WO2017124394A1 - Method for automatically recommending resources by vehicle-mounted computer and recommendation system - Google Patents
Method for automatically recommending resources by vehicle-mounted computer and recommendation system Download PDFInfo
- Publication number
- WO2017124394A1 WO2017124394A1 PCT/CN2016/071651 CN2016071651W WO2017124394A1 WO 2017124394 A1 WO2017124394 A1 WO 2017124394A1 CN 2016071651 W CN2016071651 W CN 2016071651W WO 2017124394 A1 WO2017124394 A1 WO 2017124394A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- user
- resources
- resource
- tags
- unit
- Prior art date
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
Definitions
- the invention belongs to the field of automobiles, and in particular relates to a method and a recommendation system for automatically recommending resources of a vehicle-mounted computer.
- the Internet has changed the carrier of music.
- the carrier of music is vinyl, cassette, CD, MP3. .
- the carrier of music became a mobile APP and video website for free Internet audio-visual, downloading resource websites and platforms, clients and music resources.
- the implementation of the present invention is inconvenient for the current vehicle-mounted device to switch resources, and the resource cannot be played according to the user's preference. Count the user's past 10 by recording the label corresponding to the resource The tag with the most repetition of resources in the day is set to the user's favorite resource type, so that the on-board computer can be customized according to personal preference, reducing the manual operation and making the on-board computer more humanized.
- a method for automatically recommending resources by an onboard computer comprising the following steps:
- An embodiment of the present invention further provides a recommendation system, where the recommendation system includes:
- a recording unit configured to record a label corresponding to the resource, and record a list of resources that have been listened to;
- a statistical unit whose input end is connected to the output end of the recording unit, and is used for counting the number of resource tags that the user listens to when the user listens to the resource;
- a setting unit whose input terminal is connected to the output of the statistical unit for using the past 10 Set the number of times the user listens to the most repeated resources in the day as the user's preference;
- a recommendation unit whose input end is connected to the output of the setting unit, and is used for recommending a resource having the label and not heard by the user.
- the invention counts the user's past 10 by recording the label corresponding to the resource.
- the tag that listens to the most repeated resources in the day is set to the user's favorite resource type, so that the on-board computer can be customized according to personal preference, which reduces the manual operation and makes the on-board computer more humanized.
- FIG. 1 is a schematic flow chart of a method for automatically recommending resources of a vehicle-mounted computer 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 flow chart of a method for automatically recommending resources of a vehicle-mounted computer according to an embodiment of the present invention. For the convenience of description, only parts related to the embodiment of the present invention are shown.
- step S100 the label corresponding to the resource is recorded, and the list of resources that have been listened to is recorded.
- step S101 when the user listens to the resource, the number of resource tags that the user listens to is counted.
- step S102 the tag that has the most repeated user listening resources in the past 10 days is set as the user preference.
- step S103 the resource having the tag and not heard by the user is recommended to the user.
- the invention counts the user's past 10 by recording the label corresponding to the resource.
- the tag that listens to the most repeated resources in the day is set to the user's favorite resource type, so that the on-board computer can be customized according to personal preference, which reduces the manual operation and makes the on-board computer more humanized.
- FIG. 2 is a schematic structural diagram of a recommendation system according to an embodiment of the present invention, where the recommendation system includes:
- the recording unit 21 is configured to record a label corresponding to the resource, and record a list of resources that have been listened to;
- a statistical unit 22 an input end thereof and the recording unit 21 The output end is connected, and is used to count the number of resource tags that the user listens to when the user listens to the resource;
- the setting unit 23 has an input end connected to the output end of the statistical unit 22 for using the past 10 Set the number of times the user listens to the most repeated resources in the day as the user's preference;
- Recommendation unit 24 its input terminal and the setting unit 23 The output is connected to recommend a resource with the tag that the user has not heard.
- the working principle is: the user records the label corresponding to the resource in the recording unit 21, records the list of resources that have been listened to, and the statistical unit 22
- the user listens to the resource the number of resource tags that the user listens to is counted, and the setting unit 23 sets the tag that has the most repeated user listening resources in the past 10 days as the user preference, and the recommendation unit 24 Recommend a resource with this tag that the user has not heard.
- the invention counts the user's past 10 by recording the label corresponding to the resource.
- the tag that listens to the most repeated resources in the day is set to the user's favorite resource type, so that the on-board computer can be customized according to personal preference, which reduces the manual operation and makes the on-board computer more humanized.
