Abstract: Disclosed is a service quality prediction method in a service network environment. The method includes the steps of (1) constructing a service uncertainty quality model of a user through service quality log information generated when the user invokes the same or different services multiple times; (2) tapping a set of similar users of a target user based on the service uncertainty quality model of the user; and (3) improving a matrix factorization algorithm based on similarity information of the set of similar users of the target user to achieve accurate prediction of service quality. The service quality prediction method of the present invention can provide a basis for decision-making, perform targeted service optimization based on the service quality information, and provide more accurate service recommendation.

Abstract: A WLAN system resource indication method and apparatus are provided. The method includes: generating, by an access point, a frame that carries resource indication information; and sending, to multiple stations, the frame that carries the resource indication information. The resource indication information includes multiple pieces of sub resource indication information. Correspondingly, each piece of the sub resource indication information uniquely corresponds to one of the multiple stations. Therefore, a station side does not need read the entire resource indication information, so as to reduce resource overheads and improve efficiency.

Abstract: Embodiments of the present invention relate to the field of wireless communication, and in particular, to a wireless local area network data transmission method and apparatus, which are used for improving data transmission efficiency. The method of the embodiments of the present invention includes: carrying, by a control domain of a PLCP header domain in a PPDU constructed by an AP, identifier information of the AP, duration information, and an identifier of at least one STA, so that a STA may obtain the identifier information of the AP, the duration information, and the identifier of at least one STA by parsing only the control domain of the PLCP header domain.

Abstract: Disclosed is a service quality prediction method in a service network environment. The method includes the steps of (1) constructing a service uncertainty quality model of a user through service quality log information generated when the user invokes the same or different services multiple times; (2) tapping a set of similar users of a target user based on the service uncertainty quality model of the user; and (3) improving a matrix factorization algorithm based on similarity information of the set of similar users of the target user to achieve accurate prediction of service quality. The service quality prediction method of the present invention can provide a basis for decision-making, perform targeted service optimization based on the service quality information, and provide more accurate service recommendation.