CN109377329A

CN109377329A - A kind of source of houses recommended method, device, storage medium and electronic equipment

Info

Publication number: CN109377329A
Application number: CN201811593699.1A
Authority: CN
Inventors: 朱超; 陶海洋; 廖智文; 马文龙; 王潇; 洪定坤
Original assignee: Beijing Time Business Technology Co Ltd
Current assignee: Beijing Youzhuju Network Technology Co Ltd
Priority date: 2018-12-25
Filing date: 2018-12-25
Publication date: 2019-02-22
Anticipated expiration: 2038-12-25
Also published as: CN109377329B

Abstract

The embodiment of the present disclosure discloses a kind of source of houses recommended method, device, storage medium and electronic equipment.This method comprises: filtering out the popular source of houses from source of houses database based on the first preset condition, and the strategy source of houses is determined from source of houses database based on the second preset condition；Wherein, the first preset condition is different from the second preset condition；The initial recommendation source of houses is determined from source of houses database according to user's history behavioral data；Source of houses recommended candidate collection is constructed based on the popular source of houses, the tactful source of houses and the initial recommendation source of houses；According to the weighted value for being respectively the popular source of houses, the tactful source of houses and the distribution of the initial recommendation source of houses, is concentrated from source of houses recommended candidate and determine that target recommends the source of houses, and the target recommendation source of houses is recommended into user.Using the technical solution of the embodiment of the present disclosure, it not only can recommend suitable information of real estate to user, solve the problems, such as that source of houses search efficiency is low, but also can accurately and rapidly meet user to the real demand of the source of houses, promote the conversion ratio that user searches for the source of houses.

Description

A kind of source of houses recommended method, device, storage medium and electronic equipment

Technical field

The present embodiments relate to field of computer technology more particularly to a kind of source of houses recommended methods, device, storage medium And electronic equipment.

Background technique

Currently, house prosperity transaction is more and more frequent in life, with the development of internet technology, occur more and more Second-hand house transaction platform Internet-based.During second-hand house transaction, many user's initial stages of purchasing house are not purchased explicitly Room target needs to obtain the source of houses for being suitble to oneself demand by the recommendation of transaction platform, humongous search is avoided to cause the wave of time Take.

However, real estate trade platform on the market is main to recommend according to user's positioning when recommending the source of houses at present, or Person recommends the source of houses according to the record of the historical viewings source of houses of user for user.Above-mentioned source of houses recommended method, no normal direction user push Suitable information of real estate, it is difficult to meet the real demand of user.

Summary of the invention

The embodiment of the present disclosure provides a kind of source of houses recommended method, device, storage medium and electronic equipment, can push away to user Recommend suitable information of real estate.

In a first aspect, the embodiment of the present disclosure provides a kind of source of houses recommended method, comprising:

The popular source of houses is filtered out from source of houses database based on the first preset condition, and based on the second preset condition from described The strategy source of houses is determined in source of houses database；Wherein, first preset condition is different from second preset condition；

The initial recommendation source of houses is determined from the source of houses database according to user's history behavioral data；

Source of houses recommended candidate collection is constructed based on the popular source of houses, the tactful source of houses and the initial recommendation source of houses；

According to the respectively described popular source of houses, the tactful source of houses and the weighted value of initial recommendation source of houses distribution, from the source of houses Recommended candidate, which is concentrated, determines that target recommends the source of houses, and the target recommendation source of houses is recommended user.

In above scheme, optionally, based on the first preset condition filtered out from source of houses database the popular source of houses it Before, further includes:

Obtain in the source of houses database with the matched target source of houses in the city of the user；

And the popular source of houses is filtered out from source of houses database based on the first preset condition, including at least one of following:

According to area belonging to each target source of houses, the first source of houses quantity that each area includes is counted, determines institute The objective area that the first source of houses quantity is greater than the first preset quantity threshold value is stated, the corresponding source of houses in the objective area is determined as heat Gatekeeper source；

According to the price of each target source of houses, the second source of houses number that each preset source of houses price range includes is counted Amount determines that second source of houses quantity is greater than the target source of houses price range of the second preset quantity threshold value, by the target source of houses The corresponding source of houses of price range is determined as the popular source of houses；

User is obtained to the history number of clicks of the target source of houses each in the source of houses database, by the history point The source of houses that number is hit greater than preset times threshold value is determined as the popular source of houses.

In above scheme, optionally, according to user's history behavioral data, determination is initially pushed away from the source of houses database Recommend the source of houses, comprising:

According to user's history behavioral data be the source of houses database involved in each source of houses feature corresponding room is set Source feature weight；

First object source of houses feature is determined from each source of houses feature according to the source of houses feature weight；Wherein, described The corresponding source of houses feature weight of one target source of houses feature is greater than the first default weight threshold；

Searched from the source of houses database with the first object source of houses of the first object source of houses characteristic matching, and by institute The first object source of houses is stated as the initial recommendation source of houses.

In above scheme, optionally, searched and the first object source of houses feature from the source of houses database The first object source of houses matched, and using the first object source of houses as the initial recommendation source of houses after, comprising:

Obtain newest user's history behavioral data；

According to default weight adjusting step, based on the newest user's history behavioral data to each source of houses feature Corresponding source of houses feature weight is adjusted；

The second target source of houses feature is determined from each source of houses feature according to source of houses feature weight adjusted；Wherein, institute The corresponding source of houses feature weight of the second target source of houses feature is stated greater than the second default weight threshold；

The second target source of houses with the second target source of houses characteristic matching is searched, from the source of houses database to update The initial recommendation source of houses.

In above scheme, optionally, the source of houses feature includes city, districts under city administration, commercial circle, source of houses affiliated subdistrict, family At least one of type, area, floor, direction and price.

In above scheme, optionally, the target recommendation source of houses is recommended into user, comprising:

The source of houses is recommended to form the source of houses recommendation list target；

The source of houses recommendation list is recommended into user.

In above scheme, optionally, interval shows that the target is recommended in the source of houses in the source of houses recommendation list The popular source of houses, the tactful source of houses and the initial recommendation source of houses, wherein the target for belonging to the popular source of houses recommends the continuous quantity of the source of houses to be less than Third preset quantity threshold value, the target for belonging to the tactful source of houses are recommended the continuous quantity of the source of houses less than the 4th preset quantity threshold value, are belonged to Recommend the continuous quantity of the source of houses less than the 5th preset quantity threshold value in the target of the initial recommendation source of houses.

