WO2018023686A1 - Data acquisition method for content recommendation technology and recommendation system - Google Patents
Data acquisition method for content recommendation technology and recommendation system Download PDFInfo
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- WO2018023686A1 WO2018023686A1 PCT/CN2016/093483 CN2016093483W WO2018023686A1 WO 2018023686 A1 WO2018023686 A1 WO 2018023686A1 CN 2016093483 W CN2016093483 W CN 2016093483W WO 2018023686 A1 WO2018023686 A1 WO 2018023686A1
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Definitions
- the invention belongs to the field of Internet, and in particular relates to a data collection method and a recommendation system for content recommendation technology.
- the patent application process and the post-authorization maintenance process will generate human and financial costs: such as replying to review opinions, paying license fees, etc., for core technologies (such as CDMA underlying technology) or market identification.
- core technologies such as CDMA underlying technology
- market identification For relatively high-tech technologies (such as sliding unlocking), the related costs are negligible, and the investment in these technologies is worthwhile, but such technologies are a minority after all, and more technologies have been verified by the market. The user's pain points or itch points cannot be touched, and the patent investment in these technologies is likely to cause cost waste.
- the embodiment of the invention provides a data collection method for the content recommendation technology, and the purpose is to provide a kind of listening content that is not easily and easily searched by the current user, and the user experience is not good.
- the content method can also facilitate the timely and effective collection of relevant technologies by the manufacturer.
- the present invention is implemented as follows: a data collection method of content recommendation technology, comprising the following steps:
- the user is pushed with the same content as the most frequently occurring tag, and the user has not listened to the content, and sends the technical usage data to the data collection terminal preset by the manufacturer.
- the embodiment of the invention further provides a recommendation system, including:
- a recording unit for recording a preset label related to the played content
- a statistical unit wherein the input end is respectively connected to the output end of the recording unit and the output end of the checking unit, and is used for counting a label corresponding to the played content in the user listening record;
- a finishing unit whose input end is connected with the output end of the statistical unit, and is used for sorting the number of occurrences of related tags
- a pushing unit the input end of which is connected to the output end of the sorting unit, and is configured to push the user with the same content as the most frequently occurring label, and the user has not listened to the content;
- the technical data collection unit has an input end connected to the output end of the push unit, and is configured to send technical use data to a data collection end preset by the manufacturer.
- the invention actively pushes the listening content with the same label to the user according to the user's listening interest, thereby improving the user's listening experience, and also facilitating the timely and effective collection of the relevant technology by the manufacturer.
- FIG. 1 is a schematic flowchart of a data collection method of a content recommendation technology according to an embodiment of the present invention
- FIG. 2 is a schematic structural diagram of a recommendation system according to an embodiment of the present invention.
- FIG. 1 is a schematic flowchart of a data collection method of a content recommendation technology according to an embodiment of the present invention. For convenience of description, only parts related to the embodiment of the present invention are shown.
- step S101 a preset tag related to the played content is recorded.
- the user listens to the "Tomb Notes" novel and “Luo Ji thinking” as an example, sets the label of 'Tomb Tomb' on “Tomb Notes”, and sets the label of 'Talk Show' on 'Luo Ji thinking' .
- step S102 the user's listening record for a preset period of time is checked.
- the user's record of listening during the month is checked. For example, the user is listening to the "Tomb Notes” novel and “Luo Ji thinking” during this time.
- step S103 the tag corresponding to the played content in the user's listening record is counted.
- step S104 the number of occurrences of the related tags is organized.
- step S105 the user has the same content as the most frequently occurring tag, and the user has not listened to the content, and transmits the technical use data to the data collection terminal preset by the manufacturer.
- the technology uses data for the user to use the data of the technology, that is, the data generated when the method completes the first few steps, the data includes the number of times the user uses the technology (eg, the first time using the technology within a certain period of time) Technology); the specific time point of using the technology; the user's related operations before and after using the technology can help the technology provider to better evaluate the market value of the technology, and better improve the technical data according to the feedback.
- the invention actively pushes the listening content with the same label to the user according to the user's listening interest, thereby improving the user's listening experience, and also facilitating the timely and effective collection of the relevant technology by the manufacturer.