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The present invention relates to the field of automobiles. Provided are a method for automatically recommending resources by a vehicle-mounted computer and a recommendation system. The method comprises: recording tags corresponding to resources and a list of resources that have been listened to; counting, when a user listens to resources, the quantities of the tags of the resources listened to by the user; setting the tags of resources that are most frequently listened to by the user in the past ten days as user preferences; and recommending, to the user, resources that have the tags and that have not been listened to by the user. By recording tags corresponding to resources, counting the tags of resources that are most frequently listened to by the user in the past ten days, and setting the tags as preferred resource types of the user, the method enables a vehicle-mounted computer to perform personalized customization according to personal preferences, reduces manual operations, and makes the vehicle-mounted computer more humanized.
Description
本发明属于汽车领域,尤其是涉及 一种车载电脑自动推荐资源的方法以及推荐系统 。 The invention belongs to the field of automobiles, and in particular relates to a method and a recommendation system for automatically recommending resources of a vehicle-mounted computer.
互联网改变了音乐的载体。在唱片工业时代,音乐的载体是黑胶、卡带、 CD 、 MP3
。互联网兴盛之后,音乐的载体变成了互联网免费视听、下载资源网站与平台、客户端以及音乐资源获取的移动 APP 、视频网站。 The Internet has changed the carrier of music. In the era of the record industry, the carrier of music is vinyl, cassette, CD, MP3.
. After the Internet boomed, the carrier of music became a mobile APP and video website for free Internet audio-visual, downloading resource websites and platforms, clients and music resources.
随着智能手机的发展,移动听书也孕育而生,移动听书让现代人随时随地的收听有声小说。同时,可供用户们选择的收听有声小说的载体也越来越多,人们可以利用电脑, MP3
播放机, 数字电视 , 收音机 等等收听这些小说节目,使得更多的人了解这些小说作品,从而让作者得到宣传作品的机会,并且能获得除出版版税之外的额外收益。
With the development of smart phones, mobile listening books have also emerged, and mobile listening books allow modern people to listen to audio novels anytime, anywhere. At the same time, there are more and more carriers for listening to audio novels that users can choose. People can use computers, MP3.
Players, digital TVs, radios, etc., listen to these novels, so that more people can understand these novels, so that the authors have the opportunity to advertise the works, and can get additional benefits in addition to publishing royalties.
除了音乐、有声读物外,还有很多网络上适合用来听的资源,比如相声小品,新闻,脱口秀节目等等,用户很容易就可以下载到手机或者电脑上。
In addition to music and audio books, there are many resources on the Internet that are suitable for listening, such as comic essays, news, talk shows, etc. Users can easily download them to their mobile phones or computers.
在过去,由于车载系统的特殊性,例如空间有限,无法安装像台式电脑一样的硬件,因此车载系统性能较差,只能播放
cd
,而且车辆行驶在道路上收道路状况的影响,颠簸会影响车载系统的播放质量,但是目前的车载系统无论从硬件还是技术上已经完全能够满足用户娱乐需求,导航,看电影,甚至上网冲浪。但是由于其驾驶的安全性考虑,用户驾驶车辆时一般只是收听有声节目,但是目前车载电脑在播放用户下载的大量资源时一般只能够按顺序,或者随机播放等,这些播放方式无法根据用户喜好播放,因此用户常常需要人工进行干预,这样做在驾车时会分散用户注意力,存在安全隐患。 In the past, due to the special nature of the in-vehicle system, such as limited space, it was impossible to install hardware like a desktop computer, so the performance of the in-vehicle system was poor and it could only be played.
Cd
And the impact of the vehicle on the road to meet the road conditions, bumps will affect the playback quality of the car system, but the current car system has been able to fully meet the user's entertainment needs, navigation, watching movies, and even surfing the Internet, both in hardware and technology. However, due to the safety of driving, users generally only listen to audio programs when driving a vehicle. However, currently, on-board computers can only play a large number of resources downloaded by users, and can only play in order, or randomly, etc. These playback modes cannot be played according to user preferences. Therefore, users often need to manually intervene, which will distract users' attention when driving, and there are security risks.
综上,需要针对当前车载放器切换资源时不方便且资源无法根据用户喜好的播放情况,需要提供一种
通过记录资源对应的标签,统计用户过去 10
天内收听资源重复次数最多的标签,设置为用户喜好资源类型,从而使车载电脑能根据个人喜好进行个性化定制,减少了人工操作,使车载电脑的更加人性化 。 In summary, it is inconvenient to switch resources for the current vehicle-mounted device, and the resources cannot be played according to the user's preference.
Count the user's past 10 by recording the label corresponding to the resource
The tag with the most repetition of resources in the day is set to the user's favorite resource type, so that the on-board computer can be customized according to personal preference, reducing the manual operation and making the on-board computer more humanized.
