CN110020335B

CN110020335B - Favorite processing method and device

Info

Publication number: CN110020335B
Application number: CN201710633617.0A
Authority: CN
Inventors: 侯柏岑
Original assignee: Beijing Sogou Technology Development Co Ltd
Current assignee: Beijing Sogou Technology Development Co Ltd
Priority date: 2017-07-28
Filing date: 2017-07-28
Publication date: 2022-04-26
Anticipated expiration: 2037-07-28
Also published as: CN110020335A

Abstract

The embodiment of the invention provides a method and a device for processing favorites, wherein the method specifically comprises the following steps: receiving a search word input by a user; matching the search terms with the label information corresponding to the favorite entries in the favorites to obtain target favorite entries matched with the search terms; the tag information is extracted from feature information corresponding to the favorite entries, or the tag information is obtained according to user setting; the characteristic information includes at least one of the following information: self-naming of the website and/or naming of the user, folder information, description information of the favorite entries in the favorites by the third-party system and/or other users, and the website domain name; and displaying the target favorite entries as search results corresponding to the search terms. The embodiment of the invention can reduce the searching difficulty of the favorite entries to a certain extent and can improve the searching efficiency, the searching success rate and the searching coverage rate of the favorite entries.

Description

Favorite processing method and device

Technical Field

The present invention relates to the field of network communication technologies, and in particular, to a method and an apparatus for processing favorites.

Background

When a user browses a webpage by using a browser, favorite or commonly used websites can be recorded and reserved through the self-contained favorite function of the browser, and when the user wants to browse some collected websites again later, the user only needs to directly open the favorite and click the name of the website in the favorite to access the webpage corresponding to the website without inputting the website again.

Along with the accumulation of the use duration of the browser and the accumulation of the user browsing webpages, more and more websites are collected in the favorites; in addition, because the interesting contents of the user in different time periods are different, the websites in the favorites are disordered; thus, it is difficult for the user to find a desired web address.

In order to facilitate the user to search for web addresses in the favorites, some browsers provide the search function of the favorites. The existing scheme can compare the search word input by the user with the webpage title or the website character string corresponding to the website in the favorite, and if the search word is consistent with the webpage title or the website character string, the corresponding website can be provided for the user as a search result.

However, the existing solutions require consistency between the search term and the web title or web site character string corresponding to the web site in the favorite, and when the search term input by the user is inconsistent with the web title or web site character string corresponding to the desired web site in the favorite, the desired web site cannot be obtained. Therefore, the existing scheme requires the user to accurately memorize the webpage title or the website character string corresponding to the website, which not only increases the difficulty of memorizing the webpage title or the website character string by the user, but also influences the success rate of searching the website in the favorite.

Disclosure of Invention

In view of the above problems, embodiments of the present invention provide a method, an apparatus, and a device for processing favorites, which overcome or at least partially solve the above problems, and can reduce the difficulty of searching for favorites entries to a certain extent, and improve the efficiency, success rate, and coverage rate of searching for favorites entries.

In order to solve the above problems, the present invention discloses a favorite processing method, comprising:

receiving a search word input by a user;

matching the search word with the label information corresponding to the favorite entries in the favorites to obtain a target favorite entry matched with the search word; the tag information is extracted from feature information corresponding to the favorite entries, or the tag information is obtained according to user setting; the characteristic information includes at least one of the following information: self-naming of the website and/or naming of the user, folder information, description information of the favorite entries in the favorites by the third-party system and/or other users, and the website domain name;

and displaying the target favorite entries as search results corresponding to the search terms.

Optionally, the tag information corresponding to the favorite entry in the favorite is determined by the following steps:

extracting second information from self-naming and/or user naming of a website corresponding to a favorite entry in a favorite, wherein the second information is used as tag information corresponding to the favorite entry; and/or

Extracting third information from folder information corresponding to favorite entries in the favorites to serve as label information corresponding to the favorite entries; and/or

According to label information set by a user for a favorite entry in a favorite, the label information is used as label information corresponding to the favorite entry; and/or

Extracting fourth information from description information of the favorite entries in the favorites of a third-party system and/or other users, wherein the fourth information is used as label information corresponding to the favorite entries; and/or

And obtaining label information corresponding to the favorite entries according to the website domain names corresponding to the favorite entries in the favorite.

Optionally, the tag information includes: at least one independent tag information, wherein the matching of the search term with the tag information corresponding to the favorite entry in the favorite includes:

matching the search terms with single label information corresponding to a current favorite entry in the favorites;

and if the search word is successfully matched with certain label information corresponding to the current favorite entry, taking the current favorite entry as a target favorite entry matched with the search word.

Optionally, the matching of the search term and certain tag information corresponding to the current favorite entry is successful, including:

the search word is the same as certain label information corresponding to the current favorite entry; or

The search word has the same or similar or related semantic meaning with the certain label information corresponding to the current favorite entry.

performing word segmentation on the search word to obtain at least one word segmentation word corresponding to the search word;

and matching the single participle vocabulary with single label information corresponding to the favorite entries in the favorites, and taking the favorite entries matched with the single participle vocabulary as target favorite entries matched with the search words.

Optionally, the presenting the target favorite entry as a search result corresponding to the search term includes:

sorting the plurality of target collection folder entries;

and displaying the sorted target favorite entries as search results corresponding to the search terms.

Optionally, the sorting the plurality of target favorite entries includes:

sequencing a plurality of target favorite entries according to the matching degree between the label information corresponding to the favorite entries and the search terms; and/or

Sequencing the target favorite entries according to the label weights of the label information corresponding to the favorite entries and matched with the search terms; and/or

And sequencing the target favorite entries according to the matching degree between the categories of the favorite entries and the categories of the search terms.

In another aspect, the present invention discloses a favorite processing device, including:

the receiving module is used for receiving search terms input by a user;

the matching module is used for matching the search terms with the label information corresponding to the favorite entries in the favorites to obtain target favorite entries matched with the search terms; the tag information is extracted from feature information corresponding to the favorite entries, or the tag information is obtained according to user setting; the characteristic information includes at least one of the following information: self-naming of the website and/or naming of the user, folder information, description information of the favorite entries in the favorites by the third-party system and/or other users, and the website domain name; and

and the search result display module is used for displaying the target favorite entries as search results corresponding to the search terms.

