CN108153785B - Method and device for generating display information - Google Patents
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- CN108153785B CN108153785B CN201611108500.2A CN201611108500A CN108153785B CN 108153785 B CN108153785 B CN 108153785B CN 201611108500 A CN201611108500 A CN 201611108500A CN 108153785 B CN108153785 B CN 108153785B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/957—Browsing optimisation, e.g. caching or content distillation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
Abstract
The application discloses a method and a device for generating display information. One embodiment of the method comprises: acquiring at least one piece of search information; analyzing the acquired search information respectively to extract corresponding search word sequences; aiming at each search word sequence, respectively matching with the requirement word sequence of each preset requirement item to determine search information matched with each preset requirement item; and generating display information based on the search information quantity matched with each preset demand item. The implementation method can make full use of the terminal data and accurately determine the user demand information, thereby improving the effectiveness of the generated display information.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to the field of data processing technologies, and in particular, to a method and an apparatus for generating presentation information.
Background
The user requirements may indicate the goals to be achieved by the user, what is desired, and so on. User requirements are accurately grasped, and service efficiency is improved. For example, in the process of presenting search information, the search intention of the user is grasped, which is beneficial to preferentially presenting the information most desired by the user to the user, and for example, in regional life service, the service requirements of the user in a region are analyzed, the life service is provided in a targeted manner, and the efficiency of the life service in the region and the success rate of transaction are favorably improved. Therefore, generating the display information according to the user requirements has important significance.
The current user demand is often determined by two ways: 1. analyzing the number of user demands of each demand item in the whole (such as nationwide) regional scope according to the hot spot demands in the hot spot regions (such as hot spot cities); 2. the overall user demand is analyzed in terms of the service flow data of the large-scale server. However, in the method 1, the actual user requirement cannot be known for the user by using the actual service data in the method 2. Therefore, it is necessary to make full use of the user terminal data to accurately determine the user requirement information, thereby improving the effectiveness of the generated presentation information.
Disclosure of Invention
The present application is directed to an improved method and apparatus for generating presentation information to solve the above technical problems.
In one aspect, the present application provides a method for generating presentation information, including: acquiring at least one piece of search information; analyzing the acquired search information respectively to extract corresponding search word sequences; aiming at each search word sequence, respectively matching with the requirement word sequence of each preset requirement item to determine search information matched with each preset requirement item; and generating display information based on the search information quantity matched with each preset demand item.
In some embodiments, for each preset requirement item, a corresponding requirement item word sequence is obtained by the following method: acquiring a reference word of a preset demand item; expanding the benchmark word to generate an expanded word, wherein the expanded word comprises at least one of the following items: synonyms of the reference words, and synonyms of the reference words; and respectively generating a requirement item word sequence corresponding to the requirement item by cutting words of the reference word and each expansion word.
In some embodiments, for each search word sequence, matching with the requirement term sequence of each preset requirement term to determine search information matching with each preset requirement term includes: aiming at each search word sequence, matching with the requirement word sequence of each preset requirement item respectively; when all words in at least one requirement item word sequence of the preset requirement item find a matching item in the search word sequence, determining that the preset requirement item is matched with the search information corresponding to the search word sequence.
In some embodiments, presenting information includes at least one of: the number of search information matched with each preset demand item; and the quantity distribution proportion of the search information matched with different preset demand items.
In some embodiments, the preset demand items are divided into a plurality of categories; and generating the display information based on the number of the search information matched with each preset demand item comprises: calculating the demand of each category and/or the demand distribution proportion among the categories based on the total search information quantity matched with each preset demand item in each category; and generating display information according to the demand of each category and/or the demand distribution ratio among the categories.
In some embodiments, the search information includes location information; and generating the display information based on the number of the search information matched with each preset demand item further comprises: determining the area to which the search information belongs based on the position information; generating display information based on the area to which the search information belongs and the number of the search information matched with each preset demand item, wherein the generated display information comprises at least one of the following items: the number of search information matched with the selected requirement item in each area, the distribution proportion of the number of search information matched with the selected requirement item among the areas, the number of search information matched with the requirement item in the selected area, and the distribution proportion of the number of search information matched with the requirement item in the selected area.
In some embodiments, the location information includes: and the searching information corresponds to the position information for initiating the search or the frequent location information of the user for initiating the search corresponding to the searching information.
In some embodiments, the presentation information includes at least one of the following forms: pie charts, bar charts, lists.
In a second aspect, the present application provides an apparatus for generating presentation information, the apparatus comprising: an acquisition module configured to acquire at least one piece of search information; the extraction module is configured to analyze the acquired search information respectively to extract corresponding search word sequences; the matching module is configured to match each search word sequence with the requirement term sequence of each preset requirement term respectively so as to determine search information matched with each preset requirement term; and the generating module is configured to generate display information based on the number of the search information matched with each preset demand item.
In some embodiments, for each preset requirement item, a corresponding requirement item word sequence is obtained by the following method: acquiring a reference word of a preset demand item; expanding the benchmark word to generate an expanded word, wherein the expanded word comprises at least one of the following items: synonyms of the reference words and similar words of the reference words; and respectively generating a demand item word sequence corresponding to the preset demand items by segmenting the reference words and the expansion words.
