CN106202090B - Information processing method, information searching method, information processing device, information searching device and server - Google Patents

Information processing method, information searching method, information processing device, information searching device and server Download PDF

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CN106202090B
CN106202090B CN201510222302.8A CN201510222302A CN106202090B CN 106202090 B CN106202090 B CN 106202090B CN 201510222302 A CN201510222302 A CN 201510222302A CN 106202090 B CN106202090 B CN 106202090B
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searched
attribute
category
attribute value
data
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CN106202090A (en
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刘威
朱海勇
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Alibaba Group Holding Ltd
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Alibaba Group Holding Ltd
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Abstract

The invention discloses an information processing method, an information searching method, an information processing device, an information searching device and a server, which are used for avoiding attribute values with the same or similar meanings from appearing in search navigation displayed to a user, thereby facilitating further search of the user and improving the use efficiency of search. The information processing method comprises the following steps: determining attribute value merging data of an object to be searched, and reading parameter information of the object to be searched; updating the parameter information of the object to be searched according to the attribute value merging data of the object to be searched, and storing the updated parameter information of the object to be searched into a search engine; or giving prompt information whether the parameter information of the object to be searched needs to be updated according to the attribute value merging data of the object to be searched, updating the parameter information of the object to be searched according to the attribute value merging data of the object to be searched when the parameter information of the object to be searched needs to be updated, and storing the updated parameter information of the object to be searched in a search engine.

Description

Information processing method, information searching method, information processing device, information searching device and server
Technical Field
The present invention relates to the field of communications technologies, and in particular, to an information processing method, an information searching method, an information processing apparatus, an information searching apparatus, and a server.
Background
At present, online shopping is an operation that people often perform, a user logs in a certain shopping website through a browser, and inputs a name of a target object to be searched in a search bar, such as a curtain, and then all curtains that can be provided by the shopping website are searched for which attributes are provided and attribute values under each attribute, where the attributes are, for example: style, price, etc. Attribute values under the attribute "style", for example: modern concision, european classical, rural, concision modern, and so on. The attribute values can be configured by default of the shopping website, and a seller selects when publishing a commodity and filling attribute value information, in such a case, attribute values with the same or similar meanings do not appear, but the seller is not favorable for describing related products, because the option of the attribute values is limited, some shopping websites provide the seller with the attribute values of the product which can be input by the seller, but when the seller publishes a product, all commodity attribute values cannot be exhausted, so the e-commerce website usually provides a channel to allow the seller to input the attribute values of the commodity by the seller, when the seller inputs the commodity by the seller, the attribute values of the commodity input by all the sellers are difficult to ensure to be standard and uniform, and finally, various commodity attribute values with the similar or identical meanings appear. These item attribute values are included as part of item information in a search engine. The navigation block displayed on the search page is the statistical information of all the commodity attribute values, that is, the commodity attribute values are counted, and the number of commodities containing each commodity attribute value is counted.
That is, as the seller fills in the appropriate attribute values according to the understanding of the seller on the commodity, the attribute values may not be the same but are likely to have the same or similar meanings, so that the attribute values having the same or similar meanings appear in the statistical information appearing during the search, that is, the presented documents are different, for example, the attribute values of the style attribute of the curtain, "modern brevity" and "brief modern" have the same meaning, but the expression modes are different, so that both the expression modes appear in the search navigation result, when the user selects the attribute values according to the needs of the user, certain confusion is caused to the user, the user is not favorable for the user to select, and the user is relatively troublesome to select.
In summary, in the prior art, when searching for a search object, a plurality of attribute values with the same meaning appear in search navigation, which causes confusion on further searching for a user and results in low efficiency of search use.
Disclosure of Invention
Embodiments of the present invention provide an information processing method, an information searching method, an information processing apparatus, an information searching apparatus, and a server, which are used to avoid attribute values with the same or similar meanings from appearing in search navigation shown to a user by merging attribute values with the same or similar meanings of search objects, thereby facilitating further search of the user and improving the use efficiency of search.
The information processing method provided by the embodiment of the invention comprises the following steps:
determining attribute value merging data of an object to be searched, and reading parameter information of the object to be searched;
updating the parameter information of the object to be searched according to the attribute value merging data of the object to be searched, and storing the updated parameter information of the object to be searched into a search engine; alternatively, the first and second electrodes may be,
and giving prompt information whether the parameter information of the object to be searched needs to be updated or not according to the attribute value merging data of the object to be searched, updating the parameter information of the object to be searched according to the attribute value merging data of the object to be searched when the parameter information of the object to be searched needs to be updated, and storing the updated parameter information of the object to be searched into a search engine.
The method comprises the steps of determining attribute value merging data of an object to be searched, reading parameter information of the object to be searched, updating the parameter information of the object to be searched according to the attribute value merging data of the object to be searched, storing the updated parameter information of the object to be searched into a search engine, or giving prompt information for judging whether the parameter information of the object to be searched needs to be updated according to the attribute value merging data of the object to be searched, updating the parameter information of the object to be searched according to the attribute value merging data of the object to be searched when the parameter information of the object to be searched is determined to be updated, storing the updated parameter information of the object to be searched into the search engine, so that when a server calls the search engine to search the object to be searched, the same or similar attribute values can not appear in search navigation displayed to a user, therefore, the user can further search conveniently, and the use efficiency of the search is improved.
