公开(公告)号：WO2015176656A1

公开(公告)日：2015-11-26

申请号：PCT/CN2015/079358

申请日：2015-05-20

Applicant: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED

Inventor： CHEN, Rong ,  WEI, Yong ,  LAI, Xiaoping

IPC: G06F17/30

CPC classification number: G06F17/30766 ,  G06F17/30675 ,  G06F17/30876 ,  H04L67/22 ,  H04L67/306

Abstract: A method and an apparatus for recommending music are provided. The method includes : acquiring a historical browsing record of each user account on a network service (101); establishing a browsing sequence of each user account according to the historical browsing record corresponding to each user account (102); mapping the browsing sequence of each user account to a mapping value (103 ); aggregating all user accounts according to the mapping value corresponding to each user account, to obtain at least one user account group (104); and recommending the network service to each user account based on a user account group to which the user account belongs (105). The method improves an accuracy rate of whether a recommended network service satisfies an interest of a user in the network service.

Abstract translation: 提供了一种用于推荐音乐的方法和装置。 该方法包括：获取网络服务（101）上的每个用户帐户的历史浏览记录; 根据对应于每个用户帐户（102）的历史浏览记录，建立每个用户帐户的浏览顺序; 将每个用户帐户的浏览顺序映射到映射值（103）; 根据与每个用户帐户对应的映射值聚合所有用户帐户，以获得至少一个用户帐户组（104）; 并且基于用户帐户所属的用户帐户组向每个用户帐户推荐网络服务（105）。 该方法提高了推荐网络服务是否满足用户在网络服务中的兴趣的准确率。

公开(公告)号：WO2015176652A1

公开(公告)日：2015-11-26

申请号：PCT/CN2015/079311

申请日：2015-05-19

Applicant: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED

Inventor： CHEN, Rong ,  WEI, Yong ,  LAI, Xiaoping

IPC: G06F17/30

CPC classification number: G06N7/005 ,  G06F17/30699 ,  G06Q30/0631 ,  H04L41/50

Abstract: The present disclosure discloses a network service recommendation method and apparatus, which belong to a network data analysis technology. The method includes: retrieving, according to a historical browsing record of a user during use of a network service, a label corresponding to each network service used by the user; determining, according to a preset label-topic correspondence, and by using the label corresponding to each network service used by the user, first n topics corresponding to the user; acquiring, according to a preset topic-network service correspondence, respective corresponding recommended network service lists of the first n topics, the recommended network service list of each topic including at least one network service; and recommending a network service to the user according to the respective corresponding recommended network service lists of the first n topics. By means of the present disclosure, a problem that an accuracy rate of recommending a network service to a single user is reduced because a backend system recommends a network service to a single user according to an interest standard of an entire user group is solved.

Abstract translation: 本公开公开了一种属于网络数据分析技术的网络服务推荐方法和装置。 该方法包括：根据网络服务使用期间的用户的历史浏览记录，检索与用户使用的每个网络服务对应的标签; 根据预设的标签主题对应，并且通过使用与用户使用的每个网络服务相对应的标签，确定与用户相对应的前n个主题; 根据预置的主题 - 网络服务对应，获取前n个主题的各自对应的推荐网络服务列表，包括至少一个网络服务的每个主题的推荐网络服务列表; 并根据前n个主题的各自对应的推荐网络服务列表向用户推荐网络服务。 通过本公开，解决了由于后端系统根据整个用户组的兴趣标准向单个用户推荐网络服务，从而降低了向单个用户推荐网络服务的准确率的问题。