WO2017124262A1 - Method for recommending book by swiping and obtaining identity card information and book recommendation system - Google Patents
Method for recommending book by swiping and obtaining identity card information and book recommendation system Download PDFInfo
- Publication number
- WO2017124262A1 WO2017124262A1 PCT/CN2016/071280 CN2016071280W WO2017124262A1 WO 2017124262 A1 WO2017124262 A1 WO 2017124262A1 CN 2016071280 W CN2016071280 W CN 2016071280W WO 2017124262 A1 WO2017124262 A1 WO 2017124262A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- reader
- book
- unit
- books
- information
- 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 intelligent libraries, and is a method for recommending books by brushing identity card information and a book recommendation system.
- the target of the reader's search may miss important information when the reader browses a large amount of information
- the embodiment of the invention provides a method for recommending a book by brushing the ID card information, and the purpose is to Provide a relatively simple, fast and targeted book retrieval method.
- a method of recommending a book by swiping an ID card information includes the following steps:
- the embodiment of the invention further provides a book recommendation system, comprising:
- a recording unit for recording books in the library and labels corresponding to the various books
- a reading unit for reading the reader's ID information
- a derivation unit wherein the input end is respectively connected to the output end of the recording unit and the output end of the reading unit, and is configured to count the label with the highest number of repetitions according to the borrowing history corresponding to the reader ID card;
- the pushing unit has an input end connected to the output end of the derivation unit for recommending to the reader a book having the most repeated number of tags and not borrowed by the reader.
- the invention allows the book recommendation system by matching the reader information with the recommended bibliography The ability to recognize the reader's reading preferences, so that the reader can accurately recommend the reader, so that the reader can retrieve the most useful information in the shortest time, and find the relevant books as quickly as possible.
- FIG. 1 is a schematic flowchart of a method for recommending a book by brushing an ID card according to an embodiment of the present invention
- FIG. 2 is a schematic structural diagram of a book recommendation system according to an embodiment of the present invention.
- FIG. 1 is a schematic flowchart of a method for recommending a book by brushing ID card information according to an embodiment of the present invention
- step S101 the books in the library and the tags corresponding to the various books are recorded.
- tags can be set here to match multiple different reading needs. Such as setting label 1 (legal), label 2 (accounting), label 3 (movie) and so on.
- step S102 the reader's ID card information is read, and the second generation ID card is required.
- the magnetic induction on the ID card reading device and the second generation ID card can be used to interpret the information recorded on the second generation ID card, such as the ID number and name.
- step S103 According to the borrowing history corresponding to the reader ID card, the label with the highest number of repetitions is counted. If the statistics are used up to the label 1, the reader often borrows the legal books, and if the statistics are used up to the label 3 Then, readers often borrow books from movies.
- step S104 the book having the most repeated number of tags and not borrowed by the reader is recommended to the reader.
- the invention enables the book recommendation system to recognize the reader's reading preferences, thereby automatically recommending the readers accurately, so that the reader can retrieve the most useful information in the shortest time. Find the relevant books as fast as possible.
- FIG. 2 is a schematic structural diagram of a book recommendation system according to an embodiment of the present invention, where the book recommendation system includes:
- the recording unit 21 is configured to record the books in the library and the labels corresponding to the various books;
- the reading unit 22 is configured to read the ID information of the reader
- a derivation unit 23 having an input end and an output end of the recording unit 21 and the reading unit 22
- the output connection is configured to count the label with the most repetition according to the borrowing history corresponding to the reader ID card;
- Push unit 24 its input end and the derivation unit 23
- the output is connected to the reader for recommending the book with the most repeated number of tags and not borrowed by the reader.
- the push unit may be connected through an electronic retrieval platform, and the pushed book catalog may be displayed on the electronic search platform or sent to the mobile phone through the information, which is a prior art.
- the working principle is: the recording unit 21 is used for recording the books in the library and the labels corresponding to the various books; the reading unit 22 For reading the ID information of the reader; the deriving unit 23 is configured to count the label with the most repetition according to the borrowing history corresponding to the reader ID; the pushing unit 24 A book for recommending to the reader that the tag has the most repetitions and has not been borrowed by the reader.
- the invention enables the book recommendation system to recognize the reader's reading preferences, thereby automatically recommending the readers accurately, so that the reader can retrieve the most useful information in the shortest time. Find the relevant books as fast as possible.
