KR100806936B1 - System and method for providing automatically completed recommended word by correcting and displaying the word - Google Patents

Abstract

The present invention relates to a method and a system for providing an autocomplete recommendation correcting and exposing an autocomplete recommendation to be exposed in accordance with a search keyword input situation of a user according to a predetermined search recommendation criterion. An autocomplete recommendation system according to the present invention is a query index database for indexing and recording a query log according to a phoneme unit, syllable unit, or suffix, and receiving a search keyword from a user. An autocomplete recommendation extractor extracting at least one autocomplete recommendation associated with a search keyword, an autocomplete recommendation corrector correcting the extracted autocomplete recommendation according to a predetermined search recommendation criterion, and the corrected automatic It characterized in that it comprises an autocomplete recommended word exposure unit for exposing the complete recommendation.

Autocomplete suggestions, homonyms, typos, synonyms, shortcuts

Description

SYSTEM AND METHOD FOR PROVIDING AUTOMATICALLY COMPLETED RECOMMENDED WORD BY CORRECTING AND DISPLAYING THE WORD}

1 and 2 are diagrams illustrating a screen exposing a search query on a search web page according to the related art.

3 is a block diagram illustrating a configuration of an autocomplete recommendation system according to an embodiment of the present invention.

4 is a flowchart illustrating a method for providing an autocomplete recommendation according to another embodiment of the present invention.

5 is a diagram illustrating an example of a screen that exposes a homonym in the autocomplete recommendation system according to the present invention.

6 is a diagram illustrating an example of a screen for correcting and exposing a typo in an autocomplete recommendation system according to the present invention.

7 is a diagram illustrating an example of a screen for exposing a similar word in the autocomplete recommendation system according to the present invention.

8 is a diagram illustrating an example of a screen that exposes a shortcut link in an autocomplete recommendation system according to the present invention.

9 is a diagram illustrating an example of a screen that exposes a content keyword in the autocomplete recommendation system according to the present invention.

<Explanation of symbols for the main parts of the drawings>

300: autocomplete recommendation system

301: Query log database

302: search results database

303: Autocomplete recommendation word extraction unit

304: autocomplete recommendation correction unit

305: Autocomplete suggestion exposed portion

The present invention relates to a method and system for providing an autocomplete recommendation correcting and exposing an autocomplete recommendation to be exposed according to a user's search keyword input situation according to a predetermined search recommendation criterion.

In general, a search website providing a search service has a search result corresponding to the query when the user inputs a query (for example, a web site including the query, an article including the query, and a file name including the query). To the user).

Currently, the search service is gradually improved to maximize user convenience. The big improvement in this direction is not only to provide satisfactory search results when a user inputs an appropriate query, but also to search for an inappropriate query. When entering, it should be to provide an appropriate search result that satisfies the user. In particular, as the user base of the search service expands, an increase in the number of users who do not have sufficient background knowledge of appropriate query terms raises the need for guiding appropriate queries to users.

Accordingly, the current search website provides an appropriate search query in accordance with the user's query input situation in order to satisfy the user's needs.

1 and 2 are diagrams illustrating a screen exposing a search query on a search web page according to the related art.

As shown in Fig. 1, the search website provides a search query such as "Nate", "Nate On", "Naver", "Nate.com", etc. while the user inputs a query "Ney". By clicking on a search query to be entered by the user among search queries, a desired search query can be entered without having to enter all the query terms. Search queries are given first in order of frequency of search for a certain time period or in alphabetical order.

However, the search website does not discriminate inaccurate keywords, keywords that do not consider the result quality, typos, and social slang words in accordance with the user's search frequency. The problem is being raised.

As shown by reference numeral 201 of FIG. 2, a search website provides an incorrect search query in providing a search query associated with a query entered by a user. Search websites provide search queries such as "Great Heritage", "Great Catsby", "Great Gatsby", and "Great Catsby" in response to the user entering the query "Great". Great Catsby "is a misleading word for" great Catsby ". Since the search website only provides accurate search results when entering the correct query, the user must select "Great Catsby" but still provide the desired search results. However, when a user incorrectly selects "great Catsby" and "great Gatsby", the search web page does not provide a good search result that the user wants, and thus provides a wrong search result.

