WO2017071190A1 - 输入数据的处理方法、装置、设备及非易失性计算机存储介质 - Google Patents
输入数据的处理方法、装置、设备及非易失性计算机存储介质 Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/02—Input arrangements using manually operated switches, e.g. using keyboards or dials
- G06F3/023—Arrangements for converting discrete items of information into a coded form, e.g. arrangements for interpreting keyboard generated codes as alphanumeric codes, operand codes or instruction codes
- G06F3/0233—Character input methods
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/30—Semantic analysis
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/02—Input arrangements using manually operated switches, e.g. using keyboards or dials
- G06F3/023—Arrangements for converting discrete items of information into a coded form, e.g. arrangements for interpreting keyboard generated codes as alphanumeric codes, operand codes or instruction codes
- G06F3/0233—Character input methods
- G06F3/0237—Character input methods using prediction or retrieval techniques
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
- G06F40/205—Parsing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
- G06F40/274—Converting codes to words; Guess-ahead of partial word inputs
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/55—Push-based network services
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/10—Text processing
- G06F40/12—Use of codes for handling textual entities
- G06F40/126—Character encoding
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/52—Network services specially adapted for the location of the user terminal
Definitions
- the present disclosure relates to input method technologies, and in particular, to a method, an apparatus, a device, and a non-volatile computer storage medium for processing input data.
- the input method refers to the encoding method used to input various characters into the terminal.
- the client of the input method software can provide a candidate matching the sequence of characters according to the sequence of characters input by the user, so that the user can select the upper screen.
- the order in which the candidates are provided by the client is related to the number of times the candidate is on the screen.
- aspects of the present disclosure provide a method, apparatus, device, and non-processing method for input data Volatile computer storage media to increase the flexibility of processing input data.
- An aspect of the present disclosure provides a method for processing input data, including:
- the push information is provided to the user.
- the acquiring at least one input data of the user includes:
- obtaining the semantic data according to the at least one input data comprises:
- the semantic data is obtained according to the word bag of each of the input data.
- a word bag of each of the input data is obtained according to each of the input data, or the each input data and the preset extension data.
- the input data comprising at least one of the following data:
- the location data of the user includes at least one of the following data:
- a processing apparatus for inputting data includes:
- An obtaining unit configured to acquire at least one input data of the user
- a parsing unit configured to obtain semantic data according to the at least one input data
- a matching unit configured to obtain push information according to the semantic data
- a pushing unit configured to provide the push information to the user.
- any possible implementation manner further provide an implementation manner, where the acquiring unit is specifically configured to
- parsing unit is specifically configured to
- the semantic data is obtained according to the word bag of each of the input data.
- parsing unit is specifically configured to
- a word bag of each of the input data is obtained according to each of the input data, or the each input data and the preset extension data.
- the input data comprising at least one of the following data:
- the location data of the user includes at least one of the following data:
- an apparatus comprising:
- One or more processors are One or more processors;
- One or more programs the one or more programs being stored in the memory, When executed by the one or more processors:
- the push information is provided to the user.
- a non-volatile computer storage medium storing one or more programs when the one or more programs are executed by one device causes The device:
- the push information is provided to the user.
- the embodiment of the present disclosure obtains semantic data according to the at least one input data by acquiring at least one input data of the user, so that the push information can be obtained according to the semantic data, and the push information is provided.
- the user input data is not directly considered when acquiring the push information, but the semantic data obtained according to the user's input data is considered, so that the push information provided to the user can be more in line with the user's intention. This increases the flexibility of the processing of the input data.
- the obtained according to the input data of the user is considered.
- the semantic data makes the push information provided to the user more in line with the user's intention. Therefore, the push information can be made more likely to cause additional attention of the user, and the scalability of the processing of the input data can be effectively improved.
- the semantic data obtained according to the input data of the user is considered, so that the push provided to the user is made.
- the information can be more consistent with the user's intention, and is directly selected by the user, which can effectively improve the efficiency of the processing of the input data.
- the semantic data obtained according to the input data of the user is considered, so that the push provided to the user is made.
- the information can be more in line with the user's intention without the user having to input additional input data to obtain other push information, which can effectively improve the reliability of the processing of the input data.
- FIG. 1 is a schematic flowchart of a method for processing input data according to an embodiment of the present disclosure
- FIG. 2 is a schematic structural diagram of an apparatus for processing input data according to another embodiment of the present disclosure.
- the terminals involved in the embodiments of the present disclosure may include, but are not limited to, a mobile phone, a personal digital assistant (PDA), a wireless handheld device, a tablet computer, and a personal computer (Personal Computer, PC). ), MP3 player, MP4 player, wearable device (for example, smart glasses, smart watches, smart bracelets, etc.).
- PDA personal digital assistant
- PC Personal Computer
- MP3 player for example, smart glasses, smart watches, smart bracelets, etc.
