CN108255893B - Personalized object recommendation method and device - Google Patents
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- CN108255893B CN108255893B CN201611270533.7A CN201611270533A CN108255893B CN 108255893 B CN108255893 B CN 108255893B CN 201611270533 A CN201611270533 A CN 201611270533A CN 108255893 B CN108255893 B CN 108255893B
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- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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Abstract
The invention discloses a personalized object recommendation method and device. Wherein, the method comprises the following steps: acquiring an object selection list, wherein the object selection list comprises: a plurality of objects to be selected; sorting each object in the plurality of objects according to the historical use information of the plurality of objects, wherein the historical use information comprises the historical selection times of each object in the plurality of objects; and updating the object selection list according to the sorting result of sorting each object in the plurality of objects according to the historical selection times. The invention solves the technical problem of low efficiency caused by manually dragging the scroll bar to search or inputting the name to search when the user selects the objects such as the dimension index and the like in the prior art.
Description
Technical Field
The invention relates to the field of computer internet, in particular to a personalized object recommendation method and device.
Background
In the prior art, query dimensions and query indexes for products or data are various, hundreds of dimensions may be selected in a dimension selection list, and a selection list for indexes is the same, when a user conducts multi-dimension analysis or multi-index analysis using the selection list, the user needs to drag a scroll bar of the selection list to check the required dimensions or indexes, when the data of the selectable dimensions or indexes are very much, the user may need to drag for a long time to find the required dimensions or indexes, which wastes time, and during the dragging process, the user may miss the required dimensions or indexes, thereby affecting the searching efficiency, besides the way of dragging the scroll bar of the selection list, the prior art also provides a way of inputting the required dimensions or indexes through a search box, however, this method requires the user to accurately remember all or part of the dimension names or index names, and in addition to the input process, a search process is performed according to the input content, so that the dimension or index required by the user cannot be obtained quickly.
Aiming at the problem of low efficiency caused by manually dragging a scroll bar to search or inputting a name to search when a user selects an object such as a dimension index in the prior art, no effective solution is provided at present.
Disclosure of Invention
The embodiment of the invention provides a personalized object recommendation method and device, which are used for at least solving the technical problem of low efficiency caused by the fact that a user uses a manual dragging scroll bar to search or inputs a name to search when selecting objects such as dimension indexes.
According to an aspect of an embodiment of the present invention, there is provided a method for recommending a personalized object, including: acquiring an object selection list, wherein the object selection list comprises: a plurality of objects to be selected; sorting each object in the plurality of objects according to the historical use information of the plurality of objects, wherein the historical use information comprises the historical selection times of each object in the plurality of objects; and updating the object selection list according to the sorting result of sorting each object in the plurality of objects according to the historical selection times.
According to another aspect of the embodiments of the present invention, there is also provided a personalized object recommendation apparatus, including: an obtaining module, configured to obtain an object selection list, where the object selection list includes: a plurality of objects to be selected; the system comprises a first sequencing module, a second sequencing module and a third sequencing module, wherein the first sequencing module is used for sequencing each object in a plurality of objects according to the historical use information of the plurality of objects according to the historical selection times, and the historical use information comprises the historical selection times of each object in the plurality of objects; and the first updating module is used for updating the object selection list according to the sorting result of sorting each object in the plurality of objects according to the historical selection times.
