KR101188730B1 - Method for provide suggest search word to executed in the search sever - Google Patents

Abstract

A method of providing a search query performed by a search server may include: (a) receiving a keystroke word from a user terminal; And (b) recommending at least one search term based on the received keystroke word. Step (b) includes (b1) extracting a user profile. The user profile includes at least location information where the user is located. The step (b) includes (b2) determining the at least one digest search term corresponding to the extracted user profile based on the search group map. The search group map defines a search grouping for the at least one digest search term recommended according to the user profile and the actual search word selected by the user. In an embodiment, the step (b) may further include (b3) updating the search group map according to the determined user profile and the actual search word.

Description

How to provide digest search on the search server {METHOD FOR PROVIDE SUGGEST SEARCH WORD TO EXECUTED IN THE SEARCH SEVER}

The disclosed technique relates to a method for providing a search query performed in a search server.

When a user inputs a specific search word in a portal site on the Internet, the portal site may additionally provide a search word inferred from the search word. For example, if a user enters "soccer" as a search term, the portal site provides "soccer" as well as "soccer field", "soccer ball", "soccer shoes", "soccer player", and "soccer rules" as search terms. can do.

Among the embodiments, a method for providing a search query performed in a search server may include: (a) receiving a keystroke word from a user terminal; And (b) recommending at least one search term based on the received keystroke word. Step (b) includes (b1) extracting a user profile. The user profile includes at least location information where the user is located. The step (b) includes (b2) determining the at least one digest search term corresponding to the extracted user profile based on the search group map. The search group map defines a search grouping for the at least one digest search term recommended according to the user profile and the actual search word selected by the user. In an embodiment, the step (b) may further include (b3) updating the search group map according to the determined user profile and the actual search word. In one embodiment, the at least one digest search term may include a hot issue search term corresponding to a search term frequently searched from a current time point to a specific period in the past regardless of the user profile. In one embodiment, the keystroke may correspond to the initiality of at least a portion of the digest search term. In another embodiment, the keystroke language may correspond to a phoneme of at least a portion of the digest search term. In one embodiment, the user profile may further include the gender and / or age of the user. In another embodiment, the user profile may further include a residence, work place, occupation, and / or area of interest of the user.

Among the embodiments, the method for providing a search query performed in the search server performs (a) extracting a user profile when a keystroke word is input from the user terminal. The user profile may include at least location information of the corresponding user. (b) checking a plurality of search words based on the input keystroke words and identifying homonyms included in the plurality of search words. (c) determining a search term corresponding to the extracted user profile among the homonyms as a digest search term based on the search group map. The search group map may define a search grouping for the at least one digest search term and the actual search word selected by the user according to the user profile.

Among the embodiments, the method for providing a search query performed in the search server performs (a) extracting a user profile when a keystroke word is input from the user terminal. The user profile may include at least location information of the corresponding user. (b) selecting a search group map based on the user profile. The search group map may define a search grouping for the at least one search term recommended by the user profile and the actual search word selected by the user. (c) determining a digest search word corresponding to the keystroke word among the digest search words included in the selected search group map. In one embodiment, the method for providing a search query performed in the search server may further include updating the search group map according to the determined user profile and the actual search word. For example, the search group map may include a region grouping list, and the region grouping list may be generated by mapping the at least one digest search term to be associated with a region item. As another example, the search group map may include a list of hot issue search terms, and the list of hot issue search terms may include a hot issue search term corresponding to a search term frequently searched from a current time point to a specific period in the past.

Among the embodiments, the method for providing a search query performed in a search server may include (a) extracting a user profile including at least location information of a corresponding user, and (b) inputting a keystroke word from a user terminal. Receiving, (c) recommending at least one search term (suggest search word) based on the input keystroke word-One of the at least one search term corresponds to the homonym (hereinafter, Digest search term)-; (d) if the homonym search term is selected, determining an appropriate summary search word based on the extracted user profile, and (e) providing a search result based on the appropriate summary search word. .

