CN113706260A - E-commerce platform commodity recommendation method and device based on search content - Google Patents
E-commerce platform commodity recommendation method and device based on search content Download PDFInfo
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Abstract
The application relates to the technical field of electronic commerce, and discloses a search content-based E-commerce platform commodity recommendation method and device. In the method, firstly, user input information is obtained, word segmentation processing and keyword extraction processing are sequentially carried out, and an input information keyword set is determined. And then obtaining historical order information of the user, and sequentially performing word segmentation processing and keyword extraction processing to determine a historical information keyword set. And finally, traversing the input information keyword set according to the historical information keyword set, determining a target keyword set, and recommending commodities to the user. According to the method and the device, the user input information is screened through the historical order information of the user, on one hand, commodities which are purchased by the user can be filtered, on the other hand, commodities which are frequently pushed before the user can be filtered, and the online shopping experience of the user is effectively improved.
Description
Technical Field
The application relates to the technical field of electronic commerce, in particular to a search content-based E-commerce platform commodity recommendation method and device.
Background
Since the online shopping is available, people can select commodities which are wanted to be purchased on the internet without going out, and compared with the traditional online shopping, the online shopping is quicker, more convenient and lower in cost. With the continuous development of the e-commerce field, more and more emerging shopping websites start to emerge, and follow this, the same kind of complex and huge number of online commodities follow. Therefore, how to push the commodities which are really interested and have the purchasing desire to the user becomes an important topic.
The current mainstream method recommended by the e-commerce is to obtain input information of a user in a search box of the e-commerce platform, roughly judge a commodity category which the user wants to purchase based on the information, and push corresponding commodities to the user according to a screening mode such as a ranking list and popularity of the commodity category.
However, with the increase of the number of commodity resources, it is difficult for the user to quickly and conveniently find out satisfactory commodities, and if the commodities are not filtered and screened, the use experience of the user is greatly influenced, so that the use rate and purchase rate of the user on the e-commerce platform are influenced.
Disclosure of Invention
The application discloses search content-based E-commerce platform commodity recommendation method and device, which are used for solving the technical problems that in the prior art, along with the increase of commodity resource quantity, a user is difficult to quickly and conveniently find satisfied commodities, if the commodities are not filtered and screened, the use experience of the user can be greatly influenced, and then the utilization rate and purchase rate of the user on the E-commerce platform are influenced.
The application discloses a search content-based E-commerce platform commodity recommendation method in a first aspect, which comprises the following steps:
acquiring user input information, wherein the user input information is content input by a user in a search box of an e-commerce platform;
performing word segmentation processing on the user input information to determine an input information element set;
performing keyword extraction processing on the input information element set to determine an input information keyword set;
acquiring historical order information of a user;
performing word segmentation processing on the historical order information of the user to determine a historical information element set;
extracting keywords from the historical information element set to determine a historical information keyword set;
according to the historical information keyword set, performing traversal processing on the input information keyword set to determine a target keyword set;
and recommending commodities to the user according to the target keyword set.
Optionally, the recommending goods to the user according to the target keyword set includes:
acquiring search information of any keyword in the target keyword set;
determining a search result according to the search information of any keyword;
and recommending commodities to the user according to the search result and preset weight parameters.
Optionally, the weighting parameters include a commodity heat value and a commodity sales amount.
Optionally, the historical order information of the user includes purchased order information in the e-commerce platform within three months of the user.
Optionally, the input information keyword set is a disorder array.
Optionally, the historical information keyword set is a disorder array.
The second aspect of the present application discloses a search content-based e-commerce platform commodity recommendation device, which is applied to the search content-based e-commerce platform commodity recommendation method disclosed in the first aspect of the present application, and the search content-based e-commerce platform commodity recommendation device includes:
the system comprises an input information acquisition module, a search module and a search module, wherein the input information acquisition module is used for acquiring user input information, and the user input information is content input by a user in a search box of an e-commerce platform;
the first word segmentation module is used for carrying out word segmentation processing on the user input information and determining an input information element set;
the first keyword extraction module is used for performing keyword extraction processing on the input information element set and determining an input information keyword set;
the historical order information acquisition module is used for acquiring historical order information of the user;
the second word segmentation module is used for performing word segmentation processing on the historical order information of the user and determining a historical information element set;
the second keyword extraction module is used for extracting keywords from the historical information element set and determining a historical information keyword set;
the traversal processing module is used for performing traversal processing on the input information keyword set according to the historical information keyword set and determining a target keyword set;
and the commodity recommendation module is used for recommending commodities to the user according to the target keyword set.
