CN112445942A

CN112445942A - Recommendation method, device and equipment for search conditions and storage medium

Info

Publication number: CN112445942A
Application number: CN201910824296.1A
Authority: CN
Inventors: 夏宇彬; 袁明; 孙敏; 蔡洁; 张�成
Original assignee: Smart Bud Information Technology Suzhou Co ltd
Current assignee: Smart Bud Information Technology Suzhou Co ltd
Priority date: 2019-09-02
Filing date: 2019-09-02
Publication date: 2021-03-05

Abstract

The embodiment of the invention discloses a recommendation method, a recommendation device and a recommendation storage medium of search conditions. The recommendation method comprises the following steps: acquiring a first retrieval condition input by a user; generating a first recommended retrieval element according to the first retrieval condition; and generating a second retrieval condition according to the adjustment of the first recommended retrieval element by the user. The embodiment of the invention realizes the recommendation function of optimizing the retrieval conditions and enhances the retrieval experience of the user.

Description

Recommendation method, device and equipment for search conditions and storage medium

Technical Field

The embodiment of the invention relates to a retrieval technology, in particular to a method, a device, equipment and a storage medium for recommending retrieval conditions.

Background

The retrieval is a core function of an IT system, a search engine or a SaaS application which provide data services, and the retrieval result page generated by aiming at different retrieval keywords or retrieval formulas is used for previewing results, operating or optimizing the retrieval formula for further searching. Patent retrieval is a process of selecting documents or information meeting a specific requirement from a large number of patent documents or patent databases according to one or several characteristics. The growth of enterprises has a very important role in saving and improving global productivity.

In the conventional patent search, a search person can obtain a patent document related to a keyword or the content of a patent document as a search condition. Generally speaking, the patent documents obtained by the searcher in the search are not the patent documents that the searcher wants to obtain, because there are a lot of other expansion words similar to the semanteme of the keywords, and the searcher needs to add the words into the search conditions, but this is not easy and inconvenient for the searcher, besides, the keywords may have completely different meanings in different fields, so the searcher can obtain a lot of patent documents irrelevant to the field in the search, and therefore it is also necessary to add classification numbers into the search conditions, but this is also not easy and inconvenient for the searcher, especially for the non-professional searcher. Therefore, with the conventional search method, it may take a lot of time for a searcher to search more comprehensively and obtain a desired patent document.

Disclosure of Invention

The embodiment of the invention provides a recommendation method, a recommendation device and a storage medium of search conditions, which are used for realizing the recommendation function of optimizing the search conditions and enhancing the search experience of a user.

To achieve the object, an embodiment of the present invention provides a recommendation method for a search condition, where the recommendation method includes:

acquiring a first retrieval condition input by a user;

generating a first recommended retrieval element according to the first retrieval condition;

and generating a second retrieval condition according to the adjustment of the first recommended retrieval element by the user.

Further, the first recommended search element includes a keyword and a classification number.

Further, the generating a first recommended search element according to the first search condition includes:

performing feature extraction on the first retrieval condition to obtain a first keyword;

acquiring a first expanded keyword related to the first keyword and/or acquiring a first classification number related to the first keyword and/or the first expanded keyword;

and generating the first recommended retrieval element according to the first keyword, the first expanded keyword and/or the first classification number.

performing feature extraction on the first retrieval condition to obtain a first keyword, and generating a first retrieval result according to the first keyword;

acquiring a first expanded keyword related to the first retrieval result and/or acquiring a first classification number related to the first retrieval result and/or the first expanded keyword;

and generating a first recommended retrieval element according to the first keyword, the first expanded keyword and/or the first classification number.

Further, the obtaining a first expanded keyword related to the first search result, and/or obtaining a first classification number related to the first search result and/or the first expanded keyword includes:

sorting the first retrieval results according to a preset rule, and confirming that the first retrieval results with the preset number at the front of the sorting are first recommendation results;

and acquiring a first expanded keyword of the text content at the preset position of the first recommendation result and/or a first classification number corresponding to the text content at the preset position of the first recommendation result, wherein the first expanded keyword is matched with the first keyword, and the technical field of the first classification number is the same as or similar to that of the text content at the preset position of the first recommendation result.

Further, the generating a second search condition according to the adjustment of the first recommended search element by the user includes:

displaying the first recommended search element;

and generating a second retrieval condition according to the selection of the first keyword, the first expanded keyword and/or the first classification number by the user.

displaying the first recommended search element;

and generating a second retrieval condition according to the selection of the first recommended retrieval element by the user.

Further, the generating of the second search condition according to the selection of the first keyword, the first expanded keyword and/or the first classification number by the user includes:

receiving an adding and/or deleting instruction of a user for the first keyword, the first expanded keyword and/or the first classification number;

adding and/or deleting one or more of the first keyword, first expanded keyword, and/or first category number based on the add and/or delete instruction;

the second search condition is generated based on the first keyword, the first expanded keyword, and/or the first classification number retained after the adding and/or deleting action.

Further, after generating the second search condition according to the adjustment of the first recommended search element by the user, the method includes:

generating a second retrieval result according to the second retrieval condition, and generating a second recommended retrieval element according to the second retrieval result;

generating a third retrieval condition according to the adjustment of the second recommended retrieval element by the user;

and generating a third retrieval result according to the third retrieval condition.

Further, the generating a second search result according to the second search condition and generating a second recommended search element according to the second search result includes:

performing feature extraction on the second retrieval condition to obtain a second keyword, and generating a second retrieval result according to the second keyword;

sorting the second retrieval results according to a preset rule, and confirming that the second retrieval results with the preset number in front of the sorting are second recommendation results;

acquiring a second expanded keyword of the text content at the preset position of the second recommendation result and/or a second classification number corresponding to the text content at the preset position of the second recommendation result, wherein the second expanded keyword is matched with the second keyword, and the technical field of the second classification number is the same as or similar to that of the text content at the preset position of the second recommendation result;

and generating a second recommended retrieval element according to the second keyword, the second expanded keyword and/or the second classification number.

Further, the generating a third search condition according to the adjustment of the second recommended search element by the user includes:

displaying the second recommended search element;

and generating a third retrieval condition according to the selection of the user on the second keyword, the second expanded keyword and/or the second classification number.

displaying the second recommended search element;

and generating a third retrieval condition according to the selection of the second recommended retrieval element by the user.