Optionally, the attribute value merged data of the object to be searched includes at least one row of data of correspondence between categories of the object to be searched and attribute values, and all attribute values corresponding to the categories of the object to be searched included in each row of the data of correspondence belong to the same attribute and have the same meaning.
Optionally, the parameter information of the object to be searched includes: the category, attribute and attribute value of the object to be searched.
Optionally, updating the parameter information of the object to be searched according to the attribute value merging data of the object to be searched includes:
and for any object to be searched, if the category of the object to be searched is the same as one category in the attribute value merged data, and an attribute exists in the object to be searched, and the attribute value corresponding to the attribute is the same as one attribute value in all attribute values corresponding to the category in the attribute value merged data, updating the attribute value corresponding to the attribute of the object to be searched to a preset value.
Optionally, the preset value is one attribute value of all attribute values corresponding to the category in the attribute value merged data.
Optionally, the preset value is a first attribute value of all attribute values corresponding to the category in the attribute value merged data.
Optionally, the determining attribute value merging data of the object to be searched includes:
traversing all categories of the object to be searched, and for any category, if determining that the attribute values of a plurality of objects to be searched corresponding to the category have the same meaning under the same attribute, generating a row of data of the corresponding relationship between the category of the object to be searched and the attribute values by using the category and the attribute values with the same meaning under the same attribute.
Optionally, for any category, if it is determined that attribute values of multiple objects to be searched corresponding to the category under the same attribute have the same meaning, generating data of a corresponding relationship between the category and the attribute value of a row of objects to be searched by using the category and each attribute value under the same attribute having the same meaning, specifically including:
for any category, if it is determined that the attribute values of the plurality of objects to be searched corresponding to the category have the same meaning under the same attribute, generating corresponding relationship data of the category and the attribute values of a row of objects to be searched by using the category, each attribute value of the category having the same meaning under the same attribute, and first indication information for indicating that the attribute values in the row have the same meaning.
Optionally, the determining attribute value merging data of the object to be searched further includes:
for any category, if it is determined that the attribute values of the plurality of objects to be searched corresponding to the category have similar meanings under the same attribute, generating corresponding relationship data of the category and the attribute values of a row of objects to be searched by using the category, the attribute values of the category having similar meanings under the same attribute, and second indication information for indicating the row that the attribute values have similar meanings.
Optionally, the determining attribute value merging data of the object to be searched further includes:
generating a verification interface by utilizing the corresponding relation data of the category and the attribute value of the object to be searched with the second indication information, and outputting and displaying;
and for any row of corresponding relation data of the category and the attribute value of the object to be searched with the second indication information, receiving an instruction for deleting the corresponding relation data of the category and the attribute value of the row of the object to be searched or changing the second indication information in the corresponding relation data of the category and the attribute value of the row of the object to be searched as the first indication information through the verification interface, executing the instruction, and taking the finally obtained corresponding relation data of the category and the attribute value of the object to be searched with the first indication information as attribute value merging data of the object to be searched.
The searching method provided by the embodiment of the invention comprises the following steps:
determining a search target;
and calling a search engine to obtain attribute value statistical information of the search target, wherein the attribute value statistical information is obtained by the search engine by utilizing the updated parameter information of the object to be searched, which is obtained by the information processing method provided by the embodiment of the invention.
An information processing apparatus provided in an embodiment of the present invention includes:
the device comprises a first unit, a second unit and a third unit, wherein the first unit is used for determining attribute value merging data of an object to be searched and reading parameter information of the object to be searched;
the second unit is used for updating the parameter information of the object to be searched according to the attribute value merging data of the object to be searched and storing the updated parameter information of the object to be searched into a search engine; or giving prompt information whether the parameter information of the object to be searched needs to be updated according to the attribute value merging data of the object to be searched, updating the parameter information of the object to be searched according to the attribute value merging data of the object to be searched when the parameter information of the object to be searched needs to be updated, and storing the updated parameter information of the object to be searched in a search engine.
Optionally, the attribute value merged data of the object to be searched includes at least one row of data of correspondence between categories of the object to be searched and attribute values, and all attribute values corresponding to the categories of the object to be searched included in each row of the data of correspondence belong to the same attribute and have the same meaning.
Optionally, the parameter information of the object to be searched includes: the category, attribute and attribute value of the object to be searched.
Optionally, when the second unit updates the parameter information of the object to be searched according to the attribute value merging data of the object to be searched, the second unit is specifically configured to:
and for any object to be searched, if the category of the object to be searched is the same as one category in the attribute value merged data, and an attribute exists in the object to be searched, and the attribute value corresponding to the attribute is the same as one attribute value in all attribute values corresponding to the category in the attribute value merged data, updating the attribute value corresponding to the attribute of the object to be searched to a preset value.
Optionally, the preset value is one attribute value of all attribute values corresponding to the category in the attribute value merged data.