- FIG. 2 is a schematic structural diagram of a recommendation system according to an embodiment of the present invention, where the recommendation system includes:
- a recording unit 21 configured to record a preset label related to the played content
- the checking unit 22 is configured to check a listening record of the user within a preset time period
- the statistics unit 23 is connected to the output end of the recording unit 21 and the output end of the checking unit 22, and is used for counting the label corresponding to the playing content in the user listening record;
- a sorting unit 24 whose input end is connected with the output end of the statistical unit 23, and is used for sorting the number of occurrences of related tags;
- a pushing unit 25 whose input end is connected to the output end of the sorting unit 24, and is used for pushing the user with the same content as the most frequently occurring label, and the user has not listened to the content;
- the technical data collecting unit 26 has an input end connected to the output end of the pushing unit 25 for transmitting technical usage data to a data collecting end preset by the manufacturer.
- the working principle is: the recording unit 21 records the preset label related to the playing content; the checking unit 22 checks the listening record of the user within the preset time period; the statistics unit 23 counts the label corresponding to the playing content in the user listening record; The sorting unit 24 sorts the number of occurrences of the related tags; the pushing unit 25 pushes the user with the same number of tags as the most frequently occurring, and the user has not listened to the content, and at the same time, the technical data collecting unit 26 sends the technology to the data collecting end preset by the manufacturer. Use data.
- the invention actively pushes the listening content with the same label to the user according to the user's listening interest, thereby improving the user's listening experience, and also facilitating the timely and effective collection of the relevant technology by the manufacturer.
Abstract
The present invention relates to the field of Internet, and provides a data acquisition method for a content recommendation technology and a recommendation system. The method comprises: recording preset tags related to playback content; checking listening records of a user within a preset time period; collecting statistics about tags corresponding to the playback content in the listening records of the user; counting the number of occurrences of related tags; and pushing to the user content that has a tag having the maximum number of occurrences and has not been listened to by the user, and sending technology usage data to a data acquisition end preset by a manufacturer. By proactively pushing to a user listening content having the same tag according to the user's listening interests, the present invention improves user experience in listening, and also enables the manufacturer to conveniently acquire a use state of the related technology in timely and effective fashion.
Description
本发明属于互联网领域，尤其是涉及一种内容推荐技术的数据采集方法以及推荐系统。 The invention belongs to the field of Internet, and in particular relates to a data collection method and a recommendation system for content recommendation technology.
现在企业申请的专利数量越来越多，而且将专利用在市场上、产品中的情形也越来越多。 Nowadays, the number of patents applied by enterprises is increasing, and the use of patents in the market and products is increasing.
根据国家知识产权的数据库显示， OPPO公司 在2014年申请的发明专利数为938个，而同期 的腾讯公司
的发明专利数为1447个。这两家公司的发明中，有关于用户体验和用户直接操作相关的发明专利约占总数的80%左右。当然包括其他以用户体验为主的公司的类似专利申请也是具有很大的数量级，比如小米公司等。 According to the national intellectual property database, OPPO applied for 938 invention patents in 2014, while Tencent Company of the same period
The number of invention patents was 1,447. Among the inventions of the two companies, about 80% of the total number of invention patents related to user experience and direct user operations. Of course, similar patent applications, including other companies based on user experience, are also of a large order of magnitude, such as Xiaomi.
考虑到技术使用的同时，专利的申请过程和授权后的维护过程都会产生人力、财力上的成本：如答复审查意见、缴纳授权费等，对于核心技术（如：CDMA的底层技术）或市场认同度比较高的技术（如：滑动解锁）而言，那么相关成本就可以忽略不计，对于这些技术的投入是值得的，但这类技术毕竟是少数，更多的技术经过市场验证后，其实并不能触及用户的痛点或痒点，而对这些技术的专利投入，就容易造成成本的浪费。
Considering the use of technology, the patent application process and the post-authorization maintenance process will generate human and financial costs: such as replying to review opinions, paying license fees, etc., for core technologies (such as CDMA underlying technology) or market identification. For relatively high-tech technologies (such as sliding unlocking), the related costs are negligible, and the investment in these technologies is worthwhile, but such technologies are a minority after all, and more technologies have been verified by the market. The user's pain points or itch points cannot be touched, and the patent investment in these technologies is likely to cause cost waste.