Further, the generating a third search condition according to the selection of the user on the second keyword, the second expanded keyword and/or the second category number includes:

receiving an adding and/or deleting instruction of a user for the second keyword, the second expanded keyword and/or the second classification number;

adding and/or deleting one or more of the second keywords, second expanded keywords, and/or second category numbers based on the add and/or delete instructions;

generating a third search condition based on the second keyword, the second expanded keyword, and/or the second classification number retained after the adding and/or deleting action.

Further, the generating a second search result according to the second search condition includes:

generating a first search formula according to the second search condition;

executing retrieval according to the first retrieval formula to obtain a second retrieval result;

and displaying the second retrieval result on a retrieval result interface.

Further, the generating a third search result according to the third search condition includes:

generating a second search formula according to the third search condition;

performing a search according to the second search formula to obtain the third search result;

and displaying the second retrieval result and the third retrieval result on a retrieval result interface.

Further, the obtaining the second search result and the third search result on the search result interface includes:

displaying the second retrieval result in a common display mode on the retrieval result interface;

and displaying the third retrieval result in a highlighted mode on the retrieval result interface.

Further, the displaying the third search result with a highlighted display on the search result interface includes:

highlighting the characters of the third search result through a preset color, and/or

Highlighting text of the third search result in bold format, and/or

Highlighting text of the third search result by italics, and/or

And highlighting the background of the third retrieval result through a preset background color.

Further, the displaying the second search result and the third search result on the search result interface includes:

displaying a third retrieval result which is the same as the second retrieval result in a common display mode on the retrieval result interface;

and displaying a third retrieval result different from the second retrieval result in a highlighted mode on the retrieval result interface.

Further, the displaying the second search result and the third search result on the search result interface further includes:

and further displaying a result screening control on the retrieval result interface, wherein the result screening control is used for selecting and displaying one or all of the second retrieval result and the third retrieval result.

On one hand, an embodiment of the present invention further provides a recommendation apparatus for search conditions, where the recommendation apparatus includes:

the acquisition module is used for acquiring a first retrieval condition input by a user;

the recommending module is used for generating a first recommended retrieval element according to the first retrieval condition;

and the adjusting module is used for generating a second retrieval condition according to the adjustment of the first recommended retrieval element by the user.

Further, the recommendation module is further configured to:

Further, the adjusting module is further configured to:

displaying the first recommended search element;

Further, the adjusting module is further configured to:

displaying the first recommended search element;

Further, the adjusting module is further configured to:

Furthermore, the device also comprises a matching module,

the recommending module is also used for generating a second recommending retrieval element according to the second retrieval result;

the adjusting module is further used for generating a third retrieval condition according to the adjustment of the second recommended retrieval element by the user;

the matching module is used for generating a second retrieval result according to the second retrieval condition and generating a third retrieval result according to the third retrieval condition.

Further, the matching module is further configured to perform feature extraction on the second search condition to obtain a second keyword, and generate a second search result according to the second keyword;

the recommending module is further used for sequencing the second retrieval results according to a preset rule and confirming that the second retrieval results with the preset number in the front sequencing are second recommending results;

Further, the recommendation module is further configured to:

displaying the second recommended search element;

Further, the recommendation module is further configured to:

displaying the second recommended search element;

Further, the recommendation module is further configured to:

Further, the matching module is further configured to:

generating a first search formula according to the second search condition;

and displaying the second retrieval result on a retrieval result interface.

Further, the matching module is further configured to:

generating a second search formula according to the third search condition;

Further, the matching module is further configured to:

Highlighting text of the third search result in bold format, and/or

Highlighting text of the third search result by italics, and/or

Further, the matching module is further configured to:

On the other hand, an embodiment of the present invention further provides a recommendation device for a search condition, where the recommendation device includes:

one or more processors;

a storage device for storing one or more programs,

when executed by the one or more processors, cause the one or more processors to implement the recommendation method as provided in any of the embodiments of the invention.

In still another aspect, an embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the recommendation method provided in any embodiment of the present invention.

The embodiment of the invention obtains a first retrieval condition input by a user; generating a first recommended retrieval element according to the first retrieval condition; and generating a second retrieval condition according to the adjustment of the first recommended retrieval element by the user, solving the problem of inconvenience in inputting expansion words and classification numbers in retrieval, realizing the recommendation function of optimizing the retrieval condition and enhancing the effect of user retrieval experience.

Drawings

Fig. 1 is a schematic flowchart of a method for recommending search conditions according to an embodiment of the present invention;

fig. 2 is a flowchart illustrating a method for recommending search conditions according to a second embodiment of the present invention;

fig. 3 is a schematic view of a first refined screen in a recommendation method for search conditions according to a second embodiment of the present invention;

fig. 4 is a schematic view of a secondary refining screen in a method for recommending search conditions according to a second embodiment of the present invention;

fig. 5 is a flowchart illustrating a method for recommending search conditions according to a third embodiment of the present invention;

fig. 6 is a schematic view of a feedback refining screen in a recommendation method for search conditions according to a third embodiment of the present invention;

fig. 7 is a flowchart illustrating a method for recommending search conditions according to a fourth embodiment of the present invention;

fig. 8 is a flowchart illustrating a method for recommending search conditions according to a fifth embodiment of the present invention;

fig. 9 is a flowchart illustrating a recommendation method for search conditions according to a sixth embodiment of the present invention;

fig. 10 is a schematic view of a recommendation result interface in a recommendation method for search conditions according to a sixth embodiment of the present invention;

fig. 11 is a schematic view of a recommendation result interface in a recommendation method for search conditions according to a sixth embodiment of the present invention;

fig. 12 is a schematic structural diagram of a recommendation device according to a seventh embodiment of the present invention;

fig. 13 is a schematic structural diagram of a recommendation device according to an eighth embodiment of the present invention.

Detailed Description

The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are for purposes of illustration and not limitation. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.

Before discussing exemplary embodiments in more detail, it should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart may describe the steps as a sequential process, many of the steps can be performed in parallel, concurrently or simultaneously. In addition, the order of the steps may be rearranged. A process may be terminated when its operations are completed, but may have additional steps not included in the figure. A process may correspond to a method, a function, a procedure, a subroutine, a subprogram, etc.

Furthermore, the terms "first," "second," and the like may be used herein to describe various orientations, actions, steps, elements, or the like, but the orientations, actions, steps, or elements are not limited by these terms. These terms are only used to distinguish one direction, action, step or element from another direction, action, step or element. For example, a first search result may be referred to as a second search result, and similarly, a second search result may be referred to as a first search result, without departing from the scope of the present application. Both the first search result and the second search result are search results, but they are not the same search result. The terms "first", "second", etc. are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, features defined as "first", "second", may explicitly or implicitly include one or more of the described features. In the description of the embodiments of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.