Second aspect, the embodiment of the present disclosure additionally provide a kind of source of houses recommendation apparatus, which includes:

The popular source of houses and tactful source of houses determining module, for filtering out heat from source of houses database based on the first preset condition Gatekeeper source, and the strategy source of houses is determined from the source of houses database based on the second preset condition；Wherein, first preset condition It is different from second preset condition；

Initial recommendation source of houses determining module, for being determined just from the source of houses database according to user's history behavioral data Begin to recommend the source of houses；

Source of houses recommended candidate collection constructs module, for based on the popular source of houses, the tactful source of houses and initial recommendation source of houses structure Building source recommended candidate collection；

Target recommends source of houses determining module, for according to the respectively described popular source of houses, the tactful source of houses and initial recommendation room The weighted value of source distribution is concentrated from the source of houses recommended candidate and determines that target recommends the source of houses, and the target recommendation source of houses is pushed away It recommends to user.

In above scheme, optionally, the source of houses recommendation apparatus further include:

Target source of houses determining module, is used for, and the popular source of houses is being filtered out from source of houses database based on the first preset condition Before, obtain in the source of houses database with the matched target source of houses in the city of the user；

In above scheme, optionally, the initial recommendation source of houses determining module is specifically used for:

In above scheme, optionally, source of houses recommendation apparatus further include:

User's history behavioral data obtains module, for searching and the first object room from the source of houses database The first object source of houses of source characteristic matching, and using the first object source of houses as the initial recommendation source of houses after, obtain it is newest User's history behavioral data；

Source of houses feature weight adjusts module, for being based on the newest user's history according to default weight adjusting step Behavioral data is adjusted the corresponding source of houses feature weight of each source of houses feature；

Target source of houses characteristic determination module, for being determined from each source of houses feature according to source of houses feature weight adjusted Second target source of houses feature；Wherein, the corresponding source of houses feature weight of the second target source of houses feature is greater than the second default weight Threshold value；

Initial recommendation source of houses update module, for being searched and the second target source of houses feature from the source of houses database The matched second target source of houses, to update the initial recommendation source of houses.

In above scheme, optionally, the target recommends source of houses recommending module to be specifically used for:

The source of houses recommendation list is recommended into user.

The third aspect, the embodiment of the present disclosure additionally provide a kind of computer readable storage medium, are stored thereon with computer Program realizes the source of houses recommended method as described in the embodiment of the present application when the program is executed by processor.

Fourth aspect, the embodiment of the present application provide a kind of electronic equipment, comprising:

One or more processors；

Memory, for storing one or more programs,

When one or more of programs are executed by one or more of memories, so that one or more of processing Device realizes the source of houses recommended method as described in the embodiment of the present application.

The embodiment of the present disclosure provides a kind of source of houses suggested design, by being sieved from source of houses database based on the first preset condition Select the popular source of houses, and determine the strategy source of houses from source of houses database based on the second preset condition, wherein the first preset condition with Second preset condition is different, and the initial recommendation source of houses is determined from source of houses database according to user's history behavioral data, then base Source of houses recommended candidate collection is constructed in the popular source of houses, the tactful source of houses and the initial recommendation source of houses, it is last according to the respectively popular source of houses, plan The slightly source of houses and the weighted value of initial recommendation source of houses distribution, concentrate from source of houses recommended candidate and determine that target recommends the source of houses, and by target The source of houses is recommended to recommend user.Using the technical solution of the embodiment of the present disclosure, pass through the hot topic filtered out from source of houses database The source of houses recommended candidate of the source of houses, the tactful source of houses and the building of the initial recommendation source of houses is concentrated, and determines the final source of houses recommended to the user, no It only can recommend suitable information of real estate to user, solve the problems, such as that source of houses search efficiency is low, but also can be accurately and rapidly Meet user to the real demand of the source of houses, promotes the conversion ratio that user searches for the source of houses.

Detailed description of the invention

Fig. 1 is a kind of flow chart of source of houses recommended method provided in an embodiment of the present invention；

Fig. 2 is the flow chart for another source of houses recommended method that the embodiment of the present disclosure provides；

Fig. 3 is the flow chart for another source of houses recommended method that the embodiment of the present disclosure provides；

Fig. 4 is a kind of structural schematic diagram for source of houses recommendation apparatus that the embodiment of the present disclosure provides；

Fig. 5 is the structural block diagram for a kind of electronic equipment that the embodiment of the present disclosure provides.

Specific embodiment

The present invention is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched The specific embodiment stated is used only for explaining the present invention rather than limiting the invention.It also should be noted that in order to just Only the parts related to the present invention are shown in description, attached drawing rather than entire infrastructure.

Fig. 1 is a kind of flow chart of source of houses recommended method provided in an embodiment of the present invention, and this method can be recommended by the source of houses Device executes, which can be made of hardware and/or software, and can generally integrate in the electronic device.As shown in Figure 1, should Method may include steps of:

Step 110 is filtered out the popular source of houses from source of houses database based on the first preset condition, and is based on the second default item Part determines the strategy source of houses from the source of houses database.

Wherein, first preset condition is different from second preset condition.

It is understood that including the information of real estate in each city in the whole nation in source of houses database.In the present embodiment, base The popular source of houses is filtered out from source of houses database in the first preset condition, and is based on the second preset condition from the source of houses database In filter out the tactful source of houses, wherein the popular source of houses can be understood as the more popular city of present period, hot region the source of houses or By the source of houses that most users are paid close attention to or favored, the tactful source of houses is understood that recommend for the source of houses formulated according to current business demand Strategy, and with the matched source of houses of Generalization bounds.It illustratively, is featured small family according to the source of houses Generalization bounds that business demand is formulated The source of houses of type (such as a room or 2 bedrooms or floor space are less than preset area threshold value), then screen from source of houses database The small apartment source of houses out is as the tactful source of houses.It for another example, is the featured area B of the city A, position according to the source of houses Generalization bounds that business demand is formulated In the source of houses of c-d price range, then the area B of the city A is filtered out from source of houses database, the source of houses positioned at c-d price range is as plan The slightly source of houses.It should be noted that the present embodiment does not limit the second preset condition for determining the strategy source of houses from source of houses database It is fixed.

Optionally, the first preset condition is being based on before filtering out the popular source of houses in source of houses database, further includes: obtain In the source of houses database with the matched target source of houses in the city of the user；And the first preset condition is based on from source of houses number According to the popular source of houses is filtered out in library, including at least one of following: according to area belonging to each target source of houses, statistics is each The first source of houses quantity that area includes determines that first source of houses quantity is greater than the objective area of the first preset quantity threshold value, will The corresponding source of houses in the objective area is determined as the popular source of houses；According to the price of each target source of houses, count each default Source of houses price range the second source of houses quantity for including, determine that second source of houses quantity is greater than the mesh of the second preset quantity threshold value Source of houses price range is marked, the corresponding source of houses of the target source of houses price range is determined as the popular source of houses；User is obtained to described The history number of clicks is greater than preset times threshold value by the history number of clicks of each target source of houses in source of houses database The source of houses be determined as the popular source of houses.

Illustratively, due to including the magnanimity source of houses in each city in the whole nation in source of houses database, and for some user For, what he was more concerned about is city where oneself or the source of houses in oneself positioning city, therefore, obtained from source of houses database with The matched target source of houses in the city of user, wherein the city of user can be the city that user positions by searching for the APP of the source of houses (city of oneself concern in oneself place city or user's positioning of such as user's positioning), is then based on the first preset condition from room The popular source of houses is filtered out in the target source of houses in source database.

Wherein, the present embodiment to the specific mode for determining the popular source of houses without limitation, can be set according to actual needs It sets.Illustratively, the popular source of houses is filtered out from the target source of houses in source of houses database based on the first preset condition, including following At least one of:

(1) area according to belonging to each target source of houses counts the first source of houses quantity that each area includes, determines first Source of houses quantity is greater than the objective area of the first preset quantity threshold value, and the corresponding source of houses in objective area is determined as the popular source of houses.

Wherein, area belonging to each target source of houses includes each districts under city administration or each commercial circle.Illustratively, each target Area belonging to the source of houses includes tetra- districts under city administration A, E, F and G, then the target room that statistics tetra- districts under city administration A, E, F and G include respectively The source of houses quantity in source, as the first source of houses quantity.The first preset quantity threshold value will be greater than in above-mentioned each first source of houses quantity The target source of houses that districts under city administration include is as the popular source of houses.For example, the source of houses quantity for the target source of houses that the districts under city administration E include is greater than first The target source of houses that the districts under city administration E include then is determined as the popular source of houses by preset quantity threshold value.Wherein, the first preset quantity threshold value can To be set according to user demand, the mean value for the first source of houses quantity that such as can include using each area is as the first preset quantity Threshold value.

(2) according to the price of each target source of houses, the second source of houses number that each preset source of houses price range includes is counted Amount determines that the second source of houses quantity is greater than the target source of houses price range of the second preset quantity threshold value, by target source of houses price range The corresponding source of houses is determined as the popular source of houses.

Wherein, each target source of houses has corresponding price, according to the price of each target source of houses, counts each preset The source of houses quantity for the target source of houses that source of houses price range includes, as the second source of houses quantity.For example, preset source of houses price range For a-b, b-c, c-d, c-e, wherein a <b < d < e then counts a-b, b-c, c-d respectively, and tetra- source of houses price ranges of c-e include The target source of houses the second source of houses quantity, will in above-mentioned each second source of houses quantity be greater than the second preset quantity threshold value source of houses valence The target source of houses that lattice section includes is as the popular source of houses.For example, the source of houses for the target source of houses that this source of houses price range of b-c includes Quantity is greater than the second preset quantity threshold value, then the target source of houses of b-c this source of houses price range is determined as the popular source of houses.Its In, the second preset quantity threshold value can be set according to user demand, such as can include by each source of houses price range second The mean value of source of houses quantity is as the second preset quantity threshold value.

It should be noted that the present embodiment to the size relation of the first preset quantity threshold value and the second preset quantity threshold value not It limits, wherein the first preset quantity threshold value can be greater than the second preset quantity threshold value, and the first preset quantity threshold value can be less than Second preset quantity threshold value, the first preset quantity threshold value can also be identical as the second preset quantity threshold value.

(3) user is obtained to the history number of clicks of the target source of houses each in source of houses database, history number of clicks is big It is determined as the popular source of houses in the source of houses of preset times threshold value.

Wherein, when each user browses the source of houses in source of houses database, oneself interested source of houses click can be checked. Illustratively, all users are obtained to the history number of clicks of the target source of houses each in source of houses database, by history number of clicks The source of houses greater than preset times threshold value is determined as the popular source of houses.It is understood that history number of clicks is greater than preset times threshold The source of houses of value is the source of houses that most users are more paid close attention to, therefore such source of houses can be determined as to the popular source of houses.

It optionally, can also be silent in source of houses database based on information of real estate when user uses the source of houses to search for APP for the first time Recognize sequence, the source of houses of data will be set as the popular source of houses.

Step 120 determines the initial recommendation source of houses according to user's history behavioral data from source of houses database.

Illustratively, user's history behavioral data may include user the corresponding page residence time of information of real estate, The correlations such as the number clicked and check the number of information of real estate, collect the number of information of real estate and make a phone call inquiry information of real estate At least one of data.Wherein, the initial recommendation source of houses is determined from source of houses database according to user's history behavioral data, it can be with It comprises determining that the corresponding user's history behavioral data of each source of houses in source of houses database, and counts corresponding user's history behavior The data volume for including in data, e.g., certain user's history behavioral data include clicking the number for checking information of real estate, collection source of houses letter The number of breath and the number for making a phone call inquiry information of real estate then check number, the collection source of houses letter of information of real estate to click The number of breath and the number for making a phone call inquiry information of real estate carry out summation operation, using operation result as user's history behavior The data volume for including in data.Preset data amount will be greater than comprising the data volume in user's history behavioral data in source of houses database The source of houses of threshold value is determined as the initial recommendation source of houses.Optionally, it is determined just from source of houses database according to user's history behavioral data Begin to recommend the source of houses, may include: to count user in source of houses database to make a phone call the number for inquiring each information of real estate, will dial The source of houses that telephone questionnaire number is greater than default inquiry number is determined as the initial recommendation source of houses.It should be noted that the present embodiment pair Initial recommendation source of houses concrete mode is determined without limitation from source of houses database according to user's history behavioral data.

Step 130 constructs source of houses recommended candidate collection based on the popular source of houses, the tactful source of houses and the initial recommendation source of houses.

In the present embodiment, it is determined to the determining popular source of houses of step 110 and the tactful source of houses and by step 120 first Begin that the source of houses is recommended to be summarized, generates source of houses recommended candidate collection.Wherein it is determined that the popular source of houses, the tactful source of houses and initial recommendation The popular source of houses, the tactful source of houses and initially may be belonged to simultaneously in the source of houses comprising one or more same sources of houses, i.e., a certain source of houses Recommend any two kinds in the source of houses or a certain source of houses belongs to the popular source of houses, the tactful source of houses and the initial recommendation source of houses simultaneously.Cause This, summarizes generation source of houses recommended candidate collection after can carrying out duplicate removal processing to the popular source of houses, the tactful source of houses and the initial recommendation source of houses again.

Step 140, the weighted value distributed according to the respectively described popular source of houses, the tactful source of houses and the initial recommendation source of houses, from The source of houses recommended candidate, which is concentrated, determines that target recommends the source of houses, and the target recommendation source of houses is recommended user.

It illustratively, can in advance be respectively that the popular source of houses, the tactful source of houses and initial recommendation source of houses three classes distribute corresponding power Weight values, wherein the weighted value for the distribution of the three classes source of houses may be the same or different, weight of the present embodiment to the three classes source of houses The size of value is without limitation.Wherein, source of houses type (the popular source of houses, the tactful source of houses and the initial recommendation room that can be more concerned about for user One or both of source) the biggish weighted value of distribution, for example, being used in the popular source of houses, the tactful source of houses and the initial recommendation source of houses Family focuses more on the current most popular popular source of houses, secondly, comparing the tactful source of houses that concern is promoted mainly according to business demand, relatively not It is that when paying close attention to very much the initial recommendation source of houses, 0.5 can be set by the weighted value of the popular source of houses, set the weighted value of the tactful source of houses to 0.3, and 0.2 is set by the weighted value of the initial recommendation source of houses.

In the present embodiment, 100 sets of hot topic sources of houses, 80 sets of tactful rooms are filtered out from source of houses database by step 110 50 sets of initial recommendation sources of houses are determined in source by step 120 from source of houses database, if the popular source of houses, the tactful source of houses and just Begin to recommend not repeating the identical source of houses in the source of houses, be then based on the above-mentioned three classes source of houses, the source of houses recommended candidate of building concentrates packet altogether Containing 230 sets of sources of houses.Illustratively, the respectively popular source of houses, the tactful source of houses and the weighted value of initial recommendation source of houses distribution are setting It is 0.5,0.3,0.2, then concentrate determining target to recommend the source of houses from above-mentioned source of houses recommended candidate includes 84 (84=100*0.5+ altogether It 80*0.3+50*0.2) covers, wherein this 84 sets targets are recommended in sources of houses comprising 50 sets hot topic sources of houses, 24 sets of strategy sources of houses and 10 sets The initial recommendation source of houses.Then, the source of houses is recommended to recommend user this 84 sets of targets, such as by this 84 sets of target sources of houses with the shape of list Formula is shown in user and uses in the information of real estate inquiry APP of mobile terminal.

Optionally, the popular source of houses screened from source of houses database by step 110 is arranged according to source of houses popular degree Sequence, more source of houses such as user's history number of clicks, the source of houses is more popular or source of houses price is lower, and the source of houses is more popular, also Alternatively, area belonging to the source of houses is bustlinier, the affiliated area traffic of the source of houses is more convenient, and the source of houses is more popular.Likewise, passing through step 110 The tactful source of houses filtered out from source of houses database can also be ranked up according to certain sequence, such as using the source of houses of small apartment as plan The slightly source of houses can then sort according to the ascending sequence of the area of the source of houses.And for being sieved from source of houses database by step 120 The initial recommendation source of houses selected can be then ranked up according to comprising the sequence of user's history behavioral data from more to less.Then in root According to the weighted value for being respectively the popular source of houses, the tactful source of houses and the distribution of the initial recommendation source of houses, is concentrated from source of houses recommended candidate and determine mesh When mark recommends the source of houses, can it sort in the popular source of houses, the tactful source of houses and the initial recommendation source of houses near the preceding source of houses as target Recommend the source of houses.

It should be noted that the present embodiment to the execution sequence of step 110 and step 120 without limitation, step can be first carried out Rapid 110, then execute step 120；Step 120 can also be first carried out, then executes step 110, can also be performed simultaneously step 110 and step 120。

The source of houses recommended method that the embodiment of the present disclosure provides, by being screened from source of houses database based on the first preset condition The popular source of houses out, and determine the strategy source of houses from source of houses database based on the second preset condition, wherein the first preset condition and the Two preset conditions are different, and the initial recommendation source of houses is determined from source of houses database according to user's history behavioral data, are then based on The popular source of houses, the tactful source of houses and the initial recommendation source of houses construct source of houses recommended candidate collection, last according to the respectively popular source of houses, strategy The source of houses and the weighted value of initial recommendation source of houses distribution, concentrate from source of houses recommended candidate and determine that target recommends the source of houses, and target is pushed away It recommends the source of houses and recommends user.Using the technical solution of the embodiment of the present disclosure, by from the popular source of houses in source of houses database, strategy The source of houses and the source of houses recommended candidate of initial recommendation source of houses building are concentrated, and determine the final source of houses recommended to the user, not only can be to User recommends suitable information of real estate, solves the problems, such as that source of houses search efficiency is low, but also can accurately and rapidly meet user To the real demand of the source of houses, the conversion ratio that user searches for the source of houses is promoted.

Fig. 2 is the flow chart for another source of houses recommended method that the embodiment of the present disclosure provides.The present embodiment is with above-mentioned implementation Specifically optimized based on each optinal plan in example.As shown in Fig. 2, this method comprises the following steps:

Step 210 is filtered out the popular source of houses from source of houses database based on the first preset condition, and is based on the second default item Part determines the strategy source of houses from the source of houses database.

Wherein, first preset condition is different from second preset condition.

Step 220, according to user's history behavioral data be source of houses database involved in the setting of each source of houses feature correspond to Source of houses feature weight.

Optionally, the source of houses feature include city, districts under city administration, commercial circle, source of houses affiliated subdistrict, house type, area, floor, At least one of direction and price.It in the present embodiment, is involved in source of houses database according to user's history behavioral data Each source of houses feature corresponding source of houses feature weight is set comprising the more source of houses feature of user's history behavioral data, Source of houses feature weight for its distribution is bigger, alternatively, the more interested source of houses of user determined according to user's history behavioral data Feature, the source of houses feature weight for source of houses feature distribution are bigger.It will such as be clicked in user's history behavioral data and check that the source of houses is believed The number of breath or the number for making a phone call inquiry information of real estate, as measurement user to the mark of each source of houses feature interest level Standard, click check that number is more, illustrate that user is interested in the source of houses feature for including in corresponding information of real estate, makes a phone call It inquires that number is more, illustrates that user is interested in the source of houses feature for including in corresponding information of real estate.

Illustratively, source of houses feature involved in source of houses database includes three category feature of districts under city administration, direction and price, In, districts under city administration are related to tetra- areas A, B, C and D, and towards the direction of east, south, west, north four is related to, price is related to a-b, b-c And tri- price ranges of c-d.By taking this source of houses feature of districts under city administration as an example, count respectively and room involved in tetra- areas A, B, C and D The source of houses that the associated user's history behavioral data in source, such as statistics and tetra- areas A, B, C and D are related to is associated to make a phone call inquiry time Several namely counting user makes a phone call inquiry number to the source of houses in tetra- areas A, B, C and D, wherein makes a phone call inquiry number More, the source of houses feature weight in corresponding districts under city administration is arranged bigger.For example, room of the user of statistics to tetra- areas A, B, C and D The inquiry number of making a phone call in source is respectively 1000 times, 300 times, 500 times, 200 times, then can be weighed the source of houses feature in the districts under city administration A Weight is 0.5, is 0.15 by the source of houses feature weight in the districts under city administration B, is 0.25 by the source of houses feature weight in the districts under city administration C, by the districts under city administration D Source of houses feature weight be 0.1.Likewise, being counted and the direction of east, south, west, north four respectively for towards this source of houses feature The related associated user's history behavioral data of the source of houses, and, towards associated user's history behavioral data, be according to each Corresponding source of houses feature weight is arranged in each direction.And for this source of houses feature of price, statistics and a-b, b-c and c-d respectively The associated user's history behavioral data of the source of houses involved in three price ranges, and according to the associated user of each price range Corresponding source of houses feature weight is arranged for each price range in historical behavior data.

Step 230 determines first object source of houses feature according to the source of houses feature weight from each source of houses feature.

Wherein, the corresponding source of houses feature weight of the first object source of houses feature is greater than the first default weight threshold.

In the present embodiment, the source of houses feature weight being arranged according to step 220 determines the first mesh from each source of houses feature Source of houses feature is marked, the source of houses feature that source of houses feature weight is greater than the first default weight threshold is such as determined as target source of houses feature. Illustratively, for this source of houses feature of districts under city administration, the source of houses feature weight in tetra- areas A, B, C and D is respectively 0.5,0.15, 0.25,0.1；For towards this source of houses feature, the source of houses feature weight of the direction of east, south, west, north four is respectively 0.3,0.4, 0.2,0.1；For this source of houses feature of price, the source of houses feature weight of a-b, b-c and tri- price ranges of c-d is respectively 0.6, 0.35,0.15.If the first default weight threshold be 0.3, by the districts under city administration A, the Southern Dynasties to and a-b, b-c (namely a-c) price area Between be used as first object source of houses feature.

Step 240 is searched and the first object room of the first object source of houses characteristic matching from the source of houses database Source, and using the first object source of houses as the initial recommendation source of houses.

Illustratively, from source of houses database search with the districts under city administration A, the Southern Dynasties to and a-b, b-c (namely a-c) price range The first object source of houses of these first object source of houses characteristic matchings, as the initial recommendation source of houses.Namely it is sieved in source of houses database It selects and is located at the districts under city administration A, be oriented south and price is located at the source of houses of a-c price range as the initial recommendation source of houses.

Step 250 constructs source of houses recommended candidate collection based on the popular source of houses, the tactful source of houses and the initial recommendation source of houses.

Step 260, the weighted value distributed according to the respectively described popular source of houses, the tactful source of houses and the initial recommendation source of houses, from The source of houses recommended candidate, which is concentrated, determines that target recommends the source of houses, and the target recommendation source of houses is recommended user.

It should be noted that the present embodiment to the execution sequence of step 210 and step 220-240 without limitation, can first hold Row step 210, then execute step 220-240；Step 220-240 can also be first carried out, then executes step 210, can be also performed simultaneously Step 210 and step 220-240.

The technical solution of the present embodiment, according to user's history behavioral data be source of houses database involved in each source of houses it is special Corresponding source of houses feature weight is arranged in sign, and determines that the first object source of houses is special from each source of houses feature according to source of houses feature weight Sign, wherein the corresponding source of houses feature weight of first object source of houses feature is greater than the first default weight threshold, finally from source of houses data The first object source of houses with first object source of houses characteristic matching is searched in library, and using the first object source of houses as initial recommendation room Source may be implemented to determine the target source of houses feature in each source of houses feature according to user's history behavioral data, and according to target room Source feature filters out the matched source of houses as the initial recommendation source of houses from source of houses database, and determining initial recommendation room can be improved The matching degree in source and user's history behavioral data, so that the initial recommendation source of houses filtered out is more able to satisfy user demand.

In some embodiments, the with the first object source of houses characteristic matching is being searched from the source of houses database The one target source of houses, and using the first object source of houses as the initial recommendation source of houses after, comprising: obtain newest user's history row For data；According to default weight adjusting step, based on the newest user's history behavioral data to each source of houses feature Corresponding source of houses feature weight is adjusted；The second mesh is determined from each source of houses feature according to source of houses feature weight adjusted Mark source of houses feature；Wherein, the corresponding source of houses feature weight of the second target source of houses feature is greater than the second default weight threshold；From Searched in the source of houses database with the second target source of houses of the second target source of houses characteristic matching, described initially pushed away with updating Recommend the source of houses.The advantages of this arrangement are as follows newest user's history behavioral data, and root can be obtained after preset time The source of houses feature weight for the setting of each source of houses feature is readjusted according to the newest user's history behavioral data, thus further The initial recommendation source of houses is updated, so that the initial recommendation source of houses determined from source of houses database is more matched with user behavior data, more It is able to satisfy user demand.

Illustratively, over time, the source of houses in source of houses database is constantly browsed due to user, can make with The relevant user's history behavioral data of the source of houses can be constantly updated, in order to ensure according to user's history behavioral data from source of houses database The accuracy and timeliness of the initial recommendation source of houses of middle determination obtain newest user's history behavioral data.Wherein, newest use Family historical behavior data not only may include the associated user's history behavioral data of the first object source of houses determined with step 240, Further include in source of houses database in addition to the first object source of houses the associated user's history behavioral data of other sources of houses.According to default power Recanalization step-length is adjusted the corresponding source of houses weight of each source of houses feature based on newest user's history behavioral data.Show Example property, by taking this source of houses feature of districts under city administration as an example, statistics and the source of houses involved in tetra- areas A, B, C and D are associated most respectively The source of houses that new user's history behavioral data, such as statistics are related to tetra- areas A, B, C and D is associated newest to make a phone call inquiry Number.For example, the user of statistics is respectively 1000 to the newest inquiry number of making a phone call of the source of houses in tetra- areas A, B, C and D Secondary, 500 times, 800 times, 700 times, can be by the source of houses feature in tetra- areas A, B, C and D if default weight adjusting step is 0.06 Weight is adjusted to 0.44,0.15,0.25,0.16 by original 0.5,0.15,0.25,0.1.Wherein, it is set for each source of houses feature Fixed weight adjusting step can be the same or different.

Illustratively, for this source of houses feature of districts under city administration, tetra- areas A, B, C and D source of houses feature weight adjusted point It Wei not 0.44,0.15,0.25,0.16；For towards this source of houses feature, east, south, west, north four is towards the source of houses adjusted Feature weight is respectively 0.4,0.25,0.2,0.15；For this source of houses feature of price, a-b, b-c and tri- price ranges of c-d Source of houses feature weight be respectively 0.3,0.2,0.5.If the first default weight threshold is 0.24, the districts under city administration A or the city C are had jurisdiction over Area, east towards or the Southern Dynasties to and a-b, c-d price range as the second target source of houses feature.Then it is searched from source of houses database With the districts under city administration A or the districts under city administration C, east towards or the Southern Dynasties to and a-b, c-d price range these the second target source of houses characteristic matchings The second target source of houses, as the initial recommendation source of houses.Namely it is filtered out in source of houses database positioned at the districts under city administration A or the districts under city administration C, court Xiang Weidong or south and price are located at the source of houses of a-b or c-d price range as the second target source of houses, and are based on the second target source of houses Update the above-mentioned initial recommendation source of houses.

It should be noted that the present embodiment to the size relation of the first default weight threshold and the second default weight threshold not It limits, wherein the first default weight threshold can be greater than the second default weight threshold, might be less that the second default weight threshold Value, can also be equal with the second default weight threshold.

Fig. 3 is the flow chart for another source of houses recommended method that the embodiment of the present disclosure provides.The present embodiment is with above-mentioned implementation Specifically optimized based on each optinal plan in example.As shown in figure 3, this method comprises the following steps:

Step 310 is filtered out the popular source of houses from source of houses database based on the first preset condition, and is based on the second default item Part determines the strategy source of houses from the source of houses database.

Wherein, first preset condition is different from second preset condition；

Step 320, according to user's history behavioral data be source of houses database involved in the setting of each source of houses feature correspond to Source of houses feature weight.

Step 330 determines first object source of houses feature according to the source of houses feature weight from each source of houses feature.

Step 340 is searched and the first object room of the first object source of houses characteristic matching from the source of houses database Source, and using the first object source of houses as the initial recommendation source of houses.

Step 350 constructs source of houses recommended candidate collection based on the popular source of houses, the tactful source of houses and the initial recommendation source of houses；

Step 360, the weighted value distributed according to the respectively described popular source of houses, the tactful source of houses and the initial recommendation source of houses, from The source of houses recommended candidate, which is concentrated, determines that target recommends the source of houses.

The target is recommended the source of houses to form source of houses recommendation list by step 370.

Illustratively, by step 360 from source of houses recommended candidate concentrate determining target recommend the source of houses include the popular source of houses, Determining each target is recommended the source of houses to arrange one by one according to the form of list by the tactful source of houses and the initial recommendation source of houses three classes source of houses Column form source of houses recommendation list.It wherein, can be at random to each during recommending the source of houses to form the source of houses recommendation list target Target recommends the source of houses to be arranged, can also be (popular in the way of any permutation and combination sequence of the classification of the above-mentioned three classes source of houses The sequence of the source of houses, the tactful source of houses and the initial recommendation source of houses；The sequence of the popular source of houses, the initial recommendation source of houses and the tactful source of houses；Strategy The sequence of the source of houses, the popular source of houses and the initial recommendation source of houses；The sequence of the tactful source of houses, the initial recommendation source of houses and the popular source of houses；Initially Recommend the sequence of the source of houses, the sequence of the tactful source of houses and the popular source of houses and the initial recommendation source of houses, the popular source of houses and the tactful source of houses) it is right Each target recommends the source of houses to be arranged.

Optionally, interval shows that the target recommends the popular source of houses in the source of houses, strategy in the source of houses recommendation list The source of houses and the initial recommendation source of houses, wherein the target for belonging to the popular source of houses recommends the continuous quantity of the source of houses to be less than third preset quantity Threshold value, the target for belonging to the tactful source of houses recommend the continuous quantity of the source of houses less than the 4th preset quantity threshold value, belong to initial recommendation room The target in source recommends the continuous quantity of the source of houses less than the 5th preset quantity threshold value.The advantages of this arrangement are as follows can effectively keep away Exempting from user can only browse or check that for a long time same category of target recommends the source of houses, and user is avoided to browse or check that target recommends room The unicity in source, but also can effectively improve the conversion ratio that user searches for the source of houses, meet user to the real demand of the source of houses.

Illustratively, in the source of houses recommendation list interval show target recommend the popular source of houses in the source of houses, the tactful source of houses and The initial recommendation source of houses avoids concentrating the phenomenon that showing same class target recommendation source of houses generation.It is pushed away in addition, not only interting displaying target The popular source of houses, the tactful source of houses and the initial recommendation source of houses in the source of houses are recommended, also, the target for belonging to the popular source of houses is made to recommend the source of houses Continuous quantity is less than third preset quantity threshold value, and the target for belonging to the tactful source of houses recommends the continuous quantity of the source of houses default less than the 4th Amount threshold, the target for belonging to the initial recommendation source of houses recommend the continuous quantity of the source of houses less than the 5th preset quantity threshold value.Wherein, originally Embodiment to the size of third preset quantity threshold value, the 4th preset quantity threshold value and the 5th preset quantity threshold value without limitation, three Person can part it is identical, can also be identical, can be with entirely different.

The source of houses recommendation list is recommended user by step 380.

The technical solution of the present embodiment filters out the popular source of houses, the tactful source of houses and initial recommendation room from source of houses database Source, and recommended candidate collection in source is constructed based on the above-mentioned source of houses, then basis is respectively the popular source of houses, the tactful source of houses and initially pushes away The weighted value for recommending source of houses distribution is concentrated from source of houses recommended candidate and determines that target recommends the source of houses, and recommends the source of houses to form room target Source of houses recommendation list is finally recommended user by source recommendation list.It not only can recommend suitable information of real estate to user, use Related information of real estate is recognized at family at a glance, solves the problems, such as that source of houses search efficiency is low, but also can be accurately and rapidly Meet user to the real demand of the source of houses, promotes the conversion ratio that user searches for the source of houses.

Fig. 4 is a kind of structural schematic diagram for source of houses recommendation apparatus that the embodiment of the present disclosure provides, and the present embodiment is applicable to The case where recommending the source of houses to user.The device can realize that the device can be configured at electricity by the way of software and/or hardware In sub- equipment.As shown in figure 4, the apparatus may include:

The popular source of houses and tactful source of houses determining module 410, for being screened from source of houses database based on the first preset condition The popular source of houses out, and the strategy source of houses is determined from the source of houses database based on the second preset condition；Wherein, described first is default Condition is different from second preset condition；

Initial recommendation source of houses determining module 420, for true from the source of houses database according to user's history behavioral data Determine the initial recommendation source of houses；

Source of houses recommended candidate collection constructs module 430, for based on the popular source of houses, the tactful source of houses and the initial recommendation source of houses Construct source of houses recommended candidate collection；

Target recommends source of houses recommending module 440, for according to the respectively described popular source of houses, the tactful source of houses and initial recommendation The weighted value of source of houses distribution is concentrated from the source of houses recommended candidate and determines that target recommends the source of houses, and the target is recommended the source of houses Recommend user.

The technical solution of the embodiment of the present disclosure, by filtering out popular room from source of houses database based on the first preset condition Source, and the strategy source of houses is determined from source of houses database based on the second preset condition, wherein the first preset condition and the second default item Part is different, and the initial recommendation source of houses is determined from source of houses database according to user's history behavioral data, be then based on the popular source of houses, The tactful source of houses and the initial recommendation source of houses construct source of houses recommended candidate collection, last according to being respectively the popular source of houses, the tactful source of houses and just Begin the weighted value for recommending the source of houses to distribute, and concentrates from source of houses recommended candidate and determines that target recommends the source of houses, and the target recommendation source of houses is pushed away It recommends to user.Using the technical solution of the embodiment of the present disclosure, by from the popular source of houses, the tactful source of houses and just in source of houses database Begin that the source of houses recommended candidate of source of houses building is recommended to concentrate, determines the final source of houses recommended to the user, can not only recommend to user Suitable information of real estate solves the problems, such as that source of houses search efficiency is low, but also can accurately and rapidly meet the true need of user It asks, promotes the conversion ratio that user searches for the source of houses.

Optionally, the source of houses recommendation apparatus further include:

Optionally, the initial recommendation source of houses determining module is specifically used for:

Optionally, source of houses recommendation apparatus further include:

Optionally, the source of houses feature includes city, districts under city administration, commercial circle, source of houses affiliated subdistrict, house type, area, building At least one of layer, direction and price.

Optionally, the target recommends source of houses recommending module to be specifically used for:

The source of houses recommendation list is recommended into user.

Optionally, interval shows that the target recommends the popular source of houses, plan in the source of houses in the source of houses recommendation list The slightly source of houses and the initial recommendation source of houses, wherein the target for belonging to the popular source of houses recommends the continuous quantity of the source of houses to be less than third present count Threshold value is measured, the target for belonging to the tactful source of houses recommends the continuous quantity of the source of houses less than the 4th preset quantity threshold value, belongs to initial recommendation The target of the source of houses recommends the continuous quantity of the source of houses less than the 5th preset quantity threshold value.

The embodiment of the present disclosure additionally provides a kind of electronic equipment, and embodiment of the present disclosure offer can be integrated in the electronic equipment Source of houses recommendation apparatus.Embodiment of the present disclosure electronic equipment includes terminal device or server, wherein terminal device may include But it is not limited to such as mobile phone, laptop, digit broadcasting receiver, PDA (personal digital assistant), PAD (plate electricity Brain), PMP (portable media player), the mobile terminal of car-mounted terminal (such as vehicle mounted guidance terminal) etc. and such as The fixed terminal of digital TV, desktop computer etc..Electronic equipment shown in Fig. 5 is only an example, should not be to the disclosure The function and use scope of embodiment bring any restrictions.

Fig. 5 is the structural block diagram for a kind of electronic equipment that the embodiment of the present disclosure provides.The electronic equipment may include: one Or multiple processors；

Memory, for storing one or more programs,

When one or more of programs are executed by one or more of memories, so that one or more of processing Device realizes following method:

According to the respectively described popular source of houses, the tactful source of houses and the weighted value of initial recommendation source of houses distribution, from the source of houses Recommended candidate, which is concentrated, determines that target recommends the source of houses, and the target recommendation source of houses is recommended user.It should be understood that diagram Electronic equipment 500 is only an example, and electronic equipment 500 can have than shown in the drawings more or less Component, two or more components can be combined, or can have different component configurations.Various portions shown in the drawings Part can be in hardware, software or the hardware and software including one or more signal processings and/or specific integrated circuit It is realized in combination.

Just the electronic equipment provided in this embodiment for being integrated with source of houses recommendation apparatus is described in detail below.

As shown in figure 5, electronic equipment 500 may include processor (such as central processing unit, graphics processor etc.) 520, It can be loaded into random access storage device according to the program being stored in read-only memory (ROM) 530 or from memory 510 (RAM) program in 540 and execute various movements appropriate and processing.In RAM540, it is also stored with the operation of electronic equipment 500 Required various programs and data.Processor 520, ROM530 and RAM540 are connected with each other by bus 550.Input/output (I/O) interface 560 is also connected to bus 550.

In general, following device can connect to I/O interface 560: including such as touch screen, touch tablet, keyboard, mouse, taking the photograph As the input unit 580 of head, microphone, accelerometer, gyroscope etc.；Including such as liquid crystal display (LCD), loudspeaker, vibration The output device 590 of dynamic device etc.；Memory 510 including such as tape, hard disk etc.；Electronic equipment 500 can also include communication Device 570.Communication device 570 can permit electronic equipment 500 and wirelessly or non-wirelessly be communicated with other equipment to exchange data.

Particularly, according to the embodiment of the present disclosure, above with reference to the process of flow chart description, to may be implemented as computer soft Part program.For example, the embodiment of the present disclosure includes a kind of computer program product comprising carry on a computer-readable medium Computer program, the computer program include the program code for executing the source of houses recommended method of embodiment of the present disclosure offer. In such embodiments, which can be downloaded and installed from network by communication device, or from storage Device is mounted, or is mounted from ROM.When the computer program is executed by processor, the source of houses of the embodiment of the present disclosure is executed The above-mentioned function of being limited in recommended method.

It should be noted that in the embodiment of the present disclosure computer-readable medium can be computer-readable signal media or Computer readable storage medium either the two any combination.Computer readable storage medium for example can be --- but Be not limited to --- electricity, magnetic, optical, electromagnetic, infrared ray or semiconductor system, device or device, or any above combination. The more specific example of computer readable storage medium can include but is not limited to: have one or more conducting wires electrical connection, Portable computer diskette, hard disk, random access storage device (RAM), read-only memory (ROM), erasable type may be programmed read-only deposit Reservoir (EPROM or flash memory), optical fiber, portable compact disc read-only memory (CD-ROM), light storage device, magnetic memory Part or above-mentioned any appropriate combination.In the disclosure, computer readable storage medium, which can be, any include or stores The tangible medium of program, the program can be commanded execution system, device or device use or in connection.And In the embodiment of the present disclosure, computer-readable signal media may include in a base band or as carrier wave a part propagate data Signal, wherein carrying computer-readable program code.The data-signal of this propagation can take various forms, including but It is not limited to electromagnetic signal, optical signal or above-mentioned any appropriate combination.Computer-readable signal media can also be computer Any computer-readable medium other than readable storage medium storing program for executing, the computer-readable signal media can send, propagate or pass It is defeated to be used for by the use of instruction execution system, device or device or program in connection.On computer-readable medium The program code for including can transmit with any suitable medium, including but not limited to: electric wire, optical cable, RF (radio frequency) etc., or The above-mentioned any appropriate combination of person.

Above-mentioned computer-readable medium can be included in above-mentioned electronic equipment；It is also possible to individualism, and not It is fitted into the electronic equipment.

Above-mentioned computer-readable medium carries one or more program, when said one or multiple programs are by the electricity When sub- equipment executes, so that the electronic equipment realizes following method:

Certainly, a kind of storage medium comprising computer executable instructions, computer provided by the embodiment of the present disclosure The source of houses that executable instruction is not limited to the described above recommends operation, and the source of houses provided by disclosure any embodiment can also be performed Relevant operation in recommended method.

The disclosure, which can be performed, in source of houses recommendation apparatus, storage medium and the electronic equipment provided in above-described embodiment arbitrarily implements Source of houses recommended method provided by example has and executes the corresponding functional module of this method and beneficial effect.Not in above-described embodiment In detailed description technical detail, reference can be made to source of houses recommended method provided by disclosure any embodiment.

The operation for executing the embodiment of the present disclosure can be write with one or more programming languages or combinations thereof Computer program code, above procedure design language include object oriented program language-such as Java, Smalltalk, C++ further include conventional procedural programming language-such as " C " language or similar program design language Speech.Program code can be executed fully on the user computer, partly be executed on the user computer, as an independence Software package execute, part on the user computer part execute on the remote computer or completely in remote computer or It is executed on server.In situations involving remote computers, remote computer can pass through the network of any kind --- packet It includes local area network (LAN) or wide area network (WAN)-is connected to subscriber computer, or, it may be connected to outer computer (such as benefit It is connected with ISP by internet).

Flow chart and block diagram in attached drawing, illustrate the method and computer program product according to the various embodiments of the disclosure Architecture, function and operation in the cards.In this regard, each box in flowchart or block diagram can represent one A part of module, program segment or code, a part of the module, program segment or code include it is one or more for realizing The executable instruction of defined logic function.It should also be noted that in some implementations as replacements, function marked in the box It can also can occur in a different order than that indicated in the drawings.For example, two boxes succeedingly indicated can actually base Originally it is performed in parallel, they can also be executed in the opposite order sometimes, and this depends on the function involved.It is also noted that It is the combination of each box in block diagram and or flow chart and the box in block diagram and or flow chart, can uses and execute rule The dedicated hardware based systems of fixed functions or operations is realized, or can use the group of specialized hardware and computer instruction It closes to realize.

Be described in the embodiment of the present disclosure involved module, unit can be realized by way of software, can also be with It is realized by way of hardware.Wherein, module, the title of unit are not constituted under certain conditions to the module or unit sheet The restriction of body.

Note that the above is only a better embodiment of the present invention and the applied technical principle.It will be appreciated by those skilled in the art that The invention is not limited to the specific embodiments described herein, be able to carry out for a person skilled in the art it is various it is apparent variation, It readjusts and substitutes without departing from protection scope of the present invention.Therefore, although being carried out by above embodiments to the present invention It is described in further detail, but the present invention is not limited to the above embodiments only, without departing from the inventive concept, also It may include more other equivalent embodiments, and the scope of the invention is determined by the scope of the appended claims.

Claims

1. a kind of source of houses recommended method characterized by comprising

The popular source of houses is filtered out from source of houses database based on the first preset condition, and is based on the second preset condition from the source of houses The strategy source of houses is determined in database；Wherein, first preset condition is different from second preset condition；

According to the respectively described popular source of houses, the tactful source of houses and the weighted value of initial recommendation source of houses distribution, recommend from the source of houses It determines that target recommends the source of houses in Candidate Set, and the target recommendation source of houses is recommended into user.

2. the method according to claim 1, wherein being screened from source of houses database based on the first preset condition Out before the popular source of houses, further includes:

According to area belonging to each target source of houses, the first source of houses quantity that each area includes is counted, determines described One source of houses quantity is greater than the objective area of the first preset quantity threshold value, and the corresponding source of houses in the objective area is determined as popular room Source；

According to the price of each target source of houses, the second source of houses quantity that each preset source of houses price range includes is counted, Determine that second source of houses quantity is greater than the target source of houses price range of the second preset quantity threshold value, by the target source of houses price The corresponding source of houses in section is determined as the popular source of houses；

User is obtained to the history number of clicks of the target source of houses each in the source of houses database, the history is clicked secondary The source of houses that number is greater than preset times threshold value is determined as the popular source of houses.

3. the method according to claim 1, wherein according to user's history behavioral data from the source of houses database The middle determining initial recommendation source of houses, comprising:

According to user's history behavioral data be the source of houses database involved in each source of houses feature that the corresponding source of houses is arranged is special Levy weight；

First object source of houses feature is determined from each source of houses feature according to the source of houses feature weight；Wherein, first mesh It marks the corresponding source of houses feature weight of source of houses feature and is greater than the first default weight threshold；

Searched from the source of houses database with the first object source of houses of the first object source of houses characteristic matching, and by described the The one target source of houses is as the initial recommendation source of houses.

4. according to the method described in claim 3, it is characterized in that, being searched and first mesh from the source of houses database Mark source of houses characteristic matching the first object source of houses, and using the first object source of houses as the initial recommendation source of houses after, comprising:

Obtain newest user's history behavioral data；

It is corresponding to each source of houses feature based on the newest user's history behavioral data according to default weight adjusting step Source of houses feature weight be adjusted；

The second target source of houses feature is determined from each source of houses feature according to source of houses feature weight adjusted；Wherein, described The corresponding source of houses feature weight of two target source of houses features is greater than the second default weight threshold；

The second target source of houses with the second target source of houses characteristic matching is searched from the source of houses database, described in updating The initial recommendation source of houses.

5. the method according to claim 3 or 4, which is characterized in that the source of houses feature include city, districts under city administration, commercial circle, At least one of source of houses affiliated subdistrict, house type, area, floor, direction and price.

6. the method according to claim 1, wherein the target recommendation source of houses is recommended user, comprising:

The source of houses recommendation list is recommended into user.

7. according to the method described in claim 6, it is characterized in that, interval shows the target in the source of houses recommendation list Recommend the popular source of houses, the tactful source of houses and the initial recommendation source of houses in the source of houses, wherein the target for belonging to the popular source of houses recommends the source of houses Continuous quantity is less than third preset quantity threshold value, and the target for belonging to the tactful source of houses recommends the continuous quantity of the source of houses default less than the 4th Amount threshold, the target for belonging to the initial recommendation source of houses recommend the continuous quantity of the source of houses less than the 5th preset quantity threshold value.

8. a kind of source of houses recommendation apparatus characterized by comprising

The popular source of houses and tactful source of houses determining module, for filtering out popular room from source of houses database based on the first preset condition Source, and the strategy source of houses is determined from the source of houses database based on the second preset condition；Wherein, first preset condition and institute State the second preset condition difference；

Initial recommendation source of houses determining module, for determination initially to push away from the source of houses database according to user's history behavioral data Recommend the source of houses；

Source of houses recommended candidate collection constructs module, for constructing room based on the popular source of houses, the tactful source of houses and the initial recommendation source of houses Source recommended candidate collection；

Target recommends source of houses recommending module, for according to the respectively described popular source of houses, the tactful source of houses and the initial recommendation source of houses point The weighted value matched is concentrated from the source of houses recommended candidate and determines that target recommends the source of houses, and the target recommendation source of houses is recommended User.

9. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the program is held by processor The source of houses recommended method as described in any in claim 1-7 is realized when row.

10. a kind of electronic equipment, which is characterized in that the electronic equipment includes:

One or more processors；

Memory, for storing one or more programs,

When one or more of programs are executed by one or more of memories, so that one or more of processors are real Now such as source of houses recommended method of any of claims 1-7.