a basic influence; c) collecting an author's at least one author's historical article, calculating a first influence average value, and subtracting the first influence average value and a first reference influence average value to obtain an author's general influence correction amount; d) selecting the author's at least one author-domain historical article in the content domain, calculating a second influence average value, and subtracting the second influence average value and a second reference influence average value to obtain an author's domain influence correction amount; and e) calculating the prediction influence, the author's general influence correction amount, and the author's domain influence correction amount.

Abstract: An electronic calculating apparatus, a method and a non-transitory machine-readable medium are provided. The electronic calculating apparatus includes an input/output (I/O) interface, a knowledge tree database and a processor. The I/O interface receives first data of a user, wherein the first data is comprised of a natural language character string. The knowledge tree database stores a context knowledge tree. The processor receives the first data of the user via the I/O interface, analyzes the first data and generates context characteristic information, and substitutes the context characteristic information into the context knowledge tree to generate first context recommend information. The processor then enables a display apparatus to display the first context recommend information.

Abstract: An electronic computing device, a personalized information providing method thereof, and a non-transitory machine-readable medium thereof are provided. The electronic computing device establishes a first and a second tree structure data according to a first data of a first user and a second data of a second user arranged in a period respectively by using an ontology construction algorithm, and calculates a similarity between the first and the second tree structure data by using a similarity evaluating algorithm, and then analyzes the similarity to subsume the first and the second tree structure data into a group by using a clustering algorithm. The electronic computing device determines difference between the first and the second tree structure data according to the group and generates recommending information corresponding to the first user which is arranged in the period according to the difference, and then enables a monitor to display the recommending information.

Abstract: A merchandise recommendation method for multiple users used in a merchandise recommendation system including a user database, a merchandise database, a data transmission module, a processing module and a memory is provided. The merchandise recommendation method includes the steps outlined below. The processing module receives participant information and target merchandise information from a remote originator host. The processing module retrieves corresponding user information from the user database according to the participant information. The processing module retrieves corresponding merchandise information from the merchandise database according to the target merchandise information. The processing module analyzes social influence information and preference information included in the user information and analyzes the merchandise information to generate an analysis result. The processing module generates composite merchandise recommendation information according to the analysis result.

Abstract: An itinerary generation apparatus, method, and non-transitory computer readable storage medium thereof are provided. The itinerary generation apparatus includes a storage unit, an interface, and a processing unit, wherein the processing unit is electrically connected to the storage unit and the interface. The storage unit is stored with a piece of information related to a place. The interface is configured to receive a plurality of images, wherein each of the images has a shoot time. The processing unit determines that a portion of the images corresponds to the place according to a piece of schedule information. The processing unit retrieves the piece of information related to the place from the storage unit after determining that the portion corresponds to the place.

Abstract: An electronic computing device, a personalized information providing method thereof, and a non-transitory machine-readable medium thereof are provided. The electronic computing device establishes a first and a second tree structure data according to a first data of a first user and a second data of a second user arranged in a period respectively by using an ontology construction algorithm, and calculates a similarity between the first and the second tree structure data by using a similarity evaluating algorithm, and then analyzes the similarity to subsume the first and the second tree structure data into a group by using a clustering algorithm. The electronic computing device determines difference between the first and the second tree structure data according to the group and generates recommending information corresponding to the first user which is arranged in the period according to the difference, and then enables a monitor to display the recommending information.