WO2015180385A1 - 多媒体资源推荐方法及装置 - Google Patents
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- WO2015180385A1 WO2015180385A1 PCT/CN2014/089247 CN2014089247W WO2015180385A1 WO 2015180385 A1 WO2015180385 A1 WO 2015180385A1 CN 2014089247 W CN2014089247 W CN 2014089247W WO 2015180385 A1 WO2015180385 A1 WO 2015180385A1
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Definitions
- the user preference score of the resource; the user preference score of the similar multimedia resource is obtained by: placing the similar multimedia resource on multiple playback devices of the similar multimedia resource, and on multiple playback devices
- a sensor is installed in the vicinity of the plurality of playing devices, and the user quantity and the user staying time of the plurality of playing devices are counted by the sensor, and the user preference score of the similar multimedia resource is calculated based on the user amount and the user staying time.
- a user preference value is set in advance for the user behavior
- the second user preference score is calculated according to the data collected by the second sensor, and the second sensor is installed on the playback device corresponding to the plurality of recommended multimedia resources or in the vicinity of the playback device.
- a user preference score acquisition module configured to acquire a second user preference score of the plurality of recommended multimedia resources
- a storage module for storing a correspondence between user behavior and user preference values.
- the multimedia resource recommendation module includes:
- the first user preference score of the multimedia resource to be recommended is calculated according to the user behavior data, and then The first user preference score and the second user preference score of the plurality of recommended multimedia resources are recommended for the recommended multimedia resource, and the user preference score of the multimedia resource to be recommended is based on the user behavior corresponding to the multimedia resource to be recommended.
- the data is calculated, and the user behavior data can reflect the user's true preference for the multimedia resource. Therefore, when the recommended multimedia resource is recommended according to the user preference score of the multimedia resource to be recommended and the user preference score of the recommended multimedia resource. The recommended accuracy is higher.
- the second user preference score is calculated according to the data collected by the second sensor, and the second sensor is installed on the playback device corresponding to the plurality of recommended multimedia resources or in the vicinity of the playback device.
- a user's user behavior data may include one or more user behaviors. For example, for a user, when watching the multimedia resource to be recommended, it may laugh and have a big gesture (applause).
- the user preference value is used to characterize the user's preference for the multimedia resource to be recommended.
- the process of establishing a correspondence between the user behavior and the user preference value is further included as follows:
- the user preference value is set in advance for the user behavior; the correspondence between the user behavior and the user preference value is stored.
- the duration of each user behavior may be set according to the playing time ratio of the recommended multimedia resource. For a user behavior, the proportion of the duration of the playback of the multimedia resource to be recommended is larger, and the corresponding weight value is larger. It is assumed that the playing time of the to-be-recommended multimedia resource is 30 seconds, during which a certain user first generates a large gesture action (violent applause), and then talks with others to stop watching the multimedia resource to be recommended, but the continuous gesture action continues. The time is only 5 seconds, which accounts for the multimedia resources to be recommended.
- step 206 a second user preference score of the plurality of recommended multimedia resources is obtained.
- FIG. 3 is a schematic diagram of a multimedia resource recommendation apparatus according to an exemplary embodiment.
- the device includes a user view data acquisition module 301, a user behavior data acquisition module 302, a user preference score calculation module 303, a user preference score acquisition module 304, and a multimedia resource recommendation module 305.
- the user viewing data acquiring module 301 is connected to the user behavior data acquiring module 302, and is configured to acquire user viewing data of the multimedia resource to be recommended in the trial broadcast range, where the user viewing data includes at least user audio and video data and
- the user preference data acquisition module 302 is connected to the user preference score calculation module 303 for analyzing and processing the user viewing data, and obtaining user behavior data corresponding to the multimedia resource to be recommended; the user preference score calculation module
- the 303 is connected to the user preference score acquisition module 304, and is configured to calculate a first user preference score of the multimedia resource to be recommended according to the user behavior data corresponding to the multimedia resource to be recommended; the user preference score acquisition module 304 and the multimedia resource.
- the recommendation module 305 is configured to obtain a second user preference score of the plurality of recommended multimedia resources, and the multimedia resource recommendation module 305 is configured to: recommend the score according to the first user preference score and the second user preference score. Multimedia resources for recommendation.