In addition, as shown by reference numeral 202, the search website matches search queries such as "Mr. Jung Man Ho's photo", "Mr. Man Ho Jung's photo", and "Mr. to provide. In this case, the search website provides keywords that do not take into account the quality of the results, such as "Mr. Jung Man Ho's photo" and "Mr. Man Ho's photo", so that if the user selects "Mr. There is a problem in that the search results are not provided and the search results are not guaranteed. This is a problem that if one person wanders along as a result of incorrectly searching the search result without inducing a user with a good search result.

In addition, as shown by reference numeral 203, the search website provides a search query of "Ari River" in response to a user inputting a query of "Ari". However, "Ariver" is a keyword that is displayed when the keyword "Iriver" is incorrectly entered. However, the search website has a problem that even when a user inputs a typo keyword, the user inputs a typo keyword as a search query by determining that the keyword is input by many users without correcting the typo. Thus, the search website presents a problem of poor search reliability by providing poor search results for typo search queries.

In addition, as shown by the reference numeral 204, the search website is adapted to the situation where the user inputs the query word "blood leak", "blood leaker", "blood leak plot", "blood leak meaning". To provide search queries. However, search queries such as "blood leakers" and "blood leaks" are information about important contents of a movie, and if a corresponding search result is provided, there is a problem that a movie or DVD vendor may be damaged. .

Therefore, the emergence of a new technology that leads users to good searches by providing only search queries that can provide good search results.

The present invention has been made to solve the problems of the prior art as described above, good search by correcting and exposing the autocomplete recommendation to expose in real time according to the user's search keyword input situation according to a predetermined search recommendation criteria, An object of the present invention is to provide a method and system for providing an autocomplete recommendation word that provides an autocomplete recommendation word that leads to a result.

In addition, the method and system for providing an autocomplete recommendation according to the present invention exposes an autocomplete recommendation having a high search frequency, a search result number, and a search page click rate in association with a search keyword, thereby leading to a good search result. For that purpose.

In addition, the method and system for providing an autocomplete recommendation according to the present invention, when there is a homonym among the autocomplete recommendation words, exposes additional information about the homonym word with the autocomplete recommendation word to the user to select the autocomplete recommendation word. Its purpose is to help.

In addition, the method and system for providing an autocomplete recommendation keyword according to the present invention, when there is a typo in a search keyword, to correct the typo of the search keyword to expose the autocomplete recommendation associated with the corrected search keyword. .

In addition, the method and system for providing an autocomplete recommendation according to the present invention is to determine a search keyword difficult to enter a correct keyword, such as pronunciation of a foreign language, and to expose a representative keyword with a similar autocomplete recommendation.

In addition, the method and system for providing an autocomplete recommendation keyword according to the present invention exposes the autocomplete recommendation keyword in accordance with a search keyword, thereby shortening the user's search keyword input time and improving the user's search keyword input convenience. do.

In order to achieve the above object and to solve the above-mentioned problems of the prior art, the autocomplete recommendation system according to an embodiment of the present invention indexes the query log according to a phoneme unit, syllable unit, or suffix (suffix). a query index database to be recorded by indexing, an autocomplete recommendation extracting unit which receives a search keyword from a user and extracts at least one autocomplete recommendation word associated with the search keyword from the query index database, the extracted autocomplete And an autocomplete recommendation word correcting unit for correcting the recommended word according to a predetermined search recommendation criteria, and an autocomplete recommendation word exposure unit for exposing the corrected autocomplete recommendation word.

In addition, the method for providing an autocomplete recommendation word according to another embodiment of the present invention comprises: indexing a query log according to a phoneme unit, syllable unit, or suffix, and recording the query log in a query index database; Extracting at least one autocomplete recommendation associated with the search keyword from a database, correcting the extracted autocomplete recommendation according to a predetermined search recommendation criterion, and exposing the corrected autocomplete recommendation Characterized in that it comprises a.

Hereinafter, with reference to the accompanying drawings will be described an embodiment of the present invention;

3 is a block diagram illustrating a configuration of an autocomplete recommendation system according to an embodiment of the present invention.