Optionally, the apparatus further comprises:

the tag determining module is used for determining tag information corresponding to the favorite entries in the favorites;

the tag determination module includes:

the first label determining submodule is used for obtaining label information corresponding to the favorite entries according to the website domain name corresponding to the favorite entries in the favorite; and/or

The second label determining submodule is used for extracting second information from self-naming and/or user naming of the website corresponding to the favorite entry in the favorite, and the second information is used as label information corresponding to the favorite entry; and/or

The third label determining submodule is used for extracting third information from the folder information corresponding to the favorite entries in the favorites to be used as label information corresponding to the favorite entries; and/or

The fourth tag determining submodule is used for taking tag information set for a favorite entry in the favorite by a user as tag information corresponding to the favorite entry; and/or

And the fifth tag determining submodule is used for extracting fourth information from the description information of the favorite entries in the favorites of the third-party system and/or other users, and the fourth information is used as tag information corresponding to the favorite entries.

Optionally, the tag information includes: at least one independent tag information, the matching module comprising:

the first matching sub-module is used for matching the search terms with single label information corresponding to the current favorite entry in the favorites;

and the target favorite entry determining submodule is used for taking the current favorite entry as a target favorite entry matched with the search word if the search word is successfully matched with certain label information corresponding to the current favorite entry.

the word segmentation sub-module is used for performing word segmentation on the search word to obtain at least one word segmentation word corresponding to the search word;

and the second matching sub-module is used for matching the single word segmentation vocabulary with the single label information corresponding to the favorite entries in the favorites and taking the favorite entries matched with the single word segmentation vocabulary as target favorite entries matched with the search words.

Optionally, the search result presentation module includes:

the sorting submodule is used for sorting the target collection folder entries;

and the sequencing display sub-module is used for displaying the sequenced target favorite entries as the search results corresponding to the search terms.

Optionally, the sorting sub-module includes:

the first sequencing unit is used for sequencing the target favorite entries according to the matching degree between the label information corresponding to the favorite entries and the search terms; and/or

The second sorting unit is used for sorting the target favorite entries according to the label weights of the label information corresponding to the favorite entries and matched with the search terms; and/or

And the third sequencing unit is used for sequencing the target favorite entries according to the matching degree between the categories of the favorite entries and the categories of the search terms.

In yet another aspect, an apparatus for processing favorites is disclosed that includes a memory, and one or more programs, wherein the one or more programs are stored in the memory, and wherein the one or more programs configured to be executed by the one or more processors include instructions for:

receiving a search word input by a user;

In yet another aspect, the present invention discloses a machine-readable medium having stored thereon instructions, which when executed by one or more processors, cause an apparatus to perform a method of processing one or more of the aforementioned favorites.

The embodiment of the invention has the following advantages:

in the embodiment of the invention, the search of the favorite entries is realized through the matching between the search words and the tag information corresponding to the favorite entries in the favorite, so that the search of the favorite entries can be supported through the tag information corresponding to the favorite entries, and in practical application, the tag information corresponding to the favorite entries can be more flexible and conveniently memorized information, specifically, the tag information can be concise information extracted from the characteristic information corresponding to the favorite entries, or the tag information can be more familiar information set by a user, so that the memorizing difficulty of the tag information corresponding to the favorite entries can be far less than that of the webpage titles or website character strings corresponding to the favorite entries, therefore, the embodiment of the invention can reduce the searching difficulty of the favorite entries to a certain extent, and can improve the searching efficiency of the favorite entries, Search success rate and search coverage.

Drawings

FIG. 1 is a flowchart illustrating a first embodiment of a favorite processing method according to the present invention;

FIG. 2 is a block diagram of an embodiment of a favorite processing device of the present invention;

FIG. 3 is a block diagram of a terminal according to an embodiment of the present invention; and

FIG. 4 is a block diagram of a configuration of a device for favorite processing of the present invention as a server.

Detailed Description

In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.

The embodiment of the invention provides a processing scheme of favorites, which can receive search words input by a user, match the search words with tag information corresponding to favorites entries in the favorites to obtain target favorites entries matched with the search words, and display the target favorites entries as search results corresponding to the search words.

In the embodiment of the present invention, the tag information corresponding to the favorite entry may reflect the characteristics of the favorite entry, and specifically, the tag information may be information extracted from the characteristic information corresponding to the favorite entry, or the tag information may be obtained according to user settings; wherein the feature information may include at least one of the following information: self-naming of the web site and/or user naming, folder information, description information of favorite entries in favorites by third party systems and/or other users, and the web site domain name.

In the embodiment of the invention, the search of the favorite entries is realized through the matching between the search words and the tag information corresponding to the favorite entries in the favorite, so that the search of the favorite entries can be supported through the tag information corresponding to the favorite entries, and in practical application, the tag information corresponding to the favorite entries can be relatively flexible and easy to remember, specifically, the tag information can be concise information extracted from the characteristic information corresponding to the favorite entries, or the tag information can be relatively familiar information set by a user, so that the memorizing difficulty of the tag information corresponding to the favorite entries can be far less than that of the webpage titles or website character strings corresponding to the favorite entries, therefore, the embodiment of the invention can reduce the searching difficulty of the favorite entries to a certain extent, and can improve the searching efficiency of the favorite entries, Search success rate and search coverage.

In embodiments of the present invention, a favorites entry may be used to indicate an entry that supports favorites, and examples of favorites entries may include: the favorite entries may be, for example, pages, articles (e.g., news articles, blog articles, WeChat articles, etc.), topics, posts, microblogs, commodities, stores, etc., and it is understood that the embodiments of the present invention are not limited to specific favorite entries.

The embodiment of the present invention may be applied to a website and/or an Application scenario of an APP (Application program), where an example of the APP may include: the browser can provide functions of collecting webpages, searching favorite entries and the like. The embodiment of the invention mainly takes a browser as an example to describe the processing method of the favorites in the embodiment of the invention, and the processing methods of the favorites corresponding to other APPs can be referred to each other.

In practical applications, the user may add the favorite entry to be collected to the favorite through the favorite interface, for example, the web page to be collected may be added to the favorite through the favorite interface on the browser. The user may trigger the favorite processing method according to the embodiment of the present invention through the search interface, for example, the search interface may be a search box on a browser, and it may be understood that the specific favorite interface and the search interface are not limited in the embodiment of the present invention.