In some embodiments, the matching module comprises: the matching unit is configured to match each search word sequence with the requirement item word sequence of each preset requirement item respectively; the determining unit is configured to determine that the preset requirement item is matched with the search information corresponding to the search word sequence when all words in at least one requirement item word sequence of the preset requirement item find matching items in the search word sequence.
In some embodiments, presenting information includes at least one of: the number of search information matched with each preset demand item; and the quantity distribution proportion of the search information matched with different preset demand items.
In some embodiments, the preset demand items are divided into a plurality of categories; and, the generating module includes: the calculating unit is configured for calculating the demand of each category and/or the demand distribution proportion among the categories based on the total search information quantity matched with each preset demand item in each category; and the generating unit is configured to generate the display information according to the demand of each category and/or the demand distribution proportion among the categories.
In some embodiments, the search information includes location information; and, the generation module further comprises: a positioning unit configured to determine a region to which the search information belongs based on the position information; the generating unit is configured to generate presentation information based on the area to which the search information belongs and the number of search information matched with each preset demand item, wherein the generated presentation information includes at least one of the following items: the number of search information matched with the selected requirement item in each area, the distribution proportion of the number of search information matched with the selected requirement item among the areas, the number of search information matched with the requirement item in the selected area, and the distribution proportion of the number of search information matched with the requirement item in the selected area.
In some embodiments, the location information includes: and the searching information corresponds to the position information for initiating the search or the frequent location information of the user for initiating the search corresponding to the searching information.
In some embodiments, the presentation form of the presentation information includes at least one of: pie charts, bar charts, lists.
In a third aspect, the present application further provides a computing device comprising: one or more processors; a memory for storing one or more programs; when the one or more programs are executed by the one or more processors, the processors are caused to implement the method for generating the presentation information provided by the present application.
According to the method and the device for generating the display information, at least one piece of search information is obtained, the obtained search information is analyzed respectively to extract the corresponding search word sequence, then, aiming at each search word sequence, the search information matched with each preset demand item is determined by being matched with the demand item word sequence of each preset demand item respectively, then, the display information is generated based on the number of the search information matched with each preset demand item, and as the user demand is determined according to the search information of the user, the terminal data is fully utilized, the user demand information is accurately determined, and therefore the effectiveness of the generated display information is improved.
Drawings
Other features, objects and advantages of the present application will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, with reference to the accompanying drawings in which:
FIG. 1 illustrates an exemplary system architecture to which embodiments of the present application may be applied;
FIG. 2 is a flow diagram of one embodiment of a method of generating presentation information according to the present application;
FIG. 3 is a schematic diagram of an application scenario of a method of generating presentation information according to the present application;
FIG. 4 is a schematic diagram of presentation information generated according to the method for generating presentation information shown in FIG. 3;
FIG. 5 is a flow diagram of another embodiment of a method of generating presentation information according to the present application;
fig. 6a and 6b are schematic diagrams of display information generated according to the method for generating display information shown in fig. 5;
FIG. 7 is a block diagram illustrating one embodiment of an apparatus for generating presentation information according to the present application;
FIG. 8 is a block diagram of a computer system suitable for use in implementing the electronic device of an embodiment of the present application.
Detailed Description
The present application will be described in further detail with reference to the following drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the relevant invention and not restrictive of the invention. It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
FIG. 1 illustrates an exemplary system architecture 100 to which embodiments of the present application may be applied.
As shown in fig. 1, the system architecture 100 may include terminal devices 101, 102, a network 103, and a server 104. The network 103 serves as a medium for providing communication links between the terminal devices 101, 102 and the server 104. Network 103 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.
The terminal devices 101, 102 may interact with the server 104 via the network 103 to receive or send messages or the like. The terminal devices 101 and 102 may have various communication client applications installed thereon, such as an information presentation application, a search application, a map application, a shopping application, a financing application, a social platform application, a mailbox client, an instant messaging tool, and the like.
The terminal devices 101 and 102 may be various electronic devices supporting information presentation applications, search applications, map applications, and the like, and are installed thereon, including but not limited to smart phones, smart watches, tablet computers, personal digital assistants, electronic book readers, MP3 players (Moving Picture Experts Group Audio Layer III, motion Picture Experts compression standard Audio Layer 3), MP4 players (Moving Picture Experts Group Audio Layer IV, motion Picture Experts compression standard Audio Layer 4), laptop portable computers, desktop computers, and the like.
The server 104 may be a server that provides various services. For example, the server 104 may be a background server or the like that provides support for information presentation applications, search applications, map applications, and the like of the terminal apparatuses 101 and 102. The server can store, generate and the like the received data and feed back the processing result to the terminal equipment.
It should be noted that the method for generating the presentation information provided in the embodiment of the present application is generally executed by the server 104, but does not exclude the possibility that the method may be executed by the terminal devices 101 and 102. Accordingly, the apparatus for generating the presentation information provided in the embodiment of the present application is generally disposed in the server 104, but does not exclude the possibility that the apparatus may be disposed in the terminal devices 101 and 102.