The autocomplete recommendation system 300 is a query index database 301 that indexes and records a query log according to a phoneme unit, syllable unit, or suffix, and receives a search keyword from a user, and receives the search keyword from the query index database. An autocomplete recommendation extractor 303 for extracting at least one associated autocomplete recommendation word, an autocomplete recommendation word correction unit 304 for correcting the extracted autocomplete recommendation word according to a predetermined search recommendation criteria, And an autocomplete recommendation word exposure unit 305 exposing the corrected autocomplete recommendation word.

According to an exemplary embodiment of the present invention, the query index database 301 includes a search frequency for each query word, sorts and records the query log in the order of the search frequency, and the autocomplete recommendation extractor 303 is a query word. From the index database 301, a predetermined number of autocomplete recommendation lists sorted in order of search frequency are extracted. In this case, the autocomplete recommendation exposure unit 305 may expose the autocomplete recommendation list in alphabetical order.

According to another embodiment of the present invention, the autocomplete recommendation system 300 further includes a search result database 302 that records the number of search results and the result page click rate in association with the autocomplete recommendation. In this case, the autocomplete recommendation extractor 303 extracts the search result number and result page click rate associated with the autocomplete recommendation from the search result database 302, and the autocomplete recommendation corrector 304 determines the search result. The autocomplete recommendation list is sorted in the order of number and the result page click rate. For example, the autocomplete recommendation correcting unit 304 may sort the autocomplete recommendation list in order of search frequency, the number of search results, and the click rate of the result page.

According to another embodiment of the present invention, the autocomplete recommendation correction unit 304, in order to correct the autocomplete recommendation according to the search recommendation criteria, when the autocomplete recommendation associated with the search keyword is not extracted, the A typo correcting engine 304a for correcting a typo in a search keyword, and each autocomplete recommendation if the autocomplete recommendation is included in two or more of a Korean dictionary, an English dictionary, an encyclopedia, or a headword stored in a predetermined dictionary database. A homonym recommendation engine 304b for generating associated additional information and a similar keyword recommendation engine for determining a representative keyword from similar autocomplete recommendation words among the extracted autocomplete recommendation words and associating the representative keyword with the autocomplete recommendation word. 304c) and a shortcut link generation engine 304d for generating a shortcut link associated with the autocomplete recommendation. It should.

4 is a flowchart illustrating a method for providing an autocomplete recommendation according to another embodiment of the present invention. The autocomplete recommendation method providing method according to the present embodiment may be performed by the autocomplete recommendation system 300 as shown in FIG. 3.

In step S401, the autocomplete recommendation system 300 indexes the query log according to phoneme units, syllable units, or suffixes and records the query log in the query index database 301.

The query log may be an entire query set input by users at a predetermined search website maintained by the autocomplete recommendation system 200, and may include a search frequency for each query. The search frequency may be, for example, a kind of statistical information generated by analyzing how many times a specific query is input within a predetermined period of time.

Thus, a query is not only indexed in one way, but can be classified into phoneme units, syllable units, and suffixes according to the indexed method. For example, the query log "Donkey" is indexed by phoneme units such as "c", "D", "Dang", "D", "Dan", "Dang", "Dang", "Don" At the same time, it is indexed by syllable units such as "party", "donkey", and "donkey", and can also be indexed with suffixes such as "ear", "donkey", and "donkey".

The biggest characteristic of Hangeul, which is distinguished from foreign characters such as Japanese and Chinese characters, is that it consists of phoneme units. In other words, Hangul generates a single character by combining basic elementary elements of 19 consonants, 21 neutral stars, and 28 final letters.

As used herein, the term "self unit" includes all letters and words combined with a consonant and a consonant, as well as a consonant having a general meaning, such as each of the above-mentioned primary, neutral, and trailing species. For example, the term "da" may be divided into two phoneme units, "c" and "k", but may, by itself, correspond to one phoneme unit.

In addition, the term "self unit" in the present invention includes the concept of "minimum input unit of the input terminal". For example, the Hangul 2 Beolsik keyboard requires you to type "ㅗ" and "ㅏ" to enter "ㅘ". If it is a simple letter unit, the words "Wow" are "ㅇ", "Wa" and "Wo". , "Wow" is indexed ("Wow"), but the "self unit" in the present invention includes the concept of the "minimum input unit of the input terminal" as described above, in the case of the Korean double keyboard type "ㅇ", " "O", "Wah", "King", "Wow" can be indexed. In addition, when the input terminal is changed to a terminal following another input method, the index of the minimum unit input may be changed accordingly.