The favorite processing method provided by the embodiment of the invention can be applied to the application environments of the client and the server, wherein the client and the server are positioned in a wired or wireless network, and the client and the server perform data interaction through the wired or wireless network.

Optionally, the client may run on an intelligent terminal, and the intelligent terminal specifically includes but is not limited to: smart phones, tablet computers, electronic book readers, MP3 (Moving Picture Experts Group Audio Layer III) players, MP4 (Moving Picture Experts Group Audio Layer IV) players, laptop portable computers, car-mounted computers, desktop computers, set-top boxes, smart televisions, wearable devices, and the like.

The tag information corresponding to the favorite entry may reflect characteristics of the favorite entry, and according to some embodiments, tag information corresponding to the characteristics of the favorite entry may be added. According to the actual application requirements, the technical personnel in the field can flexibly determine the label information corresponding to the favorite entries in the favorites by combining one or more characteristics so as to obtain the label information convenient to memorize.

The embodiment of the invention can provide the following determination mode for determining the tag information corresponding to the favorite entries in the favorites:

determining a mode 1, and obtaining label information corresponding to a favorite entry according to a website domain name corresponding to the favorite entry in a favorite; and/or

Determining a mode 2, extracting second information from self-naming and/or user naming of a website corresponding to a favorite entry in a favorite, and using the second information as tag information corresponding to the favorite entry; and/or

Determining a mode 3, extracting third information from folder information corresponding to a favorite entry in a favorite, and taking the third information as label information corresponding to the favorite entry; and/or

Determining a mode 4, and taking the label information set for the favorite entries in the favorite by the user as the label information corresponding to the favorite entries; and/or

And determining a mode 5, and extracting fourth information from the description information of the favorite entries in the favorites of the third-party system and/or other users to serve as the label information corresponding to the favorite entries.

In the determination mode 1, the website domain name corresponding to the favorite entry may be used as a basis for the tag information. The domain name of the website refers to a domain name of the website, and the domain name can be regarded as an identifier of the host in a public network environment, and can correspond to a unique IP (Internet Protocol ) in the public network. Some websites will exhibit the functionality of a website in the domain name of the website, as seen by the "icon finder" translated by the domain name "iconfinder", which is the website where the icon is found, for example, the website https:// www.iconfinder.com/. Therefore, the determination method 1 can reflect the functions of the website according to the label information obtained by the website domain name corresponding to the favorite entry in the favorite. In practical application, the tag information may be extracted from the website domain name corresponding to the favorite entry in the favorite, or the tag information may be extracted from the related information (such as semantic information, translation information, etc.) of the website domain name corresponding to the favorite entry in the favorite.

For the determination mode 2, the self-naming of the website may be the name of the website for the website, and optionally, the self-naming of the website may be displayed through a tab page of the browser. The self-naming of the website may include certain value information, for example, the value information may reflect the value of the service content or the provided service direction of the website, and the second information extracted from the self-naming of the website may reflect the value of the website. Taking website https:// www.iconfinder.com/as an example, the self-naming of the website is "iconfinder-1,400.00 + free and premium ics", and second information such as [ iconfinder ], [ free ], [ premium ] and the like can be extracted from the self-naming of the website as tag information corresponding to the favorites entry.

The user name of the website can be the subjective name of the user for the website, and in practical application, the user can modify the self-naming name of the website in the process of collecting the website so as to obtain the user name of the website. As the user of the website is named as the user setting, the website can accord with the personal habit of the user, thereby being convenient for the user to memorize. For example, assume that the website https:// www.iconfinder.com/is named as "PPT find icon", so that the second information such as tags [ PPT ], [ icon ], [ find icon ] can be extracted from the website as the tag information corresponding to the favorites entry.

For the determination mode 3, the folder information corresponding to the favorite entry is specifically information such as a folder name where the favorite entry is located, and since the folder name where the favorite entry is located is usually set by a user, the folder name can reflect the classification summarization of the user on the favorite entry in the folder, the third information extracted from the folder information corresponding to the favorite entry can meet the personal habits of the user, and is convenient for the user to memorize. In practical application, the folder information corresponding to the favorite entries can be filtered, invalid folder information corresponding to the favorite entries, such as invalid folder names of a new folder, a new folder 2 and the like, is filtered, and valid folder information corresponding to the favorite entries, such as valid folder names of a shopping website, a data correlation, a work correlation and the like, is reserved; further, the third information may be extracted from the valid folder information corresponding to the favorite entry as the tag information corresponding to the favorite entry.

For the determination mode 4, setting of the tag information by the user may be supported, and specifically, a tag setting interface may be provided for the user, so that the user sets the tag information corresponding to the favorite entry through the tag setting interface. Optionally, the tag setting interface may be located in a right-click menu of the favorite entry, and it is understood that the specific position of the tag setting interface and the specific setting manner of the tag information are not limited in the embodiment of the present invention.

For determination mode 4, the description information from the third party system and/or other users for the favorites entry in the favorites may include: and the fourth information can be extracted from the characteristics of the favorite entries and used as the label information corresponding to the favorite entries.

In practical applications, the third-party system may be a system other than the processing system of the favorites, and examples of the third-party system may include: encyclopedia websites, website navigation websites and the like. The description information of the third-party system for the favorite entry in the favorite can include: the introduction of the favorite items on the encyclopedia website, the classification information of the favorite items in the navigation website and the like; for example, https:// www.vip.com/category information in the navigation site is "shopping site", from which [ shopping ] can be extracted as corresponding tag information.

The description information of the other users for the favorite entry may include: and marking information of the favorite entries by other users. The other users are relative to the current user, which may be different users than the current user. The annotation information may include: the embodiment of the invention can extract the fourth information from the description information of other users for the favorite entries by using the description information of other users as the label information corresponding to the favorite entries of the current user.

The process of determining the tag information corresponding to the favorite entry in the favorite is described in detail through the determination modes 1 to 5, and it can be understood that a person skilled in the art may adopt any one or a combination of the determination modes 1 to 5 or may also adopt other modes to determine the tag information corresponding to the favorite entry in the favorite according to the actual application requirements, and it can be understood that the specific process of determining the tag information corresponding to the favorite entry in the favorite is not limited in the embodiment of the present invention.

It should be noted that, for a favorite entry, the number of corresponding tag information may be one or more, that is, the tag information may include: at least one independent tag information. In the case where the tag information includes a plurality of tag information, the plurality of tag information are independent of each other.