Optionally, the preset value is a first attribute value of all attribute values corresponding to the category in the attribute value merged data.
Optionally, when determining that the attribute values of the object to be searched merge data, the first unit is specifically configured to:
traversing all categories of the object to be searched, and for any category, if determining that the attribute values of a plurality of objects to be searched corresponding to the category have the same meaning under the same attribute, generating a row of data of the corresponding relationship between the category of the object to be searched and the attribute values by using the category and the attribute values with the same meaning under the same attribute.
Optionally, for any category, if it is determined that attribute values of multiple objects to be searched corresponding to the category have the same meaning under the same attribute, the first unit generates corresponding relationship data between the category and the attribute values of a row of objects to be searched by using the category, the attribute values of the category having the same meaning under the same attribute, and first indication information indicating that attribute values in the row have the same meaning.
Optionally, when determining the attribute value merged data of the object to be searched, the first unit is further configured to:
for any category, if it is determined that the attribute values of the plurality of objects to be searched corresponding to the category have similar meanings under the same attribute, generating corresponding relationship data of the category and the attribute values of a row of objects to be searched by using the category, the attribute values of the category having similar meanings under the same attribute, and second indication information for indicating the row that the attribute values have similar meanings.
Optionally, when determining the attribute value merged data of the object to be searched, the first unit is further configured to:
generating a verification interface by utilizing the corresponding relation data of the category and the attribute value of the object to be searched with the second indication information, and outputting and displaying;
and for any row of corresponding relation data of the category and the attribute value of the object to be searched with the second indication information, receiving an instruction for deleting the corresponding relation data of the category and the attribute value of the row of the object to be searched or changing the second indication information in the corresponding relation data of the category and the attribute value of the row of the object to be searched as the first indication information through the verification interface, executing the instruction, and taking the finally obtained corresponding relation data of the category and the attribute value of the object to be searched with the first indication information as attribute value merging data of the object to be searched.
The embodiment of the invention provides a searching device, which comprises:
a determination unit configured to determine a search target;
and the calling unit is used for calling a search engine to obtain attribute value statistical information of the search target, wherein the attribute value statistical information is obtained by the search engine by utilizing the updated parameter information of the object to be searched, which is obtained by the information processing device provided by the embodiment of the invention.
Optionally, the information processing apparatus provided by the embodiment of the present invention is further included.
The server provided by the embodiment of the invention comprises the searching device provided by the embodiment of the invention.
Drawings
Fig. 1 is a schematic flowchart of an information processing method according to an embodiment of the present invention;
FIG. 2 is a flow chart illustrating another information processing method according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an information processing apparatus according to an embodiment of the present invention.
Detailed Description
Embodiments of the present invention provide an information processing method, an information searching method, an information processing apparatus, an information searching apparatus, and a server, which are used to avoid attribute values with the same or similar meanings from appearing in search navigation shown to a user by merging attribute values with the same or similar meanings of search objects, thereby facilitating further search of the user and improving the use efficiency of search.
According to the technical scheme provided by the embodiment of the invention, attribute values with the same or similar semantics are combined, so that the phenomenon that attribute values with the same or similar meanings appear in the search navigation shown to a user is avoided, but the recall of the attribute values of the searched object in a search engine is not influenced.
The following describes embodiments of the present invention in detail with reference to the accompanying drawings.
Referring to fig. 1, an information processing method provided in an embodiment of the present invention includes:
s101, determining attribute value merging data of an object to be searched, and reading parameter information of the object to be searched;
the object to be searched in the embodiment of the present invention may be any article or service product, and the like, and the technical solution provided in the embodiment of the present invention may be applied to the field of electronic commerce, and may also be applied to other fields of search, such as search of electronic books in a digital library, and the like, that is, is applicable to search in any electronic field.
The object to be searched, that is, the search object that can be provided by the server, for example: a window covering. The parameter information of the object to be searched includes, for example: the attributes of the window covering, and the attribute values under the various attributes.
The attribute values of the object to be searched are merged with data, that is, under one or more categories, which attribute values have the same meaning, wherein different categories may be represented by different identifiers, different attribute values, or different identifiers, and the identifiers may include numbers and/or letters, for example.
S102, updating the parameter information of the object to be searched according to the attribute value merging data of the object to be searched, and storing the updated parameter information of the object to be searched into a search engine; alternatively, the first and second electrodes may be,
and giving prompt information whether the parameter information of the object to be searched needs to be updated or not according to the attribute value merging data of the object to be searched, updating the parameter information of the object to be searched according to the attribute value merging data of the object to be searched when the parameter information of the object to be searched needs to be updated, and storing the updated parameter information of the object to be searched into a search engine.
The method comprises the steps of determining attribute value merging data of an object to be searched, reading parameter information of the object to be searched, updating the parameter information of the object to be searched according to the attribute value merging data of the object to be searched, storing the updated parameter information of the object to be searched into a search engine, or giving prompt information for judging whether the parameter information of the object to be searched needs to be updated according to the attribute value merging data of the object to be searched, updating the parameter information of the object to be searched according to the attribute value merging data of the object to be searched when the parameter information of the object to be searched is determined to be updated, storing the updated parameter information of the object to be searched into the search engine, so that when a server calls the search engine to search the object to be searched, the same or similar attribute values can not appear in search navigation displayed to a user, therefore, the user can further search conveniently, and the use efficiency of the search is improved.