Example one

As shown in fig. 1, an embodiment of the present invention provides a method for recommending a search condition, where the method includes:

s110, acquiring a first retrieval condition input by a user.

In this embodiment, the first search condition may be one or more of a keyword, a keyword combination, and text content input from the search input interface. And when the first search condition is a keyword or a keyword combination, setting the keyword or the keyword combination as a search formula. Specifically, the manner of obtaining the keyword or the keyword combination input by the user may be that the user manually inputs the keyword or the keyword combination through an external device, for example, the user inputs the keyword or the keyword combination by pressing a control on a keyboard, or the user inputs the keyword or the keyword combination through a voice form, for example, the user may input the keyword or the keyword combination through a voice, "toothbrush," by a voice of the user, obtain the voice input by the user, convert the voice input by the user into a text form through a voice recognition technology, and further obtain the keyword input by the user, or obtain the keyword or the keyword combination input by the user through other manners, for example, obtain the keyword or the keyword combination input by the user through a gesture, and the like, which is not limited in this embodiment of the present invention.

And S120, generating a first recommended search element according to the first search condition.

In this embodiment, the first recommended search element may be generated according to the trained neural network model, where the first recommended search element is one or more recommended keywords or recommended keyword combinations corresponding to one or more keywords or keyword combinations in the first search condition, a classification number corresponding to the one or more keywords or keyword combinations, and a classification number corresponding to the one or more recommended keywords or recommended keyword combinations.

In addition, a plurality of options can be set, so that a user can select and set the number of recommended keywords and/or classification numbers to be extracted, for example, one option is to recommend 10 recommended keywords and/or 5 classification numbers, for example, one option is to recommend 2 recommended keywords and/or 1 classification number, and the number of recommended keywords and/or classification numbers to be recommended can be set by the user according to the needs of the user. Another possible implementation manner is that setting a plurality of options for each keyword enables a user to select and set the number of recommended keywords and/or category numbers to be extracted, for example, one option is the number of recommended keywords to be recommended for setting the first keyword, one option is the number of category numbers to be recommended, and a corresponding number of options may be set according to the number of keywords.

And extracting all recommended keywords or recommended keyword combinations and classification numbers according to the method, omitting the extracted same recommended keyword combinations and classification numbers, and taking all recommended keywords or recommended keyword combinations and classification numbers as first recommended retrieval elements. When a user clicks a first recommended search element to be generated, or the user provides the first recommended search element through another mode command, a new popup window is formed, a part of the popup window displays a first search condition input by the user, another part of the popup window displays the first recommended search element, and the first recommended search element may include or exclude the first search condition, wherein a recommended keyword and a classification number in the first recommended search element corresponding to a keyword in the first search condition may be highlighted in the same color for a text or a ground color, so as to facilitate the user to distinguish a certain keyword and a recommended keyword corresponding to the certain keyword from other keywords, and in the embodiment of the present invention, the mode of achieving the distinction is not limited, for example, keywords input by the user include "toothbrush" and "vibration", recommended keywords are "dental implement" and "vibration", the classification number is 'A61C 17/22', the corresponding text parts of 'toothbrush' and 'tooth tool' can be displayed in red, and the corresponding text parts of 'vibration' and 'A61C 17/22' can be displayed in yellow.

In addition, when a keyword corresponds to a plurality of recommended keywords and a plurality of classification numbers, the keyword and the corresponding recommended keyword and the plurality of classification numbers may be arranged according to a preset rule, for example, the keyword input by the user includes "toothbrush" and "vibration", the recommended keyword is "dental tool", "electric toothbrush", "vibration" and "mechanical vibration", the classification number is "a 61C 17/22" and "a 61C 17/00", the "toothbrush", "dental tool" and "electric toothbrush" are sequentially displayed in the first vertical row, "vibration" and "mechanical vibration" are sequentially displayed in the second vertical row, the "a 61C 17/22" and "a 61C 17/00" are sequentially displayed in the third vertical row, and optionally, the ground color of each of the keywords or the recommended keywords is displayed in the same color. Similarly, the same arrangement can be carried out on the same horizontal row.

In an alternative embodiment, a popup window may not be generated, and when the user clicks to generate the first recommended search element, or the user commands to provide the first recommended search element in another way, the first recommended search element is directly displayed on an interface where the user inputs the first search condition.

And S130, generating a second search condition according to the adjustment of the first recommended search element by the user.

In this embodiment, on the basis of the display method, each keyword, recommended keyword, and classification number includes an option of "X", and when a user clicks or otherwise instructs to use the option, the corresponding keyword, recommended keyword, and classification number are removed from the first recommended search element. The second portion also includes an option to add keywords and/or category numbers, which when clicked or otherwise commanded to be used by the user, a new pop-up window will appear, in which the user can enter the recommended keyword, keyword combination or category number, after the user determines the input recommended keywords, keyword combinations or classification numbers, the small popup window is closed, the trained neural network model analyzes the relationship between the recommended keywords, keyword combinations or classification numbers and the keywords and classification numbers in the current first recommended retrieval element, the recommended keywords and/or the related classification numbers similar to the keywords in the current first recommended retrieval element in semantic are displayed at the bottommost part of the corresponding vertical row, and the recommended keywords irrelevant to the keywords or classification numbers in the current first recommended retrieval element are displayed in a new vertical row. In alternative embodiments, the option of adding keywords and/or classification numbers may also upload documents or texts sorted by the user to import other keywords and/or classification numbers.

In an alternative embodiment, instead of a new pop-up window, an input box for recommended keywords, keyword combinations, and/or classification numbers may be displayed directly on the current page.

Example two

As shown in fig. 2, a second embodiment of the present invention is further optimized on the basis of the first embodiment of the present invention, and the second embodiment of the present invention provides a recommendation method for search conditions, where the recommendation method includes:

s210, acquiring a first retrieval condition input by a user.

In this embodiment, when the first search condition is a text content, the text content is set to be a search formula. Specifically, the manner of obtaining the text content input by the user may be that the user manually inputs the text content through an external device, for example, the user inputs the text content by pressing a control on a keyboard, or the user inputs the text content in a voice form, for example, the user inputs the text content by voice, "the toothbrush according to claim 1, is characterized by including a head portion capable of vibrating," obtaining the voice input by the user, converting the voice input by the user into a text form by using a voice recognition technology, and further obtaining the text content input by the user, or obtaining the text content input by the user in other manners, for example, obtaining the text content input by the user through a gesture, which is not limited in this embodiment of the present invention.