It should be noted that, after determining the tag information corresponding to the favorite entry in the favorite, the embodiment of the present invention may further store the tag information corresponding to the favorite entry in the favorite, for example, a mapping relationship between the favorite entry and the tag information may be established and stored, and it is understood that the embodiment of the present invention does not limit the specific storage manner corresponding to the tag information corresponding to the favorite entry.

In an optional embodiment of the present invention, a corresponding tag weight may be further set for tag information corresponding to the favorite entry, and the tag weight may reflect an importance degree of the tag information.

Those skilled in the art can determine the label weight corresponding to the label information according to the actual application requirement. Optionally, since the information set by the user conforms to the personal use habit and the classification habit of the user, the information set by the user may include: the user name corresponding to the favorite entry, the folder information corresponding to the favorite entry, or the label information set for the favorite entry in the favorite by the user, etc., so that a larger label weight can be set for the label information obtained according to the user name corresponding to the favorite entry, the folder information corresponding to the favorite entry, or the label information set for the favorite entry in the favorite by the user.

Optionally, the tag weight corresponding to the tag information may be determined according to the category of the favorite entry. For example, a higher tag weight may be set for tag information that is consistent with the category of the favorite entry, while a lower tag weight may be set for tag information that is inconsistent with the category of the favorite entry. Categories of favorites entries may include: a commodity category, or a platform category, etc. For example, the name of a certain commodity a corresponding to a certain website collected by a certain user is "dan municel 2017 spring pack new elegant silk middle sleeve printed straight-tube one-piece dress V-collar one-step dress 5231-tmall. Tag information of commodity categories such as [ spring uniform ], [ real silk ], [ middle sleeve ], [ one-piece dress ], [ one-step dress ], and tag information of platform categories such as [ shopping ], [ Taobao ], can be weighted more for tag information of commodity categories because tag information of commodity categories matches the categories of favorites. As another example, the category of https:// www.vip.com/collected by the user is the platform category, so a larger weight can be set for tag information such as [ shopping ].

In an application example of the present invention, the label information of the product category and the label information of the platform category are Wa and Wb, respectively, and then m × Wa + n × Wb is 1, where m and n are the number of the label information of the product category and the number of the label information of the platform category, respectively. Of course, the above-mentioned m × Wa + n × Wb is merely an example, and in fact, the embodiment of the present invention does not limit the specific numerical relationship between the label information of the product category and the label information of the platform category.

In order to make the embodiment of the present invention better understood by those skilled in the art, a specific process for determining tag information corresponding to a favorite entry in a favorite is described herein by a specific application example.

Application examples 1,

In application example 1, assuming that a user adds a website "https:// www.iconfinder.com/as a favorite entry to an existing folder" design related ", and modifies the name of the website to" PPT find icon ", a specific process of determining tag information corresponding to the website according to an embodiment of the present invention may include:

and step A1, acquiring label information corresponding to the website according to the website domain name of the website, specifically, because the translation information of https:// www.iconfinder.com/"middle domain name" iconfinder "is an icon finder, it can be seen that the website is a website for finding icons, and therefore, the label information corresponding to the website, such as [ icon ], [ iconfinder ] and the like, can be acquired on the basis.

Step A2, extracting second information from the self-naming of the website as the label information corresponding to the website, specifically, the self-naming of the website is "iconfinder-1,400.00 + free and premium ics", so that the second information such as [ iconfinder ], [ free ], [ premium ] and the like can be extracted from the website as the label information.

Step A3, extracting second information from the user name of the website as the label information corresponding to the website; sometimes, when a user collects a website, the user can manually pick the name of the website, and the information is picked by the user, so that the information accords with personal use habits and classification habits of the user and is used as a source of label information; in application example 1, assuming that the user modifies the name of the website to "PPT find icon", tag information, such as [ PPT ], [ icon ], [ find icon ], may be extracted from the current name of the website.

Step A4, extracting third information from the folder information corresponding to the website in the favorite, and using the third information as the label information corresponding to the website; in the application example 1, the folder name corresponding to the website in the favorite is "design related", so that the tag information, such as [ design ] and the like, can be extracted from the folder.

And step A5, extracting fourth information from other reference information corresponding to the website as label information corresponding to the website. Other reference information may include: introduction of the web site on an encyclopedia website, classification in a navigation website, manual labeling of even other users faced by the browser, and the like.

Through the steps a1 to a5, the following tag information corresponding to the website can be obtained: [ PPT ], [ icon ], [ design ], [ icon ], [ icons ], [ icones ], [ iconfinder ], [ free ], and the like.

Application examples 2,

In application example 2, assume that a user adds a website address "https:// www.vip.com/" as a favorite entry to the bookmark bar of a favorite, but does not create a folder for him and add it to an existing folder, nor does the user modify the name for him, using the website default storage name "family (original vipshop. com) special association: a website dedicated for special sale, certified goods, low price, payment on delivery ", the specific process of determining the label information corresponding to the website according to the embodiment of the present invention may include:

step B1, obtaining the label information corresponding to the website according to the website domain name of the website, specifically, extracting the domain name "vip" from "https:// www.vip.com/" as the label information corresponding to the website, that is, the label information corresponding to the website may include: [ vip ].

Step B2, extracting second information from the self-naming of the website as the label information corresponding to the website, specifically, the self-naming of the website is "takeonly conference (original vipshop. com): a special selling website, ensure good product, ensure low price and pay for goods, so that second information such as [ exclusive venues ], [ special venues ], [ good products ], [ low price ] and [ pay for goods ] can be extracted from the special selling website as label information.

Step B3, extracting second information from the user name of the website as the label information corresponding to the website; sometimes, when a user collects a website, the user can manually pick the name of the website, and the information is picked by the user, so that the information accords with personal use habits and classification habits of the user and is used as a source of label information; in the application example 2, the user does not modify the name for the website, and the default storage name of the website, that is, the self-naming name of the website, is used, so the extraction result in this step is consistent with the extraction result in step B2.

Step B4, extracting third information from the folder information corresponding to the website in the favorite, and using the third information as the label information corresponding to the website; in application example 2, since the user does not create a folder for the website and does not add it to an existing folder, the extraction result in this step is null.

And step B5, extracting fourth information from other reference information corresponding to the website as the label information corresponding to the website. Other reference information may include: introduction of the web site on an encyclopedia website, classification in a navigation website, manual labeling of even other users faced by the browser, and the like. In application example 2, the website is classified as a shopping website in the navigation website, so that tag information [ shopping ] can be extracted.