Optionally, the attribute value merged data of the object to be searched includes at least one row of data of correspondence between categories of the object to be searched and attribute values, and all attribute values corresponding to the categories of the object to be searched included in each row of the data of correspondence belong to the same attribute and have the same meaning.
The attribute value merging data of the object to be searched includes, for example, the following four rows of data of correspondence between categories and attribute values of the object to be searched:
304,303:291492,293250,306028
303:52450,12698,25434
1034,1034783:49320,310762,310767
304:310749,302511
taking the first row of data as an example, the colon in the first row of data is as follows: "former 303 and former 304 are two different generic IDs, respectively, and later 291492,293250, and 306028 represent three different attribute values, respectively, but the three different attribute values have the same or similar meaning. The first row of data represents three attribute values 291492,293250,306028 that have the same or similar meaning under categories 303 and 304.
In the embodiment of the present invention, in the data of the correspondence between the category and the attribute value of each line of the object to be searched, a colon mark may be used between the category identifier and the attribute value identifier: "separate," or may be separated by other symbols.
Optionally, the parameter information of the object to be searched includes: the category, attribute and attribute value of the object to be searched. Other parameter information may also be included.
Optionally, updating the parameter information of the object to be searched according to the attribute value merging data of the object to be searched includes:
and for any object to be searched, if the category of the object to be searched is the same as one category in the attribute value merged data, and an attribute exists in the object to be searched, and the attribute value corresponding to the attribute is the same as one attribute value in all attribute values corresponding to the category in the attribute value merged data, updating the attribute value corresponding to the attribute of the object to be searched to a preset value.
Optionally, the preset value is one attribute value of all attribute values corresponding to the category in the attribute value merged data.
Optionally, the preset value is a first attribute value of all attribute values corresponding to the category in the attribute value merged data.
For example, if the ID of the curtain class is 303, then since 303 appears in the attribute value merged data of the object to be searched, the attribute values of the curtain are further checked, and as a result, two attribute values 291492 and 293250 are found to appear in the attribute values corresponding to the class 303 in the attribute value merged data, the attribute values of the curtain are updated, the attribute value 293250 in the attribute values is updated to 291492, so that attribute value merging is realized, and the updated attribute values of the curtain are stored in the search engine, instead of updating the original data stored in the database.
Optionally, the determining attribute value merging data of the object to be searched includes:
traversing all categories of the object to be searched, and for any category, if determining that the attribute values of a plurality of objects to be searched corresponding to the category have the same meaning under the same attribute, generating a row of data of the corresponding relationship between the category of the object to be searched and the attribute values by using the category and the attribute values with the same meaning under the same attribute.
If two or more categories have attribute values with the same or similar meanings, the identifiers of the categories and the identifiers of the corresponding attribute values with the same or similar meanings can be used as a row of data.
The prior art can be employed with respect to determining whether the meaning of the attribute values are the same or similar. For example: the meaning of the attribute value can be identified by adopting the existing algorithm and is scored according to a certain rule, the higher the score is, the more similar the identification meaning is, for example, 100 is taken as the highest score, and for the two attribute values of 'modern brief' and 'brief modern', the score is 100, namely, the two attribute values of 'modern brief' and 'brief modern' are the attribute values with the score higher than 95, and the two attribute values are considered to be the attribute values with the same meaning; attribute values above 90 but below 95 are considered similar attribute values.
Optionally, for any category, if it is determined that attribute values of multiple objects to be searched corresponding to the category under the same attribute have the same meaning, generating data of a corresponding relationship between the category and the attribute value of a row of objects to be searched by using the category and each attribute value under the same attribute having the same meaning, specifically including:
for any category, if it is determined that the attribute values of the plurality of objects to be searched corresponding to the category have the same meaning under the same attribute, generating corresponding relationship data of the category and the attribute values of a row of objects to be searched by using the category, each attribute value of the category having the same meaning under the same attribute, and first indication information for indicating that the attribute values in the row have the same meaning.
The attribute value merging data of the object to be searched including the first indication information includes, for example, the following two rows of correspondence data of the category and the attribute value of the object to be searched:
304,303, 291492,293250,306028 are the same
303:52450,12698,25434: same
The same is said to be the first indication information.
Optionally, the determining attribute value merging data of the object to be searched further includes:
for any category, if it is determined that the attribute values of the plurality of objects to be searched corresponding to the category have similar meanings under the same attribute, generating corresponding relationship data of the category and the attribute values of a row of objects to be searched by using the category, the attribute values of the category having similar meanings under the same attribute, and second indication information for indicating the row that the attribute values have similar meanings.
The attribute value merging data of the object to be searched, which includes the first indication information and the second indication information, for example, includes the following four rows of correspondence data of the category and the attribute value of the object to be searched:
304,303, 291492,293250,306028 are the same
303:52450,12698,25434: same
1034,1034783:49320,310762,310767: close
304:310749,302511: close
Wherein "same" means the first indication information, and "close" means the second indication information.