In the embodiment of the invention, an object selection list is obtained by adopting a mode of analyzing the selection habits of a user, wherein the object selection list comprises the following components: a plurality of objects to be selected; sorting each object in the plurality of objects according to the historical use information of the plurality of objects, wherein the historical use information comprises the historical selection times of each object in the plurality of objects; the object selection list is updated according to the sorting result of sorting each object in the plurality of objects according to the historical selection times, the purpose of combining the object selection list with the historical use information of the objects by the user is achieved, the objects with the historical selection times are arranged in the object selection list in the front to be recommended to the user, the technical effect of facilitating the user to select directly is achieved, and the technical problem that in the prior art, when the user selects the objects such as dimension indexes and the like, the efficiency is low when the user searches by manually dragging a scroll bar or inputs names to search is solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
fig. 1 is a flowchart of a method for recommending personalized objects according to embodiment 1 of the present invention;
fig. 2 is a block diagram of a personalized object recommendation apparatus according to embodiment 2 of the present invention;
fig. 3 is a block diagram of an alternative personalized object recommendation apparatus according to embodiment 2 of the present invention;
fig. 4 is a block diagram of an alternative personalized object recommendation apparatus according to embodiment 2 of the present invention; and
fig. 5 is a block diagram of an alternative personalized object recommendation apparatus according to embodiment 2 of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
In accordance with an embodiment of the present invention, there is provided a method embodiment of a method for personalized object recommendation, it should be noted that the steps illustrated in the flowchart of the figure may be performed in a computer system such as a set of computer executable instructions, and that while a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different than here.
Fig. 1 is a personalized object recommendation method according to an embodiment of the present invention, as shown in fig. 1, the method includes the following steps:
step S102, an object selection list is obtained, wherein the object selection list comprises: a plurality of objects to be selected.
Specifically, when a user queries or parses a product or data, the user needs to select a query or a parsed object, and therefore, first, an object selection list including a plurality of objects needs to be obtained, where it should be noted that the object selection list is an initial object selection list including all selectable objects, and the objects included in the object selection list may be sorted according to a preset sorting rule, for example, sorted by an initial pinyin manner, or sorted by a word number of an object name, and the like.
And step S104, sorting each object in the plurality of objects according to the historical use information of the plurality of objects, wherein the historical use information comprises the historical selection times of each object in the plurality of objects.
Specifically, after the object selection list is obtained, that is, after a plurality of objects in the object selection list are obtained, the plurality of objects may be ranked according to their historical usage information, thereby combining the ranking of the plurality of objects with the usage habits of the user, wherein the historical usage information for the plurality of objects includes a historical number of selections for each object in the plurality of objects, sorting the plurality of objects according to their historical usage information may be embodied as sorting the plurality of objects according to their historical selection times, when the objects in the object selection list are sorted according to the historical selection times of each object, the objects may be sorted in order of historical selection from a low number, i.e. objects with a high number of historical selections are ranked in the front and objects with a low number of historical selections are ranked in the back.
Optionally, the objects in the present invention include, but are not limited to, dimensions or indexes, the dimensions and indexes are the most commonly used terms in data analysis, the dimensions are certain characteristics of things or phenomena, such as gender, region, time, and the like, all of which are dimensions, time is a commonly used and special dimension, the indexes are units or methods for measuring the development degree of things, and for page access, the dimensions may include access amount, session page view amount, average dwell time, average page view amount, and hop rate.
Optionally, the present invention may be applicable to a CDH (cloud Distribution association Apache Hadoop) cluster, and when a user uses a structured language (sql) to perform query, the user may obtain historical usage information of the user on query dimensions and query indexes in an existing manner in the prior art, and may also obtain the historical usage information in the following manner: firstly, acquiring query records queried based on a structured query language through an application programming interface api of a cluster management system cloudera manager of a CDH cluster based on a distributed query engine inpala in the cluster, then based on the structured query language analysis tool, analyzing the query data from the query record, wherein, the structured query language analysis tool can be jsqlparser, the analyzed query data comprises query dimensions and the use information of query indexes, for example, the historical selection times and selection times of a single dimension or index, the historical selection times and selection times of a dimension combination or index combination, and the like, wherein, the dimension combination refers to the combination of two or more dimensions, that is, after selecting one dimension, one or more dimensions selected next form a dimension chain with the dimension, and the index combination refers to a combination of two or more indexes.
Step S106, updating the object selection list according to the sorting result of sorting each object in the plurality of objects according to the historical selection times.
