CN110750720B - PC-based scene individual recommendation method and system - Google Patents

PC-based scene individual recommendation method and system Download PDF

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Publication number
CN110750720B
CN110750720B CN201910999746.0A CN201910999746A CN110750720B CN 110750720 B CN110750720 B CN 110750720B CN 201910999746 A CN201910999746 A CN 201910999746A CN 110750720 B CN110750720 B CN 110750720B
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information
browser
user
recommendation
data
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CN110750720A (en
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张荣生
黄根平
郭蚕
周志勇
徐斗玺
赵四凯
汤棋
阳亮
李婷
黄幼财
李想
冯山山
侯新策
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Shanghai Songheng Network Technology Co ltd
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Shanghai Songheng Network Technology Co ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9535—Search customisation based on user profiles and personalisation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/957—Browsing optimisation, e.g. caching or content distillation
    • G06F16/9574—Browsing optimisation, e.g. caching or content distillation of access to content, e.g. by caching
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management

Abstract

The invention provides a PC-based scene individual recommendation method and system, wherein the method comprises the following steps: installing an information recommending device and a browser A on a PC end; the information recommendation device is internally provided with a browser B and preset with a triggering rule to trigger a mini display interface of the browser B to pop up; the information recommendation device is utilized to realize preprocessing, which comprises the steps of reading equipment hardware information of a PC end, calculating to obtain a user UID, writing the user UID into Cookies of all the browsers, and realizing Cookie Mapping among multiple browsers; the PC end sends an access request to the web server through the browser A to acquire a user UID, and feeds the user UID back to the web server; the web server sends the access request and the user UID to the information recommendation platform; the information recommendation platform captures and caches data information related to the access request to send recommendation to the PC end where the user UID is located. And through UID and Cookie, relevant recommendation based on the topic scene of interest of the user is realized.

Description

PC-based scene individual recommendation method and system
Technical Field
The invention relates to the technical field of Internet, in particular to a PC-based scene individual recommendation method and system.
Background
The provider of Web services (such as search engines, news, video portal sites and the like) which are mainly non-login users marks the user identities of user groups through a certain method, so that when a server performs user behavior analysis, the access history records of the same user can be connected in series through the user identity marks as a main line, thereby helping to complete behavior analysis, feature extraction and the like aiming at specific users, and further providing better services for the users, such as personalized search, recommendation, notification reminding, accurate advertisements and the like aiming at the users.
Currently, the following method is adopted to identify the identity of the access user: when a user accesses a web server for the first time, the web server generates an identification string for the current access user according to a corresponding algorithm, and sets the identification string into a Cookie of the current browser of the access user, and when the user accesses the web server through the browser, the user automatically carries the Cookie information, so that the web server is helped to identify that the access is of the same user.
In addition, at present, information recommendation is mostly realized by editing manual recommended hot topics or combining a certain algorithm recommendation according to a user history browsing record, so that mini page information recommendation of a PC end is realized by combining a mini popup window.
However, the method adopted by the identification mark has the following disadvantages: (1) The Cookie is easy to be actively or passively cleared by the user, so that the user identity mark period is short, and further analysis of the user behavior by the webpage server is not facilitated; (2) Cookie technology can not be shared across applications, so that multiple browsers on the same device are not interfered with each other, and the WEB server uses multiple user identities for the multiple browsers on the same device.
The manner of mini-pop information recommendation has the following disadvantages: (1) the manual recommendation information does not correspond to a single user interest; (2) The algorithm recommendation depends on historical behavior data of the user, a more accurate recommendation can be formed only by enough data samples, and a series of behaviors of the user are inevitably generated in two browsers due to the characteristics of the mini page; (3) The interaction mode of the mini page and the user is that the mini page pops up immediately after being started, so that the information reading rate of the mini page is low.
Disclosure of Invention
In combination with the problems, the application provides a PC-based scene personalized recommendation method, which solves the problem that the new application is independent of historical interest preference data of a user and independent of an algorithm under the condition of no data accumulation, and completes relevant recommendation based on scenes for interest topics.