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
A method for recommending a book by swiping and obtaining identity card information and a book recommendation system. The method comprises: recording books in a library and labels corresponding to various types of books (S101); reading information about an identity card of a reader (S102); according to a lending history corresponding to the identity card of the reader, making statistics on a label with the maximum number of repetition times (S103); and recommending, to the reader, a book with the label having the maximum number of repetition times not having been borrowed by the reader (S104). The system comprises: a recording unit (21), a reading unit (22), a deducing unit (23) and a pushing unit (24). By matching reader information with a recommendation book list, a book recommendation system is enabled to recognize and memorize reading preferences of a reader so as to automatically provide an accurate recommendation for the reader, so that the reader can retrieve the most useful information within the shortest time, and find relevant books at the fastest speed.
Description
本发明属于智能图书馆领域，是一种 通过刷取身份证信息推荐书籍的方法以及图书推荐系统。 The invention belongs to the field of intelligent libraries, and is a method for recommending books by brushing identity card information and a book recommendation system.
深圳市作为创新城市，知识更新迭代加快，图书馆使用效率明显高于全国其他地区，但是图书馆的智能配置与全国其他城市没有很大差别，依然是客户输入检索字段，根据关键字搜索相关库存书目，以时间排序或字母排序的方式进行排列，读者在相关一系列书目中查找自己所需要的内容。As an innovative city, Shenzhen has accelerated the iteration of knowledge update, and the library use efficiency is significantly higher than other parts of the country. However, the intelligent configuration of the library is not very different from other cities in the country. It is still the customer input search field, and search related inventory according to the keyword. The bibliography is arranged in a time-sorted or alphabetical order, and the reader finds what he or she needs in a series of related bibliographies.
正常情况下，因为关键字输入与图书归类的原因，导致搜索结果范围较广，精确度不够，常常需要耗费读者大量的时间去检索个人真正想要的书籍和资料。Under normal circumstances, because of the keyword input and the classification of books, the search results are wide-ranging and the accuracy is not enough. It often takes a lot of time for the reader to retrieve the books and materials that the person really wants.
如果时间较为宽松，读者大可慢慢寻找，但是深圳作为快节奏城市，读者时间珍贵，传统图书馆检索系统存在以下问题：If the time is more relaxed, readers can look for it slowly, but Shenzhen is a fast-paced city, and readers are precious. The traditional library retrieval system has the following problems:
1、 因检索结果庞杂，读者的检索的目标在读者浏览大量信息时可能会遗漏真正想要的重要信息；1. Due to the complexity of the search results, the target of the reader's search may miss important information when the reader browses a large amount of information;
2、 因为并不了解此类图书最新更新情况，可能检索的书籍版本陈旧，与当下最新发展态势脱节。2. Because you don't know the latest update of such books, the version of the books that may be retrieved is outdated and out of touch with the latest developments.
综上，针对图书馆对客户推荐书目不精确，用户体验不佳的现状，需要提供一种比较简单的，能够提供快速且有针对性的图书检索方法。In summary, in view of the current inaccuracy of the library's recommended bibliography and poor user experience, it is necessary to provide a relatively simple and fast and targeted method for searching books.
本发明实施例提供了一种通过刷取身份证信息推荐书籍的方法 ， 目的在于
提供一种比较简单的，能够提供快速且有针对性的图书检索方法。 The embodiment of the invention provides a method for recommending a book by brushing the ID card information, and the purpose is to
Provide a relatively simple, fast and targeted book retrieval method.
本发明是这样实现的： 一种 通过刷取身份证信息推荐书籍的方法 ， 包括以下步骤： The present invention is implemented as follows: A method of recommending a book by swiping an ID card information includes the following steps:
记录图书馆中的图书以及各类图书所对应的标签； Record the books in the library and the labels corresponding to the various books;
读取读者身份证信息； Read the reader ID information;
根据所述读者身份证对应的借阅历史，统计出重复次数最多的标签； Counting the label with the most repetition according to the borrowing history corresponding to the reader ID card;
向读者推荐具有所述重复次数最多的标签且没有被该读者借阅过的图书。 The book with the most repeated number of tags and not borrowed by the reader is recommended to the reader.