Specifically, in step S104, after each object in the plurality of objects is sorted according to the historical selection times, a sorting result may be obtained, and according to the sorting result, the plurality of objects may be sorted, so as to update the object selection list, optionally, the sorting of all the objects in the object selection list may be updated according to the sorting result, that is, the object selection list may be updated according to the order of the historical selection times from least to least, or the top N objects with the highest historical selection times in the sorting result may be displayed in front, and the remaining objects or the top N objects with the highest historical selection times may be sorted according to a preset sorting rule in the object selection list, so as to update the object selection list, where the size of N may be set by a user, for example, may be set to 5 or 10, and in any manner, the purpose of preferentially displaying the objects with the highest historical usage times may be achieved, because the possibility that the objects with the large number of historical use times are selected again by the user is high, the updated object selection list is displayed by placing the objects with the large number of historical selection times at the front end of the list, the user does not need to drag a scroll bar or search when selecting, and the effect of quickly identifying the commonly used objects by naked eyes can be realized.
It should be noted here that, in the present invention, the updating of the object selection list only changes the ordering of the objects in the object selection list, and the number and the types of the multiple objects are not changed.
In the embodiment of the invention, an object selection list is obtained by adopting a mode of analyzing the selection habits of a user, wherein the object selection list comprises the following components: a plurality of objects to be selected; sorting each object in the plurality of objects according to the historical use information of the plurality of objects, wherein the historical use information comprises the historical selection times of each object in the plurality of objects; the object selection list is updated according to the sorting result of sorting each object in the plurality of objects according to the historical selection times, the purpose of combining the object selection list with the historical use information of the objects by the user is achieved, the objects with the historical selection times are arranged in the object selection list in the front to be recommended to the user, the technical effect of facilitating the user to select directly is achieved, and the technical problem that in the prior art, when the user selects the objects such as dimension indexes and the like, the efficiency is low when the user searches by manually dragging a scroll bar or inputs names to search is solved.
In an alternative embodiment, the editing attributes for canceling the preferential display and the preferential display may be set for a plurality of objects, that is, the user may cancel the preferential display of the object with the preferential display by editing the object attributes, the object with the preferential display being canceled may be displayed later according to a preset ordering rule of the objects set in the object selection list, or the object that cannot be displayed with the preferential display may be displayed preferentially by editing the object attributes, and the display position may be set by the user in a customized manner.
In an alternative embodiment, the historical usage information further includes a historical selection number of an object combination made up of any two or more objects in the plurality of objects, and step S106 is followed by further including:
step S202, receiving the objects selected by the user from the updated object selection list, and taking all the objects selected by the user as the selected objects after the user selects the objects each time.
Specifically, the objects that the user can select in the updated object selection list may be the first N objects that are preferentially displayed, or may not be the first N objects that are preferentially displayed.
In step S204, objects combined with the selected object among the plurality of objects are sorted according to the history selection times according to the history use information.
In step S206, the object selection list is updated based on the sorting result in which the objects combined with the selected object among the plurality of objects are sorted by the historical selection times.
Specifically, after the object selection list is updated according to the sorting result of sorting each object in the plurality of objects according to the historical selection times in step S106, the updated object selection list can be obtained, and the user can select the object from the updated object selection list.