According to one aspect of the invention, a PC-based scenerization personalized recommendation method is provided, and the method comprises the following steps:
installing an information recommending device and a browser A on a PC end; the information recommendation device is internally provided with a browser B and preset with a triggering rule to trigger a mini display interface popping up the browser B;
the information recommending device is utilized to realize preprocessing, which comprises the steps of reading equipment hardware information of a PC end, calculating to obtain a user UID, writing the user UID into Cookies of various browsers, and realizing Cookie Mapping among multiple browsers;
the PC end sends an access request to a web server through a browser A and receives response data sent by the web server; when the browser A is used for loading response data, reading Cookies in a local domain, acquiring a user UID, and feeding back to the webpage server; the web server sends the access request and the user UID to an information recommendation platform; the information recommendation platform captures and caches data information related to the access request so as to send recommendation to a PC (personal computer) terminal where the user UID is located;
the PC side detects whether the information recommendation platform caches data content or not by using the information recommendation device; and after the triggering rule is met, the information recommending device is utilized to extract and organize data content, the data content is rendered to the browser B, and a mini display interface of the browser B is popped up.
Optionally, the information recommendation platform includes acquiring key content of the access request from the web server, acquiring data information related to the key content from the network, acquiring hot information from the network, and caching according to a caching policy so as to send recommendation information to a PC end where the user UID is located.
Optionally, the web server is configured to receive an access request, read access data, and send response data related to the access data to a PC side where the browser a is located.
Optionally, the response data includes a query code, which is used for querying a Cookie in a local domain of the PC side where the response data is loaded, so as to obtain the user UID.
Optionally, loading the response data includes obtaining a user UID, and feeding back the user UID to the web server.
Optionally, the query code is JavaScript code.
Optionally, the preset triggering rule in the information recommendation device includes presetting a time interval between two adjacent popups of the mini display interface of the browser B, a duration popup duration, and a start-up setting of the PC end.
Optionally, the browser B is a browser constructed by a DUILIB framework with an IE kernel and a UI open source.
Optionally, the caching policy of the information recommendation platform includes provision of data attributes to be cached and inhibited from being cached, and information data captured from the network is cached in the memory corresponding to the user UID
According to another aspect of the present invention, there is provided a PC-based personalized recommendation system, including: the system comprises a webpage server, an information recommendation platform and a plurality of PC ends; installing an information recommendation device and a browser A at a PC end;
the information recommendation device is internally provided with a browser B and preset with a triggering rule to trigger a mini display interface popping up the browser B; the information recommending device reads the equipment hardware information of the PC end, calculates and obtains a user UID, and writes the user UID into Cookies of all the browsers of the PC end so as to realize Cookie Mapping among multiple browsers;
the PC side is used for sending an access request to the webpage server through the browser A, receiving and loading response data sent by the webpage server, reading Cookies in a local domain to obtain user UIDs, and feeding back to the webpage server;
after receiving the access request and reading the access data, the web server sends response data to the PC end, and sends the access data and the user UID to the information recommendation platform;
the information recommendation platform captures hot information and data content related to access data from a network and caches the hot information and the data content according to a caching strategy so as to realize information recommendation to a PC (personal computer) terminal where a user UID (user identification) is located; and the information recommending device enables the browser B to pop up a mini display interface according to the cached content and the triggering rule.
Compared with the prior art, the application has the following advantages:
(1) Even if the user clears the user identity in the browser Cookie, the same user identity is written in, so that the stability of the user identity is improved;
(2) Identifying the user identity across browsers, namely using the same user identity by a plurality of browsers on the same equipment;
(3) The scene information browsing extension based on the user interest topics is realized in real time, and the scene interaction of the mini popup based on the news watching of the user is solved;
(4) And recommending the mini popup information according to the triggering rule.
Drawings
FIG. 1 is a flow chart of the working principle of the preprocessing of the information recommending device of the invention;
FIG. 2 is a flow chart of the working principle of the web server for acquiring the UID of the user at the PC end;
FIG. 3 is a schematic diagram of the network interaction principle in the present invention;
FIG. 4 is a flow chart of a scenerized recommendation in one embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made more apparent and fully hereinafter with reference to the accompanying drawings, in which some, but not all embodiments of the invention are shown. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the invention, are within the scope of the invention.
The invention will be described in further detail below with reference to the drawings by means of specific embodiments.
The embodiment of the invention provides a PC-based scene individual recommendation method, wherein Cookie Mapping is realized among a plurality of browsers, and a specific realization principle is shown by referring to fig. 1 and 2.