- a weight value determining unit configured to determine a weight value corresponding to each user behavior according to a duration of each user behavior as a proportion of a playing time of the recommended multimedia resource
- the device further includes:
- the receiving user determining unit is configured to determine, in the third user preference score, a user preference score greater than a preset threshold; and determine, by the user corresponding to the user preference score greater than the preset threshold, The receiving user of the multimedia resource to be recommended.
- the device analyzes the user viewing data of the multimedia resource to be recommended in the trial broadcast range, and obtains the user behavior data corresponding to the multimedia resource to be recommended, and then calculates the first to be recommended multimedia resource according to the user behavior data.
- User preference score and then recommending the recommended multimedia resource according to the first user preference score and the second user preference score of the plurality of recommended multimedia resources, because the user preference score of the multimedia resource to be recommended is based on
- the user behavior data corresponding to the recommended multimedia resource is calculated, and the user behavior data can reflect the user's true preference for the multimedia resource, so the user preference score of the multimedia resource to be recommended and the user preference of the recommended multimedia resource are determined.
- the recommended accuracy rate is higher.
- the server 400 can vary considerably depending on configuration or performance, and can include one or more central processing units (CPUs) 422 (eg, one or more processors) and memory 432, one or one
- the storage medium 430 (for example, one or one storage device in Shanghai) that stores the application 442 or the data 444 above.
- the memory 432 and the storage medium 430 may be short-term storage or persistent storage.
- the program stored on storage medium 430 may include one or more modules (not shown), each of which may include a series of instruction operations in the server.
- central processor 422 can be configured to communicate with storage medium 430, executing a series of instruction operations in storage medium 430 on server 400.
- Server 400 may also include one or more power sources 426, one or more wired or wireless network interfaces 450, one or more input and output interfaces 458, one or more keyboards 456, and/or one or more operating systems 441.
- power sources 426 for example, Windows ServerTM, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM, etc.