Optionally, the determining attribute value merging data of the object to be searched further includes:
generating a verification interface by utilizing the corresponding relation data of the category and the attribute value of the object to be searched with the second indication information, outputting and displaying the verification interface, and manually verifying whether the similar attribute values can be combined as attribute values with the same meaning;
and for any row of corresponding relation data of the category and the attribute value of the object to be searched with the second indication information, receiving an instruction for deleting the corresponding relation data of the category and the attribute value of the row of the object to be searched or changing the second indication information in the corresponding relation data of the category and the attribute value of the row of the object to be searched as the first indication information through the verification interface, executing the instruction, and taking the finally obtained corresponding relation data of the category and the attribute value of the object to be searched with the first indication information as attribute value merging data of the object to be searched.
The accuracy of attribute value combination can be further improved by performing verification manually, although manual verification is not a necessary operation.
The searching method provided by the embodiment of the invention comprises the following steps:
determining a search target;
and calling a search engine to obtain attribute value statistical information of the search target, wherein the attribute value statistical information is obtained by the search engine by utilizing the updated parameter information of the object to be searched, which is obtained by the information processing method provided by the embodiment of the invention.
A description of one embodiment is given below.
Referring to fig. 2, the technical solution provided by the embodiment of the present invention includes the following steps:
step 1: and (5) algorithm mining.
That is, all leaf categories in the whole category system are traversed, because all the commodities can belong to one leaf category corresponding to the commodity, the leaf categories are used for searching in a search engine to obtain statistical information of the commodity attribute values of the search engine, that is, attribute values contained in all the commodities are certain, each attribute value covers how many commodities, the statistical information of the commodity attribute values is contained in the information, all the attribute values belonging to the same attribute are found out, a synonym module (a function module) of the existing algorithm is used for identifying the attribute values of the same attribute, which attribute values belonging to the synonym under the attribute are found out, and the attribute values are scored, for example: synonyms with a score of 100 as the highest score and a score higher than 95 are considered to be synonymous; above 90 but below 95 are considered similar. Thus, the attribute values in the search results of all leaf categories are traversed, all the attributes with the same meaning and the similar meanings are found out, and an attribute value merging data is constructed:
304,303, 291492,293250,306028 are the same
303:52450,12698,25434: same
1034,1034783:49320,310762,310767: close
304:310749,302511: close
In the attribute value merged data, the number before the first colon represents the leaf category, the number between two colons represents a plurality of identical or similar attribute values, and the character after the last colon is the similarity result (identical or similar), such as: the first row of data means: under the two categories 304 and 303, the similarity between the attribute values 291492,293250,306028 under the same attribute is higher than 95 points, and the attribute values are judged to be the attribute values with the same meaning.
Step 2: and (5) manual intervention.
That is, the similarity result mined by the algorithm is utilized, but the attribute values judged to be similar in meaning are manually screened, for example, the 3 rd and 4 th rows of data in the above data are manually identified to be identical in meaning and need to be merged, and the data is finally retained in the attribute value merged data.
And step 3: and determining final attribute value merged data, namely merging the data mined by the algorithm and judged to have the same meaning with the data judged to have the same meaning manually to obtain the final attribute value merged data.
And 4, step 4: and acquiring commodity information from the database.
That is, the data of the commodity issued by the user is read from the database and is sent to the search engine, and the leaf category to which the commodity belongs and the attribute value and attribute of the commodity are included in the data.
And 5: and (5) intervening the final attribute value merging information into a search engine.
That is, the product information of all the products in the search engine is traversed, and if the category in the product information of a certain product belongs to the category in the attribute value combination information and the attribute value belongs to the attribute value in the attribute value combination information corresponding to the category, the attribute values of the multiple attribute values on the product are combined into one attribute value (either one attribute value in the attribute value combination data or one other preset standard attribute value) according to the attribute value combination information. Therefore, when the search engine counts the attribute, only the attribute value can be counted, and other attribute values are counted as the attribute value to obtain attribute value counting information.
Take the following row of attribute value merged data as an example
304,303, 291492,293250,306028 are the same
If a good belongs to category 304 and there is an attribute value of 293250 in the good, then the attribute value is changed to a first attribute value of 291492, and similarly, if a good belongs to category 303 and there is an attribute value of 306028 in the good, then the attribute value is changed to a first attribute value of 291492.
Step 6: the Web server calls a search engine to obtain the attribute value statistical information, namely the Web server calls the search engine according to the input condition of the user to obtain the statistical information of the attribute value, and the statistical information is displayed in the page. At this time, the attribute values with the same meaning and the similar meaning are all merged into one.
Such as: searching for a curtain, wherein the searched commodities comprise a commodity A and a commodity B, the commodities belong to the category of household soft decorations, and the category ID is as follows: 1046991. among the parameters of article a are "style: modern conciseness "and" color: orange color "; among the parameters of article B are "style: brief modern "and" color: orange color ". Both style and color are attributes.