It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
Referring to FIG. 2, a flow 200 of one embodiment of a method of generating presentation information is shown. The embodiment is mainly exemplified by applying the method to an electronic device with certain computing capability, and the electronic device may be, for example, the server 104 shown in fig. 1. The method for generating the display information comprises the following steps:
In this embodiment, the electronic device may obtain, locally or remotely, at least one piece of search information that the user searches through the terminal. The search information may be information searched by a user through a search application, a shopping application, a map application, and the like running on the terminal, and may include one or more of a search term, a search time, and the like, where the search term may include a search keyword selected by inputting a character, clicking a hyperlink, and the like. If the user searches for "wedding photo package whose price near the recommendation is about 5000 yuan", the search information may be "wedding photo package whose price near the recommendation is about 5000 yuan, 20151001", where 20151001 denotes date 2015 year, 10 months, 01 days.
Specifically, the electronic device may be, for example, a background server providing support for a search-type application, a shopping-type application, a map-type application, and the like running on the terminal, and when a user selects a search keyword to perform a search by inputting characters, the electronic device may remotely acquire or obtain search information in a search log of the terminal through the terminal in a wired connection manner or a wireless connection manner, and when the user selects the search keyword to perform a search by clicking a hyperlink, and the like, the electronic device may locally acquire a hyperlink vocabulary stored locally. In some implementations, the electronic device may also be a background server that provides support for generating the presentation information application, and may also remotely obtain the above search information from the background server that provides support for the search application, the shopping application, the map application, and the like running on the terminal through a wired connection manner or a wireless connection manner. The wireless connection means includes, but is not limited to, a 3G/4G connection, a WiFi connection, a bluetooth connection, a WiMAX connection, a Zigbee connection, a uwb (ultra wideband) connection, and other wireless connection means now known or developed in the future.
In practice, the electronic device may filter the acquired search information to reduce data processing by filtering search information having a number of characters exceeding a preset threshold (e.g., search terms having more than 16 characters) or containing a specific search term (e.g., fontanel) irrelevant to the user's needs, etc.
In this embodiment, the electronic device may further obtain the search information according to a preset time period (e.g., one day), or from a preset application, or from a preset website, and the like, which is not limited in this application.
In this embodiment, the electronic device may further analyze each piece of acquired search information to extract a search word sequence corresponding to each piece of search information. The search word sequence may be at least one word extracted from a search word, a search time, and the like.
As an example, the electronic device may process the search word included in the search information by various word segmentation or word segmentation methods, and use at least one obtained word as a search word sequence corresponding to the search information. Here, the electronic device may perform word segmentation processing on the search word by semantic analysis or a full segmentation method, so as to obtain a word sequence composed of single words, that is, a search word sequence. Taking a full segmentation example, the electronic device may segment all possible words in the search words that match the language lexicon by using a full segmentation method, and then determine an optimal segmentation result by using a statistical language model. Taking the example that the user inputs information that 'I specially wants to learn swimming', the language word stock matching can be firstly carried out, and all matched words, i, especially, do not want, learn and swim, are found; the words can be represented in a word lattice (word lattices) form, then a path search is performed based on the word lattice, and an optimal path is found based on a statistical language model (such as an N-Gram model). If the result shows that the language model of 'I specially wants to learn swimming' has the highest score, then 'I specially wants to learn swimming' is the single word contained in 'I specially wants to learn swimming'. The N-Gram Model is a common Language Model, and for Chinese, it may be referred to as Chinese Language Model (CLM). In practice, the electronic device may use the words segmented in the above example as the search word sequence, or may perform preliminary screening on the segmented words, and use the remaining words after removing some common words or dummy words that are irrelevant to the user's needs, such as "me", and the like, as the search word sequence. The common words or the dummy words irrelevant to the user requirement may be, for example, words having an occurrence frequency greater than a certain threshold in all the documents. The preliminary screening of the segmented words can reduce the data processing amount.
In this embodiment, the electronic device may further match each search word sequence with a requirement term sequence of each preset requirement term, respectively, to determine a requirement term sequence matched with the search word sequence, where when one search word sequence is matched with one requirement term sequence, the electronic device may determine that search information corresponding to the search word sequence is matched with a preset requirement term corresponding to the requirement term sequence.
The preset requirement item may be a requirement item pre-stored in the electronic device. The requirement item can be preset manually or obtained by clustering the electronic equipment according to the similarity or the relevancy according to historical user requirement keywords. Each requirement item may be represented by one requirement formula, or may have a plurality of requirement formulas. For example, for stationery, a requirement item may be a pen, and the requirement item may have a requirement type "pen", or may have a plurality of requirement types "pencil", "sign pen", "fountain pen", and the like. For each requirement formula of a requirement item, words can be cut respectively by the foregoing method to obtain requirement item word sequences corresponding to the requirement items respectively, that is, a requirement item can correspond to one or more requirement item word sequences, which is not described herein again.
