CN114897576B - Commodity pushing method based on data analysis - Google Patents
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Abstract
The invention relates to a commodity pushing method based on data analysis, which comprises the steps of receiving first search information of a user after receiving login information of the user; constructing a search range, completing first search in the search range according to the first search information, and acquiring a first data set based on the first search information; and adjusting the search range according to the data amount in the first data set. Through setting up multiple commodity introduction explanation to call in the face of different search information, the user of being convenient for more quick more accurately fixes a position to the commodity that needs to search, realizes the accurate propelling movement to search information.
Description
Technical Field
The invention relates to the technical field of electronic commerce sales, in particular to a commodity pushing method based on data analysis.
Background
With the advent of the big data age, the amount of information in networks has increased exponentially, with consequent information overload problems. The recommendation system is one of the most effective ways to solve information overload, and the big data recommendation system has gradually become a research hotspot in the information field. Big data based recommendation systems derive interest preferences of users by studying their historical information so that users can be recommended to items they may like now and in the future. The effectiveness and accuracy of the recommended data have become an important index for measuring the recommendation system, and how to ensure the accuracy of the recommended data is a problem to be considered by technicians first.
The patent document with publication number CN106021337A discloses an intelligent recommendation method based on big data analysis, which extracts behavior data (browsing, clicking, collecting, searching and the like) of a user in an e-commerce application or an information platform (PC website, APP) and stores the behavior data in the big data platform; analyzing user behavior data stored in a big data platform, portraying a user, specifically searching and obtaining quantized values of each dimension space of a commodity concerned by the user according to quantized values of a preset dimension space, and obtaining a weight value corresponding to each quantized value according to the click rate of the user on the dimension space; and carrying out matching operation on the quantized values of the dimension spaces of the commodities focused by the user and the weight values corresponding to the quantized values and the data of the single commodity to obtain a single commodity recommendation index. And setting a certain recommendation index threshold, and adding the single commodity into a recommended commodity list when the recommendation index of the single commodity is larger than the recommendation index threshold.
However, when the recommendation index of any single commodity is not more than the recommendation index threshold, the list of recommended commodities for the user is empty, and the acquired user data cannot be well matched with the commodity, so that the pushing efficiency of commodity recommendation is affected.
Disclosure of Invention
Therefore, the invention provides a commodity pushing method based on data analysis, which can solve the technical problem that a recommendation algorithm is not matched with commodities in the prior art.
In order to achieve the above object, the present invention provides a commodity pushing method based on data analysis, including:
after receiving login information of a user, receiving first search information of the user;
constructing a search range, completing first search in the search range according to the first search information, and acquiring a first data set based on the first search information;
adjusting the search range according to the data amount in the first data set;
If the first data set matched with the first search information is empty in the search range, indicating that relevant commodity information is not found according to the search information of the current user, and performing secondary processing on the first search information to form second search information, wherein the second search information consists of the first search information and the replacement information of the first search information;
Determining the number of the substitute information according to the requirement on the substitute information when forming the second search information, and presetting a first number n1, a second number n2 and a third number n3, wherein the first number n1< the second number n2< the third number n3;
The determining the number of the substitute information according to the requirement for the substitute information includes:
If the similarity degree of the semantics of the required replacement information and the first search information is high, selecting a first number n1 of replacement information;
If the similarity degree of the semantics of the required replacement information and the first search information is moderate, selecting a second number n2 of replacement information;
If the similarity degree of the semantics of the required replacement information and the first search information is low, selecting a third number n3 of replacement information;
For any number of substitute information, determining an increment of the data volume in the second data set formed by searching based on the second search information relative to the data volume in the first data set, and adjusting the search range according to the increment of the data volume in the second data set;
If the increment of the data quantity in the second data set is less than or equal to 20% of the data quantity in the first data set, adjusting the searching range to 120% of the original searching range;
If the increment of the data volume in the first data set is more than or equal to 80 percent of the data volume in the second data set and is more than 20 percent of the data volume in the first data set, the original search range is adjusted to be 180 percent of the original search range;
If the increment of the data amount in the second data set is greater than 80% of the data amount in the first data set, the original search range is adjusted to 200% of the original search range.