In this case, if the prior art is adopted, the attribute of "style" can be seen in the search navigation block, and there are some corresponding attribute values, including "modern brief (179017)" and "brief modern (179234)"; the attribute "color" and corresponding attribute values are also visible, including "orange" (176044) and "orange" (160740). When the user clicks the attribute value of 'modern brief', the commodity B in the searched result is not available, and the commodity A is still available; similarly, when the user clicks on 'brief modern', the searched result does not contain the commodity A, and the commodity B is still in the search result.
However, in reality, "modern brevity" and "brief modern" are synonymous, and "orange" are also synonymous. Therefore, if the technical scheme provided by the embodiment of the invention is adopted, the similarity of modern simplicity and simplified modern convenience can be automatically scored as 100, and the similarity can be automatically identified as synonyms; and the similarity score of the "orange color" and the "orange color" is 92 scores, and the words are automatically recognized as similar words. This generates the following two lines of attribute value merged data:
1046991: 179017, 179234: are identical to each other
1046991: 176044, 160740: similarity of
Merging data according to the attribute values, displaying all data with similar tail ends (namely data in a second row) to an operator through an interface (the interface can display Chinese characters corresponding to the ID according to the attribute value ID and the configuration file of the attribute value name mapping relation), and changing the similarity in the data in the second row into the same if the manual judgment that the orange color and the orange color are synonymous; if the human judgment that "orange" and "orange" are not synonymous, then this deletes the data of the second row; this results in the final attribute value merged data.
In the process of constructing a search engine, traversing all commodities, merging data according to the final attribute value, and modifying the attribute value of the commodity, such as: traversing to item B, if item B is found to have an attribute value of 179234 (reduced modern), then it is replaced with 179017 (reduced modern), and if item B is found to have an attribute value of 160740 (orange), then it is replaced with 176044 (orange). When searching for the curtain, the commodity A and the commodity B are found, and then all the attribute values of the commodity A and the commodity B are counted, and the obtained statistical data are as follows: there are two items containing attribute values 179017 (modern conciseness) and two items containing attribute values 176044 (orange). Thus, the search navigation block includes the following information:
style: modern pact
Color: orange color
If the user clicks on 'modern concision', the commodities A and B can be searched.
If the technical scheme provided by the embodiment of the invention is not adopted to combine the attribute values, the statistical data should be as follows:
there are 1 item containing attribute value 179017 (modern concision), 1 item containing attribute value 179234 (concision modern), 1 item containing attribute value 176044 (orange), and 1 item containing attribute value 160740 (orange). Thus, the search navigation block includes the following information:
style: modern concision simple modern
Color: orange and orange
Therefore, the method and the device can automatically dig out the same and similar attribute values of all leaf categories, perform scoring judgment, provide the information of the dug-out similar attribute values for manual screening and configuration, finally output an attribute value merged datum, act the data in a search engine and finally act the data in a navigation block of a search page, simplify the information presented by the navigation block, enable the interface to be simpler, facilitate user search and improve the use efficiency of the search.
Corresponding to the method described above, an information processing apparatus provided in an embodiment of the present invention, referring to fig. 3, includes:
a first unit 11, configured to determine attribute value merging data of an object to be searched, and read parameter information of the object to be searched;
the second unit 12 is configured to update the parameter information of the object to be searched according to the attribute value merging data of the object to be searched, and store the updated parameter information of the object to be searched in the search engine; or giving prompt information whether the parameter information of the object to be searched needs to be updated according to the attribute value merging data of the object to be searched, updating the parameter information of the object to be searched according to the attribute value merging data of the object to be searched when the parameter information of the object to be searched needs to be updated, and storing the updated parameter information of the object to be searched in a search engine.
Optionally, the attribute value merged data of the object to be searched includes at least one row of data of correspondence between categories of the object to be searched and attribute values, and all attribute values corresponding to the categories of the object to be searched included in each row of the data of correspondence belong to the same attribute and have the same meaning.
Optionally, the parameter information of the object to be searched includes: the category, attribute and attribute value of the object to be searched.
Optionally, when the second unit updates the parameter information of the object to be searched according to the attribute value merging data of the object to be searched, the second unit is specifically configured to:
and for any object to be searched, if the category of the object to be searched is the same as one category in the attribute value merged data, and an attribute exists in the object to be searched, and the attribute value corresponding to the attribute is the same as one attribute value in all attribute values corresponding to the category in the attribute value merged data, updating the attribute value corresponding to the attribute of the object to be searched to a preset value.
Optionally, the preset value is one attribute value of all attribute values corresponding to the category in the attribute value merged data.
Optionally, the preset value is a first attribute value of all attribute values corresponding to the category in the attribute value merged data.
Optionally, when determining that the attribute values of the object to be searched merge data, the first unit is specifically configured to:
traversing all categories of the object to be searched, and for any category, if determining that the attribute values of a plurality of objects to be searched corresponding to the category have the same meaning under the same attribute, generating a row of data of the corresponding relationship between the category of the object to be searched and the attribute values by using the category and the attribute values with the same meaning under the same attribute.