In practice, the electronic device may calculate the similarity between the search word sequence and the demand item word sequence by a similarity method such as a jaccard similarity, a cosine similarity, and determine the search word sequence and the demand item word sequence having the similarity greater than a preset similarity threshold as matching. Taking the similarity of the jaccard as an example, the search word sequence and the demand term sequence can be calculated by the following algorithm: the similarity of the search word sequence and the requirement term sequence is equal to the sum of the number of the common words of the search word sequence and the requirement term sequence and the number of the words in the search word sequence and the requirement term sequence.
In practice, the electronic device may further match each word in the search word sequence with a word in the demand term sequence, and determine that the search word sequence matches the demand term sequence if all words in the demand term sequence are matched in the search word sequence.
In some optional implementation manners of this embodiment, the requirement items may also be divided into a plurality of categories, and the categories may also be classified, for example, into three levels, a large category, a small category, and a requirement item. As an example, taking a business demand item as an example, the demand item may be a specific user demand such as "wedding photo", which may belong to a small category "photo shooting" with other demand items such as "portrait/artistic photo" and "children photo", and the like, which may in turn belong to a large category "wedding photo" with other small categories such as "wedding", "photo shooting", and "etiquette celebration", and the like. At this time, for each category, the electronic device may determine that search information that matches any of the demand items under the category matches the demand item for the category.
In some optional implementation manners of this embodiment, the electronic device may obtain, for each preset requirement item, a corresponding requirement item sequence by using the following method: acquiring a reference word of a preset demand item; expanding the benchmark word to generate an expanded word, wherein the expanded word may include at least one of: synonyms of the above-mentioned reference words, and synonyms of the above-mentioned reference words; the reference words and the expansion words are cut into words respectively, and a demand item word sequence corresponding to a preset demand item is generated respectively. For example, the reference word of the preset requirement item may be "property cleaning", and the electronic device may expand the reference word by semantic analysis or other methods to obtain the synonym and the synonym of the reference word, so as to generate the expanded words "property cleaning", "cleaning department", "property cleaner", and the like. At this time, the electronic device may cut words of each extension word to generate a requirement term sequence, for example, a requirement term sequence "property cleaning" corresponding to "property cleaning", a requirement term sequence "property cleaner" corresponding to "property cleaner", and the like. In some implementations, the electronic device may calculate, by a method similar to the foregoing method, a similarity between the search word sequence and a requirement term sequence generated by each expansion word, and determine that corresponding search information matches a preset requirement term when the similarity is greater than a preset threshold. In other implementations, if all words in the sequence of demand terms generated by any one of the above-described expanded word segmentations are matched in the sequence of search terms, it is determined that the corresponding search information matches the corresponding preset demand term. And will not be described in detail herein.
In practice, the electronic device may also record search information matching each preset requirement item in any form, for example, the electronic device may represent the number of search information matching each preset requirement item in a uniform format after matching is completed, for example: < Preset requirement item, City, trade area, search information quantity >. At this time, after one more piece of search information is acquired and the corresponding preset requirement item is matched, the electronic device may increase the number of pieces of search information corresponding to the preset requirement item by 1.
And step 204, generating display information based on the search information quantity matched with each preset demand item.
In this embodiment, the electronic device may then count the number of pieces of search information that match each preset requirement item, and generate the presentation information based on the counted number of pieces of search information that match each preset requirement item.
The generated display information may be the number of search information matched with each preset requirement item (for example, 1000 in pen, 2000 in book, etc.), or the distribution ratio of the number of search information matched with different preset requirement items among a plurality of preset requirement items (for example, 33% in pen, 67% in book, etc.). In practice, the presentation information generated by the electronic device may include, but is not limited to, at least one of the following presentation forms: pie charts, bar charts, lists, and the like. The presentation information may be presented to the user through an information presentation type application, a map type application, a shopping type application, a search result of a search engine, etc. of the terminal.
In some optional implementation manners of this embodiment, the preset requirement items may also be divided into a plurality of categories, and then the electronic device may calculate the required quantity of each category and/or the required quantity distribution ratio among the categories based on the total search information quantity matched with each preset requirement item in each category, and then generate the display information according to the required quantity of each category and/or the required quantity distribution ratio among the categories. Here, the demand amount may be a quantity value indicating how many users demand the demand item, and may be a total number of pieces of search information that match the respective preset demand items in each category, or may be a number proportional to the total number of pieces of search information. When the categories have a plurality of grades, the electronic device can also generate the display information according to the demand of different grades to each category and/or the distribution proportion of the demand among the categories.
As an application scenario, as shown in fig. 3, the method for generating presentation information according to this embodiment may be applied to a background server 302 for providing support for a map application including a marketing strategy tool, where the map application may be run on user terminals 301 and 303 held by a user. Other applications such as a search-type application and a shopping-type application may also be run on the terminals 301 and 303, which is not limited in this application.
