WO2018018519A1 - 根据使用情况停止自动分组的方法以及分组*** - Google Patents
根据使用情况停止自动分组的方法以及分组*** Download PDFInfo
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- WO2018018519A1 WO2018018519A1 PCT/CN2016/092126 CN2016092126W WO2018018519A1 WO 2018018519 A1 WO2018018519 A1 WO 2018018519A1 CN 2016092126 W CN2016092126 W CN 2016092126W WO 2018018519 A1 WO2018018519 A1 WO 2018018519A1
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- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
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- the present invention belongs to the field of mobile phone apps, and more particularly to a method and a packet system for stopping automatic grouping according to usage.
- the research of artificial intelligence is now at the forefront, but the general research stage. Among them, the research and application of weak artificial intelligence is the most popular.
- the so-called weak artificial intelligence is embodied in some single and repetitive work.
- the humans pre-set the relevant rules and trigger conditions through the computer. When the actual situation meets these trigger conditions, the hardware or software system will make stress. A series of reactions.
- a method is needed to be able to use the product to respond to big data in the cloud, and to adjust the technology in the product in time according to feedback from the market.
- the present invention needs to manually set a poor user experience for the current WeChat buddy grouping, and needs to provide a By pre-setting the WeChat buddy grouping and the corresponding keywords of the grouping, when the user chats with the WeChat buddy, when the number of occurrences of the keyword exceeds a certain number, the buddy is automatically grouped, which is convenient for the user to count the WeChat buddy type, and is also convenient for the user to search for WeChat according to the grouping. Friends can also terminate the application of this technology when most users disable the technology.
- a method of stopping automatic grouping according to usage comprising the following steps:
- the embodiment of the invention further provides a grouping system, the grouping system comprising:
- a recording unit a detecting unit, a grouping unit, a feedback receiving unit, and a technical adjustment unit, wherein:
- a recording unit configured to record a keyword matched by the WeChat buddy group and a threshold number of occurrences of the keyword
- a detecting unit configured to count the number of times the keyword appears when the user chats with the WeChat friend
- a grouping unit wherein the input ends are respectively connected to the recording unit and the detecting unit output end, and configured to: when the number of occurrences of the keyword exceeds a threshold number of occurrences of the keyword, set the WeChat friend to match the keyword Group of friends;
- a feedback receiving unit wherein the input end is connected to the output unit of the grouping unit, and is used for reading the usage of the technology by other users through the cloud data;
- the technical adjustment unit has an input end connected to the output of the feedback receiving unit, and is configured to stop automatic grouping according to the keyword when the number of users who turn off the technology exceeds a certain threshold.
- the invention pre-sets the WeChat buddy grouping and the keyword corresponding to the grouping.
- the buddy is automatically grouped, which is convenient for the user to count the WeChat buddy type, and is also convenient for the user to group according to the grouping. Finding WeChat friends can also terminate the application of this technology when most users disable the technology.
- FIG. 1 is a schematic flowchart of a method for stopping automatic grouping according to usage conditions according to an embodiment of the present invention
- FIG. 2 is a schematic structural diagram of a grouping system according to an embodiment of the present invention.
- FIG. 1 is a schematic flowchart of a method for stopping automatic grouping according to usage conditions 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 keyword matched by the WeChat buddy group and the threshold number of occurrences of the keyword are recorded.
- the 'colleague' group is set, and the corresponding keyword is 'item', and the threshold is 10.
- step S101 when the user chats with the WeChat friend, the number of times the keyword appears is counted.
- step S102 when the number of occurrences of the keyword exceeds a threshold number of occurrences of the keyword, setting the WeChat friend as a buddy group that matches the keyword.
- step S103 In the cloud data to read the use of the technology by other users, when other users turn off or disable the technology, the relevant data will be uploaded to the cloud to save;
- the 'technique' in this embodiment refers specifically to several steps before this step.
- step S104 In the case that the number of users who turn off the technology exceeds a certain threshold, it indicates that the technology has low market acceptance and belongs to niche technology with special needs, so it stops automatically grouping according to keywords, if specific users need it, then Open by setting yourself .
- the invention pre-sets the WeChat buddy grouping and the keyword corresponding to the grouping.
- the buddy is automatically grouped, which is convenient for the user to count the WeChat buddy type, and is also convenient for the user to group according to the grouping. Finding WeChat friends can also terminate the application of this technology when most users disable the technology.
- FIG. 2 is a schematic structural diagram of a grouping system according to an embodiment of the present invention, where the grouping system includes:
- the recording unit 21 is configured to record a keyword matched by the WeChat buddy group and a threshold number of occurrences of the keyword;
- the detecting unit 22 is configured to count the number of times the keyword appears when the user chats with the WeChat friend;
- a grouping unit 23 having input terminals and a recording unit 21 and a detecting unit 22, respectively The output end is configured to set the WeChat friend as a friend group matching the keyword when the number of occurrences of the keyword exceeds a threshold number of occurrences of the keyword;
- Feedback receiving unit 24 its input end and grouping unit 23 The output is connected to read other users' usage of the technology through cloud data;
- Technical adjustment unit 25 its input end and feedback receiving unit 24
- the output is connected to stop automatic grouping by keyword when the number of users who turn off the technology exceeds a certain threshold.