Generally, a suffix is an affix, which forms a word by adding a meaning to the end of a word, which cannot be used alone, but is always combined after the root of another word to add various meanings. Means a suffix. For example, a suffix attached to a message may include '-' or '-number' for zoning, '-number' or '-character' for activist, '-s' for plural, or '-'. ','-','-', Etc. The suffixes attached to the verbs include verbs, teeth, teeth, teeth, teeth, and teeth.

However, the term "suffix" used in the present invention includes all the suffixes of the general meaning described above, as well as all letters and words that can be placed at the end of the word in addition to these suffixes.

For example, the term "country" does not correspond to a suffix in the general sense, but corresponds to a word that can be placed at the end of another word, such as 'democratic country', 'lawful country', 'patriotic country', etc. Included in the category of suffixes used by. Thus, in the present invention, "suffix" is a concept corresponding to "syllable unit index from behind". For example, the term "surgery" is not used as such even if it does not complete a single noun like "country." Although not a complete noun, it is included in the scope of the suffix used in the present invention, as long as it serves to complete a query word such as "microplastic surgery" or "Hong-gil orthopedics".

In step S402, the autocomplete recommendation system 300 receives a search keyword from the user. The search keyword is a keyword that the user wants to search, such as the query log, and when the user wants to input a search keyword of "jang dong gun", the search keyword is input to "jang", "jang dong", "jang dong gun", "dong geon", etc. can do.

In operation S403, the autocomplete recommendation extractor 303 of the autocomplete recommendation system 300 extracts at least one autocomplete recommendation associated with the search keyword from the query index database 301. The autocomplete recommendation extractor 303 may extract an autocomplete recommendation list associated with the search keyword in real time according to an input situation of the search keyword. The autocomplete recommendation list includes one or more autocomplete recommendations.

According to an embodiment of the present invention, the autocomplete recommendation system 300 includes a search result database 302 which records the number of search results and the result page click rate in association with the autocomplete recommendation, and includes an autocomplete recommendation extracting unit. 303 extracts a search result number and a result page click rate associated with the autocomplete recommendation from the search result database 302.

In step S404, the autocomplete recommendation correction unit 304 of the autocomplete recommendation system 300 corrects the extracted autocomplete recommendation according to a predetermined search recommendation criteria. According to an exemplary embodiment of the present invention, the autocomplete recommendation word correction unit 304 sets the search recommendation criterion that the search frequency, the search result number, and the result page click rate are high, and thus the search frequency and the search result number. The autocomplete recommendation list may be sorted in ascending order of the result page click rate. For example, a large number of search results and a high result page click rate for the search results mean good search results. Accordingly, the autocomplete recommendation correcting unit 304 may correct the autocomplete recommendation according to the search frequency, the search result count, and the result page click rate.

In step S405, the autocomplete recommendation exposure unit 305 of the autocomplete recommendation system 300 exposes the corrected autocomplete recommendation. That is, the autocomplete recommendation exposure unit 305 may expose the autocomplete recommendation list arranged in order of the search frequency, the number of search results, and the result page click rate.

Further, according to another embodiment of the present invention, the autocomplete recommendation correction unit 304 sets the search recommendation criteria to homonym recommendation, typo correction recommendation, similar word recommendation, shortcut recommendation, and the like. I can correct it. Hereinafter, a method of correcting the autocomplete recommendation word according to each search recommendation criterion will be described.

5 is a diagram illustrating an example of a screen that exposes a homonym in the autocomplete recommendation system according to the present invention.

The autocomplete recommendation correction unit 304 generates additional information associated with each autocomplete recommendation when the autocomplete recommendation is included in at least two of a Korean dictionary, an English dictionary, an encyclopedia, or a headword stored in a predetermined dictionary database. A homonym recommendation engine 304b. The dictionary database stores keywords by area of Korean dictionary, English dictionary, encyclopedia, and headword. Thus, two or more words having the same pronunciation but different meanings as a language may be included in two or more of a Korean dictionary, an English dictionary, an encyclopedia, and a headword.