Further, when the first search information is processed for the second time, the method further comprises the steps of converting according to the language of the first search information so as to increase the quantity of the substitute information of the first search information, and then determining an adjustment coefficient of the search range according to the structure of the substitute information in the second search information;
If the number of the substitution information converted by the semantics is the same as the number of the substitution information converted by the languages in the second search information, the original search range is increased by adopting a first increment coefficient I1;
If the number of the substitute information converted by the semantics is greater than the number of the substitute information converted by the languages, the original search range is adopted;
If the number of substitution information converted by the semantics is less than the number of substitution information converted by the language, the original search range is increased by the second increment coefficient I2.
Further, the identity information of the user is determined according to the input login information, and the data volume of the data set in the next search period is determined according to the identity information of the user and the data volume in the current search period.
Further, a plurality of search periods are set, and the data volume of the first data set in the next search period is adjusted according to the actual search condition in the current search period;
when an adjustment is required to the number of first data sets of the next search period, a first coefficient k1, a second coefficient k2 and a third coefficient k3 are preset, wherein 0< k1< k2< k3<1,
And selecting a coefficient for adjusting the number of the first data sets according to the age information in the user identity information.
Further, when the age information of the user is less than or equal to 18, selecting the first coefficient k1 as an adjustment coefficient of the data amount in the first data set;
when the age information of the user is more than or equal to 60 and is more than 18, selecting the second coefficient k2 as an adjustment coefficient of the data volume in the first data set;
When the age information of the user >60, then the third coefficient k3 is selected as an adjustment coefficient for the amount of data within the first data set.
Further, when the data amount D1 in the first data set is adjusted by the first coefficient k1, the adjusted data amount is D11' =d1× (1+k1);
When the data amount D1 in the first data set is adjusted by the second coefficient k2, the adjusted data amount is d12' =d1× (1+k2);
When the data amount D1 in the first data set is adjusted with the third coefficient k3, the adjusted data amount is D13' =d1× (1+k3).
Further, the first coefficient k1=n1/(n1+n2+n3);
The second coefficient k2=n2/(n1+n2+n3);
the third coefficient k3=n3/(n1+n2+n3).
Further, the login information of the user is a user name and a password of the user, the login page of the user and the search page of the user are arranged on the same page, or the login information of the user is received in different page settings, and then the user enters the search page, so that the login page and the search page belong to different pages, the settings of the pages have time sequence precedence, after the user enters the search page, a search box is arranged in the search page and used for receiving the search information input by the user, after the search information of the user is received, the search information is stored, and the search information is stored in a storage unit.
Further, when the first search information is processed secondarily, an increased search range is selected according to a preset commodity label matching list, wherein the commodity label matching list expresses the corresponding relation of various languages of commodities, and if the Chinese of the first search information is input by a user, the Chinese of the first search information is converted into English when the first search information is processed secondarily.
Further, the actual number of the search information is one, and after the corresponding page is logged in, only one first search information is required to be input when the search is required, wherein the first search information is a common name of a commodity.
Compared with the prior art, the method has the beneficial effects that by setting various commodity introduction descriptions, different search information is called, so that a user can conveniently and quickly and accurately locate the commodities to be searched, and accurate pushing of the search information is realized.
In particular, by carrying out secondary processing on the search information, the search range is increased, so that the matching based on the search information in the search range is more accurate, the push success rate of commodities is improved, the defect that the matching of the commodities is not proper is effectively avoided, and the search efficiency of target products is greatly improved.
In particular, the secondary processing of the search information is completed through the input of the primary search information of the user, the secondary processing is performed on the search information, and the number of the substitute information which is the same as or similar to the semantic meaning of the search information is increased.
In particular, the quantity of the substitute information is determined through semantic similarity transformation, so that effective supplementation of search information is realized, effective matching in a search range is improved, and the commodity recommendation efficiency is improved.