UID (User Identifier) is an abbreviation for user identification, understood to be a unique identifier, a global 32-bit unique number, used in compound identifiers to uniquely identify objects, file types, etc. In this embodiment, the unique device ID, i.e., UID, is used to read the device hardware information (network card serial number+hard disk code+cpuid+system disk convolution number) by using the software client, calculate MD5 (information abstraction Algorithm, MD5: message-Digest Algorithm) to obtain the unique device global identifier, and write the unique device global identifier into the PC registry. UIDs are unique global identifiers of current devices, and in the method, the identifiers are only written into Cookies of various browsers to achieve sharing of the identifiers.
A plurality of browsers can be installed in the PC, and in the technical scheme, an information recommendation device and a browser A are installed on the PC side; the information recommendation device is internally provided with a browser B and preset with a triggering rule to trigger a mini display interface of the browser B to pop up. And reading the UID of the software user of the PC side registry by using the information recommendation device, and writing the UID into the Cookies of the browsers so as to realize Cookies Mapping among the multiple browsers. Specifically, a plurality of browsers are arranged in a PC end, and a browser A and a browser B are arranged.
Because the application isolation does not have any content which can be associated among a plurality of browsers on the same device, the data zero sharing among the applications can be understood in the PC side. In this embodiment, the same UID is built in cookies in all the browsers on the PC side by the information recommendation device. Therefore, the same PC end can be realized to have the same user UID in the browser and the browser. In this embodiment, one of the browsers is built in the software client-information recommendation device, and the browser is used as a web client, and mainly uses the user UID of the software, so that synchronization of the web browsers is actively realized, and the problem that Cookies in the web client are cleaned is avoided.
As shown in fig. 1, in a working principle flow chart of preprocessing by an information recommending device, the information recommending device is used for realizing sharing of the same user UID among multiple browsers, and the method specifically comprises the following steps:
s101: starting an information recommendation device by the PC end;
s102: reading equipment hardware information of a PC end by using an information recommendation device;
s103: calculating MD5 by using the equipment hardware information read by the information recommending device to obtain a user UID;
s104: and writing the user UID into the Cookies of the browsers through the information recommending device.
Wherein, the browser in this technical scheme can be arbitrary browser, includes: IE (InternetExplorer), chrome, fire fox, etc.
Further, in one embodiment in which the web server obtains the user UID, the PC side sends an access request to the web server through the browser a; after receiving the access request sent by the PC end, the web server reads the access data and sends response data to the PC end according to the access data; and the PC side receives the response data sent by the webpage server through the browser A and loads the response data. And the PC side loads response data through the browser A to acquire the content to be accessed, reads Cookies in the local domain of the browser A, acquires the user UID, and feeds the user UID back to the webpage server.
As shown in fig. 2, the web server obtains the working principle flow chart of the UID of the PC end user, and specifically includes the following steps:
s201: the PC side initiates an access request to the webpage server by utilizing the browser A;
s202: the webpage server receives the access request and reads the access data;
s203: the webpage server sends response data to the PC terminal according to the access data;
s204: the PC side receives and loads response data by using the browser A, reads Cookies in the local domain, obtains a user UID of the browser A, and feeds the user UID back to the webpage server;
s205: the web server obtains the user UID of the PC side.
Further, the web server extracts key content in the access data, and sends the key content and the user UID of the PC side to the information recommendation platform, and the information recommendation platform captures data content related to the access data from the network and captures trending information from the network. Further, the captured data content and trending information related to the access data are cached so as to send recommendation to the PC terminal where the user UID is located, so that the PC terminal where the user UID is located can acquire recommendation information and latest trending topics depending on historical behavior data of the user, the method can ensure that data samples are enough and are not influenced by a browser for clearing cache Cookies, and accurate recommendation is achieved.
Further, the web server is further configured to receive an access request, read the access data, and send response data related to the access data to the PC side where the browser a is located, so as to obtain the user UID of the PC side by using the response data.
The response data comprises a query code, wherein the query code is a JavaScript code and is used for querying a Cookie in a local domain of a browser of a PC (personal computer) terminal where the response data is loaded, so that a user UID of the PC terminal is obtained. Further, when the response data is loaded, the user UID is obtained, and the user UID is fed back to the webpage server, so that the webpage server recommends information according to the user UID.
