Abstract: An auxiliary vehicle mirror device includes a main rod unit, a securing unit and an auxiliary mirror unit. The main rod unit includes a connecting rod, first and second fixture rods connected perpendicularly to opposite ends of the connecting rod and extending respectively in opposite directions, and first and second ball fixtures disposed respectively on the first and second fixture rods. The first ball fixture is engaged with a first socket seat of the securing unit to be freely rotatable relative to it. The second ball fixture is engaged with a second socket seat of the auxiliary mirror unit to be freely rotatable relative to it.

Abstract: An auxiliary vehicle mirror device includes a main rod unit, a securing unit and an auxiliary mirror unit. The main rod unit includes a connecting rod, first and second fixture rods connected perpendicularly to opposite ends of the connecting rod and extending respectively in opposite directions, and first and second ball fixtures disposed respectively on the first and second fixture rods. The first ball fixture is engaged with a first socket seat of the securing unit to be freely rotatable relative to it. The second ball fixture is engaged with a second socket seat of the auxiliary mirror unit to be freely rotatable relative to it.

Abstract: A method for matching cross-area products includes steps as follows. First and second local product lists are matched through text similarity and graph similarity, and a corresponding relation of the matched first and second products is built. A first difference of topic probability vector of the first and second products and a second difference of topic probability vector of third and fourth products are calculated. If the first difference of topic probability vector is similar to the second difference of topic probability vector, the third and fourth products that are failed to be matched are built a corresponding relation. A cross-area product list of the first and second local product lists is generated. First and second local electronic commerce product lists are added in the first and second local area lists. The first and second local area lists corresponding to the cross-area product list are displayed on a displaying device.

Abstract: Embodiments disclosed relate to a computer device and a method for predicting market demand of commodities. The method includes: creating multiple-sources data for each of a plurality of commodities, wherein each of the all multiple-sources data comes from a plurality data sources; storing the all multiple-sources data; extracting a plurality of features from a corresponding one of the all multiple-sources data for each of the commodities to build a feature matrix for each of the data sources; performing a tensor decomposition process on the feature matrices to produce at least one latent feature matrix; and performing a deep learning process on the at least one latent feature matrix to build a prediction model and predicting market demand of each of the commodities according to the prediction model.

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: 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.