所以需要有一种方法能够通过实在的数据，及时评估相关技术的市场接受度或价值，同时，为了使得本人的上一个申请《一种网络收音机内容推荐的方法和推荐系统》中的相关技术得到及时评估，特提出一种技术使用数据的采集/发送的方法。
Therefore, there is a need to have a method to timely assess the market acceptance or value of related technologies through real data, and at the same time, in order to make the relevant technology in my previous application "a method and recommendation system for Internet radio content recommendation" timely Evaluation, a method of collecting/sending data using technology is proposed.
本发明实施例提供了一种内容推荐技术的数据采集方法，目的在于针对于当前用户不能快捷容易的查找到感兴趣的收听内容，用户体验不佳的情况，需要提供一种根据用户兴趣推送收听内容的方法，同时也可以方便厂家及时有效的采集相关技术的使用情况。
The embodiment of the invention provides a data collection method for the content recommendation technology, and the purpose is to provide a kind of listening content that is not easily and easily searched by the current user, and the user experience is not good. The content method can also facilitate the timely and effective collection of relevant technologies by the manufacturer.
本发明是这样实现的：一种内容推荐技术的数据采集方法，包括以下步骤： The present invention is implemented as follows: a data collection method of content recommendation technology, comprising the following steps:
记录预设的与播放内容有关的标签； Record preset labels related to the content being played;
检查用户在预设的时间段内的收听记录； Check the user's listening history within the preset time period;
统计用户收听记录中与播放内容对应的标签； Counting the label corresponding to the played content in the user's listening record;
整理相关标签的出现次数； Organize the number of occurrences of related tags;
向用户推送具有与出现次数最多的标签相同，且用户没有收听过的内容，并向厂家预设的数据采集端发送技术使用数据。
The user is pushed with the same content as the most frequently occurring tag, and the user has not listened to the content, and sends the technical usage data to the data collection terminal preset by the manufacturer.
本发明实施例还提供了一种推荐系统，包括： The embodiment of the invention further provides a recommendation system, including:
记录单元，检查单元，统计单元，整理单元，推送单元，技术数据采集单元，其中: Recording unit, inspection unit, statistical unit, finishing unit, pushing unit, technical data collecting unit, wherein:
记录单元，用于记录预设的与播放内容有关的标签； a recording unit for recording a preset label related to the played content;
检查单元，用于检查用户在预设的时间段内的收听记录； An inspection unit for checking a listening record of the user within a preset time period;
统计单元，其输入端分别与所述记录单元的输出端以及所述检查单元的输出端连接，用于统计用户收听记录中与播放内容对应的标签；
a statistical unit, wherein the input end is respectively connected to the output end of the recording unit and the output end of the checking unit, and is used for counting a label corresponding to the played content in the user listening record;
整理单元，其输入端与所述统计单元的输出端连接，用于整理相关标签的出现次数； a finishing unit, whose input end is connected with the output end of the statistical unit, and is used for sorting the number of occurrences of related tags;
推送单元，其输入端与所述整理单元的输出端连接，用于向用户推送具有与出现次数最多的标签相同，且用户没有收听过的内容；
a pushing unit, the input end of which is connected to the output end of the sorting unit, and is configured to push the user with the same content as the most frequently occurring label, and the user has not listened to the content;
技术数据采集单元，其输入端与所述推送单元的输出端连接，用于向厂家预设的数据采集端发送技术使用数据。
The technical data collection unit has an input end connected to the output end of the push unit, and is configured to send technical use data to a data collection end preset by the manufacturer.
该发明通过根据用户的收听兴趣，从而主动向用户推送具有相同标签的收听内容，从而提升用户收听体验，同时也可以方便厂家及时有效的采集相关技术的使用情况。
The invention actively pushes the listening content with the same label to the user according to the user's listening interest, thereby improving the user's listening experience, and also facilitating the timely and effective collection of the relevant technology by the manufacturer.
图1是本发明实施例提供的一种内容推荐技术的数据采集方法的流程示意图； 1 is a schematic flowchart of a data collection method of a content recommendation technology according to an embodiment of the present invention;
图2是本发明实施例提供的推荐系统的结构示意图。 FIG. 2 is a schematic structural diagram of a recommendation system according to an embodiment of the present invention.