For example, "rain" belongs to more than one area because it belongs to both "singer" and "natural phenomenon", depending on whether the user has selected ratio as "singer" or ratio as "natural phenomenon". Search results will be different. Therefore, the homonym recommendation engine 304b generates additional information divided into "singers" and "natural phenomena" with respect to the keyword "rain" so that the additional information may be exposed together when the keyword "rain" is exposed. To "Rain" above. In addition, "sea", "star", "Kim Jin-pyo" may be included in the homonym.

In this case, as shown by reference numeral 501, the autocomplete recommendation system 300 may expose additional information (singer, natural phenomenon) when the homonym (non) is exposed.

According to another embodiment of the present invention, the homonym recommendation engine 304b generates additional information associated with each autocomplete recommendation when the autocomplete recommendation is included in two or more content keywords. The content keyword is a keyword whose search result is predetermined, and when there are two or more search results of "search site" and "company" with respect to the keyword "naver", the homonym recommendation engine 304b selects "naver" as the content keyword. In this case, additional information (search site, company) is generated based on two search results.

In this case, as shown by the reference numeral 502, the autocomplete recommendation system 300 may expose additional information (search site, company) when the content keyword (naver) is exposed.

As such, the autocompletion recommendation system 300 according to the present invention may filter out a search query in advance by grasping the homonyms that are easy to be confused when users input them and exposing additional information according to the homonyms.

6 is a diagram illustrating an example of a screen for correcting and exposing a typo in an autocomplete recommendation system according to the present invention.

The autocomplete recommendation correction unit 304 includes an error correction engine 304a that corrects a typo of the search keyword when the autocomplete recommendation word associated with the search keyword is not extracted. According to an embodiment of the present invention, the typo correcting engine 304a corrects misspellings when a search keyword is input to generate a headword associated with the corrected search keyword. As shown by reference numeral 601, the typo correcting engine 304a corrects the spelling of the search keyword to "president" when "predisent" is entered as the search keyword, and is a heading for the corrected search keyword. "Are you looking for president?" And autocomplete recommendation system 300 exposes the headword. The typo correcting engine 304a is a form of the heading "Are you looking for?" Can be set in advance, and only the keywords can be changed to generate headings for the revised search keywords.

In addition, according to another embodiment of the present invention, when the autocomplete recommendation associated with the search keyword is not extracted, the typo correcting engine 304a corrects the search keyword to reconstruct the autocomplete recommendation associated with the corrected search keyword. Allow extraction. In this case, the autocomplete recommendation system 300 extracts the autocomplete recommendation associated with the corrected search keyword from the query index database 301 and, as shown by reference numeral 602, " present " Expose the president's autocomplete suggestions.

7 is a diagram illustrating an example of a screen for exposing a similar word in the autocomplete recommendation system according to the present invention.

The autocomplete recommendation correction unit 304 includes a similar word recommendation engine 304c that determines a representative keyword from similar autocomplete recommendation words among the extracted autocomplete recommendation words, and associates the representative keyword with the autocomplete recommendation word. . For example, the similar autocomplete recommendation keyword is an inaccurate keyword such as "I Amsem" or "I M 아이", and the representative keyword is "I am Sam" as a correct keyword for spelling. Since the user is provided with a bad search result when the user inputs an incorrect keyword, as shown by the reference numeral 701, the autocomplete recommendation system 300, in order to induce the user to a good search result, the representative keyword (IMSAM) is exposed together in association with similar autocomplete recommendations (IMSEM, IMEM).

According to an exemplary embodiment of the present invention, the similar word recommendation engine 304c may be used for a keyword that is difficult to input a representative keyword such as a foreign word pronunciation, and may use a content keyword such as a movie name or a drama name. Therefore, it is possible to help a user input a search keyword.

According to another embodiment of the present invention, the analogous word recommendation engine 304c associates the similar autocomplete recommendation word with a representative keyword and shows the similar autocomplete recommendation word (ISM, IM) as shown by reference numeral 702. I) does not expose and exposes only the representative keyword (IMSAM).