1 is a flowchart illustrating a method of providing a search query performed in a search server according to an embodiment of the disclosed technology.
FIG. 2 is a flowchart illustrating an example of a method of providing a summary search word of FIG. 1.
3 is a flowchart illustrating another example of the method of providing a search query of FIG. 1.
FIG. 4 is a diagram illustrating a list of digest search words generated corresponding to the input of the keystroke word of FIG. 1.
FIG. 5 is a diagram illustrating a grouping list for each region generated based on the search group map of FIG. 1.
FIG. 6 is a diagram illustrating an age-specific digest search term list generated based on the search group map of FIG. 1.
7 is a flowchart illustrating a method of providing a search query performed in a search server according to another exemplary embodiment of the disclosed technology.
FIG. 8 is a diagram illustrating an example of a process of generating a digest search word list based on the search group map of FIG. 7.
FIG. 9 is a diagram illustrating another example of a process of generating a digest search word list based on the search group map of FIG. 7.

The description of the disclosed technique is merely an example for structural or functional explanation and the scope of the disclosed technology should not be construed as being limited by the embodiments described in the text. That is, the embodiments may be variously modified and may have various forms, and thus the scope of the disclosed technology should be understood to include equivalents capable of realizing the technical idea.

Meanwhile, the meaning of the terms described in the present application should be understood as follows.

The terms "first "," second ", and the like are intended to distinguish one element from another, and the scope of the right should not be limited by these terms. For example, the first component may be referred to as a second component, and similarly, the second component may also be referred to as a first component.

It should be understood that the term "and / or" includes all possible combinations from one or more related items. For example, the meaning of "first item, second item and / or third item" may be presented from two or more of the first, second or third items as well as the first, second or third item It means a combination of all the items that can be.

It is to be understood that when an element is referred to as being "connected" to another element, it may be directly connected to the other element, but there may be other elements in between. On the other hand, it should be understood that no component exists. On the other hand, other expressions describing the relationship between the components, such as "between" and "immediately between" or "neighboring to" and "directly neighboring to", should be interpreted as well.

Singular expressions should be understood to include plural expressions unless the context clearly indicates otherwise, and terms such as "comprise" or "have" refer to features, numbers, steps, operations, components, parts, or parts thereof described. It is to be understood that the combination is intended to be present and does not preclude the existence or addition of one or more other features or numbers, steps, operations, components, parts or combinations thereof.

In each step, an identification code (e.g., a, b, c, ...) is used for convenience of description, and the identification code does not describe the order of the steps, and each step is clearly in a specific order. Unless stated otherwise, it may occur out of the stated order. That is, each step may occur in the same order as described, may be performed substantially concurrently, or may be performed in reverse order.

All terms used herein have the same meaning as commonly understood by one of ordinary skill in the art unless otherwise defined. Commonly used predefined terms should be interpreted to be consistent with the meanings in the context of the related art and can not be interpreted as having ideal or overly formal meaning unless explicitly defined in the present application.

1 is a flowchart illustrating a method of providing a search query performed in a search server according to an embodiment of the disclosed technology.

Referring to FIG. 1, the search server receives a keystroke word from a user terminal (S110). In one embodiment, the keystroke language may include basic elements of phoneme units input by a keyboard or a keypad. The search server can run portal sites.

The search server recommends at least one search term based on the input keystroke word (S102). In one embodiment, the keystroke may correspond to the digest search term, may correspond to the initiality of the digest search term, and may correspond to a portion of the digest search term (eg, dark or ending) and some initiality.

In the process of recommending the at least one digest search word by the search server, the search server first extracts the user profile (S121). In one embodiment, the user profile may include at least location information where the user is located. For example, when the user terminal accesses the portal site on the Internet, the search server may obtain access log information of the user terminal. The access log information may include a user terminal side IP address. When the search server checks the IP address of the user terminal, the search server may acquire approximate location information of the user terminal.