Optionally, the commodity recommending module includes:
a keyword search information acquisition unit for acquiring search information of any keyword in the target keyword set;
the searched result acquisition unit is used for determining a search result according to the search information of any keyword;
and the commodity recommending unit is used for recommending commodities to the user according to the search result and the preset weight parameter.
Optionally, the weighting parameters include a commodity heat value and a commodity sales amount.
Optionally, the historical order information of the user includes purchased order information in the e-commerce platform within three months of the user.
The application relates to the technical field of electronic commerce, and discloses a search content-based E-commerce platform commodity recommendation method and device. In the method, firstly, user input information is obtained, word segmentation processing and keyword extraction processing are sequentially carried out, and an input information keyword set is determined. And then obtaining historical order information of the user, and sequentially performing word segmentation processing and keyword extraction processing to determine a historical information keyword set. And finally, traversing the input information keyword set according to the historical information keyword set, determining a target keyword set, and recommending commodities to the user. According to the method and the device, the user input information is screened through the historical order information of the user, on one hand, commodities which are purchased by the user can be filtered, on the other hand, commodities which are frequently pushed before the user can be filtered, and the online shopping experience of the user is effectively improved.
Drawings
In order to more clearly explain the technical solution of the present application, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious to those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic workflow diagram of a search content-based e-commerce platform commodity recommendation method disclosed in an embodiment of the present application;
fig. 2 is a schematic structural diagram of an e-commerce platform commodity recommendation device based on search content disclosed in an embodiment of the present application.
Detailed Description
In order to solve the technical problems that in the prior art, along with the increase of the quantity of commodity resources, a user is difficult to find satisfied commodities quickly and conveniently, if the commodities are not filtered and screened, the use experience of the user is greatly influenced, and further the use rate and the purchase rate of the user on the e-commerce platform are influenced, the application discloses a search content-based e-commerce platform commodity recommendation method and device through the following two embodiments.
The first embodiment of the present application discloses a search content-based e-commerce platform commodity recommendation method, referring to a workflow diagram shown in fig. 1, the search content-based e-commerce platform commodity recommendation method includes:
step S101, obtaining user input information, wherein the user input information is content input by a user in a search box of the E-commerce platform.
And step S102, performing word segmentation processing on the user input information, and determining an input information element set.
And step S103, performing keyword extraction processing on the input information element set to determine an input information keyword set.
Further, the input information keyword set is a disorder array.
And step S104, acquiring historical order information of the user.
Further, the historical order information of the user comprises the purchased order information of the user in the e-commerce platform within three months.
Step S105, performing word segmentation processing on the historical order information of the user, and determining a historical information element set.
And step S106, carrying out keyword extraction processing on the historical information element set, and determining a historical information keyword set.
Further, the historical information keyword set is a disorder array.
And S107, performing traversal processing on the input information keyword set according to the historical information keyword set, and determining a target keyword set.
And S108, recommending commodities to the user according to the target keyword set.
Further, the recommending goods to the user according to the target keyword set includes:
and acquiring the search information of any keyword in the target keyword set.
And determining a search result according to the search information of any keyword.
And recommending commodities to the user according to the search result and preset weight parameters.
In some embodiments of the present application, the weighting parameters include a commodity heat value, a commodity sales amount, and the like.
Illustratively, if the input information keyword set determined in step S103 is the history information keyword set determined in step S106, and the traversal processing in step S107 is performed, the target keyword set is determined, a search is performed according to the target keyword set, and the search result is recommended to the user.
According to the E-commerce platform commodity recommendation method based on the search content, firstly, user input information is obtained, word segmentation processing and keyword extraction processing are sequentially carried out, and an input information keyword set is determined. And then obtaining historical order information of the user, and sequentially performing word segmentation processing and keyword extraction processing to determine a historical information keyword set. And finally, traversing the input information keyword set according to the historical information keyword set, determining a target keyword set, and recommending commodities to the user. According to the method and the device, the user input information is screened through the historical order information of the user, on one hand, commodities which are purchased by the user can be filtered, on the other hand, commodities which are frequently pushed before the user can be filtered, and the online shopping experience of the user is effectively improved.
The following are embodiments of the apparatus of the present application that may be used to perform embodiments of the method of the present application. For details which are not disclosed in the embodiments of the apparatus of the present application, reference is made to the embodiments of the method of the present application.
The second embodiment of the present application discloses a search content-based e-commerce platform commodity recommendation device, which is applied to the search content-based e-commerce platform commodity recommendation method disclosed in the first embodiment of the present application, and referring to a schematic structural diagram shown in fig. 2, the search content-based e-commerce platform commodity recommendation device includes:
the input information acquiring module 10 is configured to acquire user input information, where the user input information is content input by a user in a search box of the e-commerce platform.