In particular, the age information of the user is determined, the interval in which the age information of the user is located is determined, the data amount of the first dataset is adaptively adjusted according to the interval in which the actual age of the user is located, in practical application, the age information of the user is more frequent in the period from 18 years old to 60 years old, so that the data amount generated in the age interval is more, the second coefficient k2 is adopted to adjust, the effective increase of the data amount in the first dataset is realized, the age of the user is less than 18 years old, the network data generated by the user is relatively less, the age of the network data is less, the data information related to the user is less in the searching process based on the search information, the data amount in the first dataset is adjusted by adopting the first coefficient k1, and when the age information of the user is more than 60 years old, the age span of the user is more than 60 years old, the data amount D1 in the first dataset is adjusted by adopting the third coefficient k3, the effective increase of the data amount in the first dataset is effectively improved, the effective search range of the user is accurately searched for the first-stage-related information of the user is determined, the effective search information is more accurately improved, the commodity is more accurately matched, and the commodity is more accurately searched, and the effective information is more accurately determined, and the user is more accurately matched with the first-stage-quality data is determined.
In particular, the data quantity D1 in the first data set is adjusted by adopting different coefficients, so that effective adjustment of the data quantity in the first data set is realized, effective search based on search information in a search range is realized, commodity information related to the search information in the first data set is conveniently promoted, effective display and search of the commodity information are completed, the recommendation accuracy of the commodity information is improved, and the effectiveness and convenience of commodity pushing are improved.
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Fig. 1 is a schematic flow chart of a commodity pushing method based on data analysis according to an embodiment of the present invention.
Detailed Description
In order that the objects and advantages of the invention will become more apparent, the invention will be further described with reference to the following examples; it should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are merely for explaining the technical principles of the present invention, and are not intended to limit the scope of the present invention.
It should be noted that, in the description of the present invention, terms such as "upper," "lower," "left," "right," "inner," "outer," and the like indicate directions or positional relationships based on the directions or positional relationships shown in the drawings, which are merely for convenience of description, and do not indicate or imply that the apparatus or elements must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present invention.
Furthermore, it should be noted that, in the description of the present invention, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention can be understood by those skilled in the art according to the specific circumstances.
Referring to fig. 1, the commodity pushing method based on data analysis provided in the embodiment of the present invention includes:
Step S100: after receiving login information of a user, receiving first search information of the user;
Step S200: constructing a search range, completing first search in the search range according to the first search information, and acquiring a first data set based on the first search information;
Step S300: and adjusting the search range according to the data amount in the first data set.
Specifically, the login information of the user is the user name and password of the user, the login page of the user and the search page of the user can be set on the same page, and can also be set on different pages, in practical application, the login page and the search page are usually set on the same page after receiving the login information of the user, so that the login page and the search page belong to different pages, the setting of the page has a time sequence relationship, after the user enters the search page, a search box is arranged in the search page and used for receiving the search information input by the user, after receiving the search information of the user, the search information is stored in a storage unit, and in practical application, the search information can be Chinese or English, or any other language.
If the first data set matched with the first search information is empty in the search range, indicating that relevant commodity information is not found according to the search information of the current user, and performing secondary processing on the first search information to form second search information, wherein the second search information consists of the first search information and the replacement information of the first search information;
Determining the number of the substitute information according to the requirement on the substitute information when forming the second search information, and presetting a first number n1, a second number n2 and a third number n3, wherein the first number n1< the second number n2< the third number n3;
The determining the number of the substitute information according to the requirement for the substitute information includes:
If the similarity degree of the semantics of the required replacement information and the first search information is high, selecting a first number n1 of replacement information;
If the similarity degree of the semantics of the required replacement information and the first search information is moderate, selecting a second number n2 of replacement information;
If the similarity degree of the semantics of the required replacement information and the first search information is low, selecting a third number n3 of replacement information;
For any number of substitute information, determining an increment of the data volume in the second data set formed by searching based on the second search information relative to the data volume in the first data set, and adjusting the search range according to the increment of the data volume in the second data set;
If the increment of the data quantity in the second data set is less than or equal to 20% of the data quantity in the first data set, adjusting the searching range to 120% of the original searching range;
If the increment of the data volume in the first data set is more than or equal to 80 percent of the data volume in the second data set and is more than 20 percent of the data volume in the first data set, the original search range is adjusted to be 180 percent of the original search range;
If the increment of the data amount in the second data set is greater than 80% of the data amount in the first data set, the original search range is adjusted to 200% of the original search range.
