Abstract: A data processing method, an object processing method, a recommendation method, and a computing device are provided. At least one user feature of sample user(s) is determined. First category identifier(s) corresponding to sample object(s) matching the sample user(s) is/are determined. A recognition model is trained using at least one user feature of the sample user(s) and the first category identifier(s), wherein the recognition model is used to determine at least one second category identifier matching a target user based on at least one user feature of the target user, the at least one second category identifier is used to construct a recall candidate set corresponding to the target user, the recall candidate set includes at least one object hit by the at least one second category identifier, and is used for determining at least one target object for performing a recommendation operation to the target user.

Abstract: A method of arrangement of a leaky coaxial cable combination structures, comprising: providing at least two leakage coaxial cables, each of the at least two leakage coaxial cables has a narrow body; and providing a jumper wire mechanism between at least two leakage coaxial cables; wherein the jumper wire mechanism has two ends, and the two ends are respectively connected to one end of each of the at least two leakage coaxial cables.

Abstract: A method for arrangement of leaky coaxial cables applied to a strip-shaped elongated area, includes: reducing a quantitative radiation performance of initial ends of the leaky coaxial cable combination structures of two areas symmetrically arranged with respect to a central area in a length direction of the strip-shaped elongated area to ensure a small transmission loss, on the premise of ensuring that a comprehensive loss of a link tail end of the leaky coaxial cable is constant; and reducing an appropriate transmission loss of tail ends of the leaky coaxial cable combination structures of the two areas at the central area to increase the radiation performance.