And the first word segmentation module 20 is configured to perform word segmentation processing on the user input information, and determine an input information element set.
And the first keyword extraction module 30 is configured to perform keyword extraction processing on the input information element set, and determine an input information keyword set.
And a historical order information obtaining module 40, configured to obtain historical order information of the user.
Further, the historical order information of the user comprises the purchased order information of the user in the e-commerce platform within three months.
And the second word segmentation module 50 is configured to perform word segmentation processing on the historical order information of the user, and determine a historical information element set.
And a second keyword extraction module 60, configured to perform keyword extraction processing on the historical information element set, and determine a historical information keyword set.
And a traversal processing module 70, configured to perform traversal processing on the input information keyword set according to the historical information keyword set, and determine a target keyword set.
And the commodity recommending module 80 is configured to recommend commodities to the user according to the target keyword set.
Further, the goods recommending module 80 includes:
and the keyword search information acquisition unit is used for acquiring the search information of any keyword in the target keyword set.
And the searched result acquisition unit is used for determining a search result according to the search information of any keyword.
And the commodity recommending unit is used for recommending commodities to the user according to the search result and the preset weight parameter.
In some embodiments of the present application, the weighting parameters include a commodity heat value and a commodity sales amount.
The present application has been described in detail with reference to specific embodiments and illustrative examples, but the description is not intended to limit the application. Those skilled in the art will appreciate that various equivalent substitutions, modifications or improvements may be made to the presently disclosed embodiments and implementations thereof without departing from the spirit and scope of the present disclosure, and these fall within the scope of the present disclosure. The protection scope of this application is subject to the appended claims.
Claims (10)
1. A search content-based E-commerce platform commodity recommendation method is characterized by comprising the following steps:
acquiring user input information, wherein the user input information is content input by a user in a search box of an e-commerce platform;
performing word segmentation processing on the user input information to determine an input information element set;
performing keyword extraction processing on the input information element set to determine an input information keyword set;
acquiring historical order information of a user;
performing word segmentation processing on the historical order information of the user to determine a historical information element set;
extracting keywords from the historical information element set to determine a historical information keyword set;
according to the historical information keyword set, performing traversal processing on the input information keyword set to determine a target keyword set;
and recommending commodities to the user according to the target keyword set.
2. The search content-based e-commerce platform commodity recommendation method according to claim 1, wherein the commodity recommendation to the user according to the target keyword set comprises:
acquiring search information of any keyword in the target keyword set;
determining a search result according to the search information of any keyword;
and recommending commodities to the user according to the search result and preset weight parameters.
3. The search content-based e-commerce platform commodity recommendation method according to claim 2, wherein the weight parameters include a commodity heat value and a commodity sales amount.
4. The search content based e-commerce platform commodity recommendation method according to claim 1, wherein the user historical order information comprises purchased order information of the user in the e-commerce platform within three months.
5. The search content-based e-commerce platform commodity recommendation method of claim 1, wherein the input information keyword set is a disorder array.
6. The search content-based e-commerce platform commodity recommendation method according to claim 5, wherein the historical information keyword set is a disorder array.
7. The search content-based e-commerce platform commodity recommendation device is applied to the search content-based e-commerce platform commodity recommendation method according to any one of claims 1 to 6, and comprises:
the system comprises an input information acquisition module, a search module and a search module, wherein the input information acquisition module is used for acquiring user input information, and the user input information is content input by a user in a search box of an e-commerce platform;
the first word segmentation module is used for carrying out word segmentation processing on the user input information and determining an input information element set;
the first keyword extraction module is used for performing keyword extraction processing on the input information element set and determining an input information keyword set;
the historical order information acquisition module is used for acquiring historical order information of the user;
the second word segmentation module is used for performing word segmentation processing on the historical order information of the user and determining a historical information element set;
the second keyword extraction module is used for extracting keywords from the historical information element set and determining a historical information keyword set;
the traversal processing module is used for performing traversal processing on the input information keyword set according to the historical information keyword set and determining a target keyword set;
and the commodity recommendation module is used for recommending commodities to the user according to the target keyword set.
8. The search content-based e-commerce platform commodity recommendation device of claim 7, wherein the commodity recommendation module comprises:
a keyword search information acquisition unit for acquiring search information of any keyword in the target keyword set;
the searched result acquisition unit is used for determining a search result according to the search information of any keyword;
and the commodity recommending unit is used for recommending commodities to the user according to the search result and the preset weight parameter.
9. The search content-based e-commerce platform commodity recommendation device of claim 8, wherein the weight parameters comprise a commodity heat value and a commodity sales amount.
10. The search content based e-commerce platform commodity recommendation device of claim 7, wherein the user historical order information comprises purchased order information of the user in the e-commerce platform within three months.