Specifically, the second search information in the embodiment of the present invention is composed of the first search information and the replacement information of the first search information, where the replacement information is obtained by converting according to the first search information, in practical application, the requirements for the replacement information are different, the number of conversions according to the first search information is different, if the requirements for the replacement information are higher, the similarity with the first search information must be higher, the first number n1 is selected as the number of replacement information, if the similarity with the first search information is lower, the number of replacement information can be increased, the third number n3 is selected as the number of replacement information, in practical application, the similarity with the semantics can be determined according to the obtaining relation with the first search information, if a certain replacement information is directly obtained according to the first search information, the similarity degree between the replacement information and the first search information is high, if the replacement information is obtained according to other replacement information, the similarity degree between the replacement information and the first search information is not high, in practical application, a relational network chart based on each search information is prestored, a plurality of levels of word information are arranged in the relational network chart, the relational network chart in the embodiment of the invention is constructed according to the information such as the category of commodity names, brands and the like, the relational network chart is formed according to the information such as the commodity names, functions, brands and the like in an electronic website, when the search information is a sound box, the similar words of the sound box are a computer sound box, a notebook sound box, a HiFi sound box and the like, as the first level information of the search information, the computer sound box in the first level information also comprises the computer sound box of each brand, such as apples, walkers and the like, and the information is used as the information of the second level, so that the search and the search of the replacement information based on the first search information are realized, related commodities can be effectively searched, and efficient pushing can be performed.
If the first data set matched with the first search information is empty in the search range, the condition that related commodity information is not found according to the search information of the current user is indicated, and the search range is increased.
Specifically, when the first search information is processed for the second time, the method further comprises the steps of converting according to the language of the first search information so as to increase the quantity of the substitute information of the first search information, and then determining an adjustment coefficient of the search range according to the structure of the substitute information in the second search information;
If the number of the substitution information converted by the semantics is the same as the number of the substitution information converted by the languages in the second search information, the original search range is increased by adopting a first increment coefficient I1;
If the number of the substitute information converted by the semantics is greater than the number of the substitute information converted by the languages, the original search range is adopted;
If the number of substitution information converted by the semantics is less than the number of substitution information converted by the language, the original search range is increased by the second increment coefficient I2.
Specifically, in the embodiment of the invention, through the input of the first search information by the user, the secondary processing of the first search information is completed, the number of the substitute information which is the same as or similar to the semantics of the first search information is increased, in practical application, when the secondary processing is carried out on the first search information, the information which is similar to the semantics of the first search information can be used as the substitute information of the first search information to form the second search information, and also can be used for carrying out language conversion on the first search information, obviously, after the language conversion of the first search information is carried out, the formed second search information comprises the first search information, the substitute information after the semantic conversion is carried out, and the number of the substitute information after the language conversion is increased.
Specifically, in the embodiment of the invention, the semantic conversion is illustrated by taking a sound box as an example, words with close sound box semantics are taken as speakers, when searching for commodities in a website, searching for the commodities is performed based on keywords, the search variability is large due to inconsistent publicity expressions, and the embodiment of the invention effectively improves the replacement information of search information by using conventional names, publicity expressions and the like, so that the pushing accuracy of the commodities is greatly improved.
Specifically, in the embodiment of the invention, the matching based on the second search information and the search range is realized by adjusting the quantity of the alternative information and the search range, so that the optimized search result can be conveniently and rapidly given out, the situation of no-result display is effectively avoided, the user can be guided to consume, and the pushing efficiency of commodity pushing is improved.
Specifically, the actual number of the first search information is one, after a corresponding page is logged in, when searching is needed, only one search information is needed to be input, in practical application, the search information can be a common name of a commodity, the semantics of the name are effectively converted, determination of alternative information similar to the semantics of the commodity is added, after the alternative information is determined, the search information and the alternative information are all used as new search information, and effective matching in a search range according to the new search information is completed, so that accurate pushing of the commodity is achieved.
Specifically, the embodiment of the invention determines the identity information of the user according to the input login information, and determines the data volume of the data set in the next search period according to the identity information of the user and the data volume in the current search period.