The search server determines at least one digest search word corresponding to the extracted user profile based on the search group map (S122), and transmits a digest search word list including the determined at least one search query to the user terminal. In one embodiment, the search group map may define a search grouping for at least one digest search term recommended according to a user profile and an actual search term selected by the user. For example, the grouped digest search term may include a search term mainly selected by users connected from a specific region.

The search server may update the search group map according to the determined user profile and the actual search word (S123). For example, if users accessing from a specific region frequently select search terms other than the recommended search term, the search server may update the search term including the search term.

FIG. 2 is a flowchart illustrating an example of a method of providing a summary search word of FIG. 1.

Referring to FIG. 2, when a keystroke word is input from the user terminal (S201), the search server extracts a user profile (S202). In one embodiment, the user profile may include at least location information where the user is located.

The search server checks the plurality of search terms based on the input keystroke words (S203), and checks the homonyms included in the plurality of search terms (S204). In one embodiment, the homonym includes words with the same pronunciation but different meanings. For example, the homonym can include people with the same name but different people, regions, goods, and / or businesses.

The search server determines a search term corresponding to the extracted user profile among the homonyms as the digest search term based on the search group map (S205). According to an embodiment, when the athletes of the same sport have the same name, an athlete who uses the region of the user profile as the location may be determined as the digest search term. In another embodiment, the singer and politician of the same name may be determined as the search term to be associated with the age of the user profile.

The search server transmits the determined list of the digest search terms to the user terminal and recommends it to the user (S207).

3 is a flowchart illustrating another example of the method of providing a search query of FIG. 1.

Referring to FIG. 3, when a keystroke word is input from the user terminal (S301), the search server may extract a user profile (S302). In one embodiment, the user profile may include at least location information where the user is located.

The search server may check a plurality of search terms based on the input keystroke word (S303), and may check whether the corresponding search word is a hot issue search term (S304). In one embodiment, the hot issue search term may include a search term frequently searched from the present time point to a specific period in the past regardless of the user profile.

When the search term is a hot issue search term, the search server may include the search term in the list of the digest search term (S305). In one embodiment, the hot issue search term may be positioned above the digest search term list.

The search server transmits the determined search term to the user terminal and recommends it to the user (S306).

FIG. 4 is a diagram illustrating a list of digest search words generated corresponding to the input of the keystroke word of FIG. 1.

Referring to FIG. 4, the keystroke word may correspond to the initiality of at least a portion of the digest search term. A first consonant may contain the first sound of a syllable. For example, it can be "n" of "nim". A syllable may include a basic unit of speech that gives a feeling of one synthesized note. For example, "morning" may be "ah" and "spit", and the vowel may be one syllable alone.

In one embodiment, when the user enters "b" as a keystroke, the search server may provide a search query with "b" as an initial constellation (S401). For example, the digest search term may include a case in which the dark initial is "b" and a case in which the ending is "b".

In one embodiment, if the user further enters "d" as a keystroke, the search server may provide a search query with "b" as the initial consonant (S402). For example, the summary search term may include a case where the dark initial is "b" and a mother initial is "b".

In one embodiment, if the user further inputs "ㅎ" as a keystroke, the search server may provide a digest search term that is based on "Bh" (S403). For example, the summary search term may include a case where the dark first consonant is "ㄴ ㄹㅎ" and a case where the mother first consonant is "ㄴ ㄹㅎ".

In another embodiment, the keystroke may correspond to the phonemes of at least some of the digest search terms. For example, when a user enters "b ㅏ" as a keycrop, the search server may provide a digest search term including "I". The phoneme includes a phonological minimum unit that can no longer be divided into small, at least one phoneme can be formed into a syllable.

FIG. 5 is a diagram illustrating a grouping list for each region generated based on the search group map of FIG. 1.

Referring to FIG. 5, when a keystroke word is input from a user terminal, the search server may provide a search term based on location information included in a user profile. In one embodiment, the summary search word provided based on the location information may include a search word mainly searched by users of the region. For example, when a user inputs "ㅂ" as a keystroke, when the location information of the user is "region A", the user may provide a list of digest search words as shown in FIG. 5 (a), and the location of the user. When the information is "region B", a list of digest search words such as (b) of FIG. 5 may be provided. Since the location information is extracted from the IP address included in the access log information of the user terminal, it can be determined regardless of whether the user has registered.