S220, performing feature extraction on the first retrieval condition to obtain a first keyword.

In this embodiment, the text content needs to be processed first, that is, all words of "claim" and "characterized by" are removed, all words of "the" are extracted and removed after "characterized by" and the words of "the" are also extracted and removed after all words of "embodiment", which is not limited in this embodiment of the present invention. And taking all the extracted words as first keywords.

As shown in fig. 3, in the search box of the search page, a split option is included, and when a user clicks or otherwise instructs to use the option, a popup window appears, where the popup window includes a first portion 210 and a second portion 220, the first portion 210 displays text content input by the user, the second portion 220 displays one or more split first keywords, and optionally, the first keywords in the second portion 220 and the first keywords corresponding to the text content in the first portion 210 are highlighted with the same color for a text or a background color.

In addition, the popup window further includes a third portion 230, where the third portion 230 includes options of a previous step and a next step, and when the user clicks or otherwise commands use of the option of the previous step, the user returns to the page for inputting the first search condition, and when the user clicks or otherwise commands use of the option of the next step, the user converts the plurality of first keywords into the first search formula for search. Optionally, the third portion 230 further includes a description content, the description content is an explanation of the popup, for example, the description content includes the following titles: "first refinement" includes the following description "we split the following keywords for you according to the search text: ", the second portion 220 may be disposed directly below the third portion 230, and the first portion 210 may be disposed at the side of the second portion 220 and the third portion 230.

S230, obtaining a first expanded keyword related to the first keyword, and/or obtaining a first classification number related to the first keyword and/or the first expanded keyword.

S240, generating the first recommendation retrieval element according to the first keyword, the first extension keyword and/or the first classification number.

And S250, displaying the first recommended search element.

In this embodiment, a plurality of first expanded keywords similar to the plurality of first keywords may be generated according to the trained neural network model and/or a first classification number related to the first keyword and/or the first expanded keyword may be obtained, optionally, the first keyword is vectorized and then the first expanded keyword with a high semantic similarity is found in the word stock, and one or more classification numbers related to the plurality of first keywords and/or corresponding to the first expanded keyword are obtained according to the trained neural network model, where each keyword does not necessarily correspond to a classification number, and only the classification number of the keyword having the corresponding classification number is obtained.

In one embodiment, referring to fig. 4 together, a first portion 250 of the pop-up window is a first search condition input by a user, a second portion 260 of the pop-up window further includes an expansion option, when the user clicks or otherwise commands to use the expansion option, a first expansion keyword and a first keyword are displayed in the second portion 260, when one first keyword corresponds to a plurality of first expansion keywords, the first keyword and the corresponding first expansion keyword may be arranged according to a preset rule, for example, the split first keyword includes "toothbrush" and "vibration", the first expansion keyword is "dental appliance", "electric toothbrush", "vibration" and "mechanical vibration", the "toothbrush", "dental appliance" and the "electric toothbrush" are sequentially displayed in a first vertical row, the "vibration", "vibration" and "mechanical vibration" are sequentially displayed in a second vertical row, optionally, the base color of the first keyword or the first expanded keyword in each vertical row is displayed in the same color.

In addition, when the user clicks or instructs to use the expanded option by other means, the second portion 260 may further display the Classification number 240, the Classification number 240 of this embodiment may be IPC Classification numbers a61C17/22 and a61C17/34, or CPC Classification numbers a46B9/025 and a46B9/026, fig. 5 only exemplifies IPC Classification numbers (international Patent Classification) and CPC Classification numbers (joint Patent Classification), and may further include other Classification manners such as localno Classification (localno Classification), the Classification number 240 is obtained by searching or other manners according to a plurality of first keywords, and may also be obtained by displaying the number 240 of each Classification manner in the same row or the same vertical row, and the Classification number 240 of the same Classification manner may be displayed by highlighting the same color or high-color text with the same base color, the second portion 260 also includes color examples of the different taxonomy classification numbers 240. The category number 240 may show only major categories or may show specific to minor categories. When the user long presses or moves the mouse to a certain classification number 240 and stops, a pop-up window will appear to display the specific Chinese meaning represented by the classification number 240, for example, when the user long presses or moves the mouse to "A61C 17/22" and stops, the pop-up window will display "A-essential for human life, A61-medical or veterinary; hygiene, a 61C-dentistry; devices or methods for oral or dental hygiene, A61C 17/00-devices for cleaning, polishing, rinsing or drying teeth, dental cavities or prostheses, A61C 17/22-with brushes, bumpers, cups or the like ". Similarly, each category number 240 in the second portion 260 includes an "X" selection, and when the user clicks on or otherwise commands use of the selection, the corresponding category number 240 is removed from the first search criteria. In the part of the classification number 240, an option of adding the classification number 240 is further included, when the user clicks or otherwise commands to use the option, a new tabble window appears, the user can input a new classification number 240 in the tabble window, after the user determines the input new classification number 240, the tabble window is closed, the trained neural network model analyzes the relationship between the new classification number 240 and the current classification number 240, the classification number 240 is displayed in the classification number 240 of the same classification mode, the same color is displayed, and the classification number 240 with the same meaning as the new classification number 240 is correspondingly displayed in the classification numbers 240 of other classification modes. Optionally, the information of the patent family can also be displayed in the same display mode. In alternative embodiments, the option of adding a classification number 240 may also upload user-collated documents or text to import other classification numbers 240. In an alternative embodiment, when the user clicks on any of the category numbers 240, the keywords corresponding to that category number 240 may be highlighted.

When the user clicks on or otherwise commands use of the expansion option, the third portion 270 also changes accordingly, such as the description including the title: "second refinement" includes the description "we have expanded the following keywords and classification numbers for you according to the search text: ".

In this embodiment, each first keyword in the second portion 260 includes an option of "X", and when the user clicks or otherwise commands use of the option, the corresponding first keyword is removed from the first search criteria.

S260, generating a second retrieval condition according to the selection of the first keyword, the first expanded keyword and/or the first classification number by the user.