Specifically, the embodiment of the invention is provided with a plurality of search periods, and the data volume of the first data set in the next search period is adjusted under the actual search condition in the current search period;
when an adjustment is required to the number of first data sets of the next search period, a first coefficient k1, a second coefficient k2 and a third coefficient k3 are preset, wherein 0< k1< k2< k3<1,
Selecting a coefficient for adjusting the number of the first data set according to age information in the user identity information;
when the age information of the user is less than or equal to 18, selecting the first coefficient k1 as an adjustment coefficient of the data volume in the first data set;
when the age information of the user is more than or equal to 60 and is more than 18, selecting the second coefficient k2 as an adjustment coefficient of the data volume in the first data set;
When the age information of the user >60, then the third coefficient k3 is selected as an adjustment coefficient for the amount of data within the first data set.
Specifically, the embodiment of the invention determines the age information of the user, determines the interval in which the age information of the user is located, adaptively adjusts the data volume of the first data set according to the interval in which the actual age of the user is located, in practical application, the age of the user is 18 to 60 years old, the network is used more frequently, so the data volume generated in the age interval is more, the adjustment is performed by adopting the second coefficient k2, the effective increase of the data volume in the first data set is realized, the age of the user is less than 18, the network data generated by the user is relatively less, and the age of the network data generated is less, therefore, in the searching process based on the searching information, the data information related to the user is less, the first coefficient k1 is adopted to adjust the data amount in the first data set, when the age information of the user is greater than 60 years old, the age span of the user is larger, the time span of the related information searching of the user is larger, the third coefficient k3 is adopted to adjust the data amount D1 in the first data, the effective determination of the first data sets of users in different age ranges is effectively improved, the matching information in the searching range of the user is further determined according to the searching information, the accurate first data set is determined, the searching accuracy of the user is improved, and the effectiveness and the recommending efficiency of commodity pushing are improved.
Specifically, when the data amount D1 in the first data set is adjusted with the first coefficient k1, the adjusted data amount is D11' =d1× (1+k1);
When the data amount D1 in the first data set is adjusted by the second coefficient k2, the adjusted data amount is d12' =d1× (1+k2);
When the data amount D1 in the first data set is adjusted with the third coefficient k3, the adjusted data amount is D13' =d1× (1+k3).
Specifically, the first coefficient k1=n1/(n1+n2+n3);
A second coefficient k2=n2/(n1+n2+n3);
third coefficient k3=n3/(n1+n2+n3).
Specifically, the data quantity D1 in the first data set is adjusted by adopting different coefficients, so that effective adjustment of the data quantity in the first data set is realized, effective search in a search range based on search information is realized, commodity information related to the search information in the first data set is conveniently promoted, effective display and search of the commodity information are completed, recommendation accuracy of the commodity information is improved, and effectiveness and convenience of commodity pushing are improved.
Thus far, the technical solution of the present invention has been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of protection of the present invention is not limited to these specific embodiments. Equivalent modifications and substitutions for related technical features may be made by those skilled in the art without departing from the principles of the present invention, and such modifications and substitutions will be within the scope of the present invention.
The foregoing description is only of the preferred embodiments of the invention and is not intended to limit the invention; various modifications and variations of the present invention will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. The commodity pushing method based on data analysis is characterized by comprising the following steps:
after receiving login information of a user, receiving first search information of the user;
constructing a search range, completing first search in the search range according to the first search information, and acquiring a first data set based on the first search information;
adjusting the search range according to the data amount in the first data set;
If the first data set matched with the first search information is empty in the search range, indicating that relevant commodity information is not found according to the search information of the current user, and performing secondary processing on the first search information to form second search information, wherein the second search information consists of the first search information and the replacement information of the first search information;
Determining the number of the substitute information according to the requirement on the substitute information when forming the second search information, and presetting a first number n1, a second number n2 and a third number n3, wherein the first number n1< the second number n2< the third number n3;
The determining the number of the substitute information according to the requirement for the substitute information includes:
If the similarity degree of the semantics of the required replacement information and the first search information is high, selecting a first number n1 of replacement information;
If the similarity degree of the semantics of the required replacement information and the first search information is moderate, selecting a second number n2 of replacement information;
If the similarity degree of the semantics of the required replacement information and the first search information is low, selecting a third number n3 of replacement information;
For any number of substitute information, determining an increment of the data volume in the second data set formed by searching based on the second search information relative to the data volume in the first data set, and adjusting the search range according to the increment of the data volume in the second data set;
If the increment of the data quantity in the second data set is less than or equal to 20% of the data quantity in the first data set, adjusting the searching range to 120% of the original searching range;
If the increment of the data volume in the first data set is more than or equal to 80 percent of the data volume in the second data set and is more than 20 percent of the data volume in the first data set, the original search range is adjusted to be 180 percent of the original search range;
If the increment of the data amount in the second data set is greater than 80% of the data amount in the first data set, the original search range is adjusted to 200% of the original search range.