In this embodiment, the PC side is configured to detect whether the information recommendation platform caches content through the information recommendation device, and the corresponding information recommendation platform determines whether the information recommendation platform is a user of the corresponding PC side, so as to implement interaction between the PC side and the information recommendation platform. Further, the information recommending device is internally provided with the browser B, and a triggering rule related to the browser B is preset in the information recommending device, so that the information recommending device triggers a mini display interface popping up the browser B when the triggering condition is met.
Specifically, after the information recommending device is started by the PC side, whether data content for recommending is cached in a memory of the information recommending platform is detected and judged, if the data content is cached, the information recommending device extracts and organizes the data content cached by the information recommending platform after the triggering rule is met, the data content is rendered to the browser B, and a mini display interface of the browser B is popped up.
The triggering rule about the browser B preset in the information recommendation device comprises a time interval between two adjacent times of popping up the browser B, a duration popping up time and a PC end starting-up setting.
In the present embodiment, the browser B built in the information recommendation apparatus is a browser constructed by the DUILIB framework of the IE kernel+ui open source.
The caching strategy in the information recommendation platform for the data content to be cached comprises the provision of data attributes which need to be cached and are prohibited from being cached, and the information data to be cached from the network is cached in a memory.
According to the invention, scene promotion is realized through recommendation of multiple browsers. As shown in fig. 3, a network interaction schematic; as shown in FIG. 4, a scenerized recommendation flowchart is implemented in one embodiment.
Specifically, a personal recommendation system based on PC end scenerization comprises: the system comprises a web server, an information recommendation platform and a plurality of PC ends. And installing an information recommendation device and a browser A on the PC side.
The information recommendation device is internally provided with a browser B, and a trigger rule related to the browser B is preset to trigger a mini display interface of the browser B to pop up; and the PC side uses the software user UID of the PC side registry read by the information recommendation device, and writes the user UID into the Cookies of each browser of the PC side, so that Cookies Mapping is realized among multiple browsers.
The PC side uses the browser A to send an access request to the web server, and receives and loads response data sent by the web server.
The response data is response data sent to the PC end after the webpage server receives the access request and reads the access data; and the PC side loads response data through the browser A to read the Cookie in the local domain so as to obtain the user UID, and feeds the user UID back to the webpage server.
And the web server transmits the access data sent by the PC end and the user UID corresponding to the PC end to the information recommendation platform. The information recommendation platform captures hot information from the network, captures data content related to access data from the network, and caches the data content according to a caching strategy so as to recommend information to a PC (personal computer) terminal where a user UID (user identification) is located; thereby realizing accurate recommendation of the PC end according to user behaviors and popular information; further, the information recommending device triggers the browser B to pop up the mini display interface according to the cached data content and the triggering rule.
Specifically, as shown in fig. 4, based on the cookie mapping implemented among the implemented multiple browsers, when the PC end user browses news through the browser a, the PC end reports the related information that the user browses the "XXX" topic to the web server. The web server performs related interaction with the PC terminal, comprising the steps of obtaining an identity of the PC terminal by using a request access of a browser A, sending an access record of a browsed XXX topic and a user identity of the corresponding PC terminal to an information recommendation platform, capturing related information related to the XXX from a network by the information recommendation platform, and caching the captured related information into a memory; meanwhile, the information recommendation platform also captures hot information YYY from the network and caches the hot information YYY into the memory. The information recommendation platform caches the identity of the PC end obtained through the browser A and the related information list related to XXX and YYY, so that information recommendation related to XXX is sent to the PC end with the identity according to the identity. Further, after the information recommending device is started in the PC terminal, a push service requirement is sent to the information recommending platform, the information recommending platform finds out a PC terminal user passing through the browser A according to a Cookie Mapping result, namely, the PC terminal user passing through the browser B sends push service of related information of 'XXX' and 'YYY' topics to the PC terminal user through the browser B, after the information recommending device receives the push service requirement through the browser B, after the trigger condition preset by the information recommending device is met, a cache content list is pulled, cache content is organized, cached data content is rendered to a pop window display interface of the browser B, after the trigger condition is met, a mini display interface pop window of the browser B is triggered in the PC terminal, and accordingly the PC terminal displays the pushed topic information list related to 'XXX' and 'YYY' through the browser B is achieved. The method and the device realize the scene information browsing extension based on the user interest topics in real time, and solve the scene interaction of the mini display interface based on the 'watching news' of the user.