In an alternative embodiment, after the user selects the object B, the object C, the object D, the object E, and the object F are combined with the object B according to the historical usage information, that is, after the object B, the user usually selects the object C, the object D, the object E, and the object F, where the historical selection number of the object C and the object B combined is 5, the historical selection number of the object D and the object B combined is 3, the historical selection number of the object E and the object B combined is 10, and the historical selection number of the object F and the object B combined is 25, then the object C, the object D, the object E, and the object F are sorted according to the historical selection numbers from large to small, so that a sorting result of F, E, C, D can be obtained, and according to the sorting result, the object F can be displayed at the first position of the object selection list, the object E is displayed at the second position, the object C is displayed at the third position, the object D is displayed at the fourth position, other objects which are not combined with the object B or which are combined with the object B with a smaller number of historical selections can be displayed after the objects F, E, C, D, the selection efficiency can be increased by displaying objects which are frequently selected by the user after the object B in the object selection list, if the user selects the object F after the object B, the object G, H, and I have been combined with the objects B and F according to the historical use information, that is, after selecting the objects B and F, the user usually selects the object G, H, and I, wherein the number of historical selections of the object G combined with the objects B and F is 8 times, and the number of historical selections of the object H combined with the objects B and F is 3 times, the historical selection times of the object I and the object B and the object F which form the object combination is 10 times, then after the object G, the object H and the object I are sorted from the large to the small according to the historical selection times, a sorting result of I, G, H can be obtained, according to the sorting result, the object I can be displayed at the first position of the object selection list, the object G can be displayed at the second position, the object H can be displayed at the third position, other objects which do not form the object combination with the object B and the object F or objects which form the object combination with the object B and the object F and have less historical selection times can be displayed after the object I, the object G and the object H, the selection efficiency can be accelerated by displaying the objects which are frequently selected by the user after the object B and the object F in the object selection list, if the user selects other objects after the object B and the object F, the object selection list may be updated with reference to the above-described method. Because the object which forms the object with the selected object and has the large number of times of combination is highly possible to be selected again, the object which forms the object with the selected object and has the large number of times of combination is placed at the front end of the list to be displayed, after the user selects the object each time, the user does not need to drag a scroll bar or search, the most probably selected object can be quickly identified through naked eyes, the user experience is improved, and the selection efficiency is accelerated.
In an alternative embodiment, when the object selection list is updated according to the sorting result of sorting the objects, which are combined with the selected object, according to the historical selection times, of the plurality of objects, the sorting of all the objects in the object selection list may be updated according to the sorting result of sorting the objects, which are combined with the selected object, according to the historical selection times, of the plurality of objects, the objects which are combined with the selected object, the objects which are combined with the selected; the first M objects which form the object with the selected object and have the larger number of combinations may also be displayed in the front, and the remaining objects may be sorted after the first M objects according to a preset sorting rule in the object selection list, so as to update the object selection list, where the size of M may be set by user, for example, may be set to 5 or 10, and no matter which way is adopted, the purpose of preferentially displaying the objects which form the object with the selected object and have the larger number of combinations may be achieved.
Through the steps S202 to S206, after one object is selected each time, the most possible next selected object is analyzed, then the object selection list is updated, and dynamic intelligent recommendation is performed in a priority display mode, so that the selection time is saved, the selection efficiency is improved, and the user experience is improved.
In an alternative embodiment, before step S104, the method includes:
step S302, obtaining and verifying the login information of the user.
In step S304, after the login information of the user is verified, the historical usage information of the user for the plurality of objects is called.
Step S306, the historical use information is recorded statistically.
Specifically, only after the login information of the user is verified, the historical use information of the specific user for the plurality of objects can be obtained, wherein the historical use information may be a large amount of disordered data, so that the historical use information needs to be recorded statistically, and then the historical use information which can be used conveniently is formed.
In an alternative embodiment, step S306 includes: step S402, the historical use information of each object in the plurality of objects is recorded in a statistical manner, and step S404, the historical use information of an object combination formed by any two or more objects in the plurality of objects is recorded in a statistical manner; the recording mode for carrying out statistical recording on the historical use information of each object in the plurality of objects is as follows: { a, b }, wherein a denotes an object name of any one of a plurality of objects, and b denotes a history selection number of a; the recording mode for statistically recording the historical use information of the object combination formed by any two or more than two objects in the plurality of objects is as follows: { c1, c2, …, cn, d }, where c1, c2, …, cn represents the object names of any n objects in the plurality of objects, n ≧ 2, and d represents the number of historical selections of the object combination consisting of c1, c2, …, cn.
Specifically, after the statistical record of the historical usage information is obtained, the historical usage information of each object can be conveniently obtained according to the record, and in an alternative embodiment, for example, for the object f, the historical usage information is recorded as [ { f, 10}, { f, g, 5}, { f, h, 4} ], i.e. the historical selection times of the object f are 10 times in total, where the case of selecting the object g 5 times after the object f, the case of selecting the object h 4 times after the object f, and it is also possible that once the selection is ended without selecting another object after the selection of f, if the user selects the object f, when the selection of the object is made again after the object f, the object g and the object h are preferentially displayed, and the object g is ranked higher than the object h, so that the user can directly see the objects.