为了使本发明的目的、技术方案及优点更加清楚明白，以下结合附图及实施例，对本发明进行进一步详细说明。应当理解，此处所描述的具体实施例仅仅用以解释本发明，并不用于限定本发明。
The present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It is understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
图1是发明实施例提供的一种内容推荐技术的数据采集方法的流程示意图，为了便于说明，只示出了与本发明实施例相关的部分。
FIG. 1 is a schematic flowchart of a data collection method of a content recommendation technology according to an embodiment of the present invention. For convenience of description, only parts related to the embodiment of the present invention are shown.
在步骤S101中，记录预设的与播放内容有关的标签。 In step S101, a preset tag related to the played content is recorded.
在本实施例中，以用户听《盗墓笔记》小说和'罗辑思维'为例，在《盗墓笔记》上设置'盗墓'的标签，在'罗辑思维'上设置'脱口秀'的标签。
In this embodiment, the user listens to the "Tomb Notes" novel and "Luo Ji thinking" as an example, sets the label of 'Tomb Tomb' on "Tomb Notes", and sets the label of 'Talk Show' on 'Luo Ji Thinking' .
在步骤S102中，检查用户在预设的时间段内的收听记录。 In step S102, the user's listening record for a preset period of time is checked.
如在最近的一个月内，检查用户在这一个月内收听的记录，例如，用户在这段时间内都在听《盗墓笔记》小说和'罗辑思维'。
For example, in the most recent month, the user's record of listening during the month is checked. For example, the user is listening to the "Tomb Notes" novel and "Luo Ji Thinking" during this time.
在步骤S103中，统计用户收听记录中与播放内容对应的标签。 In step S103, the tag corresponding to the played content in the user's listening record is counted.
在步骤S104中，整理相关标签的出现次数。 In step S104, the number of occurrences of the related tags is organized.
在步骤S105中，向用户推送具有与出现次数最多的标签相同，且用户没有收听过的内容,并向厂家预设的数据采集端发送技术使用数据。
In step S105, the user has the same content as the most frequently occurring tag, and the user has not listened to the content, and transmits the technical use data to the data collection terminal preset by the manufacturer.
经过统计分析，用户收听的《盗墓笔记》小说和'罗辑思维'这两个内容，《盗墓笔记》所对应的标签是'盗墓'，'罗辑思维'对应的标签是'脱口秀'，而且上述两个内容在这一个月中，每个出现的次数为30多次，几乎每天都在听。因此，系统会向用户推荐具有相同'盗墓'和'脱口秀'标签的不同内容，如，具有'盗墓'标签的《鬼吹灯》、《寻墓记》等，具有'脱口秀'标签的'晓松奇谈'、'嘟嘟'、'老梁故事汇'等，以供用户选择。
After statistical analysis, the user listened to the "Tomb Notes" novel and "Luo Ji thinking" two contents, the label corresponding to "Tomb Notes" is 'tomb tomb', the label corresponding to 'Luo Ji thinking' is 'talk show', And the above two contents in the month, each occurrence of more than 30 times, almost every day. Therefore, the system will recommend different contents with the same 'Tomb" and 'Talk Show' labels, such as "Ghost Blowing Light" with "Tomb" tag, "Tombstone", etc., with the 'talk show' tag. Xiaosongqi talks about ', 'dudu', 'old beam story sink', etc., for users to choose.
所述技术使用数据为用户使用该技术的数据，即所述方法走完前几个步骤时产生的数据，所述数据包括用户使用该技术的次数（如在一定时间内是第几次使用该技术）；使用该技术的具体时间点；使用该技术前后用户的相关操作等有助于技术提供方更好的评价技术的市场价值，并根据所述反馈更好的改进技术的数据。
The technology uses data for the user to use the data of the technology, that is, the data generated when the method completes the first few steps, the data includes the number of times the user uses the technology (eg, the first time using the technology within a certain period of time) Technology); the specific time point of using the technology; the user's related operations before and after using the technology can help the technology provider to better evaluate the market value of the technology, and better improve the technical data according to the feedback.
