CN111737208B - File searching method and device - Google Patents
File searching method and device Download PDFInfo
- Publication number
- CN111737208B CN111737208B CN202010572976.1A CN202010572976A CN111737208B CN 111737208 B CN111737208 B CN 111737208B CN 202010572976 A CN202010572976 A CN 202010572976A CN 111737208 B CN111737208 B CN 111737208B
- Authority
- CN
- China
- Prior art keywords
- file
- target
- user
- current
- files
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/16—File or folder operations, e.g. details of user interfaces specifically adapted to file systems
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/14—Details of searching files based on file metadata
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/14—Details of searching files based on file metadata
- G06F16/156—Query results presentation
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Library & Information Science (AREA)
- Human Computer Interaction (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The embodiment of the application discloses a file searching method and a file searching device, and particularly relates to a file recommending request triggered when a file recommending system detects that a user leaves a current file and opens a certain folder. And simultaneously, acquiring one or more target files to be recommended according to the file recommendation request. Specifically, the file recommendation system recommends the target file according to the keywords of the current file in the file recommendation request and/or the names of the folders opened by the user. When one or more target files to be recommended are determined, the target files are displayed on the user equipment, so that a user can find the files required by the user, the user searching time is shortened, and the working efficiency is improved. That is, the embodiment of the application can automatically recommend other files with larger correlation with the current file to the user, thereby saving the searching time of the user.
Description
Technical Field
The application relates to the technical field of data processing, in particular to a file searching method and device.
Background
With the increasing popularity of automated offices, many users will be working at user devices. In consideration of network security, a user needs to turn off the computer every day and turn on the computer to search for required files during the next day. When the number of files stored in the user equipment is large, the user can spend a long time searching the files, the searching efficiency is low, and the working efficiency is influenced.
Disclosure of Invention
In view of this, the embodiment of the application provides a file searching method and device, so as to more reasonably recommend the file to be searched for the user, and improve the searching efficiency.
In order to solve the above problems, the technical solution provided by the embodiment of the present application is as follows:
in a first aspect of the embodiment of the present application, a method for searching a file is provided, where the method is applied to a file recommendation system, and includes:
triggering a file recommendation request when a user leaves a current file and opens a folder, wherein the file recommendation request at least comprises keywords of the current file and/or names of the folder;
acquiring one or more target files to be recommended according to the file recommendation request;
one or more of the target files are displayed at the user device.
In one possible implementation manner, the obtaining one or more target files to be recommended according to the file recommendation request includes:
searching a file comprising the keywords;
and determining the file comprising the keywords as a target file to be recommended.
In one possible implementation manner, the obtaining one or more target files to be recommended according to the file recommendation request includes:
and determining the file in the name of the folder as a target file to be recommended.
In one possible implementation manner, the obtaining one or more target files to be recommended according to the file recommendation request includes:
determining the file in the folder as a file to be recommended;
and determining the file including the keywords in the file to be recommended as a target file to be recommended.
In a possible implementation manner, the file recommendation request further includes a current working time, and the acquiring one or more target files to be recommended according to the file recommendation request includes:
determining a previous target working time according to the current working time;
and determining the file in the target folder corresponding to the target working time as a target file to be recommended, wherein the target folder is the folder in which the user is opened in the target working time.
In one possible implementation manner, the determining the file in the target folder corresponding to the target working time as the target file to be recommended includes:
and determining a first file in a target folder corresponding to the target working time as a target file to be recommended, wherein the first file is a file which is opened by the user at the target working time.
In one possible implementation manner, when the keyword of the current file is the name of the current file, the acquiring, according to the file recommendation request, one or more target files to be recommended includes:
and determining one or more target files to be recommended according to the name of the current file and a pre-established mapping relation, wherein the mapping relation comprises a corresponding relation between files, and the mapping relation is used for indicating the relation between the file clicked by the user and the current file in the history recommendation process.
In one possible implementation, the method further includes:
and responding to clicking operation of the user on the target file, and storing the corresponding relation between the target file and the current file.
In one possible implementation manner, before the file recommendation system obtains one or more target files to be recommended according to the file recommendation request, the method further includes:
and acquiring the stored folders and files in the folders from the user equipment.
In one possible implementation manner, the file recommendation system includes a file recommendation model, and the acquiring one or more target files to be recommended according to the file recommendation request includes:
and determining one or more target files to be recommended by utilizing the file recommendation model and the file recommendation request, wherein the file recommendation model is generated according to historical behavior data training of the user.