Through the steps B1 to B5, the following tag information corresponding to the website can be obtained: [ vip ], [ exclusive vend ], [ special sell ], [ genuine ], [ low price ], [ payment for goods ], [ shopping ], and the like.

Method embodiment one

Referring to fig. 1, a flowchart illustrating steps of a first embodiment of a favorite processing method according to the present invention is shown, which may specifically include the following steps:

step 101, receiving a search word input by a user;

102, matching the search word with tag information corresponding to favorite entries in the favorites to obtain a target favorite entry matched with the search word;

specifically, the tag information may be information extracted from feature information corresponding to the favorite entry, or the tag information may be obtained according to user setting; wherein the feature information may include at least one of the following information: self-naming of the web site and/or user naming, folder information, description information of favorite entries in favorites by third party systems and/or other users, and the web site domain name.

And 103, displaying the target favorite entries as search results corresponding to the search terms.

In practical applications, a search interface may be provided to a user to enable the user to enter search terms through the search interface. Alternatively, the search interface may be a search box, a voice input interface, or the like, so that the user inputs search words by means of a keyboard or a voice. According to an embodiment, the content in the search box may be used as the search term input by the user, and it is understood that the specific input mode of the search term is not limited in the embodiment of the present invention. As an example, a tool for finding my favorite may be included in a toolbar of the browser, and if a trigger instruction of the user for the tool for finding my favorite is received, a search box may pop up, and the content in the search box is used as a search word input by the user, so as to execute the process of the embodiment of the present invention.

In an optional embodiment of the present invention, before the step 102 matches the search term with the tag information corresponding to the favorite entry in the favorite, the method of the embodiment of the present invention may further include: and determining label information corresponding to the favorite entries in the favorites. Specifically, any one or a combination of the foregoing determination methods 1 to 5 may be adopted to determine the tag information corresponding to the favorite entry in the favorite.

Step 102 may match the search term obtained in step 101 with tag information corresponding to a favorite entry in the favorite to obtain a target favorite entry matching the search term.

In this embodiment of the present invention, matching between the search term and the tag information corresponding to the favorite entry in the favorite may include: exact match, or fuzzy match. The accurate matching means that the search word is used as a fixed phrase for retrieval, and the whole search word is matched with the label information if the whole search word is the same as the label information; and fuzzy matching can automatically split a search word into a unit concept (hereinafter referred to as word segmentation vocabulary), and carry out logic and operation, and no matter what the position of the word segmentation vocabulary is, the word segmentation vocabulary appears in the label information or the semantic matching between the label information and the word segmentation vocabulary can be considered to be matched. The fuzzy matching does not require the whole search word to be the same as the label information, so that a user can input a complete website name or a keyword of the stored website name without inputting the complete website name or the stored website name during the searching process of the favorites.

In an optional embodiment of the present invention, the tag information may include: the step 102 of matching the search term with the tag information corresponding to the favorite entry in the favorite may include: matching the search terms with single label information corresponding to a current favorite entry in the favorites; and if the search word is successfully matched with certain label information corresponding to the current favorite entry, taking the current favorite entry as a target favorite entry matched with the search word. In practical application, one favorite entry may correspond to at least one piece of tag information, and if a search word is successfully matched with a certain piece of tag information corresponding to a certain favorite entry, the search word may be considered to be matched with the favorite entry. It can be understood that the search term may be successfully matched with part or all of the tag information corresponding to the favorite entry, and as long as the search term is successfully matched with a certain tag information corresponding to a certain favorite entry, the search term may be considered to be matched with the favorite entry.

Optionally, the successful matching of the search term and a certain tag information corresponding to the current favorite entry may specifically include:

Semantics can refer to the meaning of a concept represented by a real-world object corresponding to data, and the relationship between the meanings, which is the interpretation and logical representation of data in a certain field. In the embodiment of the invention, the search word has the same or similar or related semantics with the certain label information, so that the matching range corresponding to the search word can be increased, and the difficulty of memorizing the search word by a user can be reduced.

In practical application, whether the search word and certain label information are synonyms or not can be judged, and if yes, the semantics of the search word and certain label information can be considered to be the same. Or, semantic similarity between the search word and certain label information may be calculated, optionally, the search word and a first word vector and a second word vector corresponding to the certain label information may be determined respectively, and then, the semantic similarity between the first word vector and the second word vector may be determined by using similarity metrics such as cosine distance, euclidean distance, and the like, and if the semantic similarity between the first word vector and the second word vector is within a first preset range, the semantic similarity between the first word vector and the second word vector may be considered as similar. For example, "skirt" is synonymous with "skirt". The semantics of "platform" and "background" are similar, etc.

Or, a semantic correlation coefficient between the search term and certain label information may be determined, and if the semantic correlation coefficient is within a second preset range, the semantic correlation between the search term and the certain label information may be considered. For example, "special offers" is related to the semantics of "special offers", while "specials" is not related to the semantics of "specials". As another example, a "discounted good" and a "special sale" can form semantically identical references, semantically related to both, and so forth.

In yet another optional embodiment of the present invention, the tag information may include: the process of matching the search term with the tag information corresponding to the favorite entry in the favorite may include: performing word segmentation on the search word to obtain at least one word segmentation word corresponding to the search word; and matching the single participle vocabulary with single label information corresponding to the favorite entries in the favorites, and taking the favorite entries matched with the single participle vocabulary as target favorite entries matched with the search words. The embodiment of the invention can match the search words and the label information by taking the participle words contained in the search words as granularity, thereby realizing fuzzy matching between the search words and the label information, increasing the matching range corresponding to the search words and reducing the difficulty of memorizing the search words by a user.

In an application example of the embodiment of the present invention, assuming that a search word of a user is a "PPT small icon", the search word may be decomposed into word-segmented words such as "PPT" and "icon", and the word-segmented words are matched with single tag information of a pre-stored website; assume that the label information for the web site "https:// www.iconfinder.com/" includes: [ PPT ], [ icon ], [ design ], [ icon ], [ icons ], [ icones ], [ iconfine ], [ free ], etc., by matching, it can be considered that: the participle word "PPT" is matched with the tag information [ PPT ], and the participle word "icon" is matched with the tag information [ icon ], so that the search word "PPT small icon" can be considered to be matched with the website "https:// www.iconfinder.com/", and the website "https:// www.iconfinder.com/" is taken as a target favorite entry corresponding to the search word "PPT small icon", namely a search result.