该发明通过根据用户的收听兴趣，从而主动向用户推送具有相同标签的收听内容，从而提升用户收听体验，同时也可以方便厂家及时有效的采集相关技术的使用情况。
The invention actively pushes the listening content with the same label to the user according to the user's listening interest, thereby improving the user's listening experience, and also facilitating the timely and effective collection of the relevant technology by the manufacturer.
图2是本发明实施例提供的一种推荐系统的结构示意图，该推荐系统包括： FIG. 2 is a schematic structural diagram of a recommendation system according to an embodiment of the present invention, where the recommendation system includes:
记录单元21，检查单元22，统计单元23，整理单元24，推送单元25，技术数据采集单元26，其中：
The recording unit 21, the checking unit 22, the counting unit 23, the sorting unit 24, the pushing unit 25, and the technical data collecting unit 26, wherein:
记录单元21，用于记录预设的与播放内容有关的标签； a recording unit 21, configured to record a preset label related to the played content;
检查单元22，用于检查用户在预设的时间段内的收听记录； The checking unit 22 is configured to check a listening record of the user within a preset time period;
统计单元23，其输入端分别与所述记录单元21的输出端以及所述检查单元22的输出端连接，用于统计用户收听记录中与播放内容对应的标签；
The statistics unit 23 is connected to the output end of the recording unit 21 and the output end of the checking unit 22, and is used for counting the label corresponding to the playing content in the user listening record;
整理单元24，其输入端与所述统计单元23的输出端连接，用于整理相关标签的出现次数； a sorting unit 24, whose input end is connected with the output end of the statistical unit 23, and is used for sorting the number of occurrences of related tags;
推送单元25，其输入端与所述整理单元24的输出端连接，用于向用户推送具有与出现次数最多的标签相同，且用户没有收听过的内容；
a pushing unit 25, whose input end is connected to the output end of the sorting unit 24, and is used for pushing the user with the same content as the most frequently occurring label, and the user has not listened to the content;
技术数据采集单元26，其输入端与所述推送单元25的输出端连接，用于向厂家预设的数据采集端发送技术使用数据。
The technical data collecting unit 26 has an input end connected to the output end of the pushing unit 25 for transmitting technical usage data to a data collecting end preset by the manufacturer.
其工作原理是：记录单元21记录预设的与播放内容有关的标签；检查单元22检查用户在预设的时间段内的收听记录；统计单元23统计用户收听记录中与播放内容对应的标签；整理单元24整理相关标签的出现次数；推送单元25向用户推送具有与出现次数最多的标签相同，且用户没有收听过的内容,同时，技术数据采集单元26向厂家预设的数据采集端发送技术使用数据。
The working principle is: the recording unit 21 records the preset label related to the playing content; the checking unit 22 checks the listening record of the user within the preset time period; the statistics unit 23 counts the label corresponding to the playing content in the user listening record; The sorting unit 24 sorts the number of occurrences of the related tags; the pushing unit 25 pushes the user with the same number of tags as the most frequently occurring, and the user has not listened to the content, and at the same time, the technical data collecting unit 26 sends the technology to the data collecting end preset by the manufacturer. Use data.
该发明通过根据用户的收听兴趣，从而主动向用户推送具有相同标签的收听内容，从而提升用户收听体验，同时也可以方便厂家及时有效的采集相关技术的使用情况。
The invention actively pushes the listening content with the same label to the user according to the user's listening interest, thereby improving the user's listening experience, and also facilitating the timely and effective collection of the relevant technology by the manufacturer.
以上仅为本发明的较佳实施例而已，并不用以限制本发明，凡在本发明的精神和原则之内所作的任何修改、等同替换和改进等，均应包含在本发明的保护范围之内。
The above are only the preferred embodiments of the present invention, and are not intended to limit the present invention. Any modifications, equivalents, and improvements made within the spirit and scope of the present invention should be included in the scope of the present invention. Inside.
