Abstract: Various embodiments include systems, methods, and non-transitory computer-readable media for identifying and matching influencers with categorized products using multimodal machine learning technologies. Consistent with these embodiments, a method includes identifying an influencer based on a set of criteria; determining a first attribute of the influencer based on context data associated with the influencer; identifying a second attribute of an item; generating a first vector that represents the first attribute of the influencer and a second vector that represents the second attribute of the item; generating a similarity score that represents a degree of similarity between the influencer and the item based on the first vector and the second vector; and causing display of the similarity score in a user interface of a device.

Abstract: A method for repairing a fine line is provided. Nano metal particles are filled in a defect of a circuit board. The nano metal particles in the defect are irradiated by a laser, or heated, such that the nano metal particles in the defect are metallurgically bonded to an original line of the circuit board. A surface of the circuit board is cleaned to remove residual nano metal particles on parts of the circuit board where metallurgical bonding is not performed, thereby completing line repairing of the circuit board.

Abstract: A method for repairing a fine line is provided. Nano metal particles are filled in a defect of a circuit board. The nano metal particles in the defect are irradiated by a laser, or heated, such that the nano metal particles in the defect are metallurgically bonded to an original line of the circuit board. A surface of the circuit board is cleaned to remove residual nano metal particles on parts of the circuit board where metallurgical bonding is not performed, thereby completing line repairing of the circuit board.