- the working principle is: the recording unit 21 records the keyword matched by the WeChat buddy group and the threshold number of occurrences of the keyword; the detecting unit 22 , when the user chats with WeChat friends, counts the number of times the keyword appears; grouping unit 23 And when the number of occurrences of the keyword exceeds a threshold number of occurrences of the keyword, setting the WeChat friend as a buddy group matching the keyword, and the feedback receiving unit 24
- the usage of the technology by other users is read by the cloud data; when the number of users who turn off the technology exceeds a certain threshold, the technical adjustment unit 25 stops automatically grouping according to the keywords.
- the invention pre-sets the WeChat buddy grouping and the keyword corresponding to the grouping.
- the buddy is automatically grouped, which is convenient for the user to count the WeChat buddy type, and is also convenient for the user to group according to the grouping. Finding WeChat friends can also terminate the application of this technology when most users disable the technology.
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Abstract
本发明属于手机 app 领域,提供了一种根据使用情况停止自动分组的方法以及分组***,所述方法包括:记录微信好友分组匹配的关键字及关键字出现的次数阈值; 当用户与微信好友聊天时,统计关键字出现的次数;当所述关键字出现的次数超过所述关键字出现的次数阈值时,将该微信好友设置为与所述关键字匹配的好友分组;通过云端数据读取其他用户对该项技术的使用情况;当关闭该项技术的用户的数量超过特定阈值时,停止根据关键字自动分组。该发明方便用户统计微信好友类型,也能够在大多数用户停用该项技术时,终止该项技术的应用。
Description
本发明属于手机 app 领域,尤其是涉及 一种根据使用情况停止自动分组的方法以及分组*** 。
人工智能 ( Artificial Intelligence ), 英文 缩写为 AI 。它是 研究 、
开发 用于 模拟 、 延伸 和扩展人的 智能 的理论、方法、技术及应用***的一门新的技术科学。
现在人工智能的研究属于前沿,但普遍研究阶段。其中以弱人工智能的研究和应用最为普及。所谓弱人工智能体现在某些单一、重复性的工作上面,由人类通过计算机预先设置好相关的规则和触发条件,当现实情况满足这些触发条件时,硬件或软件***将会应激地做出一系列反应。
在弱人工智能的研究和应用上,人们希望通过上述'定规则 -
应激反应'的方式,帮助人类处理重复性大、可预测性大的工作。同时,也希望人工智能能够识别和学习特定用户的价值取向。
在本人的上一个申请《微信好友根据聊天关键字自动分组的方法以及分组***》中,提出了一个弱人工智能的解决方案,但是该方案仅仅是研发阶段所假设的'用户需求',针对于实际使用情况,尤其针对于特定个体用户,该方案是否具有价值或者能否取悦特定个体用户则根据个体用户的不同有所区别。
同时,针对于一项未经市场检验的技术,如果用户不喜欢而要关闭的话,往往很费事,用户必须要在设置菜单或者选项里面调试半天方能关闭,这就为特定的用户造成了操作上的负担。
同时,是否能考虑市场反馈再做调整呢?这样做往往不实际,因为一批产品可能上千或者几十万件一起制造和发售,如果要先市场评估,再调整某项技术的话,时间上往往无法兼顾。
综上,需要一种方法,能够采用产品回复云端的大数据,并根据市场上的反馈,能够及时对产品中的技术进行调整。
本发明实施针对当前微信好友分组需要手工设置用户体验差的情况,需要提供一种
通过预先设置微信好友分组及分组对应的关键字,当用户与微信好友聊天时,关键字出现次数超过一定数量时,自动将该好友分组,方便用户统计微信好友类型,也方便用户根据分组查找微信好友,也能够在大多数用户停用该项技术时,终止该项技术的应用。
本发明是这样实现的: 一种根据使用情况停止自动分组的方法 ,包括以下步骤:
记录微信好友分组匹配的关键字及关键字出现的次数阈值 ;
当用户与微信好友聊天时,统计关键字出现的次数;
当所述关键字出现的次数超过所述关键字出现的次数阈值时,将该微信好友设置为与所述关键字匹配的好友分组;
通过云端数据读取其他用户对该项技术的使用情况;
当关闭该项技术的用户的数量超过特定阈值时,停止根据关键字自动分组。