In another application example of the embodiment of the present invention, assuming that the search word of the user is "special price shopping", the search word may be decomposed into word-divided words such as "special price", "shopping", and the like, and the word-divided words are matched with the label information of the pre-stored website; assume that the label information for the web site "https:// www.vip.com/" includes: [ vip ], [ monopoly ], [ special interest ], [ genuine ], [ low price ], [ payment for goods ], [ shopping ], etc., by matching, it can be considered that: the participle word "special price" is matched with the tag information [ special sale ], and the participle word "shopping" is matched with the tag information [ shopping ], so that the search word "special price shopping" can be considered to be matched with the web address "https:// www.iconfinder.com/", and the web address "https:// www.iconfinder.com/" is taken as a target favorite entry corresponding to the search word "special price shopping", namely, a search result.

In another application example of the embodiment of the present invention, it is assumed that the search term of the user is "discounted goods", and since the "discounted goods" and the "special offers" form the same semantic reference, websites such as a guild website containing [ special offers ] tag information can be matched as the search result.

In another application example of the embodiment of the present invention, assuming that the search term of the user is "platform", the name of the obtained target favorite entry may include "platform" and may also include "background", where the semantics of "background" and "background" are similar, and examples of the obtained target favorite entry may include: the system comprises a small-flow data platform, a search promotion platform, a white list management system platform, a client management background and the like.

In an optional embodiment of the present invention, the process of presenting the target favorite entry as the search result corresponding to the search term in step 103 may specifically include: sorting the plurality of target collection folder entries; and displaying the sorted target favorite entries as search results corresponding to the search terms.

In practical applications, the ranking indicators corresponding to the target favorites entries may be various, for example, examples of the ranking indicators may include: the method includes the steps of determining the use frequency corresponding to the favorite entries and the popularity corresponding to the favorite entries, and the like, wherein the use frequency corresponding to the favorite entries and the popularity corresponding to the favorite entries can be determined according to the access frequency of the current user and/or other users to the favorite entries.

In another alternative embodiment of the present invention, the plurality of target favorites entries may be sorted in the following sorting manner:

the sorting mode 1 is that a plurality of target favorite entries are sorted according to the matching degree between the label information corresponding to the favorite entries and the search terms; and/or

The sorting mode 2 is to sort the target favorite entries according to the label weights of the label information corresponding to the favorite entries and matched with the search words; and/or

And 3, sequencing the target favorite entries according to the matching degree between the categories of the favorite entries and the categories of the search terms.

For the sorting mode 1, the matching degree between the tag information corresponding to the favorite entry and the search term may be determined through step 102. In practical applications, step 102 may perform character comparison and/or semantic similarity calculation and/or semantic correlation calculation on the tag information corresponding to the favorite entry and the search term (the participle vocabulary included in the search term), and obtain a matching degree between the character comparison result and/or the semantic similarity calculation result and/or the semantic correlation calculation result according to the character comparison result and/or the semantic similarity calculation result and/or the semantic correlation calculation result. As an example, if the tag information corresponding to the favorite entry is consistent with the characters of the participle vocabulary included in the search word, the matching degree between the tag information and the characters is 1; the semantic similarity between the label information corresponding to the favorite entry and the participle words included in the search word can be used as the matching degree between the label information and the participle words; the semantic relevance between the tag information corresponding to the favorite entry and the participle words included in the search word can be used as the matching degree between the tag information and the participle words. It can be understood that the embodiment of the present invention does not limit the specific process of obtaining the matching degree between the character comparison result and/or the semantic similarity calculation result and/or the semantic correlation calculation result according to the character comparison result and/or the semantic similarity calculation result.

In practical application, if the number of the tag information corresponding to the favorite entry and matched with the search word is greater than 1, the maximum matching degree can be selected from the matching degrees corresponding to the tag information matched with the search word, and the maximum matching degree can be applied to the sequencing of a plurality of target favorite entries; alternatively, the matching degrees corresponding to a plurality of tag information matched with the search term may be averaged, and the average calculation result may be applied to the ranking of the plurality of target favorites entries.

For the sorting mode 2, the plurality of target favorite entries may be sorted according to the tag weight of the tag information corresponding to the favorite entry and matching the search term. For example, when the search word of the user is "one-piece dress", it is possible to preferentially display a website where the tag information includes [ one-piece dress ] and the tag weight of [ one-piece dress ] is higher, and display a website where the tag information includes [ shopping ] and the tag weight of [ shopping ] is lower. For another example, when the search term of the user is "shopping", a shopping site (e.g., "guild" or the like) whose tag information includes [ shopping ] and whose tag weight information of [ shopping ] is higher may be preferentially displayed, and then a specific merchandise website may be displayed.

For the sorting mode 3, the plurality of target favorites entries may be sorted according to the matching degree between the category of the favorites entry and the category of the search term, and specifically, a favorites entry having a high matching degree between the category of the favorites entry and the category of the search term may be sorted in front of a favorites entry having a low matching degree between the category of the favorites entry and the category of the search term. For example, when the search term of the user is "shopping", the category of the favorite entry corresponding to the search term may include: the product category, the platform category, and the like, and although the tag information of the web address of the product category, such as "one-piece dress", "snow boot", and the like, may also include "shopping", since the matching degree between the product category and the category of the search word is smaller than the matching degree between the platform category and the category of the search word, the web address of the product category may be ranked behind the web address of the platform category.

To sum up, the processing method of favorites in the embodiment of the present invention implements searching of favorites entries by matching the search term with the tag information corresponding to the favorites entries in the favorites, so that searching of favorites entries can be supported by the tag information corresponding to the favorites entries, and in practical applications, the tag information corresponding to the favorites entries can be information that is relatively flexible and easy to memorize, and specifically, the tag information can be concise information extracted from the feature information corresponding to the favorites entries, or the tag information can be relatively familiar information set by a user, so the difficulty of memorizing the tag information corresponding to the favorites entries can be much smaller than the difficulty of memorizing the webpage titles or website character strings corresponding to the favorites entries, and therefore, the difficulty of searching of favorites entries can be reduced to a certain extent in the embodiment of the present invention, and the search efficiency, search success rate and search coverage rate of the favorites can be improved.