8 is a diagram illustrating an example of a screen that exposes a shortcut link in an autocomplete recommendation system according to the present invention.

The autocomplete recommendation correction unit 304 includes a shortcut link generation engine 305d for generating a shortcut link associated with the autocomplete recommendation. The shortcut link does not move to a search result page when the selected autocomplete recommendation recommendation is selected (clicked), but instead moves directly to a predetermined web page in association with the selected autocomplete recommendation recommendation. The shortcut link generation engine 305d generates a URL (Uniform Resource Locator) for directly moving to the web page in association with the autocomplete recommendation. As shown, the autocomplete recommendation system 300 exposes the shortcut link in association with the autocomplete recommendation, and includes an " interpark " If you select "shortcut", you can go directly to the webpage associated with "Interpark".

Further, according to another embodiment of the present invention, the shortcut link generation engine 305d generates a shortcut search link associated with the autocomplete recommendation word using a click rate for each search area. The click rate for each search area is calculated by the number of clicks for each field by web, intellectual, specialized material, news, etc. The shortcut link generation engine 305d performs a shortcut in association with the autocomplete recommendation word having a high click rate for each search area. You can create a search link. The shortcut search link is for directly moving to the field-specific search result, and the shortcut link generation engine 305d may generate a URL for directly moving to the field-specific search result in association with the autocomplete recommendation word.

9 is a diagram illustrating an example of a screen that exposes a content keyword in the autocomplete recommendation system according to the present invention.

As shown, when the autocomplete recommendation system 300 includes the autocomplete recommendation word in the content keyword, the autocomplete recommendation word (naver) belonging to the content keyword is selected from other autocomplete recommendation words (Naverboom, Nate.com). , Nateon download). The autocomplete recommendation system 300 may display the content keyword large or bold, in a different color, or by including an icon to be distinguished from other autocomplete recommendation words.

In addition, according to another exemplary embodiment of the present invention, the autocomplete recommendation system 300 may delete the autocomplete recommendation word whose search frequency for a predetermined time is increased by a predetermined reference frequency or more from the autocomplete recommendation list. An autocomplete recommendation word whose search frequency has increased above a certain reference frequency for a certain period of time is a rapidly rising keyword, and is likely to provide poor search results. In this case, the autocompletion recommendation system 300 deletes the escalation keyword from the autocompletion recommendation list if the surgeon keyword is included in the autocompletion recommendation dictionary to provide a keyword that provides a bad search result. By not exposing to, you can get good search results for your users.

Further, according to another embodiment of the present invention, the autocomplete recommendation system 300 completes the autocomplete recommendation when the number of letters of the autocomplete recommendation is greater than or equal to the standard number of characters. For example, the standard number of characters may be 5 or more characters including spaces, and the autocomplete recommendation correcting unit 304 extracts a pre-completed autocompletion recommendation before inputting all of the autocompletion recommendation desired by the user. In addition, the autocomplete recommendation exposure unit 305 exposes the completed autocomplete recommendation.

The method for providing an autocomplete recommendation word according to the present invention may be implemented in the form of program instructions that can be executed by various computer means and recorded in a computer readable medium. The computer readable medium may include program instructions, data files, data structures, etc. alone or in combination. Program instructions recorded on the media may be those specially designed and constructed for the purposes of the present invention, or they may be of the kind well-known and available to those having skill in the computer software arts. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tape, optical media such as CD-ROMs, DVDs, and magnetic disks, such as floppy disks. Magneto-optical media, and hardware devices specifically configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like. The medium may be a transmission medium such as an optical or metal wire, a waveguide, or the like including a carrier wave for transmitting a signal specifying a program command, a data structure, or the like. Examples of program instructions include not only machine code generated by a compiler, but also high-level language code that can be executed by a computer using an interpreter or the like. The hardware device described above may be configured to operate as one or more software modules to perform the operations of the present invention, and vice versa.

As described above, the present invention has been described by way of limited embodiments and drawings, but the present invention is not limited to the above embodiments, and those skilled in the art to which the present invention pertains various modifications and variations from such descriptions. This is possible.

Therefore, the scope of the present invention should not be limited to the described embodiments, but should be determined not only by the claims below but also by the equivalents of the claims.