In a second aspect of the embodiment of the present application, a file searching apparatus is provided, where the apparatus is configured to be used with the file recommendation system, and the apparatus includes:
the file recommendation system comprises a triggering unit, a file recommendation unit and a file recommendation unit, wherein the triggering unit is used for triggering a file recommendation request when a user leaves a current file and opens a folder, and the file recommendation request at least comprises keywords of the current file and/or names of the folder;
the acquisition unit is used for acquiring one or more target files to be recommended according to the file recommendation request;
and the display unit is used for displaying one or more target files on the user equipment.
From this, the embodiment of the application has the following beneficial effects:
according to the embodiment of the application, when the file recommendation system detects that a user leaves a current file and opens a certain folder, a file recommendation request is triggered. And simultaneously, acquiring one or more target files to be recommended according to the file recommendation request. Specifically, the file recommendation system recommends the target file according to the keywords of the current file in the file recommendation request and/or the names of the folders opened by the user. When one or more target files to be recommended are determined, the target files are displayed on the user equipment, so that a user can find the files required by the user, the user searching time is shortened, and the working efficiency is improved. That is, the embodiment of the application can automatically recommend other files with larger correlation with the current file to the user, thereby saving the searching time of the user.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, and it is obvious that the drawings in the following description are some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flowchart of a method for searching a file according to an embodiment of the present application;
fig. 2 is a block diagram of a file searching apparatus according to an embodiment of the present application.
Detailed Description
In order that the above-recited objects, features and advantages of the present application will become more readily apparent, a more particular description of embodiments of the application will be rendered by reference to the appended drawings and appended drawings.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application, but the present application may be practiced in other ways other than those described herein, and persons skilled in the art will readily appreciate that the present application is not limited to the specific embodiments disclosed below.
The inventor finds that a user needs to search a required file manually in the research of the traditional file searching method, and when the number of stored files is large and the folder in which the file is located is forgotten, the user can spend a long time searching, so that the searching efficiency is low.
Based on the above, the embodiment of the application provides a file searching method, specifically, the file searching method helps the client to recommend the file which the client wants to search according to the behavior data of the client and the searched folder, and saves the searching time of the user.
In order to facilitate understanding of the method provided by the embodiments of the present application, the following description will be made with reference to the accompanying drawings.
Method embodiment
Referring to fig. 1, the flowchart of a file searching method provided by an embodiment of the present application, where the method is applied to a file recommendation system, and includes:
s101: a file recommendation request is triggered in response to a user leaving a current file and opening a folder.
In this embodiment, the file recommendation system may detect the behavior of the user in real time, and when detecting that the user leaves the current file and opens a certain folder, it indicates that the user wants to find other files, generate a file recommendation request, and automatically trigger a file recommendation operation.
The file recommendation request may include a keyword of the current file and/or a name of a folder opened by the user, so that the file recommendation system may perform the following file recommendation operation according to the keyword of the current file and/or the name of the folder opened by the user. Specifically, the keyword of the current file may be a name of the current file or a part of a word or a word in the name, or may be a name of a folder in which the current file is located or a part of a word or a word in the name.
In this embodiment, the file recommendation system will acquire the respective folders currently stored and the files in each folder from the user device used by the user before performing S102 operation according to the file recommendation request.
S102: and acquiring one or more target files to be recommended according to the file recommendation request.
In this embodiment, after the file recommendation request is obtained, one or more target files to be recommended may be determined according to the content included in the file recommendation request.
In some implementations, when a file recommendation request includes a keyword for a current file, the file recommendation system first looks up the file that includes the keyword; and determining the file comprising the keyword as the target file to be recommended. That is, the file with the same keyword as the current file is searched through the keyword, and the file is used as the target file to be recommended.
Further, when the keyword of the current file is the name of the current file, determining one or more target files to be recommended according to the name of the current file and a pre-established mapping relation. The mapping key comprises a corresponding relation between files, and the mapping relation is used for indicating the relation between the file clicked by the user and the current file in the history recommending process. That is, the file recommendation system records the correspondence between the file clicked by the user and the work file (current file) opened at that time in the history recommendation process. And when the user opens the working file again and searches other files, positioning the target file according to the corresponding relation. For example, on day T, the user opens work file a, and when the user looks up the file, the file recommendation system recommends file b for the user, which the user opens. The file recommendation system records the correspondence between files a-b. When the user opens the file a again on the t+n day, the file recommendation system determines the file b as the target file to be recommended according to the correspondence when the user searches the file.