It should be noted that, for simplicity of description, the method embodiments are described as a series of motion combinations, but those skilled in the art should understand that the present invention is not limited by the described motion sequences, because some steps may be performed in other sequences or simultaneously according to the present invention. Further, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred and that no moving act is required as an embodiment of the invention.

Device embodiment

Referring to fig. 2, a block diagram illustrating a structure of an embodiment of a favorite processing apparatus of the present invention may specifically include:

a receiving module 201, configured to receive a search term input by a user;

a matching module 202, configured to match the search term with tag information corresponding to a favorite entry in a favorite, so as to obtain a target favorite entry matched with the search term; the tag information is extracted from feature information corresponding to the favorite entries, or the tag information is obtained according to user setting; the characteristic information includes at least one of the following information: self-naming of the website and/or naming of the user, folder information, description information of the favorite entries in the favorites by the third-party system and/or other users, and the website domain name; and

and the search result display module 203 is configured to display the target favorite entry as a search result corresponding to the search term.

Optionally, the apparatus may further include:

wherein the tag determination module may include:

Optionally, the tag information may include: at least one independent tag information, the matching module 202 may include:

Optionally, the matching of the search term and certain tag information corresponding to the current favorite entry is successful, including: the search word is the same as certain label information corresponding to the current favorite entry; or the semantics of the search word and certain label information corresponding to the current favorite entry are the same, similar or related.

Optionally, the search result presentation module 203 may include:

the sorting submodule is used for sorting the target collection folder entries;

Optionally, the sorting sub-module may include:

For the device embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, refer to the partial description of the method embodiment.

The embodiments in the present specification are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.

With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.

An embodiment of the present invention provides an apparatus for processing favorites, comprising a memory, and one or more programs, wherein the one or more programs are stored in the memory, and the one or more programs configured to be executed by the one or more processors include instructions for: receiving a search word input by a user; matching the search word with the label information corresponding to the favorite entries in the favorites to obtain a target favorite entry matched with the search word; the tag information is extracted from feature information corresponding to the favorite entries, or the tag information is obtained according to user setting; the characteristic information includes at least one of the following information: self-naming of the website and/or naming of the user, folder information, description information of the favorite entries in the favorites by the third-party system and/or other users, and the website domain name; and displaying the target favorite entries as search results corresponding to the search terms.

Optionally, the device is also configured to execute the one or more programs by the one or more processors including instructions for: extracting second information from self-naming and/or user naming of a website corresponding to a favorite entry in a favorite, wherein the second information is used as tag information corresponding to the favorite entry; and/or extracting third information from the folder information corresponding to the favorite entries in the favorites as the label information corresponding to the favorite entries; and/or according to the label information set by the user for the favorite entries in the favorite, taking the label information as the label information corresponding to the favorite entries; and/or extracting fourth information from description information of the favorite entries in the favorites by a third-party system and/or other users, wherein the fourth information is used as label information corresponding to the favorite entries; and/or obtaining label information corresponding to the favorite entries according to the website domain names corresponding to the favorite entries in the favorite.

Optionally, the tag information includes: at least one independent tag information, wherein the matching of the search term with the tag information corresponding to the favorite entry in the favorite includes: matching the search terms with single label information corresponding to a current favorite entry in the favorites; and if the search word is successfully matched with certain label information corresponding to the current favorite entry, taking the current favorite entry as a target favorite entry matched with the search word.

Optionally, the tag information includes: at least one independent tag information, wherein the matching of the search term with the tag information corresponding to the favorite entry in the favorite includes: performing word segmentation on the search word to obtain at least one word segmentation word corresponding to the search word; and matching the single participle vocabulary with single label information corresponding to the favorite entries in the favorites, and taking the favorite entries matched with the single participle vocabulary as target favorite entries matched with the search words.

Optionally, the presenting the target favorite entry as a search result corresponding to the search term includes: sorting the plurality of target collection folder entries; and displaying the sorted target favorite entries as search results corresponding to the search terms. Optionally, the sorting the plurality of target favorite entries includes: sequencing a plurality of target favorite entries according to the matching degree between the label information corresponding to the favorite entries and the search terms; and/or sorting the plurality of target favorite entries according to the label weight of the label information corresponding to the favorite entries and matched with the search terms; and/or sorting the plurality of target favorite entries according to the matching degree between the categories of the favorite entries and the categories of the search terms.

Fig. 3 is a block diagram illustrating a configuration of an apparatus for favorite processing as a terminal according to an exemplary embodiment. For example, the apparatus 900 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, an exercise device, a personal digital assistant, and the like.

Referring to fig. 3, apparatus 900 may include one or more of the following components: processing component 902, memory 904, power component 906, multimedia component 908, audio component 910, input/output (I/O) interface 912, sensor component 914, and communication component 916.

The processing component 902 generally controls overall operation of the device 900, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. Processing element 902 may include one or more processors 920 to execute instructions to perform all or a portion of the steps of the methods described above. Further, processing component 902 can include one or more modules that facilitate interaction between processing component 902 and other components. For example, the processing component 902 can include a multimedia module to facilitate interaction between the multimedia component 908 and the processing component 902.

The memory 904 is configured to store various types of data to support operation at the device 900. Examples of such data include instructions for any application or method operating on device 900, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 904 may be implemented by any type or combination of volatile or non-volatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.

The power supply component 906 provides power to the various components of the device 900. The power components 906 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the device 900.

The multimedia component 908 comprises a screen providing an output interface between the device 900 and a user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide motion action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 908 includes a front facing camera and/or a rear facing camera. The front-facing camera and/or the rear-facing camera may receive external multimedia data when the device 900 is in an operating mode, such as a shooting mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.

The audio component 910 is configured to output and/or input audio signals. For example, audio component 910 includes a Microphone (MIC) configured to receive external audio signals when apparatus 900 is in an operating mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may further be stored in the memory 904 or transmitted via the communication component 916. In some embodiments, audio component 910 also includes a speaker for outputting audio signals.

I/O interface 912 provides an interface between processing component 902 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.

The sensor component 914 includes one or more sensors for providing status assessment of various aspects of the apparatus 900. For example, the sensor assembly 914 may detect an open/closed state of the device 900, the relative positioning of the components, such as a display and keypad of the apparatus 900, the sensor assembly 914 may also detect a change in the position of the apparatus 900 or a component of the apparatus 900, the presence or absence of user contact with the apparatus 900, orientation or acceleration/deceleration of the apparatus 900, and a change in the temperature of the apparatus 900. The sensor assembly 914 may include a proximity sensor configured to detect the presence of a nearby object in the absence of any physical contact. The sensor assembly 914 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 914 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

The communication component 916 is configured to facilitate communications between the apparatus 900 and other devices in a wired or wireless manner. The apparatus 900 may access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 916 receives a broadcast signal or broadcast associated information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communications component 916 further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

In an exemplary embodiment, the apparatus 900 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components for performing the above-described methods.

In an exemplary embodiment, a non-transitory computer readable storage medium comprising instructions, such as the memory 904 comprising instructions, executable by the processor 920 of the apparatus 900 to perform the above-described method is also provided. For example, the non-transitory computer readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.

FIG. 4 is a block diagram illustrating an apparatus for processing favorites as a server, according to an exemplary embodiment. The server 1900 may vary widely by configuration or performance and may include one or more Central Processing Units (CPUs) 1922 (e.g., one or more processors) and memory 1932, one or more storage media 1930 (e.g., one or more mass storage devices) storing applications 1942 or data 1944. Memory 1932 and storage medium 1930 can be, among other things, transient or persistent storage. The program stored in the storage medium 1930 may include one or more modules (not shown), each of which may include a series of instructions operating on a server. Still further, a central processor 1922 may be provided in communication with the storage medium 1930 to execute a series of instruction operations in the storage medium 1930 on the server 1900.

The server 1900 may also include one or more power supplies 1926, one or more wired or wireless network interfaces 1950, one or more input-output interfaces 1958, one or more keyboards 1956, and/or one or more operating systems 1941, such as Windows Server, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM, etc.

A machine-readable medium (e.g., a non-transitory computer-readable storage medium) having instructions therein, which when executed by a processor of a device (smart terminal or server), enable the device to perform a method of favorites processing, the method comprising: receiving a search word input by a user; matching the search word with the label information corresponding to the favorite entries in the favorites to obtain a target favorite entry matched with the search word; the tag information is extracted from feature information corresponding to the favorite entries, or the tag information is obtained according to user setting; the characteristic information includes at least one of the following information: self-naming of the website and/or naming of the user, folder information, description information of the favorite entries in the favorites by the third-party system and/or other users, and the website domain name; and displaying the target favorite entries as search results corresponding to the search terms.

Other embodiments of the invention will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This invention is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the invention and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the invention being indicated by the following claims.

It will be understood that the invention is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the invention is only limited by the appended claims

The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.

The method for processing favorites, the device for processing favorites and the machine-readable medium provided by the present invention are described in detail above, and specific examples are applied herein to illustrate the principles and embodiments of the present invention, and the above description of the embodiments is only used to help understand the method and the core idea of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.

Claims

1. A processing method of favorites is characterized by comprising the following steps:

receiving a search word input by a user;

matching the search word with the label information corresponding to the favorite entries in the favorites to obtain a target favorite entry matched with the search word; the tag information is vocabulary information extracted from the characteristic information corresponding to the favorite entries; the characteristic information includes at least one of the following information: the third-party system describes information of favorite entries in the favorites and the website domain name; the description information of the third-party system for the favorite entry in the favorite may include: the introduction of the favorite items on the encyclopedia website or the classification information of the favorite items in the navigation website; the vocabulary information includes: information extracted from semantic information or translation information of the website domain name;

2. The method of claim 1, wherein the tag information comprises: at least one independent tag information, wherein the matching of the search term with the tag information corresponding to the favorite entry in the favorite includes:

3. The method of claim 2, wherein the successful matching of the search term with certain tag information corresponding to the current favorites entry comprises:

4. The method of claim 1, wherein the tag information comprises: at least one independent tag information, wherein the matching of the search term with the tag information corresponding to the favorite entry in the favorite includes:

5. The method of claim 1, wherein presenting the target favorites entry as a search result corresponding to the search term comprises:

sorting the plurality of target collection folder entries;

6. The method of claim 5, wherein the sorting the plurality of target favorites entries comprises:

7. A favorites processing device, comprising:

the receiving module is used for receiving search terms input by a user;

the matching module is used for matching the search terms with the label information corresponding to the favorite entries in the favorites to obtain target favorite entries matched with the search terms; the tag information is vocabulary information extracted from the characteristic information corresponding to the favorite entries; the characteristic information includes at least one of the following information: the third-party system describes information of favorite entries in the favorites and the website domain name; the description information of the third-party system for the favorite entry in the favorite may include: the introduction of the favorite items on the encyclopedia website or the classification information of the favorite items in the navigation website; the vocabulary information includes: information extracted from semantic information or translation information of the website domain name; and

8. The apparatus of claim 7, wherein the tag information comprises: at least one independent tag information, the matching module comprising:

9. The apparatus of claim 8, wherein the successful matching of the search term with certain tag information corresponding to the current favorites entry comprises:

10. The apparatus of claim 7, wherein the tag information comprises: at least one independent tag information, the matching module comprising:

11. The apparatus of claim 7, wherein the search result presentation module comprises:

the sorting submodule is used for sorting the target collection folder entries;

12. The apparatus of claim 11, wherein the ordering sub-module comprises:

13. An apparatus for processing of favorites, comprising a memory, and one or more programs, wherein the one or more programs are stored in the memory, and wherein execution of the one or more programs by one or more processors comprises instructions for:

receiving a search word input by a user;

14. The apparatus of claim 13, wherein the tag information comprises: at least one independent tag information, wherein the matching of the search term with the tag information corresponding to the favorite entry in the favorite includes:

15. The apparatus of claim 14, wherein the successful matching of the search term with certain tag information corresponding to the current favorites entry comprises:

16. The apparatus of claim 13, wherein the tag information comprises: at least one independent tag information, wherein the matching of the search term with the tag information corresponding to the favorite entry in the favorite includes:

17. The apparatus of claim 13, wherein the presenting the target favorites entry as the search result corresponding to the search term comprises:

sorting the plurality of target collection folder entries;

18. The apparatus of claim 17, wherein the sorting the plurality of target favorites entries comprises:

19. A machine-readable medium having stored thereon instructions which, when executed by one or more processors, cause an apparatus to perform a method of processing favorites according to one or more of claims 1 to 6.