CN-121980084-A - House source searching method and system based on big data

CN121980084ACN 121980084 ACN121980084 ACN 121980084ACN-121980084-A

Abstract

The invention relates to the technical field of information management, in particular to a house source searching method and system based on big data, wherein the method comprises the steps of determining the basic position of a user according to login information of the user; dividing each basic position to form a corresponding basic area, determining the basic area of each user, dividing the basic area according to the keywords of each user in the basic position to form an input portrait corresponding to the basic area, positioning the keyword description in the search content according to the input portrait, outputting each keyword, and matching the indexes according to the keywords. The method has the advantages that the method for setting the basic area is utilized, the search habit of the room source information and the user group is brought into the room source search engine, the room source information is more comprehensively displayed to the user in a display queue mode, and the problem that the user cannot effectively match with the user requirement due to the fact that the user does not know the room source information of the room source is effectively avoided, and meanwhile the accuracy of the room source search is effectively improved.

Inventors

XUE SHOUNING
HUANG HUOJUN
Zhao Lianduo
QIAO JIANMING
SUN RUI

Assignees

河北志晟信息技术股份有限公司

Dates

Publication Date: 20260505
Application Date: 20260120

Claims (10)

1. A house source searching method based on big data comprises the following steps: building a house source database; forming a plurality of indexes according to the room source information; Matching the index according to the search content, and forming a display queue of the house source information; Wherein when matching the search content, the method further comprises: Determining the basic position of the user according to the login information of the user; Dividing each basic position to form a corresponding basic area; Determining a basic area of each user, and dividing the basic area into input images corresponding to the basic area according to keywords of each user in the basic position; positioning keyword descriptions in the search content in the basic area according to the input portrait; Outputting each keyword, and matching the indexes according to the keywords.
2. The big data based room source searching method according to claim 1, wherein the step of any user searching for the room source information comprises: Determining a basic position of a user; Determining a plurality of keywords of the search content according to the input image of the basic position; determining corresponding index according to key words, and Determining a corresponding search area and a search core; the search area is a basic area corresponding to the house source; The search core is any position which is not more than a preset distance from the search area, and the position is determined by the keywords.
3. The big data based room source searching method according to claim 1, wherein when generating the index, the room source database divides room source information according to the base area and forms an area index set of the base area; for a single basic area, the corresponding area index comprises a plurality of sub-indexes formed according to the keywords of each user in the basic area; Wherein the sub-index corresponds to the keyword.
4. A big data based house source search method according to claim 2 or 3, wherein the step of generating the presentation queue for any user comprises: Determining a basic position and a search area; determining a corresponding region index set according to the search region; determining a plurality of keywords according to the input portrait; and generating a corresponding display queue according to the keywords by sub-indexes of the corresponding basic areas.
5. The big data based room source searching method of claim 4, wherein the presentation queue, when generated, sorts the words according to the word frequency of each keyword corresponding to the input portrait, And when the input portrait is generated, determining word frequency queues of the keywords according to the keywords corresponding to the search instructions of the users in the basic area.
6. The big data based room source searching method of claim 4, wherein the presentation queue, when generated, sorts the words according to the word frequency of each keyword corresponding to the regional index set, wherein, And when the region index set is generated, determining word frequency queues of the keywords according to the keywords corresponding to the searched house sources in the search region.
7. The big data based room source searching method of claim 5 or 6, wherein the word frequency queue is updated at a preset period, wherein, For a single word frequency queue, storing word frequency sequences of keywords corresponding to two continuous preset periods; When the preset period is reached, combining word frequency ordering of the keywords corresponding to the new preset period with word frequency ordering of the keywords corresponding to the previous preset period to generate a new word frequency queue.
8. The big data based room source searching method of claim 7, wherein for any user, determining a maximum number of searches based on the user's search history, determining the user search limit; When any user searches for a single time, and the input times exceed the maximum search times, judging that the user reaches the search limit, and generating the display queue according to the input portrait and the basic area so as to reset the display queue.
9. A big data based room source search system to perform the method of claims 1-8, comprising: a plurality of user terminals; a house source database for storing house source data; A user database for storing user address data; Characterized by further comprising: The area identification module is used for identifying and generating a basic position; The user server is used for forming an input portrait corresponding to the user terminal according to the user database; The house source server is used for forming an area index set according to the search area; And the display server is used for generating a display queue according to the input portrait and the regional index set according to the search content input by the user.
10. The big data based room source search system of claim 9, wherein the user terminal is further provided with a language recognition module for generating a plurality of keywords according to the search content.

Description

House source searching method and system based on big data Technical Field The invention relates to the technical field of information management, in particular to a house source searching method and system based on big data. Background The existing house source searching system is mainly divided into a house searching platform facing consumers and an internal management system serving house property intermediaries. For the house searching platform, the technology tends to directly serve tenants or house purchasers, and the technical emphasis is on improving house searching efficiency and experience. For internal management systems, the technology tends to cover full-flow digital management of house/passenger management, contract finance, OA office, etc. The Chinese patent authorization bulletin number CN117314689B discloses a big data property information processing system based on cloud computing, and relates to the technical field of information processing, and the big data property information processing system comprises the steps of acquiring commute information of a user, confirming an annular target area based on the commute information, confirming a property in the annular target area as an initial recommended property, confirming a good-quality property based on historical browsing information of the user in a first preset condition, confirming an intention property based on historical browsing information of the user in a second preset condition, confirming a screening property candidate set based on the initial recommended property, the good-quality property and the intention property, confirming the number of the property in the screening property candidate set, acquiring historical search records of the user when the number of the property exceeds the first preset number, confirming search keywords, confirming similar values of all property in the screening property candidate set based on the search keywords, confirming a target property from the screening property candidate set, and recommending the target property to the user. The patent has the effect of improving the accuracy of recommending the house source to the user by the house property information platform. CN116883010B discloses an information technology consultation management system based on big data, which comprises an information acquisition module, a demand analysis module, a primary screening analysis module, a secondary screening analysis module, a preferential salesman analysis module, a display terminal and a database. Through collecting basic information corresponding to the current consultant, meanwhile, analyzing trend types of houses corresponding to the current consultant, reliable data support is provided for matching analysis of salesmen corresponding to subsequent consultants, meanwhile, the problem that authenticity and reliability of salesmen are insufficient in the current technology is solved, and a reliable platform is further provided for consultation safety and consultation efficiency corresponding to the current consultant. However, the above method has the following problems: 1. when focus of a user is obtained, searching is carried out according to habit of the user, so that the problems of insufficient house source display and easiness in generation of information cocoons are generated; 2. When the house sources are matched, the real demands of the users cannot be retrieved normally only through the historical search vocabulary of the users, and the problem that effective house sources are difficult to recommend is solved. Disclosure of Invention Therefore, the invention provides a house source searching method based on big data, which is used for solving the problems that in the prior art, when focus of a user is acquired, the house source is searched according to habit of the user, house sources are not fully displayed and information cocoons are easy to generate, and meanwhile, when house sources are matched, the actual demands of the user cannot be normally searched and effective house sources are difficult to recommend only through matching of historical search vocabulary of the user, so that the accuracy of house source search results is reduced. In order to achieve the above object, in one aspect, the present invention provides a house source searching method based on big data, including: building a house source database; forming a plurality of indexes according to the room source information; Matching the index according to the search content, and forming a display queue of the house source information; when matching the search content, the method further comprises the following steps: Determining the basic position of the user according to the login information of the user; Dividing each basic position to form a corresponding basic area; Determining a basic area of each user, and dividing the basic area into input images corresponding to the basic area according to keywords of each user in the bas