Optionally, for any category, if it is determined that attribute values of multiple objects to be searched corresponding to the category have the same meaning under the same attribute, the first unit generates corresponding relationship data between the category and the attribute values of a row of objects to be searched by using the category, the attribute values of the category having the same meaning under the same attribute, and first indication information indicating that attribute values in the row have the same meaning.
Optionally, when determining the attribute value merged data of the object to be searched, the first unit is further configured to:
for any category, if it is determined that the attribute values of the plurality of objects to be searched corresponding to the category have similar meanings under the same attribute, generating corresponding relationship data of the category and the attribute values of a row of objects to be searched by using the category, the attribute values of the category having similar meanings under the same attribute, and second indication information for indicating the row that the attribute values have similar meanings.
Optionally, when determining the attribute value merged data of the object to be searched, the first unit is further configured to:
generating a verification interface by utilizing the corresponding relation data of the category and the attribute value of the object to be searched with the second indication information, and outputting and displaying;
and for any row of corresponding relation data of the category and the attribute value of the object to be searched with the second indication information, receiving an instruction for deleting the corresponding relation data of the category and the attribute value of the row of the object to be searched or changing the second indication information in the corresponding relation data of the category and the attribute value of the row of the object to be searched as the first indication information through the verification interface, executing the instruction, and taking the finally obtained corresponding relation data of the category and the attribute value of the object to be searched with the first indication information as attribute value merging data of the object to be searched.
The embodiment of the invention provides a searching device, which comprises:
a determination unit configured to determine a search target;
and the calling unit is used for calling a search engine to obtain attribute value statistical information of the search target, wherein the attribute value statistical information is obtained by the search engine by utilizing the updated parameter information of the object to be searched, which is obtained by the information processing device provided by the embodiment of the invention.
Optionally, the information processing apparatus provided by the embodiment of the present invention is further included.
Each of the above units may be implemented by a physical device such as a processor.
The server provided by the embodiment of the invention comprises the searching device provided by the embodiment of the invention. The server may be a server of an e-commerce platform, or may be a server of another application type.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims (22)

1. An information processing method, characterized in that the method comprises:
determining attribute value merging data of an object to be searched, and reading parameter information of the object to be searched;
updating the parameter information of the object to be searched according to the attribute value merging data of the object to be searched, and storing the updated parameter information of the object to be searched into a search engine; alternatively, the first and second electrodes may be,
giving prompt information whether parameter information of the object to be searched needs to be updated or not according to the attribute value merging data of the object to be searched, updating the parameter information of the object to be searched according to the attribute value merging data of the object to be searched when the parameter information of the object to be searched needs to be updated, and storing the updated parameter information of the object to be searched in a search engine;
the attribute value merging data of the objects to be searched comprises at least one row of corresponding relation data of categories and attribute values of the objects to be searched, and all the attribute values corresponding to the categories of the objects to be searched and included in each row of corresponding relation data belong to the same attribute and have the same meaning.
2. The method according to claim 1, wherein the parameter information of the object to be searched comprises: the category, attribute and attribute value of the object to be searched.
3. The method of claim 2, wherein updating the parameter information of the object to be searched according to the attribute value merging data of the object to be searched comprises:
and for any object to be searched, if the category of the object to be searched is the same as one category in the attribute value merged data, and an attribute exists in the object to be searched, and the attribute value corresponding to the attribute is the same as one attribute value in all attribute values corresponding to the category in the attribute value merged data, updating the attribute value corresponding to the attribute of the object to be searched to a preset value.
4. The method according to claim 3, wherein the predetermined value is one of all attribute values corresponding to the category in the attribute value merged data.
5. The method according to claim 4, wherein the predetermined value is a first attribute value of all attribute values corresponding to the category in the attribute value merged data.
6. The method according to claim 1, wherein the determining attribute value merged data of the object to be searched comprises:
traversing all categories of the object to be searched, and for any category, if determining that the attribute values of a plurality of objects to be searched corresponding to the category have the same meaning under the same attribute, generating a row of data of the corresponding relationship between the category of the object to be searched and the attribute values by using the category and the attribute values with the same meaning under the same attribute.
7. The method according to claim 6, wherein for any category, if it is determined that attribute values of a plurality of objects to be searched corresponding to the category have the same meaning under the same attribute, generating data of correspondence between the category and the attribute value of a row of objects to be searched by using the category and each attribute value having the same meaning under the same attribute specifically comprises:
for any category, if it is determined that the attribute values of the plurality of objects to be searched corresponding to the category have the same meaning under the same attribute, generating corresponding relationship data of the category and the attribute values of a row of objects to be searched by using the category, each attribute value of the category having the same meaning under the same attribute, and first indication information for indicating that the attribute values in the row have the same meaning.
8. The method of claim 7, wherein the determining attribute value merged data of the object to be searched further comprises:
for any category, if it is determined that the attribute values of the plurality of objects to be searched corresponding to the category have similar meanings under the same attribute, generating corresponding relationship data of the category and the attribute values of a row of objects to be searched by using the category, the attribute values of the category having similar meanings under the same attribute, and second indication information for indicating the row that the attribute values have similar meanings.