本发明实施例还提供了一种 图书推荐系统 ，包括： The embodiment of the invention further provides a book recommendation system, comprising:
记录单元，用于记录图书馆中的图书以及各类图书所对应的标签； a recording unit for recording books in the library and labels corresponding to the various books;
读取单元，用于读取读者的身份证信息； a reading unit for reading the reader's ID information;
推导单元，其输入端分别与所述记录单元的输出端以及所述读取单元的输出端连接，用于根据所述读者身份证对应的借阅历史，统计出重复次数最多的标签；
a derivation unit, wherein the input end is respectively connected to the output end of the recording unit and the output end of the reading unit, and is configured to count the label with the highest number of repetitions according to the borrowing history corresponding to the reader ID card;
推送单元，其输入端与所述推导单元的输出端连接，用于向读者推荐具有所述重复次数最多的标签且没有被该读者借阅过的图书。
The pushing unit has an input end connected to the output end of the derivation unit for recommending to the reader a book having the most repeated number of tags and not borrowed by the reader.
该发明通过将读者信息与推荐书目相匹配，让 图书推荐系统
能够识记读者的阅读偏好，从而能自动为读者进行精准性推荐，让读者能够在最短的时间，检索出最有用的信息，以最快速度找到相关书籍。 The invention allows the book recommendation system by matching the reader information with the recommended bibliography
The ability to recognize the reader's reading preferences, so that the reader can accurately recommend the reader, so that the reader can retrieve the most useful information in the shortest time, and find the relevant books as quickly as possible.
图 1 是本发明实施例提供的 一种 通过刷取身份证信息推荐书籍方法 的流程示意图 ； FIG. 1 is a schematic flowchart of a method for recommending a book by brushing an ID card according to an embodiment of the present invention; FIG.
图 2 是本发明实施例提供的图书推荐系统的结构示意图。 FIG. 2 is a schematic structural diagram of a book 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 通过刷取身份证信息推荐书籍方法 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 method for recommending a book by brushing ID card information according to an embodiment of the present invention; FIG.
For the convenience of description, only parts related to the embodiment of the present invention are shown.
在步骤 S101 中 记录图书馆中的图书以及各类图书所对应的标签。 In step S101, the books in the library and the tags corresponding to the various books are recorded.
由于不同的图书是为了满足不同读者的使用需求，所以此处可以设置不同的标签，以匹配多个不同的阅读需求。如设置标签 1 （法律），标签 2 （会计），标签 3
（电影）等。
Since different books are designed to meet the needs of different readers, different tags can be set here to match multiple different reading needs. Such as setting label 1 (legal), label 2 (accounting), label 3
(movie) and so on.
在步骤 S102 中，读取读者的身份证信息，需是二代身份证。 In step S102, the reader's ID card information is read, and the second generation ID card is required.
根据现有技术，只需在身份证读取装置上与二代身份证进行磁感应即可解读出二代身份证上记录的信息，如身份证号码、姓名等。
According to the prior art, only the magnetic induction on the ID card reading device and the second generation ID card can be used to interpret the information recorded on the second generation ID card, such as the ID number and name.
在步骤 S103
中，根据所述读者身份证对应的借阅历史，统计出重复次数最多的标签，如统计出使用最多是标签 1 ，那么读者经常借阅的便是法律类书籍，如果统计使用最多是标签 3
，那么读者经常借阅的便是电影类的书籍。 In step S103
According to the borrowing history corresponding to the reader ID card, the label with the highest number of repetitions is counted. If the statistics are used up to the label 1, the reader often borrows the legal books, and if the statistics are used up to the label 3
Then, readers often borrow books from movies.
在步骤 S104 中，向读者推荐具有所述重复次数最多的标签且没有被该读者借阅过的图书。 In step S104, the book having the most repeated number of tags and not borrowed by the reader is recommended to the reader.
该发明通过将读者信息与推荐书目相匹配，让图书推荐系统能够识记读者的阅读偏好，从而能自动为读者进行精准性推荐，让读者能够在最短的时间，检索出最有用的信息，以最快速度找到相关书籍。
By matching the reader information with the recommended bibliography, the invention enables the book recommendation system to recognize the reader's reading preferences, thereby automatically recommending the readers accurately, so that the reader can retrieve the most useful information in the shortest time. Find the relevant books as fast as possible.