2. The method for pushing merchandise based on data analysis of claim 1,
When the first search information is processed for the second time, the method further comprises the steps of converting according to the language of the first search information so as to increase the quantity of the substitute information of the first search information, and then determining the adjustment coefficient of the search range according to the structure of the substitute information in the second search information;
If the number of the substitution information converted by the semantics is the same as the number of the substitution information converted by the languages in the second search information, the original search range is increased by adopting a first increment coefficient I1;
If the number of the substitute information converted by the semantics is greater than the number of the substitute information converted by the languages, the original search range is adopted;
If the number of substitution information converted by the semantics is less than the number of substitution information converted by the language, the original search range is increased by the second increment coefficient I2.
3. The data analysis-based commodity pushing method according to claim 2, wherein the identity information of the user is determined according to the input login information, and the data amount of the data set in the next search period is determined according to the identity information of the user and the data amount in the current search period.
4. The method for pushing merchandise based on data analysis of claim 3,
Setting a plurality of search periods, and adjusting the data quantity of a first data set in the next search period according to the actual search condition in the current search period;
when an adjustment is required to the number of first data sets of the next search period, a first coefficient k1, a second coefficient k2 and a third coefficient k3 are preset, wherein 0< k1< k2< k3<1,
And selecting a coefficient for adjusting the number of the first data sets according to the age information in the user identity information.
5. The method for pushing merchandise based on data analysis of claim 4,
When the age information of the user is less than or equal to 18, selecting the first coefficient k1 as an adjustment coefficient of the data volume in the first data set;
when the age information of the user is more than or equal to 60 and is more than 18, selecting the second coefficient k2 as an adjustment coefficient of the data volume in the first data set;
When the age information of the user >60, then the third coefficient k3 is selected as an adjustment coefficient for the amount of data within the first data set.
6. The method for pushing merchandise based on data analysis of claim 5,
When the data amount D1 in the first data set is adjusted by the first coefficient k1, the adjusted data amount is D11' =d1× (1+k1);
When the data amount D1 in the first data set is adjusted by the second coefficient k2, the adjusted data amount is d12' =d1× (1+k2);
When the data amount D1 in the first data set is adjusted with the third coefficient k3, the adjusted data amount is D13' =d1× (1+k3).
7. The method for pushing merchandise based on data analysis of claim 6,
The first coefficient k1=n1/(n1+n2+n3);
The second coefficient k2=n2/(n1+n2+n3);
the third coefficient k3=n3/(n1+n2+n3).
8. The commodity pushing method based on data analysis according to claim 7, wherein the login information of the user is a user name and a password of the user, the login page of the user and the search page of the user are set on the same page, or after receiving the login information of the user, the user enters the search page, so that the login page and the search page belong to different pages, the settings of the pages have a time sequence relationship, after the user enters the search page, a search box is arranged in the search page to receive the search information input by the user, after receiving the search information of the user, the search information is stored, and the search information is stored in the storage unit.
9. The method for pushing merchandise based on data analysis of claim 8,
And selecting an increased search range according to a preset commodity label matching list when the first search information is subjected to secondary processing, wherein the commodity label matching list expresses the corresponding relation of various languages of commodities, and if the first search information input by a user is Chinese, converting the Chinese of the first search information into English when the first search information is subjected to secondary processing.
10. The commodity pushing method according to claim 9, wherein the actual number of the search information is one, and only one first search information is required to be input when the search is required after the corresponding page is registered, the first search information being a common name of a commodity.
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