In some implementations, when the file recommendation request includes a name of a folder, the file located in the name of the folder is determined to be the target file to be recommended. That is, when the user leaves the current file to open a certain folder, the folder is used as a search range, and the files in the folder are used as target files to be recommended.
In some implementations, when the file recommendation request includes both a keyword of a current file and a name of the folder, determining a file located in the folder as a file to be recommended; and determining the file including the keywords in the file to be recommended as the target file to be recommended. That is, the search range is narrowed down by the keywords of the current file and the currently opened folder to determine the target file to be recommended in the narrowed down range.
In some implementations, when the current working time is also included in the file recommendation request, the file recommendation system may determine a previous target working time according to the current working time; and determining the files in the target folder corresponding to the target working time as target files to be recommended. The target file is a folder which is opened by a user at the target working time. Specifically, the file recommendation system may determine a previous target working time according to the current working time and a preset time interval, take a folder opened by a user at the target working time as a target folder, and determine a file in the target folder as a file to be recommended. For example, the current working time is 9:00 am, and the file recommendation system determines the last hour before the user was off duty the previous day as the target working time. And taking the folder which is opened in the target working time as a target folder, and taking the files in the target folder as target files to be recommended.
Further, to improve the recommended file to better meet the user requirement, the first file in the target folder may be determined as the target file to be recommended. The first file is a file which is opened by a user at the target working time. Namely, the file which is opened by the user in the target working time is taken as the target file to be recommended at the time.
It should be noted that, in practical application, the file recommendation system may include a file recommendation model, where the file recommendation model is generated according to the historical behavior data training of the user. Specifically, after acquiring each folder stored in the user equipment and the files in each folder, the file recommendation system can track information training such as the corresponding relation among the files opened by the user during work to generate a file recommendation model. When the file recommendation system recommends files, the file recommendation model is utilized to conduct files.
In addition, when the file recommendation system utilizes the file recommendation model to conduct file recommendation, new user behavior data can be obtained in real time, so that learning optimization recommendation results can be continuously conducted.
S103: one or more target files are displayed at the user device.
After the file recommendation system determines one or more target files to be recommended in the mode, the target files are displayed on the user equipment, so that a user can determine required files according to display results.
In some implementations, to further improve accuracy of file recommendation, when a user performs a click operation on one or more displayed target files, a correspondence between a current file and a target file is stored, so that the correspondence is applied in a subsequent recommendation.
According to the method, when the file recommendation system detects that a user leaves a current file and opens a certain folder, a file recommendation request is triggered. And simultaneously, acquiring one or more target files to be recommended according to the file recommendation request. Specifically, the file recommendation system recommends the target file according to the keywords of the current file in the file recommendation request and/or the names of the folders opened by the user. When one or more target files to be recommended are determined, the target files are displayed on the user equipment, so that a user can find the files required by the user, the user searching time is shortened, and the working efficiency is improved. That is, the embodiment of the application can automatically recommend other files with larger correlation with the current file to the user, thereby saving the searching time of the user.
Device embodiment
Based on the above method embodiment, an embodiment of the present application provides a file recommendation device, as shown in fig. 2, where the device sets up a file recommendation system, and includes:
a triggering unit 201, configured to trigger a file recommendation request in response to a user leaving a current file and opening a folder, where the file recommendation request includes at least a keyword of the current file and/or a name of the folder;
an obtaining unit 202, configured to obtain one or more target files to be recommended according to the file recommendation request;
a display unit 203, configured to display one or more of the target files on a user device.
In a possible implementation manner, the obtaining unit is specifically configured to find a file including the keyword; and determining the file comprising the keywords as a target file to be recommended.
In one possible implementation manner, the obtaining unit is specifically configured to determine a file located in a name of the folder as a target file to be recommended.
In one possible implementation manner, the acquiring unit is specifically configured to determine a file located in the folder as a file to be recommended; and determining the file including the keywords in the file to be recommended as a target file to be recommended.
In a possible implementation manner, the file recommendation request further includes a current working time, and the obtaining unit is specifically configured to determine a previous target working time according to the current working time; and determining the file in the target folder corresponding to the target working time as a target file to be recommended, wherein the target folder is the folder in which the user is opened in the target working time.
In one possible implementation manner, the obtaining unit is specifically configured to determine, as a target file to be recommended, a first file in a target folder corresponding to the target working time, where the first file is a file that is opened by the user at the target working time.