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Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106327227A (en) * | 2015-06-19 | 2017-01-11 | 北京航天在线网络科技有限公司 | Information recommendation system and information recommendation method |
| CN107437195A (en) * | 2016-05-27 | 2017-12-05 | 北京京东尚科信息技术有限公司 | To the method and apparatus of user's Recommendations |
| JP6251465B1 (en) * | 2017-03-30 | 2017-12-20 | 株式会社 かます東京 | RECOMMENDED INFORMATION PROVIDING SYSTEM AND RECOMMENDED INFORMATION PROVIDING METHOD |
| CN108320213A (en) * | 2018-01-31 | 2018-07-24 | 深圳春沐源控股有限公司 | Electric business Method of Commodity Recommendation and electric business Platform Server |
| CN108399224A (en) * | 2018-02-12 | 2018-08-14 | 安徽千云度信息技术有限公司 | A kind of method of the push of shopping at network information |
| JP2018181326A (en) * | 2017-04-06 | 2018-11-15 | ネイバー コーポレーションＮＡＶＥＲ Ｃｏｒｐｏｒａｔｉｏｎ | Personalized products recommendation using deep learning |
| CN110059253A (en) * | 2019-04-23 | 2019-07-26 | 重庆慧安链科技有限公司 | A kind of sort method and system and equipment based on natural language analysis |
| CN111062788A (en) * | 2019-12-28 | 2020-04-24 | 广东奥园奥买家电子商务有限公司 | E-commerce platform commodity recommendation method, device and equipment based on search |
| CN112598467A (en) * | 2020-12-23 | 2021-04-02 | 北京三快在线科技有限公司 | Training method of commodity recommendation model, commodity recommendation method and device |
| CN112750011A (en) * | 2021-01-13 | 2021-05-04 | 叮当快药科技集团有限公司 | Commodity recommendation method and device and electronic equipment |
| CN112862553A (en) * | 2019-11-27 | 2021-05-28 | 北京京东尚科信息技术有限公司 | Commodity recommendation method and device |
| CN113127736A (en) * | 2021-04-14 | 2021-07-16 | 华世界数字科技(深圳)有限公司 | Classification recommendation method and device based on search history |
-
2021
- 2021-09-01 CN CN202111021837.0A patent/CN113706260A/en active Pending
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106327227A (en) * | 2015-06-19 | 2017-01-11 | 北京航天在线网络科技有限公司 | Information recommendation system and information recommendation method |
| CN107437195A (en) * | 2016-05-27 | 2017-12-05 | 北京京东尚科信息技术有限公司 | To the method and apparatus of user's Recommendations |
| JP6251465B1 (en) * | 2017-03-30 | 2017-12-20 | 株式会社 かます東京 | RECOMMENDED INFORMATION PROVIDING SYSTEM AND RECOMMENDED INFORMATION PROVIDING METHOD |
| JP2018181326A (en) * | 2017-04-06 | 2018-11-15 | ネイバー コーポレーションＮＡＶＥＲ Ｃｏｒｐｏｒａｔｉｏｎ | Personalized products recommendation using deep learning |
| CN108320213A (en) * | 2018-01-31 | 2018-07-24 | 深圳春沐源控股有限公司 | Electric business Method of Commodity Recommendation and electric business Platform Server |
| CN108399224A (en) * | 2018-02-12 | 2018-08-14 | 安徽千云度信息技术有限公司 | A kind of method of the push of shopping at network information |
| CN110059253A (en) * | 2019-04-23 | 2019-07-26 | 重庆慧安链科技有限公司 | A kind of sort method and system and equipment based on natural language analysis |
| CN112862553A (en) * | 2019-11-27 | 2021-05-28 | 北京京东尚科信息技术有限公司 | Commodity recommendation method and device |
| CN111062788A (en) * | 2019-12-28 | 2020-04-24 | 广东奥园奥买家电子商务有限公司 | E-commerce platform commodity recommendation method, device and equipment based on search |
| CN112598467A (en) * | 2020-12-23 | 2021-04-02 | 北京三快在线科技有限公司 | Training method of commodity recommendation model, commodity recommendation method and device |
| CN112750011A (en) * | 2021-01-13 | 2021-05-04 | 叮当快药科技集团有限公司 | Commodity recommendation method and device and electronic equipment |
| CN113127736A (en) * | 2021-04-14 | 2021-07-16 | 华世界数字科技(深圳)有限公司 | Classification recommendation method and device based on search history |
Non-Patent Citations (1)
| Title |
|---|
| 胡昌龙等: "《虚拟社会网络下群行为感知与规律研究》", 武汉大学出版社 * |
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Application publication date: 20211126 |