In this embodiment, on the basis of the display method, each keyword or recommended keyword includes an option of "X", and when the user clicks or otherwise instructs to use the option, the corresponding keyword or recommended keyword is removed from the first recommended search element. In addition, the second part 120 further includes an option of adding a keyword, when the user clicks or otherwise instructs to use the option, a new pop-up window will appear, the user can input a recommended keyword or a combination of keywords in the pop-up window, when the user determines the input recommended keyword or combination of keywords, the pop-up window is closed, the trained neural network model analyzes the relationship between the recommended keyword or combination of keywords and the keyword in the current first recommended search element, the recommended keyword having a semantic similar to the keyword in the current first recommended search element is displayed at the bottom of the corresponding vertical row, and the recommended keyword having no relationship with the keyword in the current first recommended search element is displayed in the new vertical row. In an alternative embodiment, the option of adding the keyword may also upload documents or texts finished by the user to import other keywords.

In addition, the pop-up window includes a third portion 270, the third portion 270 includes options for the previous step and the next step, when the user clicks on, or otherwise commands use of, the previous option, the user will return to the page on which the first search criteria was entered, when the user clicks or orders to use the next option by other means, the first recommended search element is converted into a second search formula for searching, wherein the relation of the keywords in a single vertical row in the first recommended search element in the search formula is 'OR', the relation of the keywords in each vertical row AND other vertical rows in the search formula is 'AND', for example, when the keywords in the first vertical row in the recommended search formula are "toothbrush" and "toothbrush head", and the keywords in the second vertical row are "vibration" and "vibration", the search formula of the second search condition is ((toothbrush or toothbrush head) and (vibration or vibration)). In an alternative embodiment, the keyword relationship between the first vertical row and the second vertical row may also be adjusted according to a preset control or menu when needed, the second portion 260 may be disposed right below the third portion 270, and the first portion 260 may be disposed at the side of the second portion 260 and the third portion 270. In an alternative embodiment, the interfaces of the first portion 260, the second portion 260, and the third portion 270 may be independent window controls, and the positional relationship among the three may also be flexibly adjusted as needed. For example, the second portion 260 may be disposed directly above the third portion 270, and the first portion 260 may be disposed above the second portion 260 and the third portion 270.

In an alternative embodiment, the popup window or the minipopup window may not appear, but may be directly displayed in another area of the page where the user inputs the first search condition.

According to the embodiment of the invention, through splitting and expanding the text content and expanding the search number during the initial search, the problem that the input of expansion words and classification numbers 240 is inconvenient in the search is solved, the search function is optimized, and the effect of enhancing the search experience of a user is realized.

EXAMPLE III

As shown in fig. 5, a third embodiment of the present invention is further optimized on the basis of the first embodiment of the present invention, and the third embodiment of the present invention provides a recommendation method for a search condition, where the recommendation method includes:

s310, acquiring a first retrieval condition input by a user.

S320, extracting the characteristics of the first search condition to obtain a first keyword, and generating a first search result according to the first keyword.

S330, sorting the first retrieval results according to a preset rule, and confirming that the first retrieval results with the preset number in the front sorting are first recommendation results.

In this embodiment, the patent document library may include all published patent documents or patent application documents, may also be a thesis, and may also be other structured documents, which is not limited in this embodiment of the present invention. The embodiment can directly search in the patent document library according to the search formula of the keyword or the keyword combination to obtain a first search result, wherein the first search result comprises all published patent documents or patent application documents related to the keyword or the keyword combination in the patent document library.

In an embodiment, the first search result may simultaneously show the relevant matching degrees of the published patent documents related to the keyword or the keyword combination, where the range of the relevant matching degrees is 0% to 100%, and a possible implementation manner is to display only the published patent documents with the relevant matching degrees of more than 50% by default. In addition, a plurality of options can be provided, so that the user can select and set the interval range displaying the relevant matching degree, for example, one option is to display published patent documents with the relevant matching degree of more than 80%, one option is to display published patent documents with the relevant matching degree of more than 20%, and the method further comprises one option, so that the user can set the relevant matching degree of the published patent documents needing to be displayed according to the self requirement. Another possible embodiment is that a plurality of options may be set, so that a user may select and set the number of published patent documents displaying the first search result, for example, one option is to display 10 published patent documents, where the displayed 10 published patent documents are the top 10 published patent documents with the relevant matching degree ranked from high to low, for example, one option is to display 100 published patent documents, where the displayed 100 published patent documents are the top 100 published patent documents with the relevant matching degree ranked from high to low, and further includes an option so that the user may set the number or the ranking of the published patent documents to be displayed according to the user's own needs.

When the key words or key word combinations input by the user comprise a preset formula, searching according to the formula to obtain a first search result, and if the key words or key word combinations input by the user do not comprise the preset formula, analyzing the relation among the key words or key word combinations through a trained neural network model, giving a search formula, and searching according to the search formula to obtain the first search result.

S340, obtaining a first expanded keyword of the text content at the preset position of the first recommendation result and/or a first classification number corresponding to the text content at the preset position of the first recommendation result, wherein the first expanded keyword is matched with the first keyword, and the technical field of the first classification number is the same as or similar to that of the text content at the preset position of the first recommendation result.

In this embodiment, in addition to the method provided in the second embodiment of the present invention, the extraction method may also use methods such as word frequency, tfidf, text-rank, and their variants to expand the keywords to obtain a plurality of recommended keywords and a plurality of recommended category numbers. One possible implementation manner is to determine whether to use the classification number as the recommended classification number based on the occurrence frequency of the keywords and the classification numbers corresponding to the recommended keywords, for example, first obtain the classification numbers corresponding to all the keywords, and when the proportion of one classification number in all the classification numbers is greater than 50%, use the classification number as the recommended classification number. Optionally, it may also be determined whether to use the classification number as the recommended classification number based on the hierarchical relationship of the classification numbers, for example, first obtain the classification numbers corresponding to all keywords, and when more than 50% of the classification numbers belong to the first large class, use the first large class as the recommended classification number. Optionally, a model can be trained according to the co-occurrence relationship between the classification numbers in the patent database to expand more classification numbers associated with one classification number. In the literature metrology, the co-occurrence relationship can be simply understood as a relationship in which keywords co-occur, in the literature metrology, the co-occurrence method of the keywords is often used to determine the relationship between the topics in the disciplines represented by the literature sets, and in this embodiment, the co-occurrence relationship can also be used in the classification number.

S350, generating a first recommended retrieval element according to the first keyword, the first expanded keyword and/or the first classification number.

And S360, displaying the first recommended retrieval element.

S370, receiving an adding and/or deleting instruction of the user aiming at the first keyword, the first expanded keyword and/or the first classification number.

S380, adding and/or deleting one or more of the first keywords, the first expanded keywords and/or the first classification numbers based on the adding and/or deleting instructions;

s390, generating a second retrieval condition based on the first keyword, the first expanded keyword and/or the first classification number reserved after the adding and/or deleting action.

In this embodiment, referring to fig. 6 together with the above display method, the first part 310 is the first search condition input by the user, each keyword or recommended keyword includes an option of "X", and when the user clicks or otherwise instructs to use the option, the corresponding keyword or recommended keyword is removed from the recommended search condition. In addition, the second part 320 further includes an option of adding a keyword, when the user clicks or otherwise instructs to use the option, a new small popup will appear, the user can input a recommended keyword or a combination of keywords in the small popup, after the user determines the input recommended keyword or combination of keywords, the small popup is closed, the trained neural network model analyzes the relationship between the recommended keyword or combination of keywords and the keywords in the current recommended search condition, the recommended keyword having a semantic similar to the keywords in the current recommended search condition is displayed at the lowest part of the corresponding vertical row, and the recommended keyword having no relationship with the keywords in the current recommended search condition is displayed in the new vertical row. In an alternative embodiment, the option of adding the keyword may also upload documents or texts finished by the user to import other keywords.

In addition, the pop-up window includes a third portion 330, the third portion 330 includes options for the previous step and the next step, when the user clicks on, or otherwise commands use of, the previous option, the user will return to the page showing the first search result, when the user clicks or orders to use the next option by other means, the recommended search condition is converted into a second search formula for searching, wherein the relation of the keywords in a single vertical row in the recommended search condition in the search formula is 'OR', the relation of the keywords in each vertical row AND other vertical rows in the search formula is 'AND', for example, when the keywords in the first vertical row in the recommended search formula are "toothbrush" and "toothbrush head", and the keywords in the second vertical row are "vibration" and "vibration", the search formula of the second search condition is ((toothbrush or toothbrush head) and (vibration or vibration)). In an alternative embodiment, the keyword relationship between the first vertical line and the second vertical line may also be adjusted according to a preset control or a menu as needed, optionally, the third portion 330 further includes an explanatory content, where the explanatory content is an explanation of the popup window, for example, the explanatory content includes a title: "feedback refinement" includes a description "we recommend the following extended information for you according to the patent related to the search text: ", the second portion 320 may be disposed directly below the third portion 330, and the first portion 330 may be disposed to the side of the second portion 320 and the third portion 330. In an alternative embodiment, the interfaces of the first portion 330, the second portion 320, and the third portion 330 may be window controls independent from each other, and the positional relationship among the three may also be flexibly adjusted as required. For example, the second portion 320 may be disposed directly above the third portion 330, and the first portion 330 may be disposed above the second portion 320 and the third portion 330.

According to the embodiment of the invention, the first retrieval recommendation element is generated for the first retrieval result, and the keyword and the classification number are extracted according to the method, so that the problem of inconvenience in inputting the expansion word and the classification number in the retrieval is solved, the retrieval function is optimized, and the effect of user retrieval experience is enhanced.

Example four

As shown in fig. 7, a fourth embodiment of the present invention is further optimized on the basis of the first embodiment of the present invention, and the fourth embodiment of the present invention provides a recommendation method for a search condition, where the recommendation method includes:

s410, acquiring a first retrieval condition input by a user, generating a first recommended retrieval element according to the first retrieval condition, and generating a second retrieval condition according to the adjustment of the first recommended retrieval element by the user.

And S420, generating a second retrieval result according to the second retrieval condition, and generating a second recommended retrieval element according to the second retrieval result.

And S430, generating a third retrieval condition according to the adjustment of the second recommended retrieval element by the user.

And S440, generating a third search result according to the third search condition.

The steps in this embodiment are the same as the implementation method of any of the above embodiments of the present invention. The third embodiment of any of the above embodiments is different in that a first search result is generated based on a first search condition, a first recommended search element is generated based on the first search result, a second search condition is generated based on adjustment of the first recommended search element by a user, and a second search result is generated based on the second search condition. In the embodiment of the present invention, a second search result is generated according to the second search condition, a second recommended search element is generated according to the second search result, a third search condition is generated according to the adjustment of the second recommended search element by the user, and a third search result is generated according to the third search condition, although the names are different, the implementation methods are the same and are in one-to-one correspondence, and when the user is not satisfied with the second search result, the second recommended search element can be continuously obtained according to the second search result, and further, the third search result can be obtained. Optionally, the user may continue to obtain the recommended search element according to the obtained search result until a desired search result is obtained.

According to the embodiment of the invention, the second retrieval recommendation element is generated for the second retrieval result, and the keyword and the classification number are extracted according to the method, so that the problems that an expansion word and the classification number are inconvenient to input in the retrieval and the retrieval result cannot meet the user requirement are further solved, the retrieval function is further optimized, and the effect of the user retrieval experience is enhanced.

EXAMPLE five

As shown in fig. 8, a fifth embodiment of the present invention is further optimized on the basis of a third embodiment of the present invention, and the third embodiment of the present invention provides a recommendation method for a search condition, where the recommendation method includes:

s510, acquiring a first retrieval condition input by a user, generating a first recommended retrieval element according to the first retrieval condition, and generating a second retrieval condition according to the adjustment of the first recommended retrieval element by the user.

S520, performing feature extraction on the second retrieval condition to obtain a second keyword, and generating a second retrieval result according to the second keyword.

S530, sorting the second retrieval results according to a preset rule, and confirming that the second retrieval results with the preset number in the front sorting are second recommendation results.

S540, obtaining a second expanded keyword of the text content at the preset position of the second recommendation result, and/or a second classification number corresponding to the text content at the preset position of the second recommendation result, wherein the second expanded keyword is matched with the second keyword, and the technical field of the second classification number is the same as or similar to that of the text content at the preset position of the second recommendation result.

And S550, generating a second recommended retrieval element according to the second keyword, the second expanded keyword and/or the second classification number.

And S560, displaying the second recommended search element.

S570, receiving an adding and/or deleting instruction of the user aiming at the second keyword, the second expanded keyword and/or the second classification number.

S580, adding and/or deleting one or more of the second keyword, the second expanded keyword, and/or the second category number based on the add and/or delete instruction.

S590, generating a third search condition based on the second keyword, the second expanded keyword and/or the second classification number reserved after the adding and/or deleting action.

S600, generating a third retrieval result according to the third retrieval condition.

EXAMPLE six

As shown in fig. 9, a sixth embodiment of the present invention is further optimized on the basis of a fourth embodiment of the present invention and a fifth embodiment of the present invention, and the sixth embodiment of the present invention provides a recommendation method for a search condition, where the recommendation method includes:

s610, acquiring a first retrieval condition input by a user, generating a first recommended retrieval element according to the first retrieval condition, and generating a second retrieval condition according to the adjustment of the first recommended retrieval element by the user.

And S620, generating a first search formula according to the second search condition.

S630, executing retrieval according to the first retrieval formula to obtain a second retrieval result.

And S640, displaying the second retrieval result on a retrieval result interface.

And S650, generating a second recommended search element according to the second search result.

And S660, generating a third search condition according to the adjustment of the second recommended search element by the user.

And S670, generating a second search formula according to the third search condition.

And S680, searching is performed according to the second searching formula to obtain the third searching result.

And S690, displaying the second retrieval result and the third retrieval result on a retrieval result interface.

In an embodiment, referring to fig. 10, step S690 may be displaying the second search result in a normal display on the search result interface; and displaying the third retrieval result in a highlighted mode on the retrieval result interface. Highlighting the characters of the third retrieval result through a preset color, and/or highlighting the characters of the third retrieval result through a bold format, and/or highlighting the characters of the third retrieval result through an italic format, and/or highlighting the background of the third retrieval result through a preset background color. The user can conveniently compare the first retrieval result with the second retrieval result.

In this embodiment, the first search result and the second search result are both multiple patent documents, the search result interface includes two parts, the first part 410 is the first search result, the second part 420 is the second search result, and the first part 410 and the second part 420 may be displayed on the left and right sides of the search result interface, or may be displayed on the upper and lower sides as shown in fig. 8. In an alternative embodiment, the first search result and the second search result may be displayed in a combined manner, but the first search result is displayed in a normal display manner, so that the second search result different from the first search result is displayed in a highlighted manner.

In an embodiment, referring to fig. 11, step S690 may be displaying a third search result identical to the second search result in a common display on the search result interface; and displaying a third retrieval result different from the second retrieval result in a highlighted mode on the retrieval result interface. Further, a result screening control is further displayed on the search result interface, and the result screening control is used for selecting and displaying one or all of the second search result and the third search result.

In this embodiment, the first search result and the second search result are both multiple patent documents, the search result interface includes two parts, the first part 510 is the first search result, the second part 520 is the second search result, and the first part 510 and the second part 520 may be displayed on the left and right sides of the search result interface or displayed on the upper and lower sides of the search result interface. The search results interface may also include a third portion 530, the third portion 530 including descriptive content and results filtering controls, such as the descriptive content including the titles: "search results" including the explanatory content "we provide you with the following search results according to the search text: ". When the user clicks or otherwise commands use of the result filtering control, three options pop up to display small popup windows of "only display first search result", "only display second search result", and "all display", respectively. When the user selects 'only display first search result', the search result interface will only display first search result, when the user selects 'only display second search result', the search result interface will only display second search result, and when the user selects 'all display', the search result interface will simultaneously display first search result and second search result in the above-mentioned manner. The third portion 530 may be disposed on top of the first portion 510 and the second portion 520, or may be disposed in the form of a floating window displayed in the first portion 510 or the second portion 520, and the user may drag the floating window to prevent the floating window from obscuring the search result.

The third section 530 also includes the previous and next step options, and when the user clicks or is otherwise instructed to use the previous step option, the user will return to the "twice refined" page, and when the user clicks or is otherwise instructed to use the next step option, the "three times refined" page will be entered for further expansion and refinement based on the second search result.

According to the embodiment of the invention, a second retrieval result which is the same as the first retrieval result is displayed in a common display mode on the retrieval result interface, a second retrieval result which is different from the first retrieval result is displayed in a highlighted mode on the retrieval result interface, and a result screening control is further displayed on the retrieval result interface and used for selecting and displaying one or all of the first retrieval result and the second retrieval result, so that the problem that a plurality of retrieval results are not contrasted or are not obvious enough in a contrasting mode in retrieval is solved, the retrieval function is optimized, and the retrieval experience effect of a user is enhanced.

EXAMPLE seven

As shown in fig. 12, a seventh embodiment of the present invention provides a recommendation apparatus 100 for search conditions, the recommendation apparatus having a beneficial effect corresponding to a recommendation method for any one of the search conditions provided in the seventh embodiment of the present invention, the recommendation apparatus 100 comprising:

an obtaining module 200, configured to obtain a first search condition input by a user;

a recommending module 300, configured to generate a first recommended search element according to the first search condition;

an adjusting module 400, configured to generate a second search condition according to the adjustment of the first recommended search element by the user.

Further, the first recommended search element includes a keyword and a classification number. The recommendation module 300 is further configured to: performing feature extraction on the first retrieval condition to obtain a first keyword; acquiring a first expanded keyword related to the first keyword and/or acquiring a first classification number related to the first keyword and/or the first expanded keyword; and generating the first recommended retrieval element according to the first keyword, the first expanded keyword and/or the first classification number.

Further, the recommending module 300 is further configured to: performing feature extraction on the first retrieval condition to obtain a first keyword, and generating a first retrieval result according to the first keyword; acquiring a first expanded keyword related to the first retrieval result and/or acquiring a first classification number related to the first retrieval result and/or the first expanded keyword; and generating a first recommended retrieval element according to the first keyword, the first expanded keyword and/or the first classification number.

Further, the recommending module 300 is further configured to: sorting the first retrieval results according to a preset rule, and confirming that the first retrieval results with the preset number at the front of the sorting are first recommendation results; and acquiring a first expanded keyword of the text content at the preset position of the first recommendation result and/or a first classification number corresponding to the text content at the preset position of the first recommendation result, wherein the first expanded keyword is matched with the first keyword, and the technical field of the first classification number is the same as or similar to that of the text content at the preset position of the first recommendation result.

Further, the adjusting module 400 is further configured to: displaying the first recommended search element; and generating a second retrieval condition according to the selection of the first keyword, the first expanded keyword and/or the first classification number by the user.

Further, the adjusting module 400 is further configured to: displaying the first recommended search element; and generating a second retrieval condition according to the selection of the first recommended retrieval element by the user.

Further, the adjusting module 400 is further configured to: receiving an adding and/or deleting instruction of a user for the first keyword, the first expanded keyword and/or the first classification number; adding and/or deleting one or more of the first keyword, first expanded keyword, and/or first category number based on the add and/or delete instruction; the second search condition is generated based on the first keyword, the first expanded keyword, and/or the first classification number retained after the adding and/or deleting action.