In one possible implementation manner, when the keyword of the current file is the name of the current file, the obtaining unit is specifically configured to determine one or more target files to be recommended according to the name of the current file and a mapping relationship established in advance, where the mapping relationship includes a correspondence relationship between files, and the mapping relationship is used to indicate a relationship between a file clicked by the user and the current file in a history recommendation process.
In one possible implementation, the apparatus further includes:
and the storage unit is used for responding to the clicking operation of the user on the target file and storing the corresponding relation between the target file and the current file.
In a possible implementation manner, the obtaining unit is further configured to obtain, from the user device, each stored folder and a file in the folder before obtaining the one or more target files to be recommended.
In a possible implementation manner, the file recommendation system includes a file recommendation model, and the obtaining unit is specifically configured to determine one or more target files to be recommended by using the file recommendation model and the file recommendation request, where the file recommendation model is generated according to historical behavior data training of the user.
It should be noted that, in this embodiment, specific implementation of each unit may refer to the above method embodiment, and this embodiment is not described herein again.
In addition, an embodiment of the present application provides an apparatus, including: a processor and a memory;
the memory is used for storing instructions;
the processor is configured to execute the instruction in the memory, and execute the file searching method described above.
Embodiments of the present application provide a computer readable storage medium storing program code or instructions that, when executed on a computer, cause the computer to perform the file finding method described above.
From the above description, it can be seen that the file recommendation system triggers a file recommendation request when it detects that the user leaves the current file and opens a certain folder. And simultaneously, acquiring one or more target files to be recommended according to the file recommendation request. Specifically, the file recommendation system recommends the target file according to the keywords of the current file in the file recommendation request and/or the names of the folders opened by the user. When one or more target files to be recommended are determined, the target files are displayed on the user equipment, so that a user can find the files required by the user, the user searching time is shortened, and the working efficiency is improved. That is, the embodiment of the application can automatically recommend other files with larger correlation with the current file to the user, thereby saving the searching time of the user.
It should be noted that, in the present description, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different manner from other embodiments, and identical and similar parts between the embodiments are all enough to refer to each other. For the system or device disclosed in the embodiments, since it corresponds to the method disclosed in the embodiments, the description is relatively simple, and the relevant points refer to the description of the method section.
It should be understood that in the present application, "at least one (item)" means one or more, and "a plurality" means two or more. "and/or" for describing the association relationship of the association object, the representation may have three relationships, for example, "a and/or B" may represent: only a, only B and both a and B are present, wherein a, B may be singular or plural. The character "/" generally indicates that the context-dependent object is an "or" relationship. "at least one of" or the like means any combination of these items, including any combination of single item(s) or plural items(s). For example, at least one (one) of a, b or c may represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", wherein a, b, c may be single or plural.
It is further noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. The software modules may be disposed in Random Access Memory (RAM), memory, read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (3)
1. A method for searching a file, the method being applied to a file recommendation system and comprising:
triggering a file recommendation request when a user leaves a current file and opens a folder, wherein the file recommendation request at least comprises keywords of the current file and/or names of the folder;
acquiring one or more target files to be recommended according to the file recommendation request;
displaying one or more of the target files at the user device;
when the file recommendation request includes a keyword of a current file, the acquiring one or more target files to be recommended according to the file recommendation request specifically includes:
the file recommendation system firstly searches the file comprising the keyword, and determines the file comprising the keyword as a target file to be recommended;
when the key word of the current file is the name of the current file, determining one or more target files to be recommended according to the name of the current file and a pre-established mapping relation; the mapping key comprises a corresponding relation between files, and the mapping relation is used for indicating the relation between the file clicked by the user and the current file in the history recommending process;
when the file recommendation request further includes the current working time, the acquiring one or more target files to be recommended according to the file recommendation request specifically includes:
determining a previous target working time according to the current working time;
and determining the file in the target folder corresponding to the target working time as a target file to be recommended, wherein the target folder is the folder in which the user is opened in the target working time.
2. The method of claim 1, wherein prior to the file recommendation system obtaining one or more target files to be recommended according to the file recommendation request, the method further comprises:
and acquiring the stored folders and files in the folders from the user equipment.