In the application scenario shown in fig. 3, through step 3001, the user queries the demand heat of the commercial service item (preset demand item) through the map-like application running on the terminal 301, at this time, the terminal 301 may send a query request to the background server 302; then, through step 3002, backend server 302 may obtain at least one piece of search information from multiple terminals, such as terminals 301 and 302; then, through step 3003, the backend server 302 may analyze the obtained search information to obtain corresponding search word sequences respectively; next, through step 3004, the backend server 302 may determine, for each search term sequence, the number of search information items matching each business service term by respectively matching each business service term sequence (requirement term sequence); then, through step 3005, the backend server 302 may generate, for example, presentation information in the form of pie chart or the like, by dividing the number of pieces of search information matching each business service item in a distributed ratio; then, through step 3006, backend server 302 may send the generated presentation information to terminal 301, at which point terminal 301 may present the presentation information to the user.
As an example, fig. 4 shows one illustration of presentation information generated under the application scenario of fig. 3. In the pie chart shown in fig. 4, the preset demand items are classified into medical health, business service, wholesale purchase, entertainment, education and training, beauty, food and drink, and other categories.
It should be noted that the application scenario shown in fig. 4 is only an application example for generating the presentation information in the present application, and is not limited to this application scenario, for example, in the application scenario of fig. 4, the step 3001 may be adjusted to be after the step 3004 or the step 3005. That is, the background server 302 may obtain the number of pieces of search information matched with each preset requirement item in real time, so that the user generates the presentation information when querying through the terminal, or generate the presentation information in real time, so that the user sends the presentation information to the terminal when querying through the terminal, which is not limited in this application.
In the embodiment, the user requirement is determined according to the search information of the user, the terminal data is fully utilized, and the user requirement information can be accurately determined, so that the effectiveness of the generated display information is improved.
Referring to FIG. 5, a flow 500 of another embodiment of a method of generating presentation information is shown, the flow 500 including the steps of:
In this embodiment, the electronic device may obtain, locally or remotely, search information for at least one user to search through the terminal. The search information may be information searched by a user through a search application, a shopping application, a map application, and the like running on the terminal, and may include one or more of a search term, a search time, and the like, where the search term may include a search keyword selected by inputting a character, clicking a hyperlink, and the like.
The search information in the present embodiment may include location information. The location information may be, for example, location information (e.g., a geographic location where the user performs a search) corresponding to the search information, which may be obtained by a positioning module (e.g., a global positioning system GPS) of the terminal. The location information may also be the location information of the regular premises (e.g., home, company) of the user initiating the search corresponding to the search information. In practice, some terminal applications may be set by a user to prohibit obtaining of the location information, in this embodiment, the electronic device may determine whether the obtained search information carries the location information when obtaining the search information, if so, obtain the search information, otherwise, discard the search information. In some implementations, the electronic device may also filter search information by search terms to reduce data processing by filtering out search information having longer (e.g., more than 16 characters) search terms or particular search terms that contain special terms that are not relevant to the user's needs, etc.
In this embodiment, the electronic device may further analyze each piece of acquired search information to extract a search word sequence corresponding to each piece of search information. The search word sequence may be at least one word extracted from a search word, a search time, and the like. For example, the electronic device may process the search word included in the search information by various word segmentation or word segmentation methods, and use at least one obtained word as a search word sequence corresponding to the search information. Here, the electronic device may perform word segmentation processing on the search word by semantic analysis or a full segmentation method, or the like, to obtain a word sequence composed of single words. The electronic device may use the words segmented in the above example as a search word sequence, or may perform preliminary screening on the segmented words, and remove some common words or remaining words after the dummy word irrelevant to the user's requirement as a search word sequence.
In this embodiment, the electronic device may further match each search word sequence with a requirement term sequence of each preset requirement term, respectively, to determine a requirement term sequence matched with the search word sequence, and when one search word sequence is matched with one requirement term sequence, the electronic device may determine that search information corresponding to the search word sequence is matched with the preset requirement term corresponding to the requirement term sequence. The preset requirement items can be artificially preset requirement items stored in the electronic equipment in advance or requirement items obtained by clustering according to similarity or relevance according to historical user requirement keywords. Each requirement item may be represented by one requirement formula, or may have a plurality of requirement formulas. The requirement formula may be a base word of the requirement item, and the requirement formulas may be expanded words obtained by expanding the base word of the requirement item.
In this embodiment, the electronic device may further determine the areas to which the search information belongs based on the location information included in the search information. The electronic device may store a plurality of geographic areas in advance, and the geographic areas may be divided and stored by latitude and longitude coordinate ranges, area names, and the like. When the preset demand item is a commercial service item, the geographical area business circle is divided and stored. The electronic device may determine the area to which the search information belongs according to the latitude and longitude coordinate range to which the latitude and longitude coordinates included in the search information belong, or may determine the area to which the user belongs (for example, the business district) according to the distance from the center of the area corresponding to the area name.
For example, if the user searches for "wedding photo package with a recommended vicinity price of about 5000 yuan", the search information may be "wedding photo package with a recommended vicinity price of about 5000 yuan, 116.32, 39.98", where 116.32, 39.98 are longitude and latitude coordinates of the geographical location where the user performs the search, respectively. At this time, the determining, by the electronic device, the city and business district information to which the electronic device belongs according to the location information includes: city: beijing City; and (4) business circles: the trade circle of the Zhongguancun, the trade circle of the people university and the trade circle of the Suzhou street.
And 505, generating display information based on the areas to which the search information belongs and the number of the search information matched with each preset demand item.
In this embodiment, the electronic device may generate presentation information based on the area to which the search information belongs and the number of search words matched with each preset requirement item, where the generated presentation information may include, but is not limited to, at least one of the following information: the number of search information pieces matching the selected requirement items in each area, the distribution ratio of the number of search information pieces matching the selected requirement items among the areas, the number of search information pieces matching the requirement items in the selected area, the distribution ratio of the number of search information pieces matching the requirement items in the selected area, and the like. In practice, the presentation form of the presentation information generated by the electronic device may include, but is not limited to, at least one of the following: pie charts, bar charts, lists, and the like. As shown in fig. 6a, a schematic diagram showing a distribution ratio of the amount of search information matching the selected requirement item (wedding photo) between the areas (business circles) in the pie chart format is given.
In some optional implementation manners of this embodiment, the preset requirement items may also be divided into a plurality of categories, and the electronic device may further generate the presentation information according to the categories, for example, the generated presentation information may include: the number of search terms matching the demand items of the selected category in each region, the distribution ratio of the number of search terms matching the demand items of the selected category among each region, the number of search terms matching the demand items of each category in the selected region, and the distribution ratio of the number of search terms matching the demand items of each category in the selected region. Optionally, the categories may be further divided into a plurality of levels, and the categories may also be categories of the selected levels. As shown in fig. 6b, a schematic diagram showing a distribution ratio of the amount of search information between the areas (business circles) represented in the form of a pie graph matching the requirement items (for example, preset requirement items such as wedding photos, portrait/art photos, two-way photos, etc.) of the selected category (photography and camera shooting) is given.
In this embodiment, step 502 and step 503 in the above implementation flow are substantially the same as step 202 and step 203 in the foregoing embodiment, respectively, and are not described again here.
As can be seen from fig. 5, unlike the embodiment corresponding to fig. 2, in the embodiment, the step 504 of determining the area to which the search information belongs based on the location information included in the search information, and the step 505 of generating the presentation information by using the area to which the search information belongs and the number of search words matching with each preset requirement item instead of the step 204 are added to the search information acquired in the step 501 of the method for generating the presentation information in the embodiment, so that the presentation information is generated according to the area, the analysis of the user requirement has area pertinence, and the requirements of different areas are grasped more accurately and practically.
With further reference to fig. 7, as an implementation of the method shown in the above-mentioned figures, the present application provides an embodiment of an apparatus for generating presentation information, where the embodiment of the apparatus corresponds to the embodiment of the method shown in fig. 2, and the apparatus may be specifically applied to an electronic device.
As shown in fig. 7, the apparatus 700 for generating presentation information of the present embodiment includes: an obtaining module 701, an extracting module 702, a matching module 703 and a generating module 704. The obtaining module 701 may be configured to obtain at least one piece of search information; the extracting module 702 may be configured to analyze each acquired search information to extract a corresponding search word sequence; the matching module 703 may be configured to match, for each search word sequence, the requirement term sequence of each preset requirement term respectively to determine search information matched with each preset requirement term; the generating module 704 may be configured to generate the presentation information based on the number of search information matched with each preset requirement item.
In some optional implementation manners of this embodiment, the apparatus 700 may obtain, for each preset requirement item, a corresponding requirement item sequence by the following method: acquiring a reference word of a preset demand item; expanding the benchmark word to generate an expanded word, wherein the expanded word comprises at least one of the following items: synonyms of the reference words and similar words of the reference words; and respectively generating a demand item word sequence corresponding to the preset demand items by segmenting the reference words and the expansion words.
In some optional implementations of this embodiment, the matching module 703 may include: a matching unit (not shown) configured to match, for each search word sequence, a requirement term word sequence generated by word segmentation of an expansion word of each preset requirement term; and a determining unit (not shown) configured to determine that the preset requirement item matches with the search information corresponding to the search word sequence when all words in at least one requirement item word sequence of the preset requirement item find matching items in the search word sequence.
In some optional implementations of this embodiment, the presentation information may include, but is not limited to, at least one of: the number of search information matched with each preset demand item; the distribution ratios of the quantity of the search information matched with different preset requirement items and the like.
In some optional implementation manners of this embodiment, the preset requirement items are classified into a plurality of categories, and at this time, the generating module 703 includes: a calculation unit (not shown) configured to calculate a demand amount of each category and/or a demand amount distribution ratio among the categories based on the total search information amount matched with each preset demand item in each category; and a generating unit (not shown) configured to generate the presentation information according to the demand of each category and/or the demand distribution ratio among the categories.
In some optional implementations of the present embodiment, the search information may include location information. In this case, the generating module 703 further includes: a positioning unit (not shown) configured to determine a region to which the search information belongs based on the position information; and a generating unit (not shown) configured to generate presentation information based on the area to which the search information belongs and the number of search information matched with each preset requirement item. Wherein the generated presentation information includes, but is not limited to, at least one of: the number of search information pieces matching the selected requirement items in each area, the distribution ratio of the number of search information pieces matching the selected requirement items among the areas, the number of search information pieces matching the requirement items in the selected area, the distribution ratio of the number of search information pieces matching the requirement items in the selected area, and the like. In some implementations, the location information may include: and the searching information corresponds to the position information for initiating the search or the frequent location information of the user for initiating the search corresponding to the searching information.
In some optional implementations of this embodiment, the presentation form of the presentation information includes at least one of: pie charts, bar charts, lists, and the like.
It should be noted that the modules described in the apparatus 700 for generating presentation information correspond to the respective steps in the method described with reference to fig. 2. Thus, the operations and features described above for the method are also applicable to the apparatus 700 for generating display information and the modules or units included therein, and are not described herein again.
Those skilled in the art will appreciate that the above-described apparatus 700 for generating presentation information also includes some other well-known structures, such as processors, memories, etc., which are not shown in fig. 7 in order to not unnecessarily obscure embodiments of the present disclosure. Referring now to FIG. 8, shown is a block diagram of a computer system 800 suitable for use in implementing the electronic device of an embodiment of the present application.
As shown in fig. 8, the computer system 800 includes a Central Processing Unit (CPU)801 that can perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)802 or a program loaded from a storage section 808 into a Random Access Memory (RAM) 803. In the RAM803, various programs and data necessary for the operation of the system 800 are also stored. The CPU 801, ROM 802, and RAM803 are connected to each other via a bus 804. An input/output (I/O) interface 805 is also connected to bus 804.
The following components are connected to the I/O interface 805: an input portion 806 including a keyboard, a mouse, and the like; an output section 807 including a signal such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage portion 808 including a hard disk and the like; and a communication section 809 including a network interface card such as a LAN card, a modem, or the like. The communication section 809 performs communication processing via a network such as the internet. A drive 810 is also connected to the I/O interface 805 as necessary. A removable medium 811 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 810 as necessary, so that a computer program read out therefrom is mounted on the storage section 808 as necessary.
In particular, according to embodiments of the application, the processes described above with reference to the flow diagrams may be implemented as computer software programs. For example, embodiments of the present application include a computer program product comprising a computer program tangibly embodied on a machine-readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program can be downloaded and installed from a network through the communication section 809 and/or installed from the removable medium 811.
The modules or units related in the embodiments of the present application may be implemented by software, or may be implemented by hardware. The described modules may also be provided in a processor, which may be described as: a processor comprises an acquisition module, an extraction module, a matching module and a generation module. Wherein the names of these modules do not in some cases constitute a limitation of the module itself, for example, the acquiring module may also be described as a "module configured to acquire at least one piece of search information".
As another aspect, the present application also provides a computer-readable storage medium, which may be the computer-readable storage medium included in the apparatus in the above-described embodiments; or it may be a separate computer-readable storage medium not incorporated in the terminal. The computer readable storage medium stores one or more programs that, when executed by one or more processors, cause the apparatus to: acquiring at least one piece of search information; analyzing the acquired search information respectively to extract corresponding search word sequences; aiming at each search word sequence, respectively matching with the requirement word sequence of each preset requirement item to determine search information matched with each preset requirement item; and generating display information based on the search information quantity matched with each preset demand item.
As another aspect, the present application also provides a computing device comprising: one or more processors; a memory for storing one or more programs (which may include, for example, the computer-readable storage media described above); when the one or more programs are executed by the one or more processors, the processors are enabled to implement the method for generating the presentation information provided by the application.
The above description is only a preferred embodiment of the application and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention herein disclosed is not limited to the particular combination of features described above, but also encompasses other arrangements formed by any combination of the above features or their equivalents without departing from the spirit of the invention. For example, the above features may be replaced with (but not limited to) features having similar functions disclosed in the present application.
Claims (17)
1. A method of generating presentation information, the method comprising:
the method comprises the steps that at least one piece of search information is obtained in response to a received query request sent when a user queries the required heat of a preset required item through a terminal, wherein each piece of search information comprises a search word, and the search word comprises a search keyword selected through input characters;
analyzing the acquired search information respectively to extract corresponding search word sequences;
aiming at each search word sequence, respectively matching with the requirement item word sequence of each preset requirement item of the classification category in a plurality of classifications to determine search information matched with each preset requirement item under the classification category;
and generating display information based on the search information quantity matched with each preset demand item.
2. The method of claim 1, wherein for each preset requirement item, the corresponding requirement item sequence is obtained by the following method:
acquiring a reference word of a preset demand item;
expanding the reference word to generate an expanded word, wherein the expanded word comprises at least one of: synonyms of the reference words, close synonyms of the reference words;
and respectively generating the requirement item word sequence corresponding to a preset requirement item by word segmentation of the reference word and each expansion word.
3. The method according to claim 2, wherein the matching, for each search word sequence, with the requirement term sequence of each preset requirement term to determine search information matching each preset requirement term comprises:
aiming at each search word sequence, matching with the requirement word sequence of each preset requirement item respectively;
when all words in at least one requirement item word sequence of the preset requirement item find a matching item in the search word sequence, determining that the preset requirement item is matched with the search information corresponding to the search word sequence.
4. The method of claim 1, wherein the presentation information comprises at least one of:
the number of search information matched with each preset demand item;
and the quantity distribution proportion of the search information matched with different preset demand items.
5. The method of claim 1, wherein the generating presentation information based on the number of search information items matching each preset requirement item comprises:
calculating the demand of each category and/or the demand distribution proportion among the categories based on the total search information quantity matched with each preset demand item in each category;
and generating the display information according to the demand of each category and/or the demand distribution proportion among the categories.
6. The method of claim 1, wherein the search information comprises location information; and
the generating of the display information based on the number of the search information matched with each preset demand item further comprises:
determining a region to which the search information belongs based on the position information;
generating display information based on the area to which the search information belongs and the number of the search information matched with each preset demand item, wherein the generated display information comprises at least one of the following items: the number of search information matched with the selected requirement item in each area, the distribution proportion of the number of search information matched with the selected requirement item among the areas, the number of search information matched with the requirement item in the selected area, and the distribution proportion of the number of search information matched with the requirement item in the selected area.
7. The method of claim 6, wherein the location information comprises: and the position information which initiates the search corresponding to the search information or the frequent location information of the user which initiates the search corresponding to the search information.
8. The method according to any one of claims 4-7, wherein the presentation form of the presentation information comprises at least one of: pie charts, bar charts, lists.
9. An apparatus for generating presentation information, the apparatus comprising:
the system comprises an acquisition module, a search module and a display module, wherein the acquisition module is configured to respond to a query request sent when a user queries the required heat of a preset required item through a terminal, and acquire at least one piece of search information, wherein each piece of search information comprises a search word which comprises a search keyword selected through input characters;
the extraction module is configured to analyze the acquired search information respectively to extract corresponding search word sequences;
the matching module is configured to match each search word sequence with a demand item word sequence of each preset demand item divided into a classification category in a plurality of classifications to determine search information matched with each preset demand item under the classification category;
and the generating module is configured to generate display information based on the number of the search information matched with each preset demand item.
10. The apparatus of claim 9, wherein for each preset requirement item, the corresponding requirement item sequence is obtained by the following method:
acquiring a reference word of a preset demand item;
expanding the reference word to generate an expanded word, wherein the expanded word comprises at least one of: synonyms of the reference words, close synonyms of the reference words;
and respectively generating the requirement item word sequence corresponding to a preset requirement item by word segmentation of the reference word and each expansion word.
11. The apparatus of claim 10, wherein the matching module comprises:
the matching unit is configured to match each search word sequence with the requirement item word sequence of each preset requirement item respectively;
the determining unit is configured to determine that the preset requirement item is matched with the search information corresponding to the search word sequence when all words in at least one requirement item word sequence of the preset requirement item find matching items in the search word sequence.
12. The apparatus of claim 9, wherein the presentation information comprises at least one of:
the number of search information matched with each preset demand item;
and the quantity distribution proportion of the search information matched with different preset demand items.
13. The apparatus of claim 9, wherein the generating module comprises:
the calculating unit is configured to calculate the demand of each category and/or the demand distribution proportion among the categories based on the total search information quantity matched with each preset demand item in each category;
and the generating unit is configured to generate the display information according to the demand of each category and/or the demand distribution proportion among the categories.
14. The apparatus of claim 9, wherein the search information comprises location information; and
the generation module further comprises:
a positioning unit configured to determine a region to which the search information belongs based on the position information;
the generating unit is configured to generate display information based on the area to which the search information belongs and the number of search information matched with each preset demand item, wherein the generated display information includes at least one of the following items: the number of search information matched with the selected requirement item in each area, the distribution proportion of the number of search information matched with the selected requirement item among the areas, the number of search information matched with the requirement item in the selected area, and the distribution proportion of the number of search information matched with the requirement item in the selected area.
15. The apparatus of claim 14, wherein the location information comprises: and the position information which initiates the search corresponding to the search information or the frequent location information of the user which initiates the search corresponding to the search information.
16. The apparatus according to any one of claims 12-15, wherein the presentation form of the presentation information comprises at least one of: pie charts, bar charts, lists.
17. A computing device, comprising:
one or more processors;
a memory for storing one or more programs;
the one or more programs, when executed by the one or more processors, cause the processors to implement the method of any of claims 1 to 8.
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| CN111382364B (en) * | 2020-03-19 | 2023-08-18 | 北京字节跳动网络技术有限公司 | Method and device for processing information |
| CN112286982B (en) * | 2020-09-25 | 2024-01-30 | 长沙市到家悠享网络科技有限公司 | Data processing method, server device and client device |
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