FIG. 6 is a diagram illustrating an age-specific digest search term list generated based on the search group map of FIG. 1.

Referring to FIG. 6, when a keystroke word is input from a user terminal, the search server may provide a search term based on a gender and / or age included in a user profile. In one embodiment, the search term provided based on gender and / or age may include a search term mainly searched by users of the corresponding gender and / or age. For example, if a user inputs "ㅎㄱ" as a keystroke, if the user's age group is "teen", the user may provide a list of digest search queries as shown in FIG. 6 (a). In the case of “30s”, a list of digest search words such as (b) of FIG. 6 may be provided. Gender and / or age information may be provided when the user has registered as a member of the portal site. The user can register as a member of the corresponding portal site and be provided with a list of more detailed and highly available digest search terms.

In one embodiment, when a keystroke language is input from the user terminal, the search server may provide a search term based on the residence, work place, occupation, and / or interest field included in the user profile.

7 is a flowchart illustrating a method of providing a search query performed in a search server according to another exemplary embodiment of the disclosed technology.

Referring to FIG. 7, when a keystroke word is input from the user terminal, the search server extracts a user profile (S710). In one embodiment, the user profile may include at least location information where the user is located.

The search server selects a search group map based on the user profile (S720). In one embodiment, the search group map may define a search grouping for at least one digest search term recommended according to a user profile and an actual search term selected by the user.

The search server determines a digest search term corresponding to a keystroke among the digest search terms included in the selected search group map (S730). In one embodiment, the search server may update the search group map according to the determined user profile and the actual search word (S740).

FIG. 8 is a diagram illustrating an example of a process of generating a digest search word list based on the search group map of FIG. 7.

Referring to FIG. 8, the search group map may include a grouping list for each region, and the grouping list for each region may be generated by mapping at least one digest search term to be associated with a region item. In one embodiment, the search server may generate the sum search terms frequently searched by users of a specific region into a grouping list so as to be related to the region-specific item. For example, the search group map may be created as a relational database. In one embodiment, each of the items of the relational database may be managed as an object.

The search group map may include a list of hot issue search terms. In one embodiment, the hot issue search term list may be generated including a hot issue search term corresponding to a search term frequently searched from a current time point to a specific period in the past.

When the keystroke language is input, the search server may search for an area item in the search group map based on the location information of the user, and check a grouping list mapped to the searched item for each area.

The search server may determine and generate at least one digest search term corresponding to a keystroke word input from the corresponding grouping list, and include the corresponding hot issue search term in the determined search query list when there is a hot issue search term.

FIG. 9 is a diagram illustrating another example of a process of generating a digest search word list based on the search group map of FIG. 7.

Referring to FIG. 9, the search group map may include a region grouping list, the region grouping list may include a gender and / or age grouping list, and the gender and / or age grouping list may include at least one digest search term for each region. It can be generated by mapping to be associated with. In one embodiment, the search server may generate a search list that is frequently searched by users in a specific region as a grouping list to be related to a region-specific item, and then group the corresponding search terms to be related to a gender and / or age-related item. . For example, the search group map may be created as a relational database. In one embodiment, each of the items of the relational database may be managed as an object.

The search group map may include a list of hot issue search terms. In one embodiment, the hot issue search term list may be generated including a hot issue search term corresponding to a search term frequently searched from a current time point to a specific period in the past.

When the keystroke language is input, the search server searches for a region-specific item in the search group map based on the user's location information, and searches for and maps a gender- and / or age-related item in the searched region-based item based on the user's gender and / or age. You can check the grouping list.

The search server may determine and generate at least one digest search term corresponding to a keystroke word input from the corresponding grouping list, and include the corresponding hot issue search term in the determined search query list when there is a hot issue search term.