Example 2
According to an embodiment of the present invention, an embodiment of a personalized object recommendation apparatus is provided, and fig. 2 is a personalized object recommendation apparatus according to an embodiment of the present invention, and as shown in fig. 2, the apparatus includes an obtaining module 101, a first sorting module 103, and a first updating module 105.
The obtaining module 101 is configured to obtain an object selection list, where the object selection list includes: a plurality of objects to be selected; the first sorting module 103 is configured to sort each object of the multiple objects according to historical usage information of the multiple objects, where the historical usage information includes the historical selection times of each object of the multiple objects; a first updating module 105, configured to update the object selection list according to a sorting result that sorts each object in the multiple objects according to the historical selection times.
In the embodiment of the present invention, an object selection list is obtained by the obtaining module 101 in a manner of analyzing a user selection habit, wherein the object selection list includes: a plurality of objects to be selected; then, the first sorting module 103 sorts each object in the plurality of objects according to the historical use information of the plurality of objects, wherein the historical use information comprises the historical selection times of each object in the plurality of objects; finally, the first updating module 105 updates the object selection list according to the sorting result of sorting each object in the plurality of objects according to the historical selection times, so that the purpose of combining the object selection list with the historical use information of the object by the user is achieved, the objects with the historical selection times are arranged in the object selection list in the front to be recommended to the user, the technical effect of facilitating the user to directly select the objects is achieved, and the technical problem that in the prior art, when the user selects the objects such as dimension indexes and the like, the efficiency is low when the user uses a manual dragging scroll bar to search or inputs names to search is solved.
It should be noted here that the above-mentioned obtaining module 101, the first ordering module 103 and the first updating module 105 correspond to steps S102 to S106 in embodiment 1, and the above-mentioned modules are the same as the examples and application scenarios realized by the corresponding steps, but are not limited to what is disclosed in embodiment 1 above. It should be noted that the modules described above as part of an apparatus may be implemented in a computer system such as a set of computer-executable instructions.
In an alternative embodiment, the historical usage information further includes a historical selection number of object combinations formed by any two or more objects in the plurality of objects, and on the basis, the apparatus further includes: a receiving module 201, a second ordering module 203, and a second updating module 205. The receiving module 201 is configured to receive an object selected by a user from the updated object selection list after the first updating module 103 updates the object selection list, and take all objects selected by the user as selected objects after the user selects the object each time; the second sorting module 203 is used for sorting the objects which form the object combination with the selected object according to the historical use information according to the historical selection times; and the second updating module 205 is configured to update the object selection list according to a sorting result that sorts the objects, which form object combinations with the selected object, among the plurality of objects according to the historical selection times.
It should be noted here that the receiving module 201, the second sorting module 203, and the second updating module 205 correspond to steps S202 to S206 in embodiment 1, and the modules are the same as the corresponding steps in the implementation example and application scenario, but are not limited to the disclosure in embodiment 1. It should be noted that the modules described above as part of an apparatus may be implemented in a computer system such as a set of computer-executable instructions.
In an alternative embodiment, the apparatus further comprises: an authentication module 301, a calling module 303 and a recording module 305. The verification module 301 is configured to obtain and verify login information of a user before the first sorting module 103 sorts each object of the multiple objects according to the historical selection times; the calling module 303 is configured to call historical use information of the user on the plurality of objects after the login information of the user is verified; a recording module 305, configured to perform statistical recording on the historical usage information.
It should be noted here that the verification module 301, the calling module 303 and the recording module 305 correspond to steps S302 to S306 in embodiment 1, and the modules are the same as the corresponding steps in the implementation example and application scenarios, but are not limited to the disclosure in embodiment 1. It should be noted that the modules described above as part of an apparatus may be implemented in a computer system such as a set of computer-executable instructions.
In an alternative embodiment, the recording module 305 includes: a first recording module 401 and a second recording module 403. The first recording module 401 is configured to perform statistical recording on historical usage information of each object in a plurality of objects; the recording mode for carrying out statistical recording on the historical use information of each object in the plurality of objects is as follows: { a, b }, wherein a denotes an object name of any one of a plurality of objects, and b denotes a history selection number of a; a second recording module 403, configured to perform statistical recording on historical usage information of an object combination formed by any two or more objects in the multiple objects; the recording mode for statistically recording the historical use information of the object combination formed by any two or more than two objects in the plurality of objects is as follows: { c1, c2, …, cn, d }, where c1, c2, …, cn represents the object names of any n objects in the plurality of objects, n ≧ 2, and d represents the number of historical selections of the object combination consisting of c1, c2, …, cn.
It should be noted here that the first recording module 401 and the second recording module 403 correspond to steps S402 to S404 in embodiment 1, and the modules are the same as the corresponding steps in the implementation example and application scenarios, but are not limited to the disclosure in embodiment 1. It should be noted that the modules described above as part of an apparatus may be implemented in a computer system such as a set of computer-executable instructions.
In an alternative embodiment, the object in the present invention may be a dimension or an index.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (6)
1. A method for personalized object recommendation, comprising:
obtaining an object selection list, wherein the object selection list comprises: a plurality of objects to be selected;
sorting each object in the plurality of objects according to historical use information of the plurality of objects, wherein the historical use information comprises the historical selection times of each object in the plurality of objects;
updating the object selection list according to a sorting result of sorting each object in the plurality of objects according to historical selection times;
wherein the historical usage information further includes a historical selection number of times of object combination formed by any two or more objects in the plurality of objects, and after the object selection list is updated according to a sorting result of sorting each object in the plurality of objects according to the historical selection number of times, the method further includes: receiving the objects selected by the user from the updated object selection list, and taking all the objects selected by the user as selected objects after the user selects the objects each time; according to the historical use information, sorting the objects which form object combinations with the selected objects according to historical selection times; updating the object selection list according to a sorting result of sorting objects which form object combinations with the selected objects according to historical selection times;
wherein before sorting each of the plurality of objects according to the historical selection times, comprising:
acquiring and verifying login information of the user; after the login information of the user is verified, calling the historical use information of the user on the plurality of objects; and carrying out statistical recording on the historical use information.
2. The method of claim 1, wherein statistically recording the historical usage information comprises:
the method comprises the steps of statistically recording historical use information of each object in a plurality of objects and statistically recording historical use information of an object combination formed by any two or more objects in the plurality of objects;
the recording mode for carrying out statistical recording on the historical use information of each object in the plurality of objects is as follows: { a, b }, wherein a denotes an object name of any one of the plurality of objects, and b denotes a history selection number of a;
the recording mode for carrying out statistical recording on the historical use information of the object combination formed by any two or more than two objects in the plurality of objects is as follows: { c1, c2, …, cn, d }, where c1, c2, …, cn represents the object names of any n objects in the plurality of objects, n ≧ 2, and d represents the number of historical selections of the object combination consisting of c1, c2, …, cn.
3. The method of claim 1 or 2, wherein the object is a dimension or an indicator.
4. A personalized object recommendation apparatus, comprising:
an obtaining module, configured to obtain an object selection list, where the object selection list includes: a plurality of objects to be selected;
the first sequencing module is used for sequencing each object in the plurality of objects according to the historical use information of the plurality of objects, wherein the historical use information comprises the historical selection times of each object in the plurality of objects;
the first updating module is used for updating the object selection list according to a sorting result of sorting each object in the plurality of objects according to historical selection times;
wherein the historical usage information further includes a historical number of selections of an object combination made up of any two or more of the plurality of objects, the apparatus further including: the receiving module is used for receiving the objects selected by the user from the updated object selection list after the first updating module updates the object selection list, and taking all the objects selected by the user as selected objects after the user selects the objects each time; the second sorting module is used for sorting the objects which form the object combination with the selected object according to the historical use information according to the historical selection times; the second updating module is used for updating the object selection list according to a sorting result of sorting the objects which form the object combination with the selected object according to the historical selection times;
wherein the apparatus further comprises: the verification module is used for acquiring and verifying the login information of the user before the first sequencing module sequences each object in the plurality of objects according to the historical selection times; the calling module is used for calling the historical use information of the user on the plurality of objects after the login information of the user passes the verification; and the recording module is used for carrying out statistical recording on the historical use information.