According to the present invention, an autocomplete recommendation that leads to a good search result can be provided by correcting and exposing an autocomplete recommendation to be exposed in real time according to a search keyword input situation of a user according to a predetermined search recommendation criteria.

In addition, according to the method and system for providing an autocomplete recommendation according to the present invention, an autocomplete recommendation having a high search frequency, a search result number, and a search page clickthrough rate is associated with a search keyword, thereby inducing a user to a good search result. Can be.

In addition, according to the method and system for providing an autocomplete recommendation according to the present invention, if there is a homonym among autocomplete recommendation words, additional information about the homonym is exposed together with the autocomplete recommendation word to help the user's selection. Can give

In addition, according to the method and system for providing an autocomplete recommendation word according to the present invention, when a search keyword has a typo, the typo of the search keyword may be corrected to expose the autocomplete recommendation word associated with the corrected search keyword.

In addition, according to the method and system for providing an autocomplete recommendation according to the present invention, it is possible to determine a search keyword that is difficult to input a correct keyword such as a pronunciation of a foreign language and to expose a similar autocomplete recommendation in association with a representative keyword.

In addition, according to the method and system for providing an autocomplete recommendation word according to the present invention, the autocomplete recommendation word is exposed in accordance with the search keyword, thereby reducing the user's search keyword input time and making it easier for the user to input the search keyword. .

Claims (23)

A query index database for indexing and recording a query log according to phoneme units, syllable units, or suffixes; An autocomplete recommendation extracting unit which receives a search keyword from a user and extracts at least one autocomplete recommendation associated with the search keyword from the query index database; An autocomplete recommendation corrector for correcting the extracted autocomplete recommendation based on a predetermined search recommendation criterion; And An autocomplete recommendation exposure unit for exposing the corrected autocomplete recommendation Autocomplete recommendation system comprising a. The method of claim 1, The query index database, Including the search frequency for each query, sorting and recording the query log in order of the search frequency, The autocomplete recommendation word extraction unit, Autocomplete recommendation system, characterized in that for extracting a predetermined number of autocomplete recommendation list arranged in order of the search frequency from the query index database. The method of claim 2, Further comprising a search results database for recording the number of search results and result page click rate in association with the autocomplete recommendation, The autocomplete recommendation word extraction unit, Extracting a search result number and a result page click rate associated with the autocomplete recommendation word from the search result database, The autocomplete recommendation correction unit, Autocomplete recommendation system, characterized in that to sort the list of the autocomplete recommendation in order of the search result number and the result page click rate. The method of claim 3, The autocomplete recommendation correction unit, If the autocompletion recommendation is included in two or more of a Korean dictionary, an English dictionary, an encyclopedia or a headword stored in a predetermined database, a homonym recommendation engine for generating additional information associated with each autocompletion recommendation. The autocomplete recommended word exposure unit, Autocomplete recommendation system, characterized in that to expose the additional information associated with the autocomplete recommendation. The method of claim 4, wherein The homonym recommendation engine, And when the autocomplete recommendation word is included in two or more predetermined content keywords, generating additional information associated with each autocomplete recommendation word. The method of claim 3, The autocomplete recommendation correction unit, If an autocomplete recommendation associated with the search keyword is not extracted, includes a typo correction engine for correcting the typo of the search keyword, The autocomplete recommendation word extraction unit, Extracting an autocomplete recommendation word associated with the corrected search keyword from the query index database. The method of claim 6, The typo correction engine, Generate a headword associated with the revised search keyword, The autocomplete recommended word exposure unit, Autocomplete recommendation system, characterized in that to expose the generated headword. The method of claim 3, The autocomplete recommendation correction unit, A similar keyword recommendation engine for determining a representative keyword from similar autocomplete recommendations among the extracted autocomplete recommendations, and associating the representative keyword with the autocomplete recommendation keyword, The autocomplete recommended word exposure unit, Autocomplete recommendation system, characterized in that to expose the representative keyword associated with the autocomplete recommendation. The method of claim 8, The synonym recommendation engine, And the representative keyword associated with the autocomplete recommendation word to the autocomplete recommendation word exposure unit. The method of claim 3, The autocomplete recommendation correction unit, A shortcut link generation engine that generates a shortcut link associated with the autocomplete recommendation word, The autocomplete recommended word exposure unit, Autocomplete recommendation system, characterized in that to expose the shortcut link in association with the autocomplete recommendation. The method of claim 10, The shortcut link generation engine, And a shortcut search link associated with the autocomplete recommendation word using a predetermined click rate for each search area. The method of claim 3, The autocomplete recommended word exposure unit, And when the autocomplete recommendation word is included in the content keyword, the autocomplete recommendation system belonging to the content keyword is displayed and displayed differently from other autocomplete recommendation words. The method of claim 3, The autocomplete recommendation correction unit, Autocomplete recommendation system, characterized in that for deleting the autocomplete recommendation in which the search frequency for a certain time increased more than a predetermined reference frequency from the autocomplete recommendation list. The method of claim 3, The autocomplete recommendation correction unit, If the number of letters of the autocomplete recommendation words is more than the standard number of characters, complete the autocomplete recommendation words, The autocomplete recommended word exposure unit, Autocomplete recommendation system, characterized in that to expose the completed autocomplete recommendation. Indexing the query log according to phoneme units, syllable units, or suffixes and recording the query log in a query index database; Receiving a search keyword from a user and extracting at least one autocomplete recommendation associated with the search keyword from the query index database; Correcting the extracted autocomplete recommendation keyword according to a predetermined search recommendation criterion; And Exposing the corrected autocomplete recommendation Autocomplete recommendation providing method comprising a. The method of claim 15, Recording the number of search results and a result page click rate in association with the autocomplete recommendation in a search results database; The step of indexing the query log according to phoneme units, syllable units, or suffixes and writing the query log to the query index database, Including the search frequency for each query, and sorting the query log in order of the search frequency and recording the query log in the query index database, The step of extracting at least one autocomplete recommendation associated with the search keyword, Extracting a predetermined number of autocomplete recommendation lists arranged in order of the search frequency from the query index database, extracting a search result number and a result page click rate associated with the autocomplete recommendation from the search result database, Exposing the corrected autocomplete recommendation, And providing a list of the autocomplete recommendation words in order of the number of search results and the click rate of the result page. The method of claim 16, The step of correcting the extracted autocomplete recommendations according to a predetermined search recommendation criteria, Generating additional information associated with each autocomplete recommendation if the autocomplete recommendation is included in at least two of a Korean dictionary, an English dictionary, an encyclopedia, or a headword stored in a predetermined dictionary database; Exposing the corrected autocomplete recommendation, Autocomplete recommendation providing method comprising the step of exposing each autocomplete recommendation and the additional information associated with the autocomplete recommendation. The method of claim 17, The step of correcting the extracted autocomplete recommendations according to a predetermined search recommendation criteria, And generating additional information associated with each autocomplete recommendation word when the autocomplete recommendation word is included in two or more predetermined content keywords. The method of claim 16, The step of correcting the extracted autocomplete recommendations according to a predetermined search recommendation criteria, If an autocomplete recommendation associated with the search keyword is not extracted, correcting a typo in the search keyword; The step of extracting at least one autocomplete recommendation associated with the search keyword, Extracting an autocomplete recommendation word associated with the corrected search keyword from the query index database. The method of claim 19, The step of correcting the extracted autocomplete recommendations according to a predetermined search recommendation criteria, Generating a headword associated with the revised search keyword, Exposing the corrected autocomplete recommendation, Autocomplete recommendation providing method characterized in that the step of exposing the generated headword. The method of claim 16, The step of correcting the extracted autocomplete recommendations according to a predetermined search recommendation criteria, Determining a representative keyword from similar autocomplete recommendations among the extracted autocomplete recommendations; And Associating the representative keyword with the autocomplete recommendation keyword, Exposing the corrected autocomplete recommendation, And displaying the representative keyword in association with the autocomplete recommendation word. The method of claim 16, The step of correcting the extracted autocomplete recommendations according to a predetermined search recommendation criteria, Generating a shortcut link associated with the autocomplete recommendation word, Exposing the corrected autocomplete recommendation, And providing the shortcut link in association with the autocomplete recommendation. A computer-readable recording medium in which a program for executing the method of any one of claims 15 to 22 is recorded.

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