本发明实施针对当前车载放器切换资源时不方便且资源无法根据用户喜好的播放情况,需要提供一种
通过记录资源对应的标签,统计用户过去 10
天内收听资源重复次数最多的标签,设置为用户喜好资源类型,从而使车载电脑能根据个人喜好进行个性化定制,减少了人工操作,使车载电脑的更加人性化 。 The implementation of the present invention is inconvenient for the current vehicle-mounted device to switch resources, and the resource cannot be played according to the user's preference.
Count the user's past 10 by recording the label corresponding to the resource
The tag with the most repetition of resources in the day is set to the user's favorite resource type, so that the on-board computer can be customized according to personal preference, reducing the manual operation and making the on-board computer more humanized.
本发明是这样实现的: 一种车载电脑自动推荐资源的方法 ,包括以下步骤: The present invention is implemented as follows: A method for automatically recommending resources by an onboard computer, comprising the following steps:
记录资源对应的标签,记录已收听过的资源清单 ; Record the label corresponding to the resource and record the list of resources that have been listened to;
当用户收听资源时,统计用户所收听的资源标签次数; When the user listens to the resource, the number of resource tags that the user listens to is counted;
将过去 10 天内将用户收听资源重复次数最多的标签设置为用户喜好; Set the label that has the most user to listen to the resource repetitions in the past 10 days as the user's preference;
向用户推荐具有该标签,且用户没有听过的资源。 Recommend a resource with this tag that the user has not heard.
本发明实施例还提供了推荐系统,所述推荐系统包括: An embodiment of the present invention further provides a recommendation system, where the recommendation system includes:
记录单元,统计单元,设置单元,推荐单元,其中 Recording unit, statistical unit, setting unit, recommendation unit, wherein
记录单元,用于记录资源对应的标签,记录已收听过的资源清单; a recording unit, configured to record a label corresponding to the resource, and record a list of resources that have been listened to;
统计单元,其输入端与所述记录单元输出端连接,用于当用户收听资源时,统计用户所收听的资源标签次数;
a statistical unit, whose input end is connected to the output end of the recording unit, and is used for counting the number of resource tags that the user listens to when the user listens to the resource;
设置单元,其输入端与所述统计单元输出端连接,用于将过去 10
天内将用户收听资源重复次数最多的标签设置为用户喜好; a setting unit whose input terminal is connected to the output of the statistical unit for using the past 10
Set the number of times the user listens to the most repeated resources in the day as the user's preference;
推荐单元,其输入端与所述设置单元输出端连接,用于向用户推荐具有该标签,且用户没有听过的资源。
a recommendation unit, whose input end is connected to the output of the setting unit, and is used for recommending a resource having the label and not heard by the user.
该发明通过记录资源对应的标签,统计用户过去 10
天内收听资源重复次数最多的标签,设置为用户喜好资源类型,从而使车载电脑能根据个人喜好进行个性化定制,减少了人工操作,使车载电脑的更加人性化。 The invention counts the user's past 10 by recording the label corresponding to the resource.
The tag that listens to the most repeated resources in the day is set to the user's favorite resource type, so that the on-board computer can be customized according to personal preference, which reduces the manual operation and makes the on-board computer more humanized.
图 1 是本发明实施例提供的一种车载电脑自动推荐资源的方法 的流程示意图 ; 1 is a schematic flow chart of a method for automatically recommending resources of a vehicle-mounted computer 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 是本发明实施例提供的一种车载电脑自动推荐资源的方法 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。 1 is a schematic flow chart of a method for automatically recommending resources of a vehicle-mounted computer according to an embodiment of the present invention;
For the convenience of description, only parts related to the embodiment of the present invention are shown.
在步骤 S100 中 , 记录资源对应的标签,记录已收听过的资源清单。 In step S100, the label corresponding to the resource is recorded, and the list of resources that have been listened to is recorded.
如'罗辑思维'设置'读书'标签,'吴晓波'设置'读书'标签。 For example, 'Luo Ji Thinking' sets the 'Reading' tab, and 'Wu Xiaobo' sets the 'Reading' tab.
在步骤 S101 中 , 当用户收听资源时,统计用户所收听的资源标签次数。 In step S101, when the user listens to the resource, the number of resource tags that the user listens to is counted.
在步骤 S102 中,将过去 10 天内将用户收听资源重复次数最多的标签设置为用户喜好。 In step S102, the tag that has the most repeated user listening resources in the past 10 days is set as the user preference.
在步骤 S103 中,向用户推荐具有该标签,且用户没有听过的资源。 In step S103, the resource having the tag and not heard by the user is recommended to the user.
该发明通过记录资源对应的标签,统计用户过去 10
天内收听资源重复次数最多的标签,设置为用户喜好资源类型,从而使车载电脑能根据个人喜好进行个性化定制,减少了人工操作,使车载电脑的更加人性化。 The invention counts the user's past 10 by recording the label corresponding to the resource.
The tag that listens to the most repeated resources in the day is set to the user's favorite resource type, so that the on-board computer can be customized according to personal preference, which reduces the manual operation and makes the on-board computer more humanized.
图 2 是本发明实施例提供的推荐系统的结构示意图,所述推荐系统包括: 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 ,统计单元 22 ,设置单元 23 ,推荐单元 24 ,其中: a recording unit 21, a statistic unit 22, a setting unit 23, and a recommendation unit 24, wherein:
记录单元 21 ,用于记录资源对应的标签,记录已收听过的资源清单; The recording unit 21 is configured to record a label corresponding to the resource, and record a list of resources that have been listened to;
统计单元 22 ,其输入端与所述记录单元 21
输出端连接,用于当用户收听资源时,统计用户所收听的资源标签次数; a statistical unit 22, an input end thereof and the recording unit 21
The output end is connected, and is used to count the number of resource tags that the user listens to when the user listens to the resource;
设置单元 23 ,其输入端与所述统计单元 22 输出端连接,用于将过去 10
天内将用户收听资源重复次数最多的标签设置为用户喜好; The setting unit 23 has an input end connected to the output end of the statistical unit 22 for using the past 10
Set the number of times the user listens to the most repeated resources in the day as the user's preference;
推荐单元 24 ,其输入端与所述设置单元 23
输出端连接,用于向用户推荐具有该标签,且用户没有听过的资源。 Recommendation unit 24, its input terminal and the setting unit 23
The output is connected to recommend a resource with the tag that the user has not heard.
其工作原理是:用户在记录单元 21 记录资源对应的标签,记录已收听过的资源清单,统计单元 22
当用户收听资源时,统计用户所收听的资源标签次数,设置单元 23 将过去 10 天内将用户收听资源重复次数最多的标签设置为用户喜好,推荐单元 24
向用户推荐具有该标签,且用户没有听过的资源。 The working principle is: the user records the label corresponding to the resource in the recording unit 21, records the list of resources that have been listened to, and the statistical unit 22
When the user listens to the resource, the number of resource tags that the user listens to is counted, and the setting unit 23 sets the tag that has the most repeated user listening resources in the past 10 days as the user preference, and the recommendation unit 24
Recommend a resource with this tag that the user has not heard.
该发明通过记录资源对应的标签,统计用户过去 10
天内收听资源重复次数最多的标签,设置为用户喜好资源类型,从而使车载电脑能根据个人喜好进行个性化定制,减少了人工操作,使车载电脑的更加人性化。 The invention counts the user's past 10 by recording the label corresponding to the resource.
The tag that listens to the most repeated resources in the day is set to the user's favorite resource type, so that the on-board computer can be customized according to personal preference, which reduces the manual operation and makes the on-board computer more humanized.
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)
- 一种车载电脑自动推荐资源的方法,其特征在于,所述方法包括如下步骤: A method for automatically recommending resources by an onboard computer, characterized in that the method comprises the following steps:记录资源对应的标签,记录已收听过的资源清单 ;Record the label corresponding to the resource and record the list of resources that have been listened to;当用户收听资源时,统计用户所收听的资源标签次数;When the user listens to the resource, the number of resource tags that the user listens to is counted;将过去 10 天内将用户收听资源重复次数最多的标签设置为用户喜好;Set the label that has the most user to listen to the resource repetitions in the past 10 days as the user's preference;向用户推荐具有该标签,且用户没有听过的资源。Recommend a resource with this tag that the user has not heard.
- 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,统计单元,设置单元,推荐单元,其中:Recording unit, statistical unit, setting unit, recommendation unit, wherein:记录单元,用于记录资源对应的标签,记录已收听过的资源清单;a recording unit, configured to record a label corresponding to the resource, and record a list of resources that have been listened to;统计单元,其输入端与所述记录单元输出端连接,用于当用户收听资源时,统计用户所收听的资源标签次数;a statistical unit, whose input end is connected to the output end of the recording unit, and is used for counting the number of resource tags that the user listens to when the user listens to the resource;设置单元,其输入端与所述统计单元输出端连接,用于将过去 10 天内将用户收听资源重复次数最多的标签设置为用户喜好;a setting unit whose input terminal is connected to the output of the statistical unit for using the past 10 Set the number of times the user listens to the most repeated resources in the day as the user's preference;推荐单元,其输入端与所述设置单元输出端连接,用于向用户推荐具有该标签,且用户没有听过的资源。a recommendation unit, whose input end is connected to the output of the setting unit, and is used for recommending a resource having the label and not heard by the user.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
PCT/CN2016/071651 WO2017124394A1 (en) | 2016-01-21 | 2016-01-21 | Method for automatically recommending resources by vehicle-mounted computer and recommendation system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
PCT/CN2016/071651 WO2017124394A1 (en) | 2016-01-21 | 2016-01-21 | Method for automatically recommending resources by vehicle-mounted computer and recommendation system |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2017124394A1 true WO2017124394A1 (en) | 2017-07-27 |
Family
ID=59361182
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/CN2016/071651 WO2017124394A1 (en) | 2016-01-21 | 2016-01-21 | Method for automatically recommending resources by vehicle-mounted computer and recommendation system |
Country Status (1)
Country | Link |
---|---|
WO (1) | WO2017124394A1 (en) |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102043781A (en) * | 2009-10-23 | 2011-05-04 | 华为技术有限公司 | Web page resource recommendation method and device |
CN102236669A (en) * | 2010-04-30 | 2011-11-09 | 腾讯科技(深圳)有限公司 | Recommendation list generation method, device, media server, client and method |
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 |
CN104008138A (en) * | 2014-05-08 | 2014-08-27 | 南京邮电大学 | Music recommendation method based on social network |
-
2016
- 2016-01-21 WO PCT/CN2016/071651 patent/WO2017124394A1/en active Application Filing
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102043781A (en) * | 2009-10-23 | 2011-05-04 | 华为技术有限公司 | Web page resource recommendation method and device |
CN102236669A (en) * | 2010-04-30 | 2011-11-09 | 腾讯科技(深圳)有限公司 | Recommendation list generation method, device, media server, client and method |
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 |
CN104008138A (en) * | 2014-05-08 | 2014-08-27 | 南京邮电大学 | Music recommendation method based on social network |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
WO2023051297A1 (en) | Information display method and apparatus, electronic device, and storage medium | |
WO2008150993A1 (en) | System and method for configuring a client electronic device | |
WO2007149329A2 (en) | Enforced delay of access to digital content | |
CN106843791A (en) | Multi-screen display method and device | |
JP2010530163A (en) | Method and apparatus for providing multimedia content to mobile devices | |
EP2833280A2 (en) | Method for automatically storing new media | |
CN103442001A (en) | Information recommendation method, device and server | |
CN110069459B (en) | File monitoring method and device and electronic equipment | |
US20230036192A1 (en) | Live audio advertising bidding and moderation system | |
WO2017124394A1 (en) | Method for automatically recommending resources by vehicle-mounted computer and recommendation system | |
CN106850574B (en) | Message transmission method and system, sending end equipment and receiving end equipment | |
US7275091B2 (en) | Cataloging radio stations | |
WO2017124385A1 (en) | Method for automatically recommending resources by vehicle-mounted computer on basis of district, and recommendation system | |
WO2017124391A1 (en) | Method for automatically recommending resources by vehicle-mounted computer according to weather, and recommendation system | |
WO2017124382A1 (en) | Method for automatically recommending resources by vehicle-mounted computer on basis of vehicle model, and recommendation system | |
WO2022188618A1 (en) | Resource preloading method, apparatus and device, and storage medium | |
WO2017128059A1 (en) | User preference-based automatic video pushing method, and pushing system | |
WO2012077000A1 (en) | Method and apparatus for registering a content provider channel for recommendation of content segments | |
Markoff | Turning the desktop PC into a talk radio medium | |
CN111475749A (en) | Information display target optimization method and device, electronic equipment and readable medium | |
Guinness | Time for truth | |
Kurt et al. | Development of a Mobile News Reader Application Compatible with In-Vehicle Infotainment | |
WO2017124390A1 (en) | Information pushing method during whether-based resource recommendation, and recommendation system | |
Dwivedi | MEDIA HABITS OF YOUNGSTERS IN TIMES OF PANDEMIC: A STUDY OF PODCASTING LISTENERSHIP | |
Thurston | # DigitalPowerups Empowering Students With Choice & Voice in Online Discussions |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
121 | Ep: the epo has been informed by wipo that ep was designated in this application |
Ref document number: 16885667 Country of ref document: EP Kind code of ref document: A1 |
|
NENP | Non-entry into the national phase |
Ref country code: DE |
|
122 | Ep: pct application non-entry in european phase |
Ref document number: 16885667 Country of ref document: EP Kind code of ref document: A1 |