Claims (2)
- 一种内容推荐技术的数据采集方法，其特征在于，所述方法包括如下步骤： A data collection method for content recommendation technology, characterized in that the method comprises the following steps:记录预设的与播放内容有关的标签；Record preset labels related to the content being played;检查用户在预设的时间段内的收听记录；Check the user's listening history within the preset time period;统计用户收听记录中与播放内容对应的标签；Counting the label corresponding to the played content in the user's listening record;整理相关标签的出现次数；Organize the number of occurrences of related tags;向用户推送具有与出现次数最多的标签相同，且用户没有收听过的内容，并向厂家预设的数据采集端发送技术使用数据。The user is pushed with the same content as the most frequently occurring tag, and the user has not listened to the content, and sends the technical usage data to the data collection terminal preset by the manufacturer.
- 一种推荐系统，其特征在于，所述推荐系统包括：A recommendation system, wherein the recommendation system comprises:记录单元，检查单元，统计单元，整理单元，推送单元，技术数据采集单元，其中:Recording unit, inspection unit, statistical unit, finishing unit, pushing unit, technical data collecting unit, wherein:记录单元，用于记录预设的与播放内容有关的标签；a recording unit for recording a preset label related to the played content;检查单元，用于检查用户在预设的时间段内的收听记录；An inspection unit for checking a listening record of the user within a preset time period;统计单元，其输入端分别与所述记录单元的输出端以及所述检查单元的输出端连接，用于统计用户收听记录中与播放内容对应的标签；a statistical unit, wherein the input end is respectively connected to the output end of the recording unit and the output end of the checking unit, and is used for counting a label corresponding to the played content in the user listening record;整理单元，其输入端与所述统计单元的输出端连接，用于整理相关标签的出现次数；a finishing unit, whose input end is connected with the output end of the statistical unit, and is used for sorting the number of occurrences of related tags;推送单元，其输入端与所述整理单元的输出端连接，用于向用户推送具有与出现次数最多的标签相同，且用户没有收听过的内容；a pushing unit, the input end of which is connected to the output end of the sorting unit, and is configured to push the user with the same content as the most frequently occurring label, and the user has not listened to the content;技术数据采集单元，其输入端与所述推送单元的输出端连接，用于向厂家预设的数据采集端发送技术使用数据。The technical data collection unit has an input end connected to the output end of the push unit, and is configured to send technical use data to a data collection end preset by the manufacturer.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080040221A1 (en) * | 2006-08-08 | 2008-02-14 | Google Inc. | Interest Targeting |
| CN103023971A (en) * | 2012-11-15 | 2013-04-03 | 广州酷狗计算机科技有限公司 | Information pushing method and system of music sharing radio stations |
| CN103218438A (en) * | 2013-04-18 | 2013-07-24 | 广东欧珀移动通信有限公司 | Method of recommending online music based on playing record of mobile terminal and mobile terminal |
| CN103377200A (en) * | 2012-04-17 | 2013-10-30 | 腾讯科技（深圳）有限公司 | Method and device for collecting user preference information |
| CN104899302A (en) * | 2015-06-10 | 2015-09-09 | 百度在线网络技术（北京）有限公司 | Method and device for recommending music to user |
| CN105302890A (en) * | 2015-10-16 | 2016-02-03 | 海信集团有限公司 | Multimedia content online recommendation method and multimedia content online recommendation auxiliary method and apparatus |
-
2016
- 2016-08-05 WO PCT/CN2016/093483 patent/WO2018023686A1/en active Application Filing
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080040221A1 (en) * | 2006-08-08 | 2008-02-14 | Google Inc. | Interest Targeting |
| CN103377200A (en) * | 2012-04-17 | 2013-10-30 | 腾讯科技（深圳）有限公司 | Method and device for collecting user preference information |
| CN103023971A (en) * | 2012-11-15 | 2013-04-03 | 广州酷狗计算机科技有限公司 | Information pushing method and system of music sharing radio stations |
| CN103218438A (en) * | 2013-04-18 | 2013-07-24 | 广东欧珀移动通信有限公司 | Method of recommending online music based on playing record of mobile terminal and mobile terminal |
| CN104899302A (en) * | 2015-06-10 | 2015-09-09 | 百度在线网络技术（北京）有限公司 | Method and device for recommending music to user |
| CN105302890A (en) * | 2015-10-16 | 2016-02-03 | 海信集团有限公司 | Multimedia content online recommendation method and multimedia content online recommendation auxiliary method and apparatus |
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