图 2 是本发明实施例提供的一种 图书推荐系统 的结构示意图，该图书推荐系统包括 ： 2 is a schematic structural diagram of a book recommendation system according to an embodiment of the present invention, where the book recommendation system includes:
记录单元 21 ，读取单元 22 ，推导单元 23 ，推送单元 24 ，其中， a recording unit 21, a reading unit 22, a deriving unit 23, and a pushing unit 24, wherein
记录单元 21 ，用于记录图书馆中的图书以及各类图书所对应的标签； The recording unit 21 is configured to record the books in the library and the labels corresponding to the various books;
读取单元 22 ，用于读取读者的身份证信息； The reading unit 22 is configured to read the ID information of the reader;
推导单元 23 ，其输入端分别与所述记录单元 21 的输出端以及所述读取单元 22
的输出端连接，用于根据所述读者身份证对应的借阅历史，统计出重复次数最多的标签； a derivation unit 23 having an input end and an output end of the recording unit 21 and the reading unit 22
The output connection is configured to count the label with the most repetition according to the borrowing history corresponding to the reader ID card;
推送单元 24 ，其输入端与所述推导单元 23
的输出端连接，用于向读者推荐具有所述重复次数最多的标签且没有被该读者借阅过的图书。 Push unit 24, its input end and the derivation unit 23
The output is connected to the reader for recommending the book with the most repeated number of tags and not borrowed by the reader.
所述推送单元可通过电子检索平台连接，将推送的书籍目录在电子检索平台上显示，也可以通过信息发送到手机上，该技术为现有技术。
The push unit may be connected through an electronic retrieval platform, and the pushed book catalog may be displayed on the electronic search platform or sent to the mobile phone through the information, which is a prior art.
其工作原理是：记录单元 21 用于记录图书馆中的图书以及各类图书所对应的标签；读取单元 22
用于读取读者的身份证信息；推导单元 23 用于根据所述读者身份证对应的借阅历史，统计出重复次数最多的标签；推送单元 24
用于向读者推荐具有所述重复次数最多的标签且没有被该读者借阅过的图书。 The working principle is: the recording unit 21 is used for recording the books in the library and the labels corresponding to the various books; the reading unit 22
For reading the ID information of the reader; the deriving unit 23 is configured to count the label with the most repetition according to the borrowing history corresponding to the reader ID; the pushing unit 24
A book for recommending to the reader that the tag has the most repetitions and has not been borrowed by the reader.
该发明通过将读者信息与推荐书目相匹配，让图书推荐系统能够识记读者的阅读偏好，从而能自动为读者进行精准性推荐，让读者能够在最短的时间，检索出最有用的信息，以最快速度找到相关书籍。
By matching the reader information with the recommended bibliography, the invention enables the book recommendation system to recognize the reader's reading preferences, thereby automatically recommending the readers accurately, so that the reader can retrieve the most useful information in the shortest time. Find the relevant books as fast as possible.
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)
- 一种通过刷取身份证信息推荐书籍的方法 ，其特征在于，所述方法包括如下步骤： A method for recommending a book by swiping an ID card information, characterized in that the method comprises the following steps:记录图书馆中的图书以及各类图书所对应的标签；Record the books in the library and the labels corresponding to the various books;读取读者身份证信息；Read the reader ID information;根据所述读者身份证对应的借阅历史，统计出重复次数最多的标签；Counting the label with the most repetition according to the borrowing history corresponding to the reader ID card;向读者推荐具有所述重复次数最多的标签且没有被该读者借阅过的图书。The book with the most repeated number of tags and not borrowed by the reader is recommended to the reader.