In the application, unique identification of the equipment is acquired through Cookie Mapping, a history record of the browser accessing the page server is uploaded to an information recommendation platform, and the information recommendation platform recommends information to a PC (personal computer) end to be displayed to a user through the history record.
The foregoing description of the invention has been presented for purposes of illustration and description, and is not intended to be limiting. Several simple deductions, modifications or substitutions may also be made by a person skilled in the art to which the invention pertains, based on the idea of the invention.

Claims (10)

1. The PC-based scene personalized recommendation method is characterized by comprising the following steps: installing an information recommending device and a browser A on a PC end; the information recommendation device is internally provided with a browser B and preset with a triggering rule to trigger a mini display interface popping up the browser B;
the information recommending device is utilized to realize preprocessing, which comprises the steps of reading equipment hardware information of a PC end, calculating to obtain a user UID, writing the user UID into Cookies of various browsers, and realizing Cookie Mapping among multiple browsers;
the PC end sends an access request to a web server through a browser A and receives response data sent by the web server; when the browser A is used for loading response data, reading Cookies in a local domain, acquiring a user UID, and feeding back to the webpage server; the web server sends the access request and the user UID to an information recommendation platform; the information recommendation platform captures and caches data information related to the access request so as to send recommendation to a PC (personal computer) terminal where the user UID is located;
the PC side detects whether the information recommendation platform caches data content or not by using the information recommendation device; and after the triggering rule is met, the information recommending device is utilized to extract and organize data content, the data content is rendered to the browser B, and a mini display interface of the browser B is popped up.
2. The PC-side-based personalized recommendation method of claim 1, wherein the information recommendation platform includes acquiring key content of an access request from the web server, acquiring data information related to the key content from a network, acquiring hot information from the network, and caching according to a caching policy so as to send recommendation information to a PC side where a user UID is located.
3. The PC-side-based personalized recommendation method of claim 1, wherein the web server is configured to receive an access request, read access data, and send response data related to the access data to a PC side where the browser a is located.
4. The personal recommendation method based on PC end scene as claimed in any one of claims 1 or 3, wherein the response data includes a query code for querying a Cookie in a local domain of the PC end where the response data is loaded, so as to obtain a user UID.
5. The PC-side-based personalized recommendation method of claim 4, wherein loading the response data includes obtaining a user UID, and feeding the user UID back to the web server.
6. The PC-based personalized recommendation method of claim 4, wherein the query code is JavaScript code.
7. The PC-side-based personalized recommendation method of claim 1, wherein the preset triggering rule in the information recommendation device includes presetting a time interval between two adjacent popups of the mini-display interface of the browser B, a duration of popup, and a PC-side startup setting.
8. The PC-side-based personalized recommendation method according to any one of claims 1 or 7, wherein the browser B is a browser constructed by a DUILIB framework with an IE kernel+ui open source.
9. The PC-side-based personalized recommendation method of claim 1, wherein the caching policy of the information recommendation platform includes provision of data attributes that need to be cached and are prohibited from being cached, and information data captured from a network is cached in a memory corresponding to a user UID.
10. The PC-based scene personalized recommendation system is characterized by comprising: the system comprises a webpage server, an information recommendation platform and a plurality of PC ends; installing an information recommendation device and a browser A at a PC end;
the information recommendation device is internally provided with a browser B and preset with a triggering rule to trigger a mini display interface popping up the browser B; the information recommending device reads the equipment hardware information of the PC end, calculates and obtains a user UID, and writes the user UID into Cookies of all the browsers of the PC end so as to realize Cookie Mapping among multiple browsers;
the PC side is used for sending an access request to the webpage server through the browser A, receiving and loading response data sent by the webpage server, reading Cookies in a local domain to obtain user UIDs, and feeding back to the webpage server;
after receiving the access request and reading the access data, the web server sends response data to the PC end, and sends the access data and the user UID to the information recommendation platform;
the information recommendation platform captures hot information and data content related to access data from a network and caches the hot information and the data content according to a caching strategy so as to realize information recommendation to a PC (personal computer) terminal where a user UID (user identification) is located; and the information recommending device enables the browser B to pop up a mini display interface according to the cached content and the triggering rule.
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