9. The method of claim 8, wherein determining attribute value merged data of the object to be searched further comprises:
generating a verification interface by utilizing the corresponding relation data of the category and the attribute value of the object to be searched with the second indication information, and outputting and displaying;
and for any row of corresponding relation data of the category and the attribute value of the object to be searched with the second indication information, receiving an instruction for deleting the corresponding relation data of the category and the attribute value of the row of the object to be searched or changing the second indication information in the corresponding relation data of the category and the attribute value of the row of the object to be searched as the first indication information through the verification interface, executing the instruction, and taking the finally obtained corresponding relation data of the category and the attribute value of the object to be searched with the first indication information as attribute value merging data of the object to be searched.
10. A method of searching, the method comprising:
determining a search target;
calling a search engine to obtain attribute value statistical information of the search target, wherein the attribute value statistical information is obtained by the search engine by using the parameter information of the updated object to be searched, which is obtained by the method of any claim 1 to 9.
11. An information processing apparatus characterized by comprising:
the device comprises a first unit, a second unit and a third unit, wherein the first unit is used for determining attribute value merging data of an object to be searched and reading parameter information of the object to be searched;
the second unit is used for updating the parameter information of the object to be searched according to the attribute value merging data of the object to be searched and storing the updated parameter information of the object to be searched into a search engine; or giving prompt information whether parameter information of the object to be searched needs to be updated according to the attribute value merging data of the object to be searched, updating the parameter information of the object to be searched according to the attribute value merging data of the object to be searched when the parameter information of the object to be searched needs to be updated, and storing the updated parameter information of the object to be searched in a search engine;
the attribute value merging data of the objects to be searched comprises at least one row of corresponding relation data of categories and attribute values of the objects to be searched, and all the attribute values corresponding to the categories of the objects to be searched and included in each row of corresponding relation data belong to the same attribute and have the same meaning.
12. The apparatus of claim 11, wherein the parameter information of the object to be searched comprises: the category, attribute and attribute value of the object to be searched.
13. The apparatus of claim 12, wherein the second unit, when updating the parameter information of the object to be searched according to the attribute value merging data of the object to be searched, is specifically configured to:
and for any object to be searched, if the category of the object to be searched is the same as one category in the attribute value merged data, and an attribute exists in the object to be searched, and the attribute value corresponding to the attribute is the same as one attribute value in all attribute values corresponding to the category in the attribute value merged data, updating the attribute value corresponding to the attribute of the object to be searched to a preset value.
14. The apparatus according to claim 13, wherein the predetermined value is one of all attribute values corresponding to the category in the attribute value merged data.
15. The apparatus according to claim 14, wherein the predetermined value is a first attribute value of all attribute values corresponding to the category in the attribute value merged data.
16. The apparatus according to claim 11, wherein the first unit, when determining the attribute value merged data of the object to be searched, is specifically configured to:
traversing all categories of the object to be searched, and for any category, if determining that the attribute values of a plurality of objects to be searched corresponding to the category have the same meaning under the same attribute, generating a row of data of the corresponding relationship between the category of the object to be searched and the attribute values by using the category and the attribute values with the same meaning under the same attribute.
17. The apparatus according to claim 16, wherein for any category, if it is determined that attribute values of a plurality of objects to be searched corresponding to the category have the same meaning under the same attribute, the first unit generates the correspondence data between the category and the attribute values of a row of objects to be searched, using the category and the attribute values under the same attribute having the same meaning, and the first indication information indicating that the attribute values in the row have the same meaning.
18. The apparatus of claim 17, wherein the first unit, when determining attribute value merged data of the object to be searched, is further configured to:
for any category, if it is determined that the attribute values of the plurality of objects to be searched corresponding to the category have similar meanings under the same attribute, generating corresponding relationship data of the category and the attribute values of a row of objects to be searched by using the category, the attribute values of the category having similar meanings under the same attribute, and second indication information for indicating the row that the attribute values have similar meanings.
19. The apparatus of claim 18, wherein the first unit, when determining attribute value merged data of the object to be searched, is further configured to:
generating a verification interface by utilizing the corresponding relation data of the category and the attribute value of the object to be searched with the second indication information, and outputting and displaying;
and for any row of corresponding relation data of the category and the attribute value of the object to be searched with the second indication information, receiving an instruction for deleting the corresponding relation data of the category and the attribute value of the row of the object to be searched or changing the second indication information in the corresponding relation data of the category and the attribute value of the row of the object to be searched as the first indication information through the verification interface, executing the instruction, and taking the finally obtained corresponding relation data of the category and the attribute value of the object to be searched with the first indication information as attribute value merging data of the object to be searched.
20. A search apparatus, comprising:
a determination unit configured to determine a search target;
a calling unit, configured to call a search engine to obtain attribute value statistical information of the search target, where the attribute value statistical information is obtained by the search engine using the updated parameter information of the object to be searched, which is obtained by the apparatus according to any one of claims 10 to 19.
21. The apparatus of claim 20, further comprising the apparatus of any one of claims 10-19.
22. A server, characterized in that it comprises the apparatus of claim 20 or 21.
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