By collecting data of user behavior in external social communities, analysis on behavior preferences is established including evaluation on Social network Liveliness of User, Variation of Consumption Ability, and Distribution of Life Preference Types. User data of enterprise is integrated to elevate customer information update and mastering of demand variation by enterprise for optimization of marketing strategy.
By collecting data of user behavior in external social communities, analysis on behavior preferences is established including evaluation on Social network Liveliness of User, Variation of Consumption Ability, and Distribution of Life Preference Types. User data of enterprise is integrated to elevate customer information update and mastering of demand variation by enterprise for optimization of marketing strategy.
Under circumstances of all-channel commerce, management complexity is increased due to huge amount of merchandises. This system makes use of more accurate segmentation of customer groups, establishment of associations, and allocation of budgets so as to help businesses master sales tendencies of cross-channel merchandises. And through association analysis on sales of merchandise and optimal combinations of bundle-sale merchandises can be effectively reacted or predicted. Meanwhile, under consideration of cost efficiency conditions, customer demands are combined to help decision making for bundle-sale merchandises so as to efficiency of merchandise selection, bundle sales, and allocation of advertisement and elevate sales revenue as well as overall benefits of shop.
技術現況敘述-英文: Under circumstances of all-channel commerce, management complexity is increased due to huge amount of merchandises. This system makes use of more accurate segmentation of customer groups, establishment of associations, and allocation of budgets so as to help businesses master sales tendencies of cross-channel merchandises. And through association analysis on sales of merchandise and optimal combinations of bundle-sale merchandises can be effectively reacted or predicted. Meanwhile, under consideration of cost efficiency conditions, customer demands are combined to help decision making for bundle-sale merchandises so as to efficiency of merchandise selection, bundle sales, and allocation of advertisement and elevate sales revenue as well as overall benefits of shop.
Cross-channel heterogeneous data can be integrated for the extraction of key characteristics so as to effectively establish multi-dimensional Persona of customers. And according to scenario demands under circumstances, the optimization of optimal marketing recommendation strategy may proceed with integration of products, costs, and channels of supplier ends for the purpose of elevating enterprise's mastering of customer demand variation so as to appropriately reflect adjustment and control of supply-demand match-making and increase conversion ratio of marketing.
技術現況敘述-英文: Cross-channel heterogeneous data can be integrated for the extraction of key characteristics so as to effectively establish multi-dimensional Persona of customers. And according to scenario demands under circumstances, the optimization of optimal marketing recommendation strategy may proceed with integration of products, costs, and channels of supplier ends for the purpose of elevating enterprise's mastering of customer demand variation so as to appropriately reflect adjustment and control of supply-demand match-making and increase conversion ratio of marketing.
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.
技術摘要-英文: 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.
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.
技術摘要-英文: 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.
Through Data Correspondence Technology, product sales information of variant channels can be summarized. And through association analysis on product sales in variant channels, the optimal combinations of bundle-sale merchandises can be effectively reacted or predicted. Then customer demands can be integrated to help proceed with decision making of merchandise bundle-sale strategy. Sales Flexibility and revenue can be elevated accordingly. Then using summary of all-aspect data of feelings & comments from customers in social network media for target products, Emotional Analysis Technology is used to estimate the all-aspect emotional polarity of customer for target products before proceeding with extraction of key tendencies for excerpts of essential comments so as to prospect customer demands and opinions.
技術現況敘述-英文: Through Data Correspondence Technology, product sales information of variant channels can be summarized. And through association analysis on product sales in variant channels, the optimal combinations of bundle-sale merchandises can be effectively reacted or predicted. Then customer demands can be integrated to help proceed with decision making of merchandise bundle-sale strategy. Sales Flexibility and revenue can be elevated accordingly. Then using summary of all-aspect data of feelings & comments from customers in social network media for target products, Emotional Analysis Technology is used to estimate the all-aspect emotional polarity of customer for target products before proceeding with extraction of key tendencies for excerpts of essential comments so as to prospect customer demands and opinions.