The disclosed technique may have the following effects. It is to be understood, however, that the scope of the disclosed technology is not to be construed as limited thereby, as it is not meant to imply that a particular embodiment should include all of the following effects or only the following effects.

The method for providing a search query performed by the search server according to an exemplary embodiment may provide a list of the most preferred search search words differentiated according to a user. This is because the search query list corresponding to the user profile may be provided based on the search group map.

In addition, the method of providing a search query performed by the search server according to an embodiment may easily search for desired information in a portal site by using a miniaturized portable terminal (for example, a smartphone). This is because a simple list of search terms can provide a search term list.

In addition, the method for providing a search query performed by the search server according to an embodiment may provide a list of more detailed and highly available search queries to a user registered as a member. This is because the search term list may be provided based on gender and / or age including location information of the user.

It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit and scope of the present invention as set forth in the following claims It can be understood that

Claims (17)

(a) receiving a keystroke word from a user terminal; And
(b) recommending at least one search term (suggest search word) based on the received keystroke word, wherein the at least one search term is a search term frequently searched from a current time point to a specific period in the past regardless of a user profile Including hot issue search term corresponding to;
The step (b)
(b1) extracting the user profile including at least one of a user's gender, age, a user's place of residence, working place, occupation, and interests, wherein the user profile includes at least location information of the user; ;
(b2) determining the at least one digest search term corresponding to the extracted user profile based on a search group map, wherein the search group map is selected by the user and the at least one digest search term recommended according to a user profile Defining search groupings for actual search terms that are generated;
(b3) updating the search group map according to the determined user profile and the actual search word;
How to provide a search query performed in a search server comprising a. delete delete The method of claim 1, wherein the keystroke corresponds to a consonant with respect to at least a portion of the digest search word. The method of claim 1, wherein the keystroke language
The search query providing method performed by the search server, characterized in that corresponding to the phonemes of at least a portion of the search query. delete delete (a) extracting a user profile when a keystroke word is input from a user terminal, wherein the user profile includes at least one of location information, gender, age, place of residence, workplace, occupation, and interest of the user; Includes;
(b) checking a plurality of search terms based on the input keystroke words and identifying homonyms included in the plurality of search words; And
(c) determining a search term corresponding to the extracted user profile among the homonyms as a digest search term based on a search group map, wherein the search group map corresponds to the at least one digest search term and the user recommended according to the user profile. A method for providing a search query performed on a search server that includes defining a search grouping for the actual search query selected by the. (a) extracting a user profile when a keystroke word is input from the user terminal, the user profile including at least location information of the user;
(b) selecting a search group map based on the user profile, wherein the search group map is a search for the at least one search term recommended by the user profile and an actual search term selected by the user Define a grouping, wherein the search group map is generated by mapping the at least one digest search term to be associated with at least one of the user's gender, age, place of residence, place of work, occupation, and interest field as a region-specific item and sub-item thereof. A grouping list for each region, including a list of hot issue search terms that are generated including a hot issue search term corresponding to a search term frequently searched from the current point in time to a specific period in the past; And
and (c) determining a search query corresponding to the keystroke among the search queries included in the selected search group map. The method of claim 9, wherein the method of providing a search query performed by a search server is
And updating the search group map according to the determined user profile and the actual search word. delete delete delete delete (a) extracting a user profile comprising at least location information where the user is located, determined based on an internet address of the computing system used by the user;
(b) receiving a keystroke word from a user terminal;
(c) recommending at least one search term (suggest search word) based on the input keystroke word, wherein one of the at least one search term corresponds to a homonym (hereinafter, a homonym search term). -;
(d) determining a search query based on the extracted user profile when the search query of the homophone is selected; And
(e) providing a search result based on the search term in the first place;
The step (c)
(c1) determining the at least one digest search term corresponding to the extracted user profile based on a search group map, wherein the search group map is selected by the user and the at least one digest search term recommended according to a user profile Defining search groupings for actual search terms that are generated;
The method of providing a search query further comprising a. delete delete

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