Further, the system further comprises a matching module 500, and the recommending module 300 is further configured to generate a second recommended search element according to the second search result; the adjusting module 400 is further configured to generate a third search condition according to the adjustment of the second recommended search element by the user; the matching module 500 is configured to generate a second search result according to the second search condition, and generate a third search result according to the third search condition.

Further, the matching module 500 is further configured to perform feature extraction on the second search condition to obtain a second keyword, and generate a second search result according to the second keyword; the recommending module 300 is further configured to sort the second retrieval results according to a preset rule, and determine that a preset number of second retrieval results that are sorted in front are second recommending results; acquiring a second expanded keyword of the text content at the preset position of the second recommendation result and/or a second classification number corresponding to the text content at the preset position of the second recommendation result, wherein the second expanded keyword is matched with the second keyword, and the technical field of the second classification number is the same as or similar to that of the text content at the preset position of the second recommendation result; and generating a second recommended retrieval element according to the second keyword, the second expanded keyword and/or the second classification number.

Further, the recommending module 300 is further configured to: displaying the second recommended search element; and generating a third retrieval condition according to the selection of the user on the second keyword, the second expanded keyword and/or the second classification number.

Further, the recommending module 300 is further configured to: displaying the second recommended search element; and generating a third retrieval condition according to the selection of the second recommended retrieval element by the user.

Further, the recommending module 300 is further configured to: receiving an adding and/or deleting instruction of a user for the second keyword, the second expanded keyword and/or the second classification number; adding and/or deleting one or more of the second keywords, second expanded keywords, and/or second category numbers based on the add and/or delete instructions; generating a third search condition based on the second keyword, the second expanded keyword, and/or the second classification number retained after the adding and/or deleting action.

Further, the matching module 500 is further configured to: generating a first search formula according to the second search condition; executing retrieval according to the first retrieval formula to obtain a second retrieval result; and displaying the second retrieval result on a retrieval result interface.

Further, the matching module 500 is further configured to: generating a second search formula according to the third search condition; performing a search according to the second search formula to obtain the third search result; and displaying the second retrieval result and the third retrieval result on a retrieval result interface.

Further, the matching module 500 is further configured to: displaying the second retrieval result in a common display mode on the retrieval result interface; and displaying the third retrieval result in a highlighted mode on the retrieval result interface.

Further, the matching module 500 is further configured to: highlighting the characters of the third retrieval result through a preset color, and/or highlighting the characters of the third retrieval result through a bold format, and/or highlighting the characters of the third retrieval result through an italic format, and/or highlighting the background of the third retrieval result through a preset background color.

Further, the matching module 500 is further configured to: displaying a third retrieval result which is the same as the second retrieval result in a common display mode on the retrieval result interface; and displaying a third retrieval result different from the second retrieval result in a highlighted mode on the retrieval result interface.

Further, the matching module 500 is further configured to: and further displaying a result screening control on the retrieval result interface, wherein the result screening control is used for selecting and displaying one or all of the second retrieval result and the third retrieval result.

Example eight

Fig. 13 is a schematic structural diagram of an apparatus according to an eighth embodiment of the present invention. FIG. 13 illustrates a block diagram of an exemplary computer device 12 suitable for use in implementing embodiments of the present invention. The computer device 12 shown in fig. 13 is only an example and should not bring any limitation to the function and the scope of use of the embodiments of the present invention.

As shown in FIG. 13, computer device 12 is in the form of a general purpose computing device. The components of computer device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, and a bus 18 that couples various system components including the system memory 28 and the processing unit 16.

Bus 18 represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, and a processor or local bus using any of a variety of bus architectures. By way of example, such architectures include, but are not limited to, Industry Standard Architecture (ISA) bus, micro-channel architecture (MAC) bus, enhanced ISA bus, Video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.

Computer device 12 typically includes a variety of computer system readable media. Such media may be any available media that is accessible by computer device 12 and includes both volatile and nonvolatile media, removable and non-removable media.

The system memory 28 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM)30 and/or cache memory 32. Computer device 12 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 34 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 12, and commonly referred to as a "hard drive"). Although not shown in FIG. 13, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to bus 18 by one or more data media interfaces. Memory 28 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the invention.

A program/utility 40 having a set (at least one) of program modules 42 may be stored, for example, in memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment. Program modules 42 generally carry out the functions and/or methodologies of the described embodiments of the invention.

Computer device 12 may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), with one or more devices that enable a user to interact with computer device 12, and/or with any devices (e.g., network card, modem, etc.) that enable computer device 12 to communicate with one or more other computing devices. Such communication may be through an input/output (I/O) interface 22. Also, computer device 12 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network such as the Internet) via network adapter 20. As shown, network adapter 20 communicates with the other modules of computer device 12 via bus 18. It should be understood that although not shown in the figures, other hardware and/or software modules may be used in conjunction with computer device 12, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.

The processing unit 16 executes various functional applications and data processing by running programs stored in the system memory 28, for example, to implement the recommended method provided by the embodiment of the present invention:

acquiring a first retrieval condition input by a user;

Example nine

The ninth embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the recommendation method provided in all the embodiments of the present invention:

acquiring a first retrieval condition input by a user;

Computer storage media for embodiments of the invention may employ any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.

A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.

Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).

It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims

1. A method for recommending search conditions, comprising:

acquiring a first retrieval condition input by a user;

2. The recommendation method according to claim 1, wherein the generating a first recommendation search element according to the first search condition comprises:

3. The recommendation method according to claim 1, wherein the generating a first recommendation search element according to the first search condition comprises:

4. The recommendation method according to claim 3, wherein the obtaining of the first expanded keyword related to the first search result and/or obtaining of the first category number related to the first search result and/or the first expanded keyword comprises:

5. The recommendation method according to any one of claims 2 or 3, wherein the generating of the second search condition according to the adjustment of the first recommended search element by the user comprises:

displaying the first recommended search element;

6. The recommendation method according to claim 5, wherein the generating of the second search condition according to the user selection of the first keyword, the first expanded keyword and/or the first category number comprises:

7. The recommendation method according to claim 1, wherein the generating of the second search condition according to the adjustment of the first recommended search element by the user comprises:

8. A recommendation device for search conditions, comprising:

9. A recommendation device for a search condition, comprising:

one or more processors;

a storage device for storing one or more programs,

when executed by the one or more processors, cause the one or more processors to implement the recommendation method as claimed in any one of claims 1-7.

10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the recommendation method according to any one of claims 1-7.