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Abstract
Description
Claims (14)
- 一种多媒体资源推荐方法,其特征在于,所述方法包括:获取待推荐多媒体资源在试播范围内的用户观看数据,所述用户观看数据至少包括用户音视频数据和用户视频深度数据;对所述用户观看数据进行分析处理,得到所述待推荐多媒体资源对应的用户行为数据;根据所述待推荐多媒体资源对应的用户行为数据,计算所述待推荐多媒体资源的第一用户喜好度分值;获取多个已推荐多媒体资源的第二用户喜好度分值;根据所述第一用户喜好度分值和所述第二用户喜好度分值,对所述待推荐多媒体资源进行推荐。
- 根据权利要求1所述的方法,其特征在于,所述根据所述待推荐多媒体资源对应的用户行为数据,计算所述待推荐多媒体资源的第一用户喜好度分值,包括:对于每一个用户行为数据,确定所述用户行为数据包括的至少一个用户行为;查询预先存储的用户行为与用户喜好值之间的对应关系,得到所述至少一个用户行为对应的用户喜好值;根据每一个用户行为的持续时间占所述已推荐多媒体资源的播放时长比例,确定所述每一个用户行为对应的权重值;根据所述每一个用户行为对应的用户喜好值和权重值,计算所述待推荐多媒体资源的第一用户喜好度分值。
- 根据权利要求2所述的方法,其特征在于,所述查询预先存储的用户行为与用户喜好值之间的对应关系,得到所述至少一个用户行为对应的用户喜好值之前,所述方法还包括:对于每一个用户行为,预先为所述用户行为设置用户喜好值;将用户行为与用户喜好值之间的对应关系进行存储。
- 根据权利要求1所述的方法,其特征在于,所述根据所述第一用户喜好度分值和所述第二用户喜好度分值,对所述待推荐多媒体资源进行推荐,包括:在所述第二用户喜好度分值中,确定与所述第一用户喜好度分值相似的第三用户喜好度分值;根据所述第三用户喜好度分值,确定所述待推荐多媒体资源的接收用户;将所述待推荐多媒体资源发送至所述接收用户的播放设备;其中,所述第二用户喜好度分值根据第二传感器收集到的数据计算得到,所述第二传感器安装在所述多个已推荐多媒体资源对应的播放设备上或所述播放设备附近。
- 根据权利要求4所述的方法,其特征在于,所述根据所述第三用户喜好度分值,确定所述待推荐多媒体资源的接收用户,包括:在所述第三用户喜好度分值中,确定大于预设阈值的用户喜好度分值;将大于所述预设阈值的用户喜好度分值对应的用户,确定为所述待推荐多媒体资源的接收用户。
- 根据权利要求4所述的方法,其特征在于,所述将所述待推荐多媒体资源发送至所述接收用户的播放设备之后,所述方法还包括:获取所述待推荐多媒体资源对应的第三传感器收集到的用户观看数据;对所述第三传感器收集到的用户观看数据进行分析处理,得到所述待推荐多媒体资源对应的多个用户行为数据;根据每一个用户行为数据,更新所述待推荐多媒体资源的用户喜好度分值;根据更新后的用户喜好度分值,确定所述待推荐多媒体资源的有效性。
- 根据权利要求1所述的方法,其特征在于,所述用户观看数据由第一传感器收集得到,所述第一传感器安装在所述试播范围内的多个播放设备上或所述多个播放设备附近。
- 一种多媒体资源推荐装置,其特征在于,所述装置包括:用户观看数据获取模块,用于获取待推荐多媒体资源在试播范围内的用户观看数据,所述用户观看数据至少包括用户音视频数据和用户视频深度数据;用户行为数据获取模块,用于对所述用户观看数据进行分析处理,得到所述待推荐多媒体资源对应的用户行为数据;用户喜好度分值计算模块,用于根据所述待推荐多媒体资源对应的用户行为数据,计算所述待推荐多媒体资源的第一用户喜好度分值;用户喜好度分值获取模块,用于获取多个已推荐多媒体资源的第二用户喜好度分值;多媒体资源推荐模块,用于根据所述第一用户喜好度分值和所述第二用户喜好度分值,对所述待推荐多媒体资源进行推荐。
- 根据权利要求8所述的装置,其特征在于,用户喜好度分值计算模块,包括:用户行为确定单元,用于对于每一个用户行为数据,确定所述用户行为数据包括的至少一个用户行为;用户喜好值获取单元,用于查询预先存储的用户行为与用户喜好值之间的对应关系,得到所述至少一个用户行为对应的用户喜好值;权重值确定单元,用于根据每一个用户行为的持续时间占所述已推荐多媒体资源的播放时长比例,确定所述每一个用户行为对应的权重值;用户喜好度分值计算模块,用于根据所述每一个用户行为对应的用户喜好值和权重值,计算所述待推荐多媒体资源的第一用户喜好度分值。
- 根据权利要求9所述的装置,其特征在于,所述装置还包括:用户喜好值设置模块,用于对于每一个用户行为,预先为所述用户行为设置用户喜好值;存储模块,用于将用户行为与用户喜好值之间的对应关系进行存储。
- 根据权利要求8所述的装置,其特征在于,所述多媒体资源推荐模块,包括:用户喜好度分值确定单元,用于在所述第二用户喜好度分值中,确定与所述第一用户喜好度分值相似的第三用户喜好度分值;接收用户确定单元,用于根据所述第三用户喜好度分值,确定所述待推荐多媒体资源的接收用户;多媒体资源发送模块,用于将所述待推荐多媒体资源发送至所述接收用户的播放设备;其中,所述第二用户喜好度分值根据第二传感器收集到的数据计算得到,所述第二传感器安装在所述多个已推荐多媒体资源对应的播放设备上或所述播放设备附近。
- 根据权利要求11所述的装置,其特征在于,所述接收用户确定单元,用于在所述第三用户喜好度分值中,确定大于预设阈值的用户喜好度分值;将大于所述预设阈值的用户喜好度分值对应的用户,确定为所述待推荐多媒体资源的接收用户。
- 根据权利要求11所述的装置,其特征在于,所述装置还包括:传感器数据获取模块,用于获取所述待推荐多媒体资源对应的第三传感器收集到的用户观看数据;所述用户行为模块,用于数据对所述第三传感器收集到的用户观看数据进行分析处理,得到所述待推荐多媒体资源对应的多个用户行为数据;用户喜好度分值更新模块,用于根据每一个用户行为数据,更新所述待推荐多媒体资源的用户喜好度分值;有效性确定模块,用于根据更新后的用户喜好度分值,确定所述待推荐多媒体资源的有效性。
- 根据权利要求8所述的装置,其特征在于,所述用户观看数据由第一传感器收集得到,所述第一传感器安装在所述试播范围内的多个播放设备上或所述多个播放设备附近。
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