5. The apparatus of claim 4, wherein the recording module comprises:
the first recording module is used for carrying out statistical recording on the historical use information of each object in the plurality of objects; the recording mode for carrying out statistical recording on the historical use information of each object in the plurality of objects is as follows: { a, b }, wherein a denotes an object name of any one of the plurality of objects, and b denotes a history selection number of a;
the second recording module is used for carrying out statistical recording on historical use information of an object combination formed by any two or more objects in the plurality of objects; the recording mode for statistically recording the historical use information of the object combination formed by any two or more than two objects in the plurality of objects is as follows: { c1, c2, …, cn, d }, where c1, c2, …, cn represents object names of any n objects in the plurality of objects, n ≧ 2, and d represents the number of historical selections of an object combination consisting of c1, c2, …, cn.
6. The apparatus of claim 4 or 5, wherein the object is a dimension or an indicator.
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| CN109637101A (en) * | 2018-12-14 | 2019-04-16 | 平安城市建设科技(深圳)有限公司 | Net about vehicle processing method, device, equipment and readable storage medium storing program for executing |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104657412A (en) * | 2013-11-21 | 2015-05-27 | 商业对象软件有限公司 | Recommendation system for specifying and achieving goals |
| CN105740323A (en) * | 2016-01-21 | 2016-07-06 | 厦门市三驾马车网络科技有限公司 | Resource characteristic and user preference-based resource matching recommendation method and system |
| CN105873041A (en) * | 2016-05-20 | 2016-08-17 | 乐视控股（北京）有限公司 | Automatic WiFi connecting method and device as well as mobile terminal |
| CN106055645A (en) * | 2016-05-30 | 2016-10-26 | 天津大学 | Dimensionality quality estimation method for high-dimensional data analysis |
Family Cites Families (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103136257B (en) * | 2011-11-30 | 2016-09-28 | 阿里巴巴集团控股有限公司 | Information providing method and device thereof |
| CN103425678B (en) * | 2012-05-18 | 2016-09-28 | 阿里巴巴集团控股有限公司 | The system of selection of the recommendation information of a kind of business object and device |
| CN103841122B (en) * | 2012-11-20 | 2017-07-28 | 阿里巴巴集团控股有限公司 | Target object information recommends method, server and client |
| CN104809130B (en) * | 2014-01-27 | 2019-03-08 | 腾讯科技（深圳）有限公司 | Method, equipment and the system of data query |
| CN103902697B (en) * | 2014-03-28 | 2018-07-13 | 百度在线网络技术（北京）有限公司 | Combinatorial search method, client and server |
| CN104243590B (en) * | 2014-09-19 | 2017-10-13 | 广州华多网络科技有限公司 | Resource object recommends method and apparatus |
| CN104537114B (en) * | 2015-01-21 | 2018-05-15 | 清华大学 | Personalized recommendation method |
| CN105975472A (en) * | 2015-12-09 | 2016-09-28 | 乐视网信息技术（北京）股份有限公司 | Method and device for recommendation |
-
2016
- 2016-12-29 CN CN201611270533.7A patent/CN108255893B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104657412A (en) * | 2013-11-21 | 2015-05-27 | 商业对象软件有限公司 | Recommendation system for specifying and achieving goals |
| CN105740323A (en) * | 2016-01-21 | 2016-07-06 | 厦门市三驾马车网络科技有限公司 | Resource characteristic and user preference-based resource matching recommendation method and system |
| CN105873041A (en) * | 2016-05-20 | 2016-08-17 | 乐视控股（北京）有限公司 | Automatic WiFi connecting method and device as well as mobile terminal |
| CN106055645A (en) * | 2016-05-30 | 2016-10-26 | 天津大学 | Dimensionality quality estimation method for high-dimensional data analysis |
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