- 一种 图书推荐系统 ，其特征在于，所述 系统 包括：A book recommendation system, characterized in that the system comprises:记录单元，读取单元、推导单元、推送单元，其中：a recording unit, a reading unit, a derivation unit, and a pushing unit, wherein:记录单元，用于记录图书馆中的图书以及各类图书所对应的标签；a recording unit for recording books in the library and labels corresponding to the various books;读取单元，用于读取读者的身份证信息；a reading unit for reading the reader's ID information;推导单元，其输入端分别与所述记录单元的输出端以及所述读取单元的输出端连接，用于根据所述读者身份证对应的借阅历史，统计出重复次数最多的标签；a derivation unit, wherein the input end is respectively connected to the output end of the recording unit and the output end of the reading unit, and is configured to count the label with the highest number of repetitions according to the borrowing history corresponding to the reader ID card;推送单元，其输入端与所述推导单元的输出端连接，用于向读者推荐具有所述重复次数最多的标签且没有被该读者借阅过的图书。The pushing unit has an input end connected to the output end of the derivation unit for recommending to the reader a book having the most repeated number of tags and not borrowed by the reader.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/CN2016/071280 WO2017124262A1 (en) | 2016-01-18 | 2016-01-18 | Method for recommending book by swiping and obtaining identity card information and book recommendation system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/CN2016/071280 WO2017124262A1 (en) | 2016-01-18 | 2016-01-18 | Method for recommending book by swiping and obtaining identity card information and book recommendation system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| WO2017124262A1 true WO2017124262A1 (en) | 2017-07-27 |
Family
ID=59361206
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| PCT/CN2016/071280 WO2017124262A1 (en) | 2016-01-18 | 2016-01-18 | Method for recommending book by swiping and obtaining identity card information and book recommendation system |
Country Status (1)
| Country | Link |
|---|---|
| WO (1) | WO2017124262A1 (en) |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108510672A (en) * | 2018-02-26 | 2018-09-07 | 上海千简网络科技有限公司 | A kind of mobile book management system and method |
| CN109636211A (en) * | 2018-12-19 | 2019-04-16 | 淄博职业学院 | Books automatic management system and its management method based on mobile Internet of Things |
| CN110674448A (en) * | 2019-09-27 | 2020-01-10 | 浙江树联智能科技有限公司 | Book pushing method and device |
| CN111581372A (en) * | 2020-05-09 | 2020-08-25 | 蓝辉 | Reader behavior analysis method and device |
| CN111859131A (en) * | 2020-07-21 | 2020-10-30 | 山东省科院易达科技咨询有限公司 | Personalized information recommendation method and information recommendation system under multiple constraint conditions |
| CN114912556A (en) * | 2022-05-31 | 2022-08-16 | 广东海洋大学 | Book information management system and method based on cloud computing and storage medium |
| CN116578726A (en) * | 2023-07-10 | 2023-08-11 | 悦读天下(北京)国际教育科技有限公司 | Personalized book recommendation system |
| CN117035245A (en) * | 2023-10-10 | 2023-11-10 | 湖北中文在线数字出版有限公司 | Book borrowing method and system based on digital person |
| CN117217505A (en) * | 2023-11-09 | 2023-12-12 | 青岛中科力天网络科技有限公司 | Resource management system based on book field |
| CN117407594A (en) * | 2023-12-12 | 2024-01-16 | 山东大学 | Book information recommendation system |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110197166A1 (en) * | 2010-02-05 | 2011-08-11 | Fuji Xerox Co., Ltd. | Method for recommending enterprise documents and directories based on access logs |
| CN102254003A (en) * | 2011-07-15 | 2011-11-23 | 江苏大学 | Book recommendation method |
| CN102902744A (en) * | 2012-09-17 | 2013-01-30 | 杭州东信北邮信息技术有限公司 | Book recommendation method |
| CN103176982A (en) * | 2011-12-20 | 2013-06-26 | 中国移动通信集团浙江有限公司 | Recommending method and recommending system of electronic book |
| CN103366009A (en) * | 2013-07-24 | 2013-10-23 | 杭州东信北邮信息技术有限公司 | Book recommendation method based on self-adaption clustering |
| CN104111939A (en) * | 2013-04-18 | 2014-10-22 | 中国移动通信集团浙江有限公司 | Book recommending method and device |
-
2016
- 2016-01-18 WO PCT/CN2016/071280 patent/WO2017124262A1/en active Application Filing
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110197166A1 (en) * | 2010-02-05 | 2011-08-11 | Fuji Xerox Co., Ltd. | Method for recommending enterprise documents and directories based on access logs |
| CN102254003A (en) * | 2011-07-15 | 2011-11-23 | 江苏大学 | Book recommendation method |
| CN103176982A (en) * | 2011-12-20 | 2013-06-26 | 中国移动通信集团浙江有限公司 | Recommending method and recommending system of electronic book |
| CN102902744A (en) * | 2012-09-17 | 2013-01-30 | 杭州东信北邮信息技术有限公司 | Book recommendation method |
| CN104111939A (en) * | 2013-04-18 | 2014-10-22 | 中国移动通信集团浙江有限公司 | Book recommending method and device |