- wearable device for example, smart glasses, smart watches, smart bracelets, etc.
- FIG. 1 is a schematic flowchart of a method for processing input data according to an embodiment of the present disclosure, as shown in FIG. 1 .
- execution entities of 101 to 104 may be applications located in a local terminal, for example, an input method application, or the like, or may be a plug-in or a software development kit installed in an application located in the local terminal (
- the functional unit, such as the software development kit (SDK) may also be a processing engine located in the network side server, or may be a distributed system located on the network side, which is not specifically limited in this embodiment.
- the input method refers to the encoding method used to input various characters into the terminal.
- the input method application can display a plurality of candidates corresponding to the character sequence to the user according to the sequence of characters input by the user, so that the user can select a candidate to complete the input operation, for example, the upper screen operation.
- the application may be a local application (nativeApp) installed on the terminal, or may be a web application (webApp) of the browser on the terminal, which is not specifically limited in this embodiment.
- the push information can be obtained according to the semantic data, and the push information is provided to the user, because the push information is acquired.
- the semantic data obtained according to the user's input data is considered, so that the push information provided to the user can be more in line with the user's intention, thereby improving the processing of the input data. flexibility.
- the acquired input data may include, but is not limited to, at least one of the following data:
- the so-called user input sequence refers to the sequence in which the user applies the publication (ie, the upper screen) using the input method. It can be understood that the so-called one input sequence may be a single input sequence of one input, or may be a combined data sequence of multiple consecutive inputs, which is not particularly limited in this embodiment.
- the character sequence input by the user may be correspondingly processed according to the input intention of the user to obtain an input sequence.
- the sequence of characters of the user may include, but is not limited to, text, which is not specifically limited in this embodiment.
- the user may input a sequence of characters corresponding to different languages in the input box provided by the application, and the text may be a pinyin sequence, or may be a Roman sequence, or may be a sequence of glyphs, etc., which is not performed in this embodiment. Specially limited.
- the input intention is to input characters of various languages such as Chinese characters, then, specifically, the sequence of characters such as the collected pinyin sequence, Roman sequence or glyph sequence may be encoded to obtain corresponding numbers.
- the selection instruction input by the user one candidate is selected from a plurality of candidates to perform the upper screen operation as all or part of the input sequence.
- the character sequence may be directly processed correspondingly to obtain a processing result.
- the pair of characters The sequence is encoded to obtain a corresponding plurality of candidates, and then a candidate is selected from a plurality of candidates according to a selection instruction input by the user to perform an upper screen operation as all or a part of the input sequence.
- the character sequence may be sent to the cloud server, and the character sequence is processed by the cloud server, and the processing result is returned.
- the cloud server encodes the character sequence to obtain a corresponding plurality of candidates, and then selects one candidate from among the plurality of candidates according to the selection instruction input by the user, as all or part of the input sequence, and The input sequence returns and the upper screen operation is performed.
- This embodiment is not particularly limited to the above two cases.
- the so-called location data of the user refers to data capable of identifying the location where the user is located, for example, geographical location data such as longitude and latitude, or text location data such as a POI name, etc., etc. limited.
- the location data of the user may include, but is not limited to, at least one of the following data:
- location data than the location data corresponding to the user's input sequence, for example, location data at any time.
- the user when the user uses the input method to apply an output sequence (ie, on the screen), the user can invoke the interface provided by the terminal to obtain the geographic location data of the location where the terminal is located. Then, the acquired geographic location data is followed by the input sequence published by the user. Send in a pre-defined format. After receiving the input sequence and the position data corresponding to the input sequence, that is, the input data, the input data is stored in the database.
- the filtering process may include, but is not limited to, at least one of conventional noise cleaning, part of speech classification, and word sequence conversion.
- each input sequence of the user is processed by the above process. After each input sequence of the user and the position data corresponding to the input sequence, that is, input data, it is determined whether the user has accumulated enough input data in a unit time to satisfy a preset restriction condition, for example, reaching a certain limit. The number of screens, the number of whole sentences, or any combination of the above, and so on. If the constraint is met, then all of the input data stored by the user in the database can be called up as at least one input data of the user acquired in 101.
- At least one input data of the user that is consecutive in time may be acquired.
- these input data can be continuous in time.
- a sentence that the user inputs continuously without interruption can be used as the input data of the user. In this way, it is possible to ensure the consistency and consistency of the input data input by the user in expressing semantics.
- the word bag of each input data may be obtained according to each input data of the at least one input data, and then, The semantic data is obtained according to the word bag of each of the input data.
- the so-called semantic data refers to some data used to express the intention of the user's behavior.
- each word in the text is independent, independent of whether other words appear, or when the author of this article chooses a vocabulary at any position and is independent of the previous sentence.
- the word bag of each input data is independent of each other. Therefore, in the process of obtaining semantic data, the weights corresponding to the word bags of each input data are different from each other.
- the text corresponding to each input data for example, the text corresponding to the input sequence, or, for example, the text corresponding to the location data, and the like, may be subjected to word segmentation processing to obtain a word segmentation result.
- the word segmentation result is then composed into the word bag of the input data.
- each word obtained after the word segmentation process is filtered, including but not limited to the following filtering process: filtering the preset The words contained in the stop word list; wherein the general vocabulary is a function word, augmentation, pronoun, article, adverb, modal particle, etc., which are pre-existing based on word frequency, and these words usually do not have independent ideographic ability.
- the words that have reached the preset high frequency condition in the existing resources may be collected.
- the auxiliary word "has" has a high frequency of occurrence, but it usually has a low ideographic ability, and therefore, Collected into the stop word list.
- the word bag of each input data may be obtained according to each input data.
- the word bag of each input data may be obtained according to each of the input data and the preset extended data.
- the so-called extended data can be an extended pair of input data - extended text, for example, geographic location data - expansion of hot words equal.
- the semantic analysis model may be specifically established for the user from multiple dimensions, and the semantic analysis model that is established each time is stored in a structure, and is obtained according to the word bag of each input data. Semantic data, in this way, can predict the behavior of users in larger time and space dimensions.
- the push information is obtained according to the semantic data, and the push information is provided to the user, because
- the push information is obtained, the input data of the user is not directly considered, but the semantic data obtained according to the input data of the user is considered, so that the push information provided to the user can be more in line with the intention of the user, thereby improving the input data.
- the flexibility of processing is not only considered, but the semantic data obtained according to the input data of the user is considered, so that the push information provided to the user can be more in line with the intention of the user, thereby improving the input data.
- the semantic data obtained according to the input data of the user is considered, so that the push provided to the user is made.
- the information can be more in line with the user's intention, and therefore, the push information can be made more likely to cause additional attention of the user, and the scalability of the processing of the input data can be effectively improved.
- the semantic data obtained according to the input data of the user is considered, so that the push provided to the user is made.
- the information can be more consistent with the user's intention, and is directly selected by the user, which can effectively improve the efficiency of the processing of the input data.
- the semantic data obtained according to the input data of the user is considered, so that the push provided to the user is made.
- Information can be more in line with the user's intentions The figure can be used to effectively improve the reliability of the processing of the input data without requiring the user to input additional input data to obtain other push information.
- the processing device for input data of the present embodiment may include an acquisition unit 21, a parsing unit 22, a matching unit 23, and a push unit 24.
- the obtaining unit 21 is configured to obtain at least one input data of the user;
- the parsing unit 22 is configured to obtain semantic data according to the at least one input data, and
- the matching unit 23 is configured to obtain the push information according to the semantic data;
- the pushing unit 24 is configured to provide the push information to the user.
- part or all of the processing device for input data provided in this embodiment may be an application located in a local terminal, for example, an input method application, or the like, or may be a plug-in disposed in an application located in the local terminal or Functional units such as the Software Development Kit (SDK), or may be located on the network side server
- SDK Software Development Kit
- the processing engine in the process may be a distributed system located on the network side, which is not specifically limited in this embodiment.
- the input method refers to the encoding method used to input various characters into the terminal.
- the input method application can display a number of candidates corresponding to the input sequence to the user according to the sequence of characters input by the user, so that the user can select a candidate to complete the input operation, for example, the upper screen operation.
- the application may be a local application (nativeApp) installed on the terminal, or may be a web application (webApp) of the browser on the terminal, which is not specifically limited in this embodiment.
- the acquiring unit 21 may be specifically configured to acquire at least one input data of the user that is consecutive in time.
- the parsing unit 22 may be configured to obtain a word bag of each input data according to each input data in the at least one input data. And obtaining the semantic data according to the word bag of each of the input data.
- the parsing unit 22 may be specifically configured to obtain a word bag of each input data according to each of the input data, or the each input data and the preset extended data.
- the input data acquired by the acquiring unit 21 may include, but is not limited to, at least one of the following data:
- the location data of the user may include, but is not limited to, at least one of the following data:
- At least one input data of the user is acquired by the obtaining unit, and then the parsing unit obtains the semantic data according to the at least one input data, so that the matching unit can obtain the push information according to the semantic data, and is pushed by the pushing unit.
- the parsing unit obtains the semantic data according to the at least one input data, so that the matching unit can obtain the push information according to the semantic data, and is pushed by the pushing unit.
- the semantic data obtained according to the input data of the user is considered, so that the push provided to the user is made.
- the information can be more in line with the user's intention, and therefore, the push information can be made more likely to cause additional attention of the user, and the scalability of the processing of the input data can be effectively improved.