本发明实施例还提供了分组***,所述分组***包括:
记录单元,检测单元,分组单元,反馈接收单元,技术调整单元,其中:
记录单元,用于记录微信好友分组匹配的关键字及关键字出现的次数阈值;
检测单元,用于当用户与微信好友聊天时,统计关键字出现的次数;
分组单元,其输入端分别与记录单元及检测单元输出端连接,用于当所述关键字出现的次数超过所述关键字出现的次数阈值时,将该微信好友设置为与所述关键字匹配的好友分组;
反馈接收单元,其输入端与分组单元输出端连接,用于通过云端数据读取其他用户对该项技术的使用情况;
技术调整单元,其输入端与反馈接收单元输出端连接,用于当关闭该项技术的用户的数量超过特定阈值时,停止根据关键字自动分组。
该发明通过预先设置微信好友分组及分组对应的关键字,当用户与微信好友聊天时,关键字出现次数超过一定数量时,自动将该好友分组,方便用户统计微信好友类型,也方便用户根据分组查找微信好友,也能够在大多数用户停用该项技术时,终止该项技术的应用。
图 1 是本发明实施例提供的一种根据使用情况停止自动分组的方法 的流程示意图 ;
图 2 是本发明实施例提供的分组***的结构示意图。
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。
图 1 是本发明实施例提供的一种根据使用情况停止自动分组的方法 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。
在步骤 S100 中 , 记录微信好友分组匹配的关键字及关键字出现的次数阈值。
在本实用例中设置 '同事'分组,对应的关键字为'项目',阈值为 10 。
在步骤 S101 中 , 当用户与微信好友聊天时,统计关键字出现的次数。
在步骤 S102
中,当所述关键字出现的次数超过所述关键字出现的次数阈值时,将该微信好友设置为与所述关键字匹配的好友分组。
当用户与某微信好友聊天信息中包含'项目'次数出现过 10
次时,将该微信好友设置为'同事'分组。
在步骤 S103
中,通过云端数据读取其他用户对该项技术的使用情况,当其他用户关闭或停用该项技术时,相关数据将上传云端保存;
本实施例中的'该项技术',特指本步骤之前的几个步骤。
在步骤 S104
中,当关闭该项技术的用户的数量超过特定阈值时,说明该项技术的市场认可度较低,属于有特殊需要的小众技术,所以停止根据关键字自动分组,如果特定用户需要,再通过设置自行开启
。
该发明通过预先设置微信好友分组及分组对应的关键字,当用户与微信好友聊天时,关键字出现次数超过一定数量时,自动将该好友分组,方便用户统计微信好友类型,也方便用户根据分组查找微信好友,也能够在大多数用户停用该项技术时,终止该项技术的应用。
图 2 是本发明实施例提供的分组***的结构示意图,所述分组***包括:
记录单元 21 ,检测单元 22 ,分组单元 23 ,反馈接收单元 24 ,技术调整单元 25
,其中:
记录单元 21 ,用于记录微信好友分组匹配的关键字及关键字出现的次数阈值;
检测单元 22 ,用于当用户与微信好友聊天时,统计关键字出现的次数;
分组单元 23 ,其输入端分别与记录单元 21 及检测单元 22
输出端连接,用于当所述关键字出现的次数超过所述关键字出现的次数阈值时,将该微信好友设置为与所述关键字匹配的好友分组;
反馈接收单元 24 ,其输入端与分组单元 23
输出端连接,用于通过云端数据读取其他用户对该项技术的使用情况;
技术调整单元 25 ,其输入端与反馈接收单元 24
输出端连接,用于当关闭该项技术的用户的数量超过特定阈值时,停止根据关键字自动分组。
其工作原理是:记录单元 21 ,记录微信好友分组匹配的关键字及关键字出现的次数阈值;检测单元 22
,当用户与微信好友聊天时,统计关键字出现的次数;分组单元 23
,当所述关键字出现的次数超过所述关键字出现的次数阈值时,将该微信好友设置为与所述关键字匹配的好友分组,反馈接收单元 24
通过云端数据读取其他用户对该项技术的使用情况;当关闭该项技术的用户的数量超过特定阈值时,技术调整单元 25 停止根据关键字自动分组。
该发明通过预先设置微信好友分组及分组对应的关键字,当用户与微信好友聊天时,关键字出现次数超过一定数量时,自动将该好友分组,方便用户统计微信好友类型,也方便用户根据分组查找微信好友,也能够在大多数用户停用该项技术时,终止该项技术的应用。
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。
Claims (2)
- 一种根据使用情况停止自动分组的方法,其特征在于,所述方法包括如下步骤:记录微信好友分组匹配的关键字及关键字出现的次数阈值 ;当用户与微信好友聊天时,统计关键字出现的次数;当所述关键字出现的次数超过所述关键字出现的次数阈值时,将该微信好友设置为与所述关键字匹配的好友分组;通过云端数据读取其他用户对该项技术的使用情况;当关闭该项技术的用户的数量超过特定阈值时,停止根据关键字自动分组。
- 一种分组***,其特征在于,所述分组***包括:记录单元,检测单元,分组单元,反馈接收单元,技术调整单元,其中:记录单元,用于记录微信好友分组匹配的关键字及关键字出现的次数阈值;检测单元,用于当用户与微信好友聊天时,统计关键字出现的次数;分组单元,其输入端分别与记录单元及检测单元输出端连接,用于当所述关键字出现的次数超过所述关键字出现的次数阈值时,将该微信好友设置为与所述关键字匹配的好友分组;反馈接收单元,其输入端与分组单元输出端连接,用于通过云端数据读取其他用户对该项技术的使用情况;技术调整单元,其输入端与反馈接收单元输出端连接,用于当关闭该项技术的用户的数量超过特定阈值时,停止根据关键字自动分组。
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