| CN103366009A (en) * | 2013-07-24 | 2013-10-23 | 杭州东信北邮信息技术有限公司 | Book recommendation method based on self-adaption clustering |
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108510672A (en) * | 2018-02-26 | 2018-09-07 | 上海千简网络科技有限公司 | A kind of mobile book management system and method |
| CN109636211A (en) * | 2018-12-19 | 2019-04-16 | 淄博职业学院 | Books automatic management system and its management method based on mobile Internet of Things |
| CN110674448A (en) * | 2019-09-27 | 2020-01-10 | 浙江树联智能科技有限公司 | Book pushing method and device |
| CN111581372A (en) * | 2020-05-09 | 2020-08-25 | 蓝辉 | Reader behavior analysis method and device |
| CN111859131A (en) * | 2020-07-21 | 2020-10-30 | 山东省科院易达科技咨询有限公司 | Personalized information recommendation method and information recommendation system under multiple constraint conditions |
| CN114912556A (en) * | 2022-05-31 | 2022-08-16 | 广东海洋大学 | Book information management system and method based on cloud computing and storage medium |
| CN116578726A (en) * | 2023-07-10 | 2023-08-11 | 悦读天下(北京)国际教育科技有限公司 | Personalized book recommendation system |
| CN116578726B (en) * | 2023-07-10 | 2023-09-29 | 悦读天下(北京)国际教育科技有限公司 | Personalized book recommendation system |
| CN117035245A (en) * | 2023-10-10 | 2023-11-10 | 湖北中文在线数字出版有限公司 | Book borrowing method and system based on digital person |
| CN117035245B (en) * | 2023-10-10 | 2023-12-26 | 湖北中文在线数字出版有限公司 | Book borrowing method and system based on digital person |
| CN117217505A (en) * | 2023-11-09 | 2023-12-12 | 青岛中科力天网络科技有限公司 | Resource management system based on book field |
| CN117407594A (en) * | 2023-12-12 | 2024-01-16 | 山东大学 | Book information recommendation system |
| CN117407594B (en) * | 2023-12-12 | 2024-03-12 | 山东大学 | Book information recommendation system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| WO2017124262A1 (en) | Method for recommending book by swiping and obtaining identity card information and book recommendation system | |
| WO2012020974A2 (en) | Method and apparatus for providing information about an identified object | |
| WO2018074716A1 (en) | Method and system for recommending query by using search context | |
| CN102576373A (en) | Content management device, method of content management, content management program and integrated circuit | |
| WO2010123264A2 (en) | Online community post search method and apparatus based on interactions between online community users and computer readable storage medium storing program thereof | |
| WO2011099688A1 (en) | Method for managing a personalized social network map in an application server which provides personalized content, and program recording medium for executing the method | |
| WO2017124263A1 (en) | Information pushing method when book is recommended and book recommendation system | |
| WO2017124264A1 (en) | Information collection method when book is recommended and book recommendation system | |
| WO2017128146A1 (en) | Video recommending method based on identification certificate and recommendation system | |
| CN101874243A (en) | Map information processing device | |
| WO2024048907A1 (en) | Method, computer device, and computer program for item ledger platform | |
| CN109359285A (en) | It is a kind of to add dub in background music method, apparatus, terminal and computer readable storage medium | |
| WO2024048908A1 (en) | Method, computer device and computer program for providing refined item information through item ledger platform | |
| WO2012108608A1 (en) | System and method for searching through information | |
| WO2018035697A1 (en) | Method and system for searching for house listings on internet | |
| WO2018027341A1 (en) | Category-based keyword searching method and system in big data | |
| WO2018023480A1 (en) | Keyword classification-based search method and system in big data | |
| Castledine | Accepting the diversity of overseas nurses | |
| WO2018027464A1 (en) | Implementation method and system for different parts of speech in big data search | |
| WO2018027343A1 (en) | Method and system for implementing voice search | |
| Castledine | Staff nurse who wore her uniform off duty to steal from hospital | |
| WO2018023484A1 (en) | Method and system of implementing search of different parts of speech in big data | |
| WO2018032341A1 (en) | Personalized app sorting method and system | |
| WO2018023482A1 (en) | Method and system for implementing voice search | |
| Castledine | Students must develop a professional identity |
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: 16885535 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: 16885535 Country of ref document: EP Kind code of ref document: A1 |