- the semantic data obtained according to the input data of the user is considered, so that the push provided to the user is made.
- Information can be more in line with the user's intentions
- the figure, which is directly selected by the user can effectively improve the efficiency of the processing of the input data.
- the semantic data obtained according to the input data of the user is considered, so that the push provided to the user is made.
- the information can be more in line with the user's intention without the user having to input additional input data to obtain other push information, which can effectively improve the reliability of the processing of the input data.
- the disclosed system, apparatus, and method may be implemented in other manners.
- the device embodiments described above are merely illustrative.
- the division of the unit is only a logical function division.
- multiple units or components may be combined. Or it can be integrated into another system, or some features can be ignored or not executed.
- the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, and may be in an electrical, mechanical or other form.
- the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Can choose according to actual needs Some or all of the units are used to achieve the objectives of the solution of the embodiment.
- each functional unit in various embodiments of the present disclosure may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.
- the above integrated unit can be implemented in the form of hardware or in the form of hardware plus software functional units.
- the above-described integrated unit implemented in the form of a software functional unit can be stored in a computer readable storage medium.
- the above software functional unit is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor to perform the methods of the various embodiments of the present disclosure. Part of the steps.
- the foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, and the like, which can store program codes. .
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Abstract
Description
Claims (14)
- 一种输入数据的处理方法,其特征在于,包括:获取用户的至少一个输入数据;根据所述至少一个输入数据,获得语意数据;根据所述语意数据,获得推送信息;向所述用户提供所述推送信息。
- 根据权利要求1所述的方法,其特征在于,所述获取用户的至少一个输入数据,包括:获取所述用户的在时间上连续的至少一个输入数据。
- 根据权利要求1或2所述的方法,其特征在于,所述根据所述至少一个输入数据,获得语意数据,包括:根据所述至少一个输入数据中每个输入数据,获得所述每个输入数据的词袋;根据所述每个输入数据的词袋,获得所述语意数据。
- 根据权利要求3所述的方法,其特征在于,所述根据所述至少一个输入数据中每个输入数据,获得所述每个输入数据的词袋,包括:根据所述每个输入数据,或者所述每个输入数据和预先设置的扩展数据,获得所述每个输入数据的词袋。
- 根据权利要求1~4任一权利要求所述的方法,其特征在于,所述输入数据包括下列数据中的至少一项:用户的输入序列;以及用户的位置数据。
- 根据权利要求5所述的方法,其特征在于,所述用户的位置数据 包括下列数据中的至少一项:用户的输入序列所对应的位置数据;以及除了用户的输入序列所对应的位置数据之外的其他位置数据。
- 一种输入数据的处理装置,其特征在于,包括:获取单元,用于获取用户的至少一个输入数据;解析单元,用于根据所述至少一个输入数据,获得语意数据;匹配单元,用于根据所述语意数据,获得推送信息;推送单元,用于向所述用户提供所述推送信息。
- 根据权利要求7所述的装置,其特征在于,所述获取单元,具体用于获取所述用户的在时间上连续的至少一个输入数据。
- 根据权利要求7或8所述的装置,其特征在于,所述解析单元,具体用于根据所述至少一个输入数据中每个输入数据,获得所述每个输入数据的词袋;以及根据所述每个输入数据的词袋,获得所述语意数据。
- 根据权利要求9所述的装置,其特征在于,所述解析单元,具体用于根据所述每个输入数据,或者所述每个输入数据和预先设置的扩展数据,获得所述每个输入数据的词袋。
- 根据权利要求7~10任一权利要求所述的装置,其特征在于,所述输入数据包括下列数据中的至少一项:用户的输入序列;以及用户的位置数据。
- 根据权利要求11所述的装置,其特征在于,所述用户的位置数据包括下列数据中的至少一项:用户的输入序列所对应的位置数据;以及除了用户的输入序列所对应的位置数据之外的其他位置数据。
- 一种设备,包括:一个或者多个处理器;存储器;一个或者多个程序,所述一个或者多个程序存储在所述存储器中,当被所述一个或者多个处理器执行时:获取用户的至少一个输入数据;根据所述至少一个输入数据,获得语意数据;根据所述语意数据,获得推送信息;向所述用户提供所述推送信息。
- 一种非易失性计算机存储介质,所述非易失性计算机存储介质存储有一个或者多个程序,当所述一个或者多个程序被一个设备执行时,使得所述设备:获取用户的至少一个输入数据;根据所述至少一个输入数据,获得语意数据;根据所述语意数据,获得推送信息;向所述用户提供所述推送信息。
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EP3370136A4 (en) | 2018-10-10 |
EP3370136A1 (en) | 2018-09-05 |
JP2018508080A (ja) | 2018-03-22 |
CN105425978A (zh) | 2016-03-23 |
US20180210875A1 (en) | 2018-07-26 |
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