3. A file searching apparatus, wherein the apparatus is disposed in a file recommendation system, and comprises:
the file recommendation system comprises a triggering unit, a file recommendation unit and a file recommendation unit, wherein the triggering unit is used for triggering a file recommendation request when a user leaves a current file and opens a folder, and the file recommendation request at least comprises keywords of the current file and/or names of the folder;
the acquisition unit is used for acquiring one or more target files to be recommended according to the file recommendation request;
a display unit, configured to display one or more target files on a user device;
when the file recommendation request includes a keyword of the current file, the obtaining unit is specifically configured to:
the file recommendation system firstly searches the file comprising the keyword, and determines the file comprising the keyword as a target file to be recommended;
when the key word of the current file is the name of the current file, determining one or more target files to be recommended according to the name of the current file and a pre-established mapping relation; the mapping key comprises a corresponding relation between files, and the mapping relation is used for indicating the relation between the file clicked by the user and the current file in the history recommending process;
when the file recommendation request further includes a current working time, the obtaining unit is specifically configured to:
determining a previous target working time according to the current working time;
and determining the file in the target folder corresponding to the target working time as a target file to be recommended, wherein the target folder is the folder in which the user is opened in the target working time.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010572976.1A CN111737208B (en) | 2020-06-22 | 2020-06-22 | File searching method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010572976.1A CN111737208B (en) | 2020-06-22 | 2020-06-22 | File searching method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111737208A CN111737208A (en) | 2020-10-02 |
| CN111737208B true CN111737208B (en) | 2023-09-19 |
Family
ID=72650335
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010572976.1A Active CN111737208B (en) | 2020-06-22 | 2020-06-22 | File searching method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111737208B (en) |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105488198A (en) * | 2015-11-27 | 2016-04-13 | 魅族科技（中国）有限公司 | Recommendation method of application program and terminal |
| CN107704149A (en) * | 2017-09-22 | 2018-02-16 | 维沃移动通信有限公司 | The startup method and mobile terminal of a kind of application |
| CN109240991A (en) * | 2018-09-26 | 2019-01-18 | Oppo广东移动通信有限公司 | File recommendation method, device, storage medium and intelligent terminal |
-
2020
- 2020-06-22 CN CN202010572976.1A patent/CN111737208B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105488198A (en) * | 2015-11-27 | 2016-04-13 | 魅族科技（中国）有限公司 | Recommendation method of application program and terminal |
| CN107704149A (en) * | 2017-09-22 | 2018-02-16 | 维沃移动通信有限公司 | The startup method and mobile terminal of a kind of application |
| CN109240991A (en) * | 2018-09-26 | 2019-01-18 | Oppo广东移动通信有限公司 | File recommendation method, device, storage medium and intelligent terminal |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111737208A (en) | 2020-10-02 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| WO2020006835A1 (en) | Customer service method, apparatus, and device for engaging in multiple rounds of question and answer, and storage medium | |
| CN109086394B (en) | Search ranking method and device, computer equipment and storage medium | |
| US8126888B2 (en) | Methods for enhancing digital search results based on task-oriented user activity | |
| US8706748B2 (en) | Methods for enhancing digital search query techniques based on task-oriented user activity | |
| WO2019015262A1 (en) | Information search method, apparatus and system | |
| EP1907952A1 (en) | Determination of a desired repository | |
| CA2624186A1 (en) | Generation of topical subjects from alert search terms | |
| CN102959542A (en) | Method and apparatus for managing video content | |
| Rader et al. | Influences on tag choices in del. icio. us | |
| CN104899236B (en) | A kind of comment information display methods, apparatus and system | |
| US20110184940A1 (en) | System and method for detecting changes in the relevance of past search results | |
| CN111259173A (en) | Search information recommendation method and device | |
| US20080147631A1 (en) | Method and system for collecting and retrieving information from web sites | |
| CN113342976A (en) | Method, device, storage medium and equipment for automatically acquiring and processing data | |
| CN111400586A (en) | Group display method, terminal, server, system and storage medium | |
| CN112487283A (en) | Method and device for training model, electronic equipment and readable storage medium | |
| US20100145944A1 (en) | Mining broad hidden query aspects from user search sessions | |
| CN111259274B (en) | Information processing method, device, equipment and information display device | |
| CN110008396B (en) | Object information pushing method, device, equipment and computer readable storage medium | |
| CN111177568A (en) | Object pushing method based on multi-source data, electronic device and storage medium | |
| CN111737208B (en) | File searching method and device | |
| CN111723273A (en) | Smart cloud retrieval system and method | |
| CN110245208B (en) | Retrieval analysis method, device and medium based on big data storage | |
| CN111752898B (en) | File processing method and device | |
| US20160350419A1 (en) | Method and device for performing reverse search using crucial link |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |