CN114510651A

CN114510651A - Local region characteristic-based tourism strategy pushing method and system

Info

Publication number: CN114510651A
Application number: CN202210411654.8A
Authority: CN
Inventors: 董永斌; 邱家海
Original assignee: Shenzhen Local Baoxin Media Technology Co ltd
Current assignee: Shenzhen Local Baoxin Media Technology Co ltd
Priority date: 2022-04-19
Filing date: 2022-04-19
Publication date: 2022-05-17
Anticipated expiration: 2042-04-19
Also published as: CN114510651B

Abstract

The invention relates to the technical field of travel strategy pushing, in particular to a travel strategy pushing method and system based on local region characteristics, which comprises the following steps: acquiring browsing content of a first user and a second user n; analyzing the browsing content, and judging whether the first user has travel intention; analyzing the browsing content to obtain travel related information; screening a plurality of first preset tourism information with a tourism starting point as an area where a first user is located from a database, and reasoning to obtain a plurality of first preset keyword sets; taking n pieces of first preset travel information corresponding to the first n pieces of first preset keyword sets in the matching degree sequence list of the plurality of first preset keyword sets and the travel related information as n pieces of travel push information; generating n pieces of travel strategy information; and respectively pushing the n pieces of travel strategy information to the associated n pieces of second users. The method and the device have the effects of pushing more accurate travel information and attacking for the user.

Description

Local region characteristic-based tourism strategy pushing method and system

Technical Field

The invention relates to the technical field of travel strategy pushing, in particular to a travel strategy pushing method and system based on local region characteristics.

Background

With the gradual improvement of the life quality of people, tourism becomes an important form of leisure life of people; at present, the tourism information acquisition ways of people mainly comprise an active mode and a passive mode, active acquisition is realized by searching the tourism information from a network, but the information on the network has a part which is not beneficial to judgment of people, people cannot effectively screen the part, and a large amount of data information which is not beneficial to judgment of people is essential along with the development of big data and the Internet; passive acquisition is pushed by means of advertisements and the like, but often some travel messages which do not accord with the mind of people are pushed.

Disclosure of Invention

In order to push more accurate travel information and strategy for a user, the application provides a travel strategy pushing method and system based on local area characteristics.

The above object of the present invention is achieved by the following technical solutions:

a tourism strategy pushing method based on local region characteristics comprises the following steps:

acquiring browsing content of a first user in a first preset time, and sending information to a second user n of the first user through a chat interface in a second preset time;

analyzing the browsing content according to a travel keyword set to judge whether the first user has travel intention, wherein the travel keyword set is obtained by analyzing past travel information of the first user;

under the condition that the travel intention exists, analyzing the browsing content to obtain travel related information;

screening a plurality of first preset tourism information with a tourism starting point as an area where a first user is located from a database, and performing traversal reasoning on the screened first preset tourism information through a model to obtain a plurality of first preset keyword sets;

taking n pieces of first preset travel information corresponding to first n pieces of first preset keyword sets in a matching degree sequence list of the plurality of first preset keyword sets and the travel related information as n pieces of travel push information, wherein the plurality of first preset keyword sets in the matching degree sequence list are sorted from high to low according to the matching degree;

the method comprises the steps that n pieces of tourism push information and n pieces of geographical positions of second users are correspondingly associated one by one to obtain n groups of tourism combination information, n pieces of tourism attack information are generated according to an area where a first user is located and the n groups of tourism combination information, each group of tourism combination information is associated with each piece of tourism attack information, each piece of tourism attack information comprises a tourism route, each tourism route passes through a preset area, and the preset area comprises the geographical position where the second user is located in the tourism combination information associated with the tourism attack information;

and respectively pushing the n pieces of travel strategy information to the associated n pieces of second users.

By adopting the technical scheme, the first user browses webpage contents through a browser or a browsing plug-in attached to chat software, the system periodically acquires the browsing contents of the first user within a first preset time, such as browsing contents within 1 day, and then analyzes the browsing contents according to the travel keyword set so as to judge whether the first user has travel intention; under the condition that the first user has the travel intention, analyzing the browsing content of the first user within a first preset time to obtain travel related information, screening a plurality of first preset travel information with the travel starting point as the area of the first user from a database, wherein the database stores a large amount of preset travel information in advance, and each preset travel information comprises a preset travel starting point, a preset travel destination, a preset travel solar term and preset travel weather; then inputting the screened first preset tourism information into a model respectively for reasoning to obtain a plurality of corresponding first preset keyword sets, then matching the plurality of first preset keyword sets with the tourism related information respectively, sequencing the matching results from high to low to obtain a matching degree sequence list, in addition, obtaining a second user number n of information sent to the first user through a chat interface within a second preset time, wherein the second preset time can be within 1 month, then using n first preset tourism information corresponding to the first n first preset keyword sets in the matching degree sequence list as n pieces of tourism push information, associating the n pieces of tourism push information with the geographical positions of the n second users one by one to obtain n groups of tourism combination information, and then combining the area where the first user is located to obtain n pieces of tourism strategy information, the routes in the n pieces of tourism strategy information all pass through the geographical position where the associated second user is located, then the n pieces of tourism strategy information are pushed to the associated n pieces of second users respectively, further, the at most n pieces of tourism strategy information can be sent to the first user under the pushing of the at most n pieces of second users, the second users are screened, the geographical position where the second user is located is included through the tourism routes, the tendency that the second user pushes the tourism strategy information to the first user is enhanced, and further more accurate tourism information and strategy are pushed to the users.

The present application may be further configured in a preferred example to: the travel keyword set is obtained by analyzing past travel information of the user, and specifically comprises the following steps:

acquiring a plurality of past travel information of a user;

generating a plurality of pieces of simulated travel information according to each piece of past travel information of the user;

matching a plurality of corresponding second preset tourism information in a database according to the plurality of simulated tourism information;

a plurality of corresponding second preset tourism information input models are subjected to reasoning to obtain a plurality of second preset keyword sets;

and summarizing the plurality of second preset keyword sets to be used as the travel keyword sets.

By adopting the technical scheme, a plurality of corresponding pieces of simulated travel information are generated according to each piece of previous travel information of the user, then the plurality of pieces of simulated travel information are matched with a plurality of pieces of corresponding second preset travel information in a database, then the plurality of corresponding second preset travel information are input into a model for reasoning, so that a plurality of second preset keyword sets can be obtained, the second preset keyword sets are collected into the travel keyword sets, each second keyword set is associated with each piece of previous travel information of the user, new keywords are expanded based on the association, and a complete travel keyword set can be provided.

The present application may be further configured in a preferred example to: the plurality of pieces of simulated travel information comprise first travel information, second travel information, third travel information and fourth travel information;

the generating of the plurality of simulated travel information according to the past travel information of the user comprises:

acquiring the current solar terms and the current weather of the tour origin, and the current solar terms and the current weather of the tour destination according to the past tour information, wherein the current solar terms of the tour origin are first solar terms, and the current weather of the tour origin is first weather; the current solar terms of the travel terminal are second solar terms, and the current weather of the travel terminal is second weather;

generating first travel information, second travel information, third travel information and fourth travel information, wherein the first travel information comprises a first travel starting point, a first travel destination, a travel solar term and travel weather, the first travel starting point is a travel destination, and the first travel destination is a travel starting point;

the second travel information comprises a travel starting point, a travel destination, a first solar term and first weather;

the third travel information comprises a travel starting point, a travel destination, a second solar term and second weather;

the fourth travel information comprises a travel starting point, a travel destination, a travel solar term and travel weather.

By adopting the technical scheme, the travel information is expanded into four pieces of travel information based on each piece of previous travel information, namely the first travel information, the second travel information, the third travel information and the fourth travel information, and at least any one of the four pieces of travel information is different in starting point, finishing point, time and weather, so that different pieces of travel information are provided from multiple aspects, and a complete travel keyword set is provided from multiple aspects subsequently.

The present application may be further configured in a preferred example to: the second user is the user who sent the push information to the first user.

By adopting the technical scheme, the travel strategy information is pushed to the user who sends the push information to the first user once, the push can be more accurately released, and the redundant calculation is reduced.

The present application may be further configured in a preferred example to: the second user is a user for which the first user has viewed push information of the second user.

The present application may be further configured in a preferred example to: the preset area is a circular area with the geographic position of the second user as the center and the radius as the preset value.

The second objective of the present invention is achieved by the following technical solutions:

local regional characteristic-based tourism strategy pushing system comprises:

the acquisition module is used for acquiring browsing contents of a first user in a first preset time and sending information to a second user number n of the first user through a chat interface in a second preset time;

the first analysis module is used for analyzing the browsing content according to a travel keyword set and judging whether the first user has travel intention, wherein the travel keyword set is obtained by analyzing past travel information of the first user;

the second analysis module is used for analyzing the browsing content to obtain the travel related information under the condition that the travel intention is judged to exist;

the first screening module is used for screening a plurality of first preset tourism information with a tourism starting point as an area where the first user is located from the database, and performing traversal reasoning on the screened first preset tourism information through a model to obtain a plurality of first preset keyword sets;

the second screening module is used for taking n pieces of first preset tourism information corresponding to first n pieces of first preset keyword sets in the matching degree sequence list of the plurality of first preset keyword sets and the tourism related information as n pieces of tourism push information, and the plurality of first preset keyword sets in the matching degree sequence list are sorted from high to low according to the matching degree;

the tourism attack and mitigation information generation module is used for associating n pieces of tourism push information with the geographical positions of n second users one by one to obtain n groups of tourism combination information, generating n pieces of tourism attack and mitigation information according to the area of the first user and the n groups of tourism combination information, wherein each group of tourism combination information is associated with each piece of tourism attack and mitigation information, each piece of tourism attack and mitigation information comprises a tourism route, each tourism route passes through a preset area, and each preset area comprises the geographical position of the second user in the tourism combination information associated with the tourism attack and mitigation information;

and the pushing module is used for pushing the n pieces of travel strategy information to the associated n pieces of second users respectively.

The application may be further configured in a preferred example to: the first analysis module specifically includes:

the past travel information acquisition unit is used for acquiring a plurality of past travel information of the user;

the simulated travel information generating unit is used for generating a plurality of pieces of simulated travel information according to each piece of past travel information of the user;

the matching unit is used for matching a plurality of corresponding second preset tourism information in a database according to the plurality of simulated tourism information;

the reasoning unit is used for reasoning the plurality of corresponding second preset tourism information input models to obtain a plurality of second preset keyword sets;

and the summarizing unit is used for summarizing the second preset keyword sets to be used as the travel keyword sets.

The present application may be further configured in a preferred example to: the generating of the plurality of simulated travel information according to the past travel information of the user comprises:

the time weather acquisition module is used for acquiring the current solar terms and the current weather of the tour start point and the current solar terms and the current weather of the tour end point according to the past tour information, wherein the current solar terms of the tour start point are first solar terms, and the current weather of the tour start point is first weather; the current solar terms of the travel terminal are second solar terms, and the current weather of the travel terminal is second weather;

the system comprises a travel information generation module, a first information processing module, a second information processing module, a third information processing module and a fourth information processing module, wherein the first information processing module is used for generating first travel information, second travel information, third travel information and fourth travel information, the first travel information comprises a first travel starting point, a first travel destination, a travel solar term and travel weather, the first travel starting point is a travel destination, and the first travel destination is a travel starting point; the second travel information comprises a travel starting point, a travel destination, a first solar term and first weather; the third travel information comprises a travel starting point, a travel destination, a second solar term and second weather; the fourth travel information comprises a travel starting point, a travel destination, a travel solar term and travel weather.

In summary, the present application includes at least one of the following beneficial technical effects:

1. the method comprises the steps that a first user browses webpage contents through a browser or a browsing plug-in attached to chat software, a system periodically obtains the browsing contents of the first user in a first preset time, such as browsing contents in 1 day, and then analyzes the browsing contents according to a travel keyword set so as to judge whether the first user has travel intention; under the condition that the first user has the travel intention, analyzing the browsing content of the first user within a first preset time to obtain travel related information, screening a plurality of first preset travel information with the travel starting point as the area of the first user from a database, wherein the database stores a large amount of preset travel information in advance, and each preset travel information comprises a preset travel starting point, a preset travel destination, a preset travel solar term and preset travel weather; then inputting the screened first preset tourism information into a model respectively for reasoning to obtain a plurality of corresponding first preset keyword sets, then matching the plurality of first preset keyword sets with the tourism related information respectively, sequencing the matching results from high to low to obtain a matching degree sequence list, in addition, obtaining a second user number n of information sent to the first user through a chat interface within a second preset time, wherein the second preset time can be within 1 month, then using n first preset tourism information corresponding to the first n first preset keyword sets in the matching degree sequence list as n pieces of tourism push information, associating the n pieces of tourism push information with the geographical positions of the n second users one by one to obtain n groups of tourism combination information, and then combining the area where the first user is located to obtain n pieces of tourism strategy information, the routes in the n pieces of travel strategy information pass through the geographic positions of the associated second users, then the n pieces of travel strategy information are respectively pushed to the associated n pieces of second users, at most n pieces of travel strategy information can be sent to the first user under the pushing of the at most n pieces of second users, the travel route covers the geographic positions of the second users, the tendency of the second users to push the travel strategy information to the first user is enhanced, and further more accurate travel information and strategy can be pushed to the users;

2. generating a plurality of corresponding simulated tourism information according to each previous tourism information of a user, matching the plurality of simulated tourism information with a plurality of corresponding second preset tourism information in a database, then inputting the plurality of corresponding second preset tourism information into a model for reasoning, further obtaining a plurality of second preset keyword sets, summarizing the second preset keyword sets into a tourism keyword set, wherein each second keyword set is associated with each previous tourism information of the user, expanding new keywords based on the association, and further providing a relatively complete tourism keyword set.

Drawings

FIG. 1 is a flow chart of a method for pushing a travel strategy based on local area characteristics according to an embodiment of the present application;

FIG. 2 is a schematic flow chart illustrating an implementation of the step S2 in the method for pushing a travel strategy based on local area characteristics according to an embodiment of the present application;

FIG. 3 is a block diagram of a travel strategy pushing system based on local area characteristics according to an embodiment of the present application;

FIG. 4 is a block diagram illustrating the units in the first analysis module of the travel strategy pushing system based on the local area characteristics according to an embodiment of the present application.

Detailed Description

The following description of the exemplary embodiments of the present application, taken in conjunction with the accompanying drawings, includes various details of the embodiments of the application for the understanding of the same, which are to be considered exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present application. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

It should be noted that the terms "first", "second", etc. in the present invention are used for distinguishing similar objects, and are not necessarily used for describing a particular order or sequence. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the disclosure described herein are capable of operation in sequences other than those illustrated or otherwise described herein. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure.

In addition, the term "and/or" herein is only one kind of association relationship describing an associated object, and means that there may be three kinds of relationships, for example, a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship, unless otherwise specified.

The travel strategy pushing method based on the local area characteristics of the application is described below with reference to the attached drawings.

Fig. 1 is a schematic flow chart of a travel strategy pushing method based on local area characteristics in an embodiment of the present application, and as shown in fig. 1, the travel strategy pushing method based on local area characteristics includes:

s1, acquiring browsing content of the first user in a first preset time, and sending information to a second user number n of the first user through a chat interface in a second preset time;

the browsing content may be content browsed by the first user through a browser built in the terminal or a third-party browser, or content browsed by travel software such as travel by taking, travel where, pig, hornet, and the like, chat software such as WeChat, QQ, and the like, and the terminal may be an electronic device such as a mobile phone, a tablet computer, a wearable device, and the like.

The browsing content can be character information and image information, and the browsing content can be acquired in a screen shot mode; the first preset time is preset and can be 24h, and is determined according to the browsing content of the user in one day; the second preset time can be set to 30 days, 60 days and the like, the chat interface can be a user chat interface of the chat software, or can be a chat interface attached to other software, and the number of the second users sent to the first user through the chat interface is further acquired.

In an embodiment, a second user is a user who has sent push information to a first user, and a chat interface between the second user and the first user is obtained in a screen hot mode, so that whether the second user sends the push information to the first user is obtained; in another embodiment, the second user is a user for the first user to check the push information of the second user, the chat interface between the second user and the first user may still be obtained in a screenhot manner, and after the second user sends the push information to the first user, in a next preset time span after the first user has the push information sent by the second user in the chat interface, whether the association degree between the browsed content and the push information exceeds a preset threshold value is determined, so as to determine whether the first user checks the push information of the second user.

S2, analyzing the browsing content according to the travel keyword set, and judging whether the first user has travel intention;

the first user selects a first keyword set from the first keyword set, wherein the first keyword set is obtained by analyzing past travel information of the first user;

reasoning and analyzing through a mature TensorFlow-based character analysis model to obtain corresponding character information, and analyzing image information in browsing contents through a mature image analysis model to further infer to obtain character information related to the image, for example, reasoning and analyzing the image with a beach scene to obtain the related character information as 'beach', reasoning and analyzing the image with an ancient city scene to obtain the related character information as 'ancient city', searching for 'umbrella' on a shopping website, browsing related images and the like, reasoning and analyzing to obtain the related character information as 'umbrella' and the like; browsing travel strategies in forum websites, browsing related image materials, character strategies and the like, and obtaining related character information such as 'travel' through inference analysis; reasoning and analyzing the image with the hiking scene to obtain relevant character information such as 'hiking' and the like; then, the text information and the text information related to the image are compared and analyzed through the travel keyword set, a preset number of same or similar words are obtained through approximate analysis, whether the first user has travel intention is judged, the preset number can be 3, namely, when the first user has 3 same or similar words through the approximate analysis, the first user is judged to have the travel intention.

The acquisition of the travel keyword set is obtained by analyzing the past travel information of the user, and specifically includes, in combination with fig. 2:

s21, acquiring a plurality of previous travel information of the user;

each past travel information comprises a corresponding travel starting point, a travel destination, a travel solar term and travel weather, wherein the travel starting point and the travel destination can be obtained through obtaining from a historical record of related travel software, the travel solar terms are distinguished by twenty-four solar terms, the solar term in which most of the travel time of the first user is located is obtained through a calendar correspondingly to serve as the travel solar term, the travel weather is a multi-bit number of weather conditions in the travel, for example, the rainy day in the travel is more, and the rainy day is taken as the travel weather.

S22, generating a plurality of pieces of simulated travel information according to each piece of past travel information of the user;

specifically, the plurality of simulated travel information comprises first travel information, second travel information, third travel information and fourth travel information;

generating a plurality of pieces of simulated travel information according to past travel information of a user, comprising:

acquiring a current solar term and a current weather of a travel starting point and a current solar term and a current weather of a travel ending point according to past travel information, wherein the current solar term of the travel starting point is a first solar term, and the current weather of the travel starting point is a first day; the current solar terms of the travel terminal are second solar terms, and the current weather of the travel terminal is second weather;

The amount of the travel information is increased by doping the current weather and the current solar terms and reversing the travel starting point and the travel finishing point to obtain new simulated travel information, and the current weather and solar terms are fully considered.

S23, matching a plurality of corresponding second preset tourism information in the database according to the plurality of simulated tourism information;

the system comprises a database, a database and a database, wherein a large amount of preset tourism information is stored in the database in advance, and each preset tourism information comprises a preset tourism starting point, a preset tourism destination, a preset tourism solar term and a preset tourism weather; the preset tourism information is obtained by collecting the tourism information of a plurality of users in the past in the tourism software, and a plurality of corresponding second preset tourism information can be matched in the database according to a plurality of simulated tourism information through similarity analysis.

S24, inputting a plurality of corresponding second preset tourism information into the model for reasoning to obtain a plurality of second preset keyword sets;

wherein, the model is obtained by training in the following way:

labeling each travel information sample in the travel information sample training set to label a keyword set of each travel information sample, wherein the keyword set is associated with all or part of information in the travel information sample; and training the neural network through the labeled travel information sample training set to obtain the model. The acquisition of the travel information samples is obtained by collecting travel information of multiple users in the travel software, and the model reasoning accuracy is higher along with the increase of data volume.

Wherein, the keyword set can be part or all of the following keywords: umbrellas, hiking, climbing, vacation, surfing, beach, mountain, luggage, sun protection, parent-child swim, honeymoon, and the like, and are not limited to the above-listed words.

And S25, summarizing the second preset keyword sets to be used as travel keyword sets.

S3, analyzing the browsing content to obtain the travel related information under the condition that the travel intention is judged;

specifically, the travel related information is still obtained by analyzing the browsing content, for example, when the first user browses an umbrella, a backpack, a trunk, a town, and the like, the words are obtained as the travel related information through image information and text information in browsing;

s4, screening a plurality of first preset tourism information with a tourism starting point as the area of the first user from the database, and performing traversal reasoning on the screened first preset tourism information through a model to obtain a plurality of first preset keyword sets;

s5, taking n pieces of first preset tourism information corresponding to the first n pieces of first preset keyword sets in the matching degree sequence list of the first preset keyword sets and the tourism related information as n pieces of tourism push information, and sequencing the first preset keyword sets in the matching degree sequence list from high to low according to the matching degree;

similarity analysis is carried out on each keyword in each first preset keyword set and each keyword in the travel related information, and then the matching degree, namely the similarity, of each first preset keyword set and the travel related information is analyzed; and then generating a sequence table according to the sequence of the matching degree from high to low, and picking the first n pieces of first preset travel information as n pieces of travel push information.

S6, associating n pieces of tourism push information with the geographical positions of n second users one by one to obtain n groups of tourism combination information, generating n pieces of tourism attack information according to the area where the first user is located and the n groups of tourism combination information, wherein each group of tourism combination information is associated with each piece of tourism attack information, each piece of tourism attack information comprises a tourism route, each tourism route is a route passing through a preset area, and the preset area comprises the geographical position where the second user is located in the tourism combination information associated with the tourism attack information;

and S7, pushing the n pieces of travel strategy information to the associated n pieces of second users respectively.

Wherein, a piece of tourism push information is associated with a geographical position of a second user, so as to obtain a group of tourism combination information, for the acquisition of the geographical position of the second user, the terminal positioning information corresponding to the second user identification can be obtained, each group of tourism combination information is combined with the area where the first user is located to generate tourism attack and mitigation information, the area where the first user is located is the local area where the user is located, such as 'city increasing area', 'south mountain area' and the like, each piece of tourism attack and mitigation information comprises a tourism route, the starting position of the tourism route is the area where the first user is located, the ending position of the tourism route is the tourism ending point in the tourism push information, and when path planning is carried out, the tourism route passes through a preset area covering the geographical position where the second user is located, the preset area can be centered on the geographical position where the second user is located, a circular area with a preset radius, for example, the preset value is 3km, which means that the tour route passes through the preset area with the geographical position of the second user as the center and the radius of 3km, so as to improve the power of the second user for pushing the tour route to the first user; in addition, the travel strategy information can also comprise accompanying sending of relevant strategies crawled from various travel websites and forums.

The application also provides a tourism strategy push system based on local region characteristic, refer to fig. 3, include:

the first analysis module is used for analyzing the browsing content according to the travel keyword set and judging whether the first user has travel intention, wherein the travel keyword set is obtained by analyzing the past travel information of the first user;

the tourism attack and mitigation information generation module is used for associating n pieces of tourism push information with the geographical positions of n second users one by one to obtain n groups of tourism combination information, generating n pieces of tourism attack and mitigation information according to the area of the first user and the n groups of tourism combination information, wherein each group of tourism combination information is associated with each piece of tourism attack and mitigation information, each piece of tourism attack and mitigation information comprises a tourism route, each tourism route passes through a preset area, and the preset area comprises the geographical position of the second user in the tourism combination information associated with the tourism attack and mitigation information;

Referring to fig. 4, the first analysis module specifically includes:

a past travel information acquisition unit for acquiring a plurality of past travel information of a user;

the matching unit is used for matching a plurality of corresponding second preset tourism information in the database according to the plurality of simulated tourism information;

Further, generating a plurality of simulated travel information according to past travel information of the user includes:

the time weather acquisition module is used for acquiring the current solar terms and the current weather of the travel starting point and the current solar terms and the current weather of the travel finishing point according to the past travel information, wherein the current solar terms of the travel starting point are first solar terms, and the current weather of the travel starting point is first weather; the current solar terms of the travel terminal are second solar terms, and the current weather of the travel terminal is second weather;

the system comprises a travel information generation module, a first information processing module, a second information processing module, a third information processing module and a fourth information processing module, wherein the first travel information comprises a first travel starting point, a first travel destination, a travel solar term and travel weather, the first travel starting point is a travel destination, and the first travel destination is a travel starting point; the second travel information comprises a travel starting point, a travel destination, a first solar term and first weather; the third travel information comprises a travel starting point, a travel destination, a second solar term and second weather; the fourth travel information comprises a travel starting point, a travel destination, a travel solar term and travel weather.

For specific definition of the travel strategy pushing system based on the local area characteristic, reference may be made to the above definition of the travel strategy pushing method based on the local area characteristic, and details are not described herein again. The steps of the method for pushing the travel strategy based on the local area characteristics can be wholly or partially realized by software, hardware and a combination thereof.

Various implementations of the systems and techniques described here can be realized in digital electronic circuitry, integrated circuitry, application specific ASICs (application specific integrated circuits), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.

These computer programs (also known as programs, software applications, or code) include machine instructions for a programmable processor, and may be implemented using high-level procedural and/or object-oriented programming languages, and/or assembly/machine languages. As used herein, the terms "machine-readable medium" and "computer-readable medium" refer to any computer program product, apparatus, and/or device (e.g., magnetic discs, optical disks, memory, Programmable Logic Devices (PLDs)) used to provide machine instructions and/or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term "machine-readable signal" refers to any signal used to provide machine instructions and/or data to a programmable processor.

To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.

The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), Wide Area Networks (WANs), and the Internet.

It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present application may be executed in parallel, sequentially, or in different orders, and the present invention is not limited thereto as long as the desired results of the technical solutions disclosed in the present application can be achieved.

The above-described embodiments should not be construed as limiting the scope of the present application. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. The tourism strategy pushing method based on the local region characteristics is characterized by comprising the following steps:

acquiring browsing content of a first user in a first preset time, and sending information to a second user number n of the first user through a chat interface in a second preset time;

2. The local area characteristic-based travel strategy pushing method according to claim 1, wherein the travel keyword set is obtained by analyzing past travel information of the user, and specifically comprises:

acquiring a plurality of past travel information of a user;

3. The local area characteristic-based travel strategy push method of claim 2 wherein a plurality of said simulated travel information comprises a first travel information, a second travel information, a third travel information and a fourth travel information;

the generating of a plurality of simulated travel information according to the past travel information of the user comprises the following steps:

acquiring the current solar terms and the current weather of the tour start point and the current solar terms and the current weather of the tour end point according to the past tour information, wherein the current solar terms of the tour start point are first solar terms, and the current weather of the tour start point is first weather; the current solar terms of the travel terminal are second solar terms, and the current weather of the travel terminal is second weather;

4. The local area characteristics-based travel strategy pushing method according to any one of claims 1-3, wherein said second user is a user who sent a push message to said first user.

5. The local area characteristic-based travel strategy push method according to claim 4, wherein the second user is a user that the first user has viewed the push information of the second user.

6. The method as claimed in claim 1, wherein the predetermined area is a circular area with a radius of a predetermined value and a center of a geographical location where the second user is located.

7. Tourism strategy push system based on local regional characteristics, its characterized in that includes:

8. The local area characteristics-based travel strategy pushing system according to claim 7, wherein said first analyzing module comprises:

9. The local area characteristics-based travel strategy push system according to claim 8 wherein said simulated travel information generating unit comprises: