CN111159545A - Recommended house source determining method and device and house source recommending method and device - Google Patents
Recommended house source determining method and device and house source recommending method and device Download PDFInfo
- Publication number
- CN111159545A CN111159545A CN201911349458.7A CN201911349458A CN111159545A CN 111159545 A CN111159545 A CN 111159545A CN 201911349458 A CN201911349458 A CN 201911349458A CN 111159545 A CN111159545 A CN 111159545A
- Authority
- CN
- China
- Prior art keywords
- house source
- house
- user
- tags
- subsets
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 81
- 238000004891 communication Methods 0.000 claims description 3
- 238000010586 diagram Methods 0.000 description 10
- 230000008569 process Effects 0.000 description 9
- 230000001960 triggered effect Effects 0.000 description 4
- 230000008901 benefit Effects 0.000 description 3
- 230000008859 change Effects 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 3
- 238000004590 computer program Methods 0.000 description 2
- 238000002474 experimental method Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000011176 pooling Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/16—Real estate
Landscapes
- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Theoretical Computer Science (AREA)
- Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- Tourism & Hospitality (AREA)
- General Physics & Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- Strategic Management (AREA)
- Primary Health Care (AREA)
- General Business, Economics & Management (AREA)
- Marketing (AREA)
- Human Resources & Organizations (AREA)
- Economics (AREA)
- Health & Medical Sciences (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The embodiment of the invention provides a method and a device for determining recommended house resources and a method and a device for recommending house resources, and belongs to the technical field of internet. The recommended house source determining method comprises the following steps: acquiring a browsing record of a user in a preset time, wherein the browsing record at least comprises information of a house source browsed by the user; determining a user requirement tag based on the browsing record, wherein the user requirement tag comprises one or more groups of the house source tags, and each group of the house source tags in the one or more groups of the house source tags comprises one or more house source tags; and determining the house resources matched with at least one group of the house resource tags included in the user requirement tags as the recommended house resources of the user. The house source meeting the requirements of the user can be accurately determined based on the browsing records of the user.
Description
Technical Field
The invention relates to the technical field of internet, in particular to a method and a device for determining recommended house resources and a method and a device for recommending house resources.
Background
At present, electronic commerce develops rapidly, various house resources are full of information, and consumers are difficult to find satisfactory house resources rapidly in the house finding process.
There are two main types of recommendations currently in use. One method is to indiscriminately recommend house resources to a user, and the method is not strong in pertinence and cannot accurately meet the requirements of the user. And the other is to record the house resources browsed by the user, and recommend the house resources to the user when the state and the price of the house resources are changed. The method has long recommendation period, and if the state and the price of the house source are not changed, the recommendation of the house source to the user cannot be triggered.
Disclosure of Invention
An object of the embodiments of the present invention is to provide a method and an apparatus for determining recommended house resources, and a method and an apparatus for recommending house resources, which are used to solve all or at least part of the above technical problems.
In order to achieve the above object, an embodiment of the present invention provides a recommended room source determining method, where the method includes: acquiring a browsing record of a user in a preset time, wherein the browsing record at least comprises information of a house source browsed by the user; determining a user requirement label based on the browsing record, wherein the user requirement label comprises one or more groups of house source labels, and each group of house source labels in the one or more groups of house source labels comprises one or more house source labels; and determining the house resources matched with at least one group of the house resource tags included in the user requirement tags as the recommended house resources of the user.
Optionally, the information of the house sources browsed by the user includes a house source tag included in each house source in the house sources browsed by the user, and determining the user requirement tag based on the browsing record includes: counting the times of all different house source labels in the house source labels contained in each house source browsed by the user; determining a subset meeting a preset condition from a set consisting of the house source tags contained in each house source browsed by the user, wherein the set comprises all different house source tags in the house source tags contained in each house source browsed by the user, and the preset condition is that the frequency of the tags of each house source in the subset is greater than a first preset value and the support degree of the subset is greater than a second preset value; selecting all subsets with the maximum number of the house source tags from the subsets meeting the preset conditions, and taking all the selected subsets with the maximum number of the house source tags as the maximum frequent item set; and determining the user demand label according to the maximum frequent item set.
Optionally, the determining, from the set of house source tags contained in the house source browsed by the user, a subset satisfying a preset condition includes: selecting one or more subsets which meet the preset condition and contain 1 number of the house source tags from the set; and respectively executing the following steps when the value of k is from 1 to the number of the house source tags in the set: judging the one or more subsets L which satisfy the preset condition and contain k of house source labelskHas at least two subsets L in which k-1 terms are identicalk(ii) a If there are said at least two subsets LkThen the one or more subsets LkEvery two of said subsets L having k-1 entries identicalkCombining to form one or more candidate sets containing the room source tags with the number of k + 1; and selecting one or more subsets which meet the preset condition and have the room source label number of k +1 from the one or more candidate sets.
Optionally, the information of the house sources browsed by the user includes a house source tag included in each house source in the house sources browsed by the user, and determining the user requirement tag based on the browsing record includes: counting the times of all different house source labels in the house source labels contained in each house source browsed by the user; selecting one or more subsets which meet preset conditions and comprise the number of the house source labels of 1 from a set consisting of the house source labels contained in each house source browsed by the user, wherein the set comprises all different house source labels in the house source labels contained in each house source browsed by the user, and the preset conditions are that the number of times of each house source label in the subset is greater than a first preset value and the support degree of the subset is greater than a second preset value; and sequentially executing the following steps under the condition that the value of k is from 1 to the number of the room source tags in the set until the maximum frequent item set is determined: judging the number of the house source labels which meet the preset conditions and are containedThe one or more subsets L of kkHas at least two subsets L in which k-1 terms are identicalk(ii) a If there are said at least two subsets LkThen the one or more subsets LkEvery two of said subsets L having k-1 entries identicalkCombining to form one or more candidate sets C with k +1 of room source labelsk+1Otherwise, the one or more subsets LkAs the maximum frequent item set; determining the one or more candidate sets Ck+1Has one or more subsets L satisfying the preset conditionk+1(ii) a And if not having the one or more subsets Lk+1Then the one or more subsets LkAs the maximum frequent item set; and determining the user demand label according to the maximum frequent item set.
Optionally, the information of the house sources browsed by the user further includes browsing duration of the house sources by the user, and the counting of the number of times of all different house source tags in the house source tags contained in each house source browsed by the user includes: determining the number of times of the house source tags contained in each house source based on the browsing duration; and determining the times of all the different house source labels according to the times of the house source labels contained in each house source.
Correspondingly, the embodiment of the invention also provides a house source recommending method, which comprises the following steps: acquiring a recommended house source determined according to the recommended house source determining method; and recommending the recommended house resources to the user.
Correspondingly, an embodiment of the present invention further provides a recommended house source determining apparatus, where the apparatus includes: the system comprises an acquisition module, a storage module and a display module, wherein the acquisition module is used for acquiring browsing records of a user within preset time, and the browsing records at least comprise information of house sources browsed by the user; a first determining module, configured to determine a user requirement tag based on the browsing record, where the user requirement tag includes one or more groups of house source tags, and each group of house source tags in the one or more groups of house source tags includes one or more house source tags; and the second determination module is used for determining the house resources matched with at least one group of the house resource tags included in the user requirement tags as the recommended house resources of the user.
Optionally, the information of the house sources browsed by the user includes a house source tag included in each of the house sources browsed by the user, and the first determining module includes: the counting unit is used for counting the times of all different house source labels in the house source labels contained in each house source browsed by the user; a first determining unit, configured to determine a subset that meets a preset condition from a set consisting of the house source tags contained in each house source browsed by the user, where the set includes all different house source tags in the house source tags contained in each house source browsed by the user, and the preset condition is that the number of times of each house source tag in the subset is greater than a first preset value and the support degree of the subset is greater than a second preset value; a selecting unit, configured to select, from the subsets that satisfy the preset condition, all subsets that include the largest number of house source tags, and use the selected all subsets that include the largest number of house source tags as a largest frequent item set; and the second determining unit is used for determining the user requirement label according to the maximum frequent item set.
Optionally, the first determining unit is configured to determine a subset meeting a preset condition from a set of the house source tags contained in the house source browsed by the user according to the following steps: selecting one or more subsets which meet the preset condition and contain 1 number of the house source tags from the set; and respectively executing the following steps when the value of k is from 1 to the number of the house source tags in the set: judging the one or more subsets L which satisfy the preset condition and contain k of house source labelskHas at least two subsets L in which k-1 terms are identicalk(ii) a If there are said at least two subsets LkThen the one or more subsets LkEvery two of said subsets L having k-1 entries identicalkCombining to form one or more candidate sets containing the room source tags with the number of k + 1; selecting from the one or more candidate setsAnd selecting one or more subsets which meet the preset condition and have the room source label number of k + 1.
Optionally, the information of the house sources browsed by the user includes a house source tag included in each of the house sources browsed by the user, and the first determining module includes: the counting unit is used for counting the times of all different house source labels in the house source labels contained in each house source browsed by the user; a selecting unit, configured to select one or more subsets that satisfy a preset condition and include a number of room source tags of 1 from a set of the room source tags included in each room source browsed by the user, where the set includes all different room source tags in the room source tags included in each room source browsed by the user, and the preset condition is that the number of times of each room source tag in the subset is greater than a first preset value and a support degree of the subset is greater than a second preset value; a first determining unit, configured to execute the following steps until determining the maximum frequent item set when the value of k is from 1 to the number of room source tags in the set: judging the one or more subsets L which satisfy the preset condition and contain k of house source labelskHas at least two subsets L in which k-1 terms are identicalk(ii) a If there are said at least two subsets LkThen the one or more subsets LkEvery two of said subsets L having k-1 entries identicalkCombining to form one or more candidate sets C with k +1 of room source labelsk+1Otherwise, the one or more subsets LkAs the maximum frequent item set; determining the one or more candidate sets Ck+1Has one or more subsets L satisfying the preset conditionk+1(ii) a And if not having the one or more subsets Lk+1Then the one or more subsets LkAs the maximum frequent item set; and the second determining unit is used for determining the user requirement label according to the maximum frequent item set.
Optionally, the information of the house sources browsed by the user further includes browsing duration of the house sources by the user, and the counting unit is configured to count the number of times of all different house source tags in the house source tags contained in each house source browsed by the user according to the following steps: determining the number of times of the house source tags contained in each house source based on the browsing duration; and determining the times of all the different house source labels according to the times of the house source labels contained in each house source.
Correspondingly, the embodiment of the invention also provides a room source recommending device, which comprises: the acquisition module is used for acquiring the recommended house source determined according to the recommended house source determination method; and the recommending module is used for recommending the recommended house resources to the user.
Accordingly, an embodiment of the present invention further provides a machine-readable storage medium, on which instructions are stored, the instructions being configured to enable a machine to perform: the recommended house source determining method; and/or the aforementioned house source recommendation method.
Correspondingly, the embodiment of the invention also provides electronic equipment, which comprises at least one processor, at least one memory and a bus, wherein the memory and the bus are connected with the processor; the processor and the memory complete mutual communication through the bus; the processor is configured to call program instructions in the memory to perform the recommended source determination method as described above and/or the source recommendation method as described above.
According to the technical scheme, the user requirement labels are extracted based on the browsing records of the users, and the house resources matched with the user requirement labels are determined as recommended house resources to be recommended to the users. Therefore, on one hand, the house resources meeting the requirements of the user can be accurately determined based on the browsing records of the user, and on the other hand, the technical problem that recommendation is triggered only by depending on the state of the house resources and the price change is solved.
Additional features and advantages of embodiments of the invention will be set forth in the detailed description which follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the embodiments of the invention without limiting the embodiments of the invention. In the drawings:
FIG. 1 is a flow chart illustrating a recommended house source determination method according to an embodiment of the invention;
FIG. 2 is a flow diagram illustrating a process for determining a user requirements tab based on browsing history according to an embodiment of the present invention;
FIG. 3 is a flow diagram illustrating a process for determining a user requirements tab based on browsing history according to another embodiment of the present invention;
FIG. 4 is a flow chart illustrating a house source recommendation method according to an embodiment of the invention;
fig. 5 is a block diagram showing a configuration of a recommended house source determining apparatus according to an embodiment of the present invention;
FIG. 6 is a block diagram illustrating a first determining module for determining a user requirement tag based on a browsing history according to an embodiment of the present invention;
FIG. 7 is a block diagram illustrating a first determination module for determining a user requirement tag based on a browsing history according to another embodiment of the present invention; and
fig. 8 is a block diagram illustrating a structure of a house source recommending apparatus according to an embodiment of the present invention.
Detailed Description
The following detailed description of embodiments of the invention refers to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating embodiments of the invention, are given by way of illustration and explanation only, not limitation.
Fig. 1 is a flowchart illustrating a recommended house source determining method according to an embodiment of the present invention. As shown in fig. 1, an embodiment of the present invention provides a recommended house source determining method, which may be executed by a server or a terminal, where the terminal may be, for example, a smartphone, a tablet computer, a notebook computer, or the like. The method may include steps S110 to S130.
In step S110, a browsing history of the user within a preset time is obtained.
The preset time may be set to any suitable value as needed, for example, one week, 10 days, 20 days, one month, and the like.
The browsing record may include at least information of the house source browsed by the user, and the information may include, for example, a house source tag included in the house source, a browsing duration of the user for the house source, and the like. For example, the house sources browsed by the user within a preset time may be first obtained, and then the house source tags of all the house sources may be obtained.
The house source tag may include, for example, content regarding one or more of: unit price, total price, orientation, floor type, or rights, etc. The unit price or total price can be divided into intervals, the orientations can include all south, north, west, east and west, etc., the building type can be a flat building, a tower building, etc., and the rights can be commodity houses, commercial houses, price limiting houses, etc.
The browsing records of the user can be obtained by a client side or a website of the terminal. When a user browses house resources on a client or a website, the client or the website can acquire browsing records of the user in real time. When the recommended house source determining method provided by the embodiment of the invention is executed by the server, the browsing record of the user can be sent to the server through the terminal, and the server records the browsing record of the user.
In step S120, a user requirement tag is determined based on the browsing record.
The user requirement tags may include one or more sets of premises tags, each of which may include one or more premises tags.
The house source tags contained in the house source browsed by the user are processed to determine the demand tags of the user for the house source.
In step S130, the house source matching with at least one set of the house source tags included in the user requirement tags is determined as the recommended house source of the user.
Aiming at each group of house source labels in the user demand labels, each group of house source labels can be matched with the house source labels of the house sources in the database. For example, all of the assets containing at least one set of the asset tags included in the user requirement tag may be determined as recommended assets of the user. Or, the matching degree may be calculated, and the house source with the matching degree greater than the preset value is determined as the recommended house source of the user, and the calculating method of the matching degree may be any known calculating method, for example, for a group of house source tags in the user requirement tags, the matching degree between the group of house source tags and the house source tag contained in one house source may be a ratio of the number of the same house source tags between the two to the total number of the house source tags in the group of house source tags. The determined recommended sources may include one or more sources.
When a user opens a client or a website each time, the recommended house resources determined by the user can be displayed, so that the user can conveniently screen out interested house resources.
According to the method for determining the recommended house source, the user requirement label is extracted based on the browsing record of the user, and the house source matched with the user requirement label is determined as the recommended house source to be recommended to the user. Therefore, on one hand, the house resources meeting the requirements of the user can be accurately determined based on the browsing records of the user, and on the other hand, the technical problem that recommendation is triggered only by depending on the state of the house resources and the price change is solved.
How to determine the user requirement tab based on the browsing history will be described below.
FIG. 2 is a flow diagram illustrating a process for determining a user demand tab based on a browsing history according to an embodiment of the invention. As shown in fig. 2, the determination manner of the requirement tag may be to first determine all subsets that satisfy the preset condition, then select the maximum frequent item set from all the subsets, and finally determine the user requirement tag according to the maximum frequent item set. Specifically, determining the user requirement tab based on the browsing history in this embodiment may include steps S210 to S240 described below.
In step S210, the number of times of all the different house source tags in the house source tags contained in each house source browsed by the user is counted.
The information of the house sources browsed by the user includes house source tags contained in each house source in the house sources browsed by the user, and the house source tags contained in each house source in the house sources browsed by the user can be acquired from the information of the house sources browsed by the user. The house source tag may include, for example, content regarding one or more of: unit price, total price, orientation, floor type, or rights, etc. The unit price or total price can be divided into intervals, the orientations can include all south, north, west, east and west, etc., the building type can be a flat building, a tower building, etc., and the rights can be commodity houses, commercial houses, price limiting houses, etc.
Alternatively, the number of the house source tags may be equal to the number of house sources containing the house source tag in all the house sources browsed by the user within the preset time.
Optionally, the information of the house source browsed by the user may further include a browsing duration of the house source by the user. When counting the number of times of all the different house source tags, the number of times of house source tags contained in each house source in the house sources browsed by the user can be determined based on the browsing duration.
For example, the browsing duration may be multiplied by the number of house source tags, and since the user browses one house source, the number of corresponding house source tags is 1, and then multiplied by the browsing duration, the number of corresponding house source tags may be equal to the number of corresponding house source tags, which is the browsing duration corresponding to the house source. Therefore, the browsing duration factor can be applied to the determination process of the user demand label, so that the determined demand label is more accurate.
Optionally, the browsing duration is not limited to be multiplied by the number of times of the house source tag, different weight coefficients corresponding to different browsing duration ranges may also be set, and then the weight coefficients are multiplied by the number of times of the house source tag, so that the factor of the browsing duration may also be applied to the determination process for the requirement tag, so that the determined requirement tag is more accurate.
In step S220, a subset satisfying a preset condition is determined from the set of the house source tags contained in each house source browsed by the user.
The set includes all of the different ones of the house source tags contained by each of the house sources browsed by the user. The preset conditions are that the frequency of each house source label in the subset is greater than a first preset value, and the support degree of the subset is greater than a second preset value.
In some alternative embodiments, when determining the subset satisfying the predetermined condition, for example, all subsets of the set may be determined first, for example, all subsets of the set { a, B, C } are { a }, { B }, { C }, { a, B }, { a, C }, { B, C }, { a, B, C }, and { a, B, C }, where a, B, and C respectively represent different room source tags. Then, a subset satisfying the preset condition is determined from all the subsets.
In some optional real-time manners, when determining the subset satisfying the preset condition, one or more subsets satisfying the preset condition and including the number of the house source tags of 1 may be first selected from the set. Then, when the value of k is from 1 to the number of the house source tags in the set, the following steps are respectively executed: judging the one or more subsets L which satisfy the preset condition and contain k of house source labelskHas at least two subsets L in which k-1 terms are identicalk(ii) a If there are said at least two subsets LkThen the one or more subsets LkEvery two of said subsets L having k-1 entries identicalkCombining to form one or more candidate sets containing k +1 number of room source tags, here equivalent to said subset L being the same for every two of k-1 entrieskSolving a union set to obtain one or more candidate sets with the room source label quantity being k + 1; selecting one or more subsets from the one or more candidate sets that satisfy the preset condition.
Specifically, assume that the house source tags contained in the house source browsed by the user include n different house source tags, where n is a positive integer. One or more subsets of the set having a room source tag number of 1 that satisfy a predetermined condition are first selected. The value of k is from 1 to the house source label in the setN, one or more subsets L satisfying the preset condition may be respectively based on the number k of house source tagskSelecting a subset L with the number of room source labels of k +1 and meeting a preset conditionk+1Wherein k is a positive integer.
Then, when k is 1, one or more subsets L satisfying the preset condition based on the number of the house source tags being 1 may be used1Selecting a subset L with the number of room source labels of 2 and meeting a preset condition2. Specifically, the one or more subsets L that satisfy the preset condition and include the number of the house source tags of 1 are determined1Whether or not there are at least two subsets L in which (1-1) items are identical1Obviously, every two subsets L1Both satisfying the condition, every two subsets L can be combined1The combinations form one or more candidate sets containing a number of house source tags of 2. Judging each candidate set with the number of the house source tags of 2 to select one or more subsets L which meet the preset condition and contain the number of the house source tags of 22。
Next, when k is 2, one or more subsets L satisfying a preset condition based on the house source tag number of 2 may be used2One or more subsets L with the number of the room source labels of 3 and meeting the preset condition are selected3. Specifically, the one or more subsets L satisfying the preset condition and including the house source tags whose number is 2 are determined2Whether or not there are at least two subsets L in which (2-1) items are identical2. If so, every two subsets L with 1 house source label identical2The sets are combined, i.e. merged, to form one or more candidate sets containing a number of 3 room source tags. Judging each candidate set containing 3 house source labels to select one or more subsets L meeting the preset condition and containing 3 house source labels3. If not, it may be determined that there is no subset that satisfies the preset condition and contains 3 house source tags, and correspondingly, there is no subset that satisfies the preset condition and contains more than 3 house source tags.
And repeating the steps until the number of the room source tags is increased to n, so as to determine all subsets in the set which meet the preset condition.
In the embodiment of the present invention, the first preset value may be set to any suitable value as needed, for example, the value of the first preset value may be adjusted according to different preset times.
The support of the subset may be calculated according to the following equation (1):
the Support (subset) represents the Support degree of the subset, the number (subset) represents the number of the room sources browsed by the user and the number (the room sources browsed by the user) represents the number of the room sources browsed by the user, wherein the number (the subset) represents the number of all the room source tags included in the subset.
The second preset value can be set to any suitable value according to requirements. And determining that the subset meets the preset condition under the condition that the frequency of each house source label in the subset is greater than the first preset value and the support degree of the subset is greater than the second preset value.
In step S230, all subsets with the largest number of house source tags are selected from the subsets satisfying the preset condition, and the selected all subsets with the largest number of house source tags are used as the largest frequent item set.
And selecting all the subsets which contain the largest number of the house source tags from the subsets which meet the preset conditions, namely selecting the subset which meets the preset conditions and has the largest number of elements in the subsets. The maximum frequent item set may include one or more subsets.
In step S240, the user requirement tag is determined according to the maximum frequent item set.
Alternatively, each subset included in the most frequent item set may be taken as a set of house source tags included in the user requirements tag.
After the user requirement label is determined, determining the house source matched with at least one group of the house source labels included in the user requirement label as the recommended house source of the user, thereby accurately determining the house source required by the user.
FIG. 3 is a flow diagram illustrating a process for determining a user desire tab based on a browsing history according to another embodiment of the invention. As shown in fig. 3, determining the user desire tab based on the browsing history in this embodiment may include steps S310 to S340 described below.
In step S310, the number of times of all the different house source tags in the house source tags contained in each house source browsed by the user is counted.
The information of the house sources browsed by the user includes house source tags contained in each house source in the house sources browsed by the user, and the house source tags contained in each house source in the house sources browsed by the user can be acquired from the information of the house sources browsed by the user. The house source tag may include, for example, content regarding one or more of: unit price, total price, orientation, floor type, or rights, etc. The unit price or total price can be divided into intervals, the orientations can include all south, north, west, east and west, etc., the building type can be a flat building, a tower building, etc., and the rights can be commodity houses, commercial houses, price limiting houses, etc.
Alternatively, the number of the house source tags may be equal to the number of house sources containing the house source tag in all the house sources browsed by the user within the preset time.
Optionally, the information of the house source browsed by the user may further include a browsing duration of the house source by the user. When counting the number of times of all the different house source tags, the number of times of house source tags contained in each house source in the house sources browsed by the user can be determined based on the browsing duration.
For example, the browsing duration may be multiplied by the number of house source tags, and since the user browses one house source, the number of corresponding house source tags is 1, and then multiplied by the browsing duration, the number of corresponding house source tags may be equal to the number of corresponding house source tags, which is the browsing duration corresponding to the house source. In this manner, a factor of the browsing duration may be applied to the determination of the user demand tab.
Optionally, the browsing duration is not limited to be multiplied by the number of times of the house source tag, different weight coefficients corresponding to different browsing duration ranges may be set, and then the weight coefficients are multiplied by the number of times of the house source tag, so that the factor of the browsing duration may also be applied to the determination process for the requirement tag.
In step S320, one or more subsets that satisfy a preset condition and include a number of the house source tags of 1 are selected from the set of the house source tags included in each of the house sources browsed by the user.
The set includes all of the different ones of the house source tags contained by each of the house sources browsed by the user. The preset conditions are that the frequency of each house source label in the subset is greater than a first preset value, and the support degree of the subset is greater than a second preset value.
As described above, the first preset value and the second preset value may be set to any suitable values as needed, for example, the value of the first preset value may be adjusted according to different preset times. The support of the subset may be calculated according to equation (1). One or more subsets satisfying the preset condition may be selected by judging each subset belonging to the set and having a number of origin tags of 1.
In step S330, a maximum frequent item set is determined when the value of k is from 1 to the number n of house source tags in the set, where n and k are both positive integers.
And sequentially executing the following steps under the condition that the value of k is from 1 to the number of the room source tags in the set until the maximum frequent item set is determined: judging the one or more subsets L which satisfy the preset condition and contain k of house source labelskHas at least two subsets L in which k-1 terms are identicalk(ii) a If there are said at least two subsets LkThen the one or more subsets LkEvery two of said subsets L having k-1 entries identicalkThe combination forms one or more of the house source tags with the number of k +1Candidate set Ck+1Otherwise, the one or more subsets LkAs the maximum frequent item set; determining the one or more candidate sets Ck+1Has one or more subsets L satisfying the preset conditionk+1(ii) a And if not having the one or more subsets Lk+1Then the one or more subsets LkAs the most frequent item set.
Specifically, when k is 1, the one or more subsets L satisfying the preset condition and including the number of the house source tags of 1 are determined1Whether or not there are at least two subsets L in which (1-1) items are identical1Obviously, every two subsets L1Both satisfying the condition, every two subsets L can be combined1Combining to form one or more candidate sets C containing the number of the house source labels of 22. Determining the one or more candidate sets C2Has one or more subsets L satisfying the preset condition2. If not having the one or more subsets L2Then the one or more subsets L1As the most frequent item set, and ends the step to execute step S340.
If there are said one or more subsets L2If k is 2, the one or more subsets L satisfying the preset condition and including the number of the house source tags 1 are determined1Whether or not there are at least two subsets L in which (2-1) items are identical2. If not, the one or more subsets L1As the most frequent item set, and ends the step to execute step S340. If so, every two subsets L with 1 house source label identical2Combining, i.e. pooling, to form one or more candidate sets C containing a number of 3 room source tags3. Determining the one or more candidate sets C3Has one or more subsets L satisfying the preset condition3. If not having the one or more subsets L3Then the one or more subsets L3As the most frequent item set, and ends the step to execute step S340.
If there are said one or more subsets L3Let k equal to 3 and so on until the most frequent item set is determined. It is understood that the maximum frequent item set refers to all subsets that satisfy the preset condition and include the largest number of room source tags.
In step S340, the user requirement tag is determined according to the maximum frequent item set.
Alternatively, each subset included in the most frequent item set may be taken as a set of house source tags included in the user requirements tag.
After the user requirement label is determined, determining the house source matched with at least one group of the house source labels included in the user requirement label as the recommended house source of the user, thereby accurately determining the house source required by the user.
Fig. 4 is a flow chart of a house source recommending method according to an embodiment of the invention. As shown in fig. 4, an embodiment of the present invention further provides a house source recommendation method, where the house source recommendation method may be executed by a terminal or a server, and the terminal may be, for example, a smart phone, a tablet computer, a notebook computer, and the like. The method may comprise the steps of: in step S410, acquiring a recommended house source determined according to the recommended house source determination method according to any embodiment of the present invention; and recommending the recommended house source to the user in step S420.
The house source recommending method is executed by the terminal. Specifically, the terminal may obtain, for example, a recommended house source determined for the user according to the recommended house source determination method according to any embodiment of the present invention when the user opens the client or the website, for example, obtain the recommended house source from the server. A recommended source may then be displayed, for example, to recommend the recommended source to the user. Therefore, the user can browse interested house sources each time the client or the website is opened.
The house source recommendation method may also be performed by a server. Specifically, if the stored user information includes any contact information such as a user mobile phone number or a mailbox address, when the house resource recommendation method is executed, the server may first obtain a recommended house resource determined for the user according to the recommended house resource determination method according to any embodiment of the present invention, and then recommend the recommended house resource to the user through the any contact information, for example. For example, the recommended house source may recommend the user in the form of a short message or an email. In this way, the user can be made to acquire the house source in which the user is interested in a plurality of ways.
Fig. 5 is a block diagram showing a configuration of a recommended house source determining apparatus according to an embodiment of the present invention. As shown in fig. 5, an embodiment of the present invention provides a recommended house source determining apparatus, which may be used in a server or a terminal, where the terminal may be, for example, a smartphone, a tablet computer, a notebook computer, or the like. The apparatus may include: an obtaining module 510, configured to obtain a browsing record of a user within a preset time, where the browsing record at least includes information of a house source browsed by the user; a first determining module 520, configured to determine a user requirement tag based on the browsing record, where the user requirement tag includes one or more sets of the house source tags, and each set of the house source tags in the one or more sets of the house source tags includes one or more house source tags; and a second determining module 530, configured to determine the house source matching with at least one set of the house source tags included in the user requirement tags as the recommended house source of the user. The recommended house source determining device provided by the embodiment of the invention can accurately determine the house source meeting the user requirements on the basis of the browsing records of the user and solve the technical problem that the recommendation is triggered only by depending on the state of the house source and the price change.
In some optional embodiments, the information of the house sources browsed by the user includes a house source tag contained in each of the house sources browsed by the user, as shown in fig. 6, the first determining module 520 may include: a counting unit 521, configured to count the number of times of all different house source tags in the house source tags included in each house source browsed by the user; a first determining unit 522, configured to determine a subset that meets a preset condition from a set of the house source tags contained in each house source browsed by the user, where the set includes all different house source tags in the house source tags contained in each house source browsed by the user, and the preset condition is that the number of times of each house source tag in the subset is greater than a first preset value and the support degree of the subset is greater than a second preset value; a selecting unit 523, configured to select all subsets that include the largest number of house source tags from the subsets that satisfy the preset condition, and use the selected all subsets that include the largest number of house source tags as the largest frequent item set; and a second determining unit 524, configured to determine the user requirement tag according to the maximum frequent item set, for example, each subset included in the maximum frequent item set may be used as a set of house source tags included in the user requirement tag.
The first determining unit 522 may first determine all subsets of the set, for example, all subsets of the set { a, B, C }, { a, B }, { a, C }, { B, C }, { a, B, C }, where a, B, and C respectively represent different room source tags. Then, a subset satisfying the preset condition is determined from all the subsets. Or, in a case where k takes a value from 1 to the number n of the house source tags in the set, one or more subsets L satisfying a preset condition may be respectively based on the number k of the house source tagskSelecting a subset L with the number of room source labels of k +1 and meeting a preset conditionk+1Wherein n and k are both positive integers. Thereby determining all subsets that satisfy the preset condition.
After the user requirement label is determined, determining the house source matched with at least one group of the house source labels included in the user requirement label as the recommended house source of the user, thereby accurately determining the house source required by the user.
In other alternative embodiments, the information about the house sources browsed by the user includes a house source tag included in each of the house sources browsed by the user, as shown in fig. 7, the first determining module 520 may include: a counting unit 525, configured to count the number of times of all different house source tags in the house source tags included in each house source browsed by the user; a selection unit 526 for browsing from the userSelecting one or more subsets which meet preset conditions and contain the number of the house source labels of 1 from a set consisting of the house source labels contained in each house source in the house sources, wherein the set comprises all different house source labels in the house source labels contained in each house source browsed by the user, and the preset conditions are that the frequency of each house source label in the subset is greater than a first preset value and the support degree of the subset is greater than a second preset value; a first determining unit 527, configured to perform the following steps until the maximum frequent item set is determined, in order when the value of k is from 1 to the number of room source tags in the set: judging the one or more subsets L which satisfy the preset condition and contain k of house source labelskHas at least two subsets L in which k-1 terms are identicalk(ii) a If there are said at least two subsets LkThen the one or more subsets LkEvery two of said subsets L having k-1 entries identicalkCombining to form one or more candidate sets C with k +1 of room source labelsk+1Otherwise, the one or more subsets LkAs the maximum frequent item set; determining the one or more candidate sets Ck+1Has one or more subsets L satisfying the preset conditionk+1(ii) a And if not having the one or more subsets Lk+1Then the one or more subsets LkAs the maximum frequent item set; and a second determining unit 528, configured to determine the user requirement tag according to the maximum frequent item set, for example, each subset included in the maximum frequent item set may be used as a set of house source tags included in the user requirement tag.
After the user requirement label is determined, determining the house source matched with at least one group of the house source labels included in the user requirement label as the recommended house source of the user, thereby accurately determining the house source required by the user.
In some optional embodiments, the counting unit 525 may determine the number of times the house label is included in each house based on the browsing duration; and determining the times of all the different house source labels according to the times of the house source labels contained in each house source. In this way, a factor of the browsing duration may be applied to the determination process for the demand label, so that the determined demand label is more accurate.
The recommended house source determining device provided by the embodiment of the invention may include a memory, a processor, and a computer program stored on the memory and executable on the processor, and when the processor executes the program, the recommended house source determining method according to any embodiment of the invention is implemented. It is understood that each of the above modules, units, etc. may be stored in the above memory as a program unit, and the processor executes the above program unit stored in the memory to implement the corresponding functions. The processor comprises a kernel, and the kernel calls a corresponding program unit from the memory. The kernel can be set to be one or more, and the information pushing method for the small flow experiment system according to any embodiment of the invention is executed by adjusting the kernel parameters. The memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip.
The specific working principle and benefits of the recommended house source determining apparatus provided by the embodiment of the present invention are the same as those of the recommended house source determining method provided by the embodiment of the present invention, and will not be described herein again.
Fig. 8 is a block diagram illustrating a structure of a house source recommending apparatus according to an embodiment of the present invention. As shown in fig. 8, an embodiment of the present invention further provides a room source recommending apparatus, where the room source recommending apparatus may be used in a terminal or a server, and the terminal may be, for example, a smart phone, a tablet computer, a notebook, and the like. The house source recommending device may include an obtaining module 810, configured to obtain a recommended house source determined according to the recommended house source determining method according to any embodiment of the present invention; and a recommending module 820 for recommending the recommended house resources to the user. When the house source recommending device is used for a server, a user can acquire interested house sources in various ways. When the house source recommending device is used for the terminal, the user can browse the house source which is interested by the user every time the user opens the client or the website.
The house source recommending device provided by the embodiment of the invention can comprise a memory, a processor and a computer program which is stored on the memory and can run on the processor, and when the processor executes the program, the house source recommending method according to any embodiment of the invention is realized. It is understood that the aforementioned obtaining module 810, recommending module 820, etc. may all be stored in the aforementioned memory as program units, and the processor executes the aforementioned program units stored in the memory to implement the corresponding functions. The processor comprises a kernel, and the kernel calls a corresponding program unit from the memory. The kernel can be set to be one or more, and the information pushing method for the small flow experiment system according to any embodiment of the invention is executed by adjusting the kernel parameters. The memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip.
The specific working principle and benefits of the house resource recommendation device provided by the embodiment of the invention are the same as those of the house resource recommendation method provided by the embodiment of the invention, and will not be described herein again.
Accordingly, an embodiment of the present invention further provides a machine-readable storage medium, on which instructions are stored, the instructions being configured to enable a machine to perform: the method for determining the recommended house resources according to any embodiment of the invention; and/or the house source recommendation method according to any embodiment of the invention.
Although the embodiments of the present invention have been described in detail with reference to the accompanying drawings, the embodiments of the present invention are not limited to the details of the above embodiments, and various simple modifications can be made to the technical solutions of the embodiments of the present invention within the technical idea of the embodiments of the present invention, and the simple modifications all belong to the protection scope of the embodiments of the present invention.
It should be noted that the various features described in the above embodiments may be combined in any suitable manner without departing from the scope of the invention. In order to avoid unnecessary repetition, the embodiments of the present invention do not describe every possible combination.
Those skilled in the art will understand that all or part of the steps in the method according to the above embodiments may be implemented by a program, which is stored in a storage medium and includes several instructions to enable a single chip, a chip, or a processor (processor) to execute all or part of the steps in the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Correspondingly, the embodiment of the invention also provides a structure of an electronic device, wherein the electronic device can comprise at least one processor, at least one memory connected with the processor, and a bus; the processor and the memory complete mutual communication through the bus; the processor is configured to call the program instructions in the memory to perform: the method for determining the recommended house resources according to any embodiment of the invention; and/or the house source recommendation method according to any embodiment of the invention. .
Those of ordinary skill in the art will understand that: all or part of the steps for implementing the method embodiments may be implemented by hardware related to program instructions, and the program may be stored in a computer readable storage medium, and when executed, the program performs the steps including the method embodiments; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
The above-described embodiments of the electronic device and the like are merely illustrative, where the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may also be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing an electronic device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
In addition, any combination of various different implementation manners of the embodiments of the present invention is also possible, and the embodiments of the present invention should be considered as disclosed in the embodiments of the present invention as long as the combination does not depart from the spirit of the embodiments of the present invention.
Claims (10)
1. A method for determining recommended house resources, the method comprising:
acquiring a browsing record of a user in a preset time, wherein the browsing record at least comprises information of a house source browsed by the user;
determining a user requirement label based on the browsing record, wherein the user requirement label comprises one or more groups of house source labels, and each group of house source labels in the one or more groups of house source labels comprises one or more house source labels; and
and determining the house source matched with at least one group of house source labels included in the user requirement labels as the recommended house source of the user.
2. The method of claim 1, wherein the information about the house sources browsed by the user comprises house source tags contained in each house source of the house sources browsed by the user, and the determining the user requirement tags based on the browsing records comprises:
counting the times of all different house source labels in the house source labels contained in each house source browsed by the user;
determining a subset meeting a preset condition from a set consisting of the house source tags contained in each house source browsed by the user, wherein the set comprises all different house source tags in the house source tags contained in each house source browsed by the user, and the preset condition is that the frequency of the tags of each house source in the subset is greater than a first preset value and the support degree of the subset is greater than a second preset value;
selecting all subsets with the maximum number of the house source tags from the subsets meeting the preset conditions, and taking all the selected subsets with the maximum number of the house source tags as the maximum frequent item set; and
and determining the user demand label according to the maximum frequent item set.
3. The method of claim 2, wherein the determining the subset satisfying the predetermined condition from the set of the house source tags contained in the house source browsed by the user comprises:
selecting one or more subsets which meet the preset condition and contain 1 number of the house source tags from the set; and
and respectively executing the following steps under the condition that the value of k is from 1 to the number of the house source tags in the set:
judging the one or more subsets L which satisfy the preset condition and contain k of house source labelskHas at least two subsets L in which k-1 terms are identicalk；
If there are said at least two subsets LkThen the one or more subsets LkEach two of which has a k-1 termThe same subset LkCombining to form one or more candidate sets containing the room source tags with the number of k + 1;
and selecting one or more subsets which meet the preset condition and have the room source label number of k +1 from the one or more candidate sets.
4. The method of claim 1, wherein the information about the house sources browsed by the user comprises house source tags contained in each house source of the house sources browsed by the user, and the determining the user requirement tags based on the browsing records comprises:
counting the times of all different house source labels in the house source labels contained in each house source browsed by the user;
selecting one or more subsets which meet preset conditions and comprise the number of the house source labels of 1 from a set consisting of the house source labels contained in each house source browsed by the user, wherein the set comprises all different house source labels in the house source labels contained in each house source browsed by the user, and the preset conditions are that the number of times of each house source label in the subset is greater than a first preset value and the support degree of the subset is greater than a second preset value;
and sequentially executing the following steps under the condition that the value of k is from 1 to the number of the room source tags in the set until the maximum frequent item set is determined:
judging the one or more subsets L which satisfy the preset condition and contain k of house source labelskHas at least two subsets L in which k-1 terms are identicalk；
If there are said at least two subsets LkThen the one or more subsets LkEvery two of said subsets L having k-1 entries identicalkCombining to form one or more candidate sets C with k +1 of room source labelsk+1Otherwise, the one or more subsets LkAs the maximum frequent item set;
determining the one or more candidate sets Ck+1Has one or more subsets L satisfying the preset conditionk+1(ii) a And
if not having the one or more subsets Lk+1Then the one or more subsets LkAs the maximum frequent item set; and
and determining the user demand label according to the maximum frequent item set.
5. The method according to any one of claims 2 to 4, wherein the information of the house sources browsed by the user further includes a browsing duration of the house sources by the user, and the counting the number of times of all different house source tags in the house source tags contained in each house source browsed by the user includes:
determining the number of times of the house source tags contained in each house source based on the browsing duration; and
determining the number of times of all the different house source tags according to the number of times of the house source tags contained in each house source.
6. A house source recommendation method, the method comprising:
acquiring a recommended house source determined according to the recommended house source determination method of any one of claims 1 to 5; and
and recommending the recommended house resources to the user.
7. A recommended premises source determination apparatus, the apparatus comprising:
the system comprises an acquisition module, a storage module and a display module, wherein the acquisition module is used for acquiring browsing records of a user within preset time, and the browsing records at least comprise information of house sources browsed by the user;
a first determining module, configured to determine a user requirement tag based on the browsing record, where the user requirement tag includes one or more groups of house source tags, and each group of house source tags in the one or more groups of house source tags includes one or more house source tags; and
and the second determination module is used for determining the house resources matched with at least one group of the house resource tags included in the user requirement tags as the recommended house resources of the user.
8. A room source recommendation device, the device comprising:
an obtaining module, configured to obtain a recommended house source determined according to the recommended house source determination method according to any one of claims 1 to 5; and
and the recommending module is used for recommending the recommended house source to the user.
9. A machine-readable storage medium having instructions stored thereon for enabling a machine to perform: the recommended source determination method according to any one of claims 1 to 5; and/or the house source recommendation method according to claim 6.
10. An electronic device comprising at least one processor, and at least one memory, bus connected to the processor; the processor and the memory complete mutual communication through the bus; the processor is configured to call program instructions in the memory to perform the recommended source determination method according to any one of claims 1 to 5; and/or the house source recommendation method according to claim 6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911349458.7A CN111159545A (en) | 2019-12-24 | 2019-12-24 | Recommended house source determining method and device and house source recommending method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911349458.7A CN111159545A (en) | 2019-12-24 | 2019-12-24 | Recommended house source determining method and device and house source recommending method and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111159545A true CN111159545A (en) | 2020-05-15 |
Family
ID=70557978
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911349458.7A Pending CN111159545A (en) | 2019-12-24 | 2019-12-24 | Recommended house source determining method and device and house source recommending method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111159545A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112464085A (en) * | 2020-11-19 | 2021-03-09 | 贝壳技术有限公司 | House source recommendation method and device, electronic equipment and storage medium |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102760163A (en) * | 2012-06-12 | 2012-10-31 | 奇智软件（北京）有限公司 | Personalized recommendation method and device of characteristic information |
| CN103700005A (en) * | 2013-12-17 | 2014-04-02 | 南京信息工程大学 | Association-rule recommending method based on self-adaptive multiple minimum supports |
| CN104750856A (en) * | 2015-04-16 | 2015-07-01 | 天天艾米（北京）网络科技有限公司 | System and method for multi-dimensional synergic recommendation |
| CN105719155A (en) * | 2015-09-14 | 2016-06-29 | 南京理工大学 | Association rule algorithm based on Apriori improved algorithm |
| CN106650273A (en) * | 2016-12-28 | 2017-05-10 | 东方网力科技股份有限公司 | Behavior prediction method and device |
| CN107103065A (en) * | 2017-04-17 | 2017-08-29 | 北京五八信息技术有限公司 | Information recommendation method and device based on user behavior |
| CN109903191A (en) * | 2019-01-04 | 2019-06-18 | 平安科技（深圳）有限公司 | Travelling recommended method, device, storage medium and terminal based on machine learning |
-
2019
- 2019-12-24 CN CN201911349458.7A patent/CN111159545A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102760163A (en) * | 2012-06-12 | 2012-10-31 | 奇智软件（北京）有限公司 | Personalized recommendation method and device of characteristic information |
| CN103700005A (en) * | 2013-12-17 | 2014-04-02 | 南京信息工程大学 | Association-rule recommending method based on self-adaptive multiple minimum supports |
| CN104750856A (en) * | 2015-04-16 | 2015-07-01 | 天天艾米（北京）网络科技有限公司 | System and method for multi-dimensional synergic recommendation |
| CN105719155A (en) * | 2015-09-14 | 2016-06-29 | 南京理工大学 | Association rule algorithm based on Apriori improved algorithm |
| CN106650273A (en) * | 2016-12-28 | 2017-05-10 | 东方网力科技股份有限公司 | Behavior prediction method and device |
| CN107103065A (en) * | 2017-04-17 | 2017-08-29 | 北京五八信息技术有限公司 | Information recommendation method and device based on user behavior |
| CN109903191A (en) * | 2019-01-04 | 2019-06-18 | 平安科技（深圳）有限公司 | Travelling recommended method, device, storage medium and terminal based on machine learning |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112464085A (en) * | 2020-11-19 | 2021-03-09 | 贝壳技术有限公司 | House source recommendation method and device, electronic equipment and storage medium |
| CN112464085B (en) * | 2020-11-19 | 2023-04-07 | 贝壳技术有限公司 | House source recommendation method and device, electronic equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107222566B (en) | Information pushing method and device and server | |
| US8655949B2 (en) | Correlated information recommendation | |
| CN109325179B (en) | Content promotion method and device | |
| CN107426328B (en) | Information pushing method and device | |
| CN110298716B (en) | Information pushing method and device | |
| EP2419871A1 (en) | Recommendation of network object information to user | |
| US10796323B2 (en) | Machine generated recommendation and notification models | |
| CN110674391B (en) | Product data pushing method and system based on big data and computer equipment | |
| CN109977296B (en) | Information pushing method, device, equipment and storage medium | |
| CN108243219B (en) | Information pushing method and device | |
| US10679171B2 (en) | Shipping preferences population systems and related methods | |
| CN111639988A (en) | Broker recommendation method, device, electronic equipment and storage medium | |
| US10621641B2 (en) | Method and device for pushing information | |
| CN108510321A (en) | A kind of construction method and device of house property user portrait | |
| CN107274209A (en) | The method and apparatus for predicting advertising campaign sales data | |
| CN109978580A (en) | Object recommendation method, apparatus and computer readable storage medium | |
| CN112925973B (en) | Data processing method and device | |
| CN108876484A (en) | Method of Commodity Recommendation and device | |
| CN112015986B (en) | Data pushing method, device, electronic equipment and computer readable storage medium | |
| CN108710656B (en) | Content pushing method and device | |
| US20140179354A1 (en) | Determining contact opportunities | |
| CN110110206B (en) | Method, device, computing equipment and storage medium for mining and recommending relationships among articles | |
| CN105589873B (en) | Data searching method, terminal and server | |
| CN111159545A (en) | Recommended house source determining method and device and house source recommending method and device | |
| CN107562846A (en) | A kind of method and apparatus for recommending application |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200515 |