WO2017133704A1

WO2017133704A1 - User setting-based object ordering method and device

Info

Publication number: WO2017133704A1
Application number: PCT/CN2017/072966
Authority: WO
Inventors: 徐璇炫
Original assignee: 徐璇炫
Priority date: 2016-02-07
Filing date: 2017-02-06
Publication date: 2017-08-10
Also published as: CN105761106A

Abstract

Provided are a user setting-based object ordering method and device. The method comprises: acquiring a dimension and a weight corresponding to the dimension, set by a user, of an object to be ordered; calculating a score value of the object to be ordered according to the dimension and the weight corresponding thereto; ordering the object to be ordered according to the score value, and obtaining the ordered object; and providing the ordered object for the user. Compared with the prior art, a dimension and a corresponding weight of an object to be ordered are set by a user initiative, so that the ordered object is more desirable for the user, thereby improving the usage experience of the user.

Description

Method and device for sorting objects based on user settings

Cross-reference to related applications

The present application has priority to the Chinese Patent Application No. 201610084398.0, entitled "A Method and Apparatus for Object Sorting Based on User Settings", the contents of which are hereby incorporated by reference. Merge here.

Technical field

The present invention relates to the field of computer technologies, and in particular, to a technique for performing object sorting based on user settings.

Background technique

In the existing sorting method, the user has no direct and effective means to collect product data that is potentially in conformity with the requirements, so that there is no way to compare the data of the product. Moreover, the user cannot summarize the massive product data and obtain a comprehensive ranking by reasonable calculation according to his own expectations for each dimension. In the existing sorting method, the order of fixed input and output is usually used, and the difference of the needs of different users cannot be reflected, and the participation of dimensions and weights is lacking. When multiple sorting conditions occur, in most cases, conditions are mutually exclusive, and the user cannot obtain a sorting result that meets his or her own expectations.

Therefore, how to efficiently perform object sorting, so that the sorted objects are more in line with user expectations, is one of the problems that those skilled in the art need to solve.

Summary of the invention

It is an object of the present invention to provide a method and apparatus for object sorting based on user settings.

According to an aspect of the present invention, a method for object sorting based on user settings is provided, wherein the method comprises the following steps:

a acquiring the dimension of the object to be sorted set by the user and the weight corresponding to the dimension;

b calculating, according to the dimension and the weight corresponding thereto, a score value of the object to be sorted;

c sorting the objects to be sorted according to the score value, and obtaining the sorted objects;

d providing the sorted object to the user.

Preferably, the method further comprises:

Adjusting a dimension of the object to be sorted and a weight corresponding thereto according to a cognitive calculation of the network data;

Wherein the step b comprises:

And calculating a score value of the object to be sorted according to the adjusted dimension and the corresponding weight.

Preferably, the method further comprises:

e acquiring the demand input by the user;

f according to the requirement, the screening obtains an object corresponding to the requirement as the object to be sorted.

More preferably, the step f further includes:

Semantic analysis is performed on the requirement, and combined with cognitive calculation, the object corresponding to the requirement is obtained by screening to be the object to be sorted.

Preferably, each dimension of the object to be sorted includes at least one sub-dimension, wherein the method further includes:

Dimensing a dimension of the object to be sorted set by the user and a weight corresponding thereto to obtain at least one sub-dimension and a weight corresponding to the sub-dimension;

Wherein the step b comprises:

And calculating, according to the at least one sub-dimension and the corresponding weight thereof, a scoring value of the object to be sorted.

Preferably, the method further comprises:

Obtaining the dimension priority set by the user;

Wherein the step b comprises:

Calculating the scoring value of the object to be sorted according to the dimension and its corresponding weight, combined with the dimension priority.

Preferably, the method further comprises:

Obtaining, by the user, a selection of the sorted object;

Based on the selection, the user's preferences are learned.

More preferably, the method further comprises:

Adjusting, according to the preference of the user, a dimension of the object to be sorted and a weight corresponding thereto;

Wherein the step b comprises:

Preferably, the dimension of the object to be sorted includes at least one of the following:

Location dimension

Price dimension

Service dimension

Scheduled terms dimension;

Industry-specific dimensions.

According to another aspect of the present invention, there is also provided a sorting device for sorting objects based on user settings, wherein the sorting device comprises:

a dimension acquiring device, configured to acquire a dimension of the object to be sorted set by the user and a weight corresponding to the dimension;

a calculating device, configured to calculate a score value of the object to be sorted according to the dimension and a weight corresponding thereto;

a sorting device, configured to sort the objects to be sorted according to the score value, and obtain the sorted objects;

Providing means for providing the sorted object to the user.

Preferably, the sorting device further includes:

a first adjusting device, configured to adjust a dimension of the object to be sorted and a weight corresponding thereto according to a cognitive calculation of the network data;

Wherein the computing device is used to:

Preferably, the sorting device further includes:

a demand acquisition device, configured to acquire a demand input by the user;

And a screening device, configured to: according to the requirement, select an object corresponding to the requirement as the object to be sorted.

More preferably, the screening device is further configured to:

Preferably, each dimension of the object to be sorted includes at least one sub-dimension, wherein the sorting device further includes:

a dimension conversion device, configured to perform dimension conversion on a dimension of the object to be sorted set by the user and a weight corresponding thereto, to obtain at least one sub-dimension and a weight corresponding to the sub-dimension;

Wherein the computing device is used to:

Preferably, the sorting device further includes:

a priority acquiring device, configured to acquire a dimension priority set by the user;

Wherein the computing device is used to:

Preferably, the sorting device further includes:

Selecting an obtaining device, configured to acquire, by the user, a selection of the sorted object;

Learning means for learning the preferences of the user based on the selection.

More preferably, the sorting device further comprises:

a second adjusting device, configured to adjust a dimension of the object to be sorted and a weight corresponding thereto according to the preference of the user;

Wherein the computing device is used to:

Location dimension

Price dimension

Service dimension

Scheduled terms dimension;

Industry-specific dimensions.

Compared with the prior art, the present invention obtains the dimension of the object to be sorted set by the user and the weight corresponding to the dimension, and calculates the score value of the object to be sorted according to the dimension and the weight corresponding thereto, according to the The score value is used to sort the objects to be sorted, obtain the sorted objects, and provide the sorted objects to the user, and the user sets the dimensions of the objects to be sorted and the corresponding weights from the line, so that after sorting The object is more in line with the user's expectations and enhances the user experience.

Further, the present invention obtains the dimension of the object to be sorted set by the user and the weight corresponding to the dimension, and calculates a score value of the object to be sorted according to the dimension and the weight corresponding thereto, according to the score value, Sorting the objects to be sorted, obtaining the sorted objects, providing the sorted objects to the user, and setting a dimension and a corresponding weight of the objects to be sorted by the user from the row, so that the sorted objects are more consistent The user's expectations enhance the user experience.

Further, according to the requirements input by the user, the invention selects and obtains the object satisfying the requirement to participate in the sorting, and further, combines the semantic analysis and the cognitive calculation, so that the selected object further satisfies the user's demand and improves the user experience. .

Further, the dimension of the object to be sorted and the corresponding weight are dimensionally converted, and the sorted sub-dimension and the corresponding weight are sorted, so that the sorting result is more accurate and more in line with user expectations, thereby further improving the user experience.

Further, the present invention also takes into account the dimension priority set by the user for the dimension when sorting the objects to be sorted, so that the sorting result is more in line with the user's expectation, further Increased user experience.

Further, the present invention learns the user's preference, adjusts the dimension of the object to be sorted and the corresponding weight based on the user's preference, or further combines the cognitive calculation adjustment dimension and the corresponding weight, so that the ranking result is more in line with the user's expectation, and further improves. The user experience.

DRAWINGS

Other features, objects, and advantages of the present invention will become more apparent from the Detailed Description of Description

1 shows a schematic structural diagram of an apparatus for object sorting based on user settings, according to an aspect of the present invention;

2 is a block diagram showing an arrangement of an apparatus for sorting objects based on user settings, in accordance with a preferred embodiment of the present invention;

3 shows a flow diagram of a method for object sorting based on user settings in accordance with another aspect of the present invention.

The same or similar reference numerals in the drawings denote the same or similar components.

detailed description

Before discussing the exemplary embodiments in more detail, it should be noted that some exemplary embodiments are described as a process or method depicted as a flowchart. Although the flowcharts describe various operations as a sequential process, many of the operations can be implemented in parallel, concurrently or concurrently. In addition, the order of operations can be rearranged. The process may be terminated when its operation is completed, but may also have additional steps not included in the figures. The processing may correspond to methods, functions, procedures, subroutines, subroutines, and the like.

By "computer device", also referred to as "computer" in the context, is meant an intelligent electronic device that can perform predetermined processing, such as numerical calculations and/or logical calculations, by running a predetermined program or instruction, which can include a processor and The memory is executed by the processor to execute a predetermined process pre-stored in the memory to execute a predetermined process, or is executed by hardware such as an ASIC, an FPGA, a DSP, or the like, or a combination of the two. Computer equipment Including but not limited to servers, personal computers, laptops, tablets, smartphones, etc.

The computer device includes a user device and a network device. The user equipment includes, but is not limited to, a computer, a smart phone, a PDA, etc.; the network device includes but is not limited to a single network server, a server group composed of multiple network servers, or a cloud computing based computer Or a cloud composed of a network server, wherein cloud computing is a type of distributed computing, a super virtual computer composed of a group of loosely coupled computers. Wherein, the computer device can be operated separately to implement the present invention, and can also access the network and implement the present invention by interacting with other computer devices in the network. The network in which the computer device is located includes, but is not limited to, the Internet, a wide area network, a metropolitan area network, a local area network, a VPN network, and the like.

It should be noted that the user equipment, the network equipment, the network, and the like are merely examples, and other existing or future possible computer equipment or networks, such as those applicable to the present invention, are also included in the scope of the present invention. It is included here by reference.

The methods discussed below, some of which are illustrated by flowcharts, can be implemented in hardware, software, firmware, middleware, microcode, hardware description languages, or any combination thereof. When implemented in software, firmware, middleware or microcode, the program code or code segments to carry out the necessary tasks can be stored in a machine or computer readable medium, such as a storage medium. The processor(s) can perform the necessary tasks.

The specific structural and functional details disclosed are merely representative and are for the purpose of describing exemplary embodiments of the invention. The present invention may, however, be embodied in many alternative forms and should not be construed as being limited only to the embodiments set forth herein.

It should be understood that although the terms "first," "second," etc. may be used herein to describe the various elements, these elements should not be limited by these terms. These terms are used only to distinguish one unit from another. For example, a first unit could be termed a second unit, and similarly a second unit could be termed a first unit, without departing from the scope of the exemplary embodiments. The term "and/or" used herein includes any and all combinations of one or more of the associated listed items.

It should be understood that when a unit is referred to as "connected" or "coupled" to another order In meta time, it may be directly connected or coupled to the other unit, or an intermediate unit may be present. In contrast, when a unit is referred to as being "directly connected" or "directly coupled" to another unit, there is no intermediate unit. Other words used to describe the relationship between the units should be interpreted in a similar manner (eg "between" and "directly between" and "adjacent to" Than "directly adjacent to", etc.).

The terminology used herein is for the purpose of describing the particular embodiments, The singular forms "a", "an", It is also to be understood that the terms "comprising" and """ Other features, integers, steps, operations, units, components, and/or combinations thereof.

It should also be noted that, in some alternative implementations, the functions/acts noted may occur in a different order than that illustrated in the drawings. For example, two figures shown in succession may in fact be executed substantially concurrently or sometimes in the reverse order, depending on the function/acts involved.

The invention is further described in detail below with reference to the accompanying drawings.

1 shows a block diagram of an apparatus for object sorting based on user settings, in accordance with an aspect of the present invention. The sorting device 1 is for example located in a computer device comprising a dimension acquisition means 101, a computing means 102, a sorting means 103 and a providing means 104.

The following is a detailed description of the device in which the sorting device 1 is located in the network device. The sorting device 1 is connected to the user device through the network, and obtains the dimension of the object to be sorted and the weight corresponding to the dimension set by the user acquired by the user device. Calculating a score value of the object to be sorted according to the dimension and the corresponding weight; sorting the object to be sorted according to the score value, obtaining the sorted object; and sorting the object Provided to the user equipment for viewing by the user. Here, the user equipment includes, but is not limited to, a personal computer, a notebook computer, a tablet computer, a smart phone, a PDA, etc., through which the user completes the setting of the dimension of the object to be sorted and the corresponding weight, thereby obtaining the sorted Object.

The dimension obtaining apparatus 101 acquires a dimension of the object to be sorted set by the user, and the The weight corresponding to the dimension.

Specifically, the user inputs the dimension of the object to be sorted and the weight corresponding to the dimension in the input box through interaction with the user equipment, or selects the object to be sorted that the user desires to set in the dimension and weight options provided to the user. The dimension and the weight corresponding to the dimension; the dimension obtaining means 101 acquires the user by interacting with the user equipment, for example, by calling the application program interface (API) provided by the user equipment one or more times or other agreed communication methods. The dimension of the object to be sorted and the weight corresponding to the dimension.

For example, by interacting with the user equipment, the user inputs the dimension of the object to be sorted in the input box of the page related to the sorting of the object to be sorted, such as inputting the position dimension, the price dimension, and the service dimension, and inputting each dimension A certain weight, such as the weight of the input location dimension is 0.2, the weight of the price dimension is 0.5, and the weight of the service dimension is 0.3, and the dimension obtaining apparatus 101 acquires the object to be sorted input by the user through interaction with the user equipment. The dimension and the weight corresponding to the dimension. Here, the sum of the weights corresponding to the respective dimensions is 1.

For example, in the page related to the sorting of the object to be sorted, various dimension options of the object to be sorted are provided, and the user selects the dimension that is desired to be set by the user through interaction with the user device, for example, the location dimension is provided in the page. The price dimension, the service dimension, the predetermined terms dimension, and the industry-specific dimension, and the user selects the location dimension, the price dimension, and the service dimension. In addition, for each dimension, weight options for different values are provided. For example, weight options for each value from 0 to 1 are provided. The user further selects and selects the corresponding weight for each dimension, such as The weight of the location dimension is selected as 0.2, the weight of the price dimension is selected as 0.5, and the weight of the service dimension is selected as 0.3. The dimension acquisition device 101 obtains the object to be sorted selected by the user through interaction with the user equipment. The dimension and the weight corresponding to the dimension.

Preferably, the user's dimension and weight setting of the object to be sorted may be combined with a manual selection and a check option. For example, the user selects the dimension that he wants to set in each dimension option provided, and for each The weight of the selected dimension can be manually entered into a specific value; of course, the user can also manually input the dimension of the object to be sorted, and the specific value of the weight of the input dimension is checked.

Preferably, the weights corresponding to the dimensions and dimensions of the objects to be sorted set by the user may be only some of the dimensions and weights of all the dimensions and weights, and the rest may be set by the system.

It should be understood by those skilled in the art that the manner of obtaining the dimension of the object to be sorted and the corresponding weight set by the user is only an example, and other existing or future possible appearances of the object to be sorted set by the user and corresponding The manner of weighting is applicable to the present invention, and is also included in the scope of the present invention, and is not described herein again, and is hereby incorporated by reference.

Location dimension

Price dimension

Service dimension

Scheduled terms dimension;

Industry-specific dimensions.

Here, for the objects to be sorted of non-standardized products such as hotels, restaurants, conference services, travel arrangements, location dimensions such as the specific location, location value, traffic status, etc. of the objects to be sorted, for standardized products such as various commodities. The object to be sorted, the location dimension, such as the place of delivery of the product, the place of production, and the like. For example, if the user prefers the products shipped in Jiangsu, Zhejiang and Shanghai, it can increase the weight of the position dimension, so as to satisfy the higher order of the goods in the place of delivery in Jiangsu, Zhejiang and Shanghai; for example, the user has higher weight on the origin of the goods. The order of goods produced from the counterfeit goods is more backward, and the order of goods produced from the special origin is more advanced. For example, for cashmere goods, the order from Ordos is more advanced.

The price dimension can be either the total price of the item or the unit price of the item, such as the unit price of each item, or the price of the item per unit weight.

Service dimensions include, but are not limited to, after-sales, warranty, extended warranty services provided by merchants, credit card or installment services, star ratings for hotels, restaurants, conference services, travel arrangements, and other users' ratings.

The terms and conditions of the reservation include, but are not limited to, some of the terms offered by the merchant, such as buying five get one free, booking 100 rooms, free use of meeting rooms, etc., or other such as Scheduled terms such as old renewal, unconditional return and exchange within seven days.

The industry-specific dimension refers to the unique dimensions of each industry. For example, for the hotel industry, the hotel's facility dimension can be regarded as the industry-specific dimension of the hotel industry. The hotel's facility dimensions such as whether the hotel has a swimming pool, gym, meeting room and other facilities. The richness of the hotel facilities and the design of the old and new can be included as a unique dimension of the industry.

Preferably, the setting of the dimension and the weight of the user to be sorted may be not only the above-mentioned location dimension, price dimension, service dimension, predetermined term dimension, industry-specific dimension, but also a wider dimension, or may be included in these dimensions. Subdimension of the subdivision. For example, taking a hotel reservation as an example, the location dimension includes sub-dimensions of the hotel's specific location, location value, traffic status, etc., and the user can set the subdimens of these subdivisions when setting the dimensions and weights of the hotel. And its weight, for example, two sub-dimensions of specific position and lot value are selected from the above three sub-dimensions, and corresponding weights are set for them.

Those skilled in the art should understand that the dimensions of the objects to be sorted are only examples, and other existing or future possible dimensions of the objects to be sorted may be applicable to the present invention and should also be included in the scope of the present invention. It will not be described here, and is included here by reference.

The computing device 102 calculates a scoring value of the object to be sorted according to the dimension and its corresponding weight.

Specifically, the computing device 102 combines the dimension of the object to be sorted and the weight corresponding thereto by the dimension acquired by the dimension acquiring device 101, and combines the scoring of the object to be sorted in each set dimension, for example, by weighting calculation. Calculate the score value of each object to be sorted. For example, the dimension of the object to be sorted set by the user acquired by the dimension obtaining device 101 is a location dimension, a price dimension, and a service dimension, and the weights corresponding to the dimensions are respectively 0.2, 0.5, and 0.3; assuming that the object A to be sorted is in the location dimension The score is divided into 10 points, the score of the price dimension is divided into 8 points, and the score of the service dimension is divided into 9 points. Then, the computing device 102 determines, according to the above data, the score value of the object A to be sorted is 10*0.2+8. *0.5+9*0.3=8.7 points.

Here, the scoring value corresponding to each dimension can be obtained, for example, by industry experience and benchmarking, for example, for the hotel, restaurant, conference service, travel arrangement, waiting for the sorting object Set the dimension, the perfect score is 10 points. If the specific position of the object to be sorted meets the distance requirement of the user, the score is full. If the distance is exceeded, the score is deducted. In another example, the position dimension of the product produced from the counterfeit concentration is lower, and the score of the position dimension of the product produced from the featured place is higher.

Here, the full score of each dimension may be the same or different, and may be preset by the system or set by the user. In a preferred embodiment, each dimension is evenly assigned a full score of the total score value. For example, assuming that the total score has a full score of 100 points and there are 5 dimensions in total, the score of each dimension has a perfect score of 20 points.

Those skilled in the art should understand that the manner of calculating the score value of the object to be sorted is only an example, and other existing or future possible methods for calculating the score value of the object to be sorted may be applicable to the present invention, and should also include Within the scope of the present invention, the details are not described herein, and are included herein by reference.

The sorting device 103 sorts the objects to be sorted according to the score value, and obtains the sorted objects.

Specifically, the sorting device 103 sorts the objects to be sorted according to the score value calculated by the computing device 102, for example, according to the level of the score, sorts the objects to be sorted according to the score value from high to low, thereby obtaining the sort. After the object. In the above example, the computing device 102 determines, by calculation, that the score of the object A to be sorted is 8.7, and the score of the object B to be sorted is calculated to be 9.0, and the score of the object to be sorted C is calculated to be 8.5; Then, the sorting device 103 sorts the objects to be sorted according to the scoring value of the objects to be sorted according to the scoring value from the highest to the bottom, and obtains the sorted objects as B, A, and C.

Those skilled in the art should understand that the manner of sorting the objects to be sorted is only an example, and other existing or future possible sorting objects to be sorted may be applicable to the present invention and also included in the present invention. The scope of protection is not described here, and is hereby incorporated by reference.

The providing device 104 provides the sorted object to the user.

Specifically, the providing device 104 sorts the objects sorted by the sorting device 103, for example, by calling a dynamic page technology such as JSP, ASP, or PHP one or more times to the agreed display side. , provided to the user. For example, the providing device 104 provides the sorted object to the user in a predetermined number of forms per page, and the user can continue to view the sorted objects by pulling down the screen or clicking the "next page" icon button.

Preferably, the providing device 104 can also provide the user with the dimension set by the user, and the score value of the sorted object in the dimension, or the specific information in the dimension, to the user, thereby facilitating the user. View. For example, when the user sets the location dimension, the providing device 104 may obtain specific location information of the sorted object, such as the place of delivery, the place of production, or the specific geographical location, location value, traffic status, and the like, and The scoring value in the position dimension or the detailed scoring value of each specific location information is provided to the user together.

Those skilled in the art should understand that the manner in which the sorted objects are provided to the user is only an example, and other existing or future possible ways of providing the sorted objects to the user may be applied to the present invention. It is intended to be included within the scope of the present invention, and is not described herein, and is hereby incorporated by reference.

Here, the sorting device 1 acquires the dimension of the object to be sorted set by the user and the weight corresponding to the dimension, and calculates a score value of the object to be sorted according to the dimension and the weight corresponding thereto, according to the score value. Sorting the objects to be sorted, obtaining the sorted objects, providing the sorted objects to the user, and setting a dimension and a corresponding weight of the objects to be sorted by the user from the row, so that the sorted objects are more Meet the user's expectations and improve the user experience.

Preferably, the sorting device 1 further comprises a first adjusting device. The first adjusting device adjusts a dimension of the object to be sorted and a weight corresponding thereto according to the cognitive calculation of the network data, wherein the computing device 102 determines the dimension according to the adjusted dimension and the corresponding weight thereof. Calculating a scoring value of the object to be sorted.

Specifically, because there is a huge amount of data on the network, and new data information will emerge every moment, and the user may not be able to obtain the data information in time, and by calculating the massive network data, The user is informed of the data information in time, and adjusts the dimensions of the object to be sorted and the corresponding weights in time; thus, the computing device 102 can more accurately calculate the score value of the object to be sorted according to the adjusted dimension and weight. The sorting means 103 can sort these objects to be sorted more precisely.

Taking a hotel reservation as an example, suppose a large conference is being held in a certain location. Due to traffic control and other factors, it affects the traffic status of the lot. For users who book a hotel, they may not know the information, and the first adjustment The device can obtain the information in time through the cognitive calculation of the network data, thereby adjusting the weight or scoring value of the location dimension of the hotel located in the lot, for example, lowering the weight or scoring of the traffic state dimension of the hotel in the lot. Values; subsequently, the computing device 102 calculates the scores for each hotel based on the adjusted dimensions and their corresponding weights, combined with the scores of the various hotels in that dimension.

Those skilled in the art should be able to understand that the above-mentioned manner of cognitive calculation of network data is only an example, and other existing or future possible cognitive calculations for network data may be applied to the present invention, and should also include Within the scope of the present invention, the details are not described herein, and are included herein by reference.

Here, the sorting device 1 further combines the cognitive calculation of the network data, adjusts the dimension of the object to be sorted and the corresponding weight, so that the sorting of the object is more accurate, more in line with the user's expectation, and further improves the user experience.

Preferably, the sorting device 1 further comprises a demand acquisition device and a screening device. The demand acquisition device acquires the demand input by the user; and the screening device selects an object corresponding to the requirement according to the requirement to serve as the object to be sorted.

Specifically, the user may have a certain requirement that, through interaction with the user equipment, input its detailed requirements in a place such as an input box, for example, assuming that the user needs to reserve a hotel, which may be in an input box of the hotel reservation page, Input requirements are “natural lighting, convenient transportation, meeting rooms with a capacity of more than 1000 people, high barrier-free floor requirements, heavy equipment direct access to the venue”, etc.; the demand acquisition device interacts with the user equipment, for example by calling one or more times. An application program interface (API) or other agreed communication method provided by the user equipment acquires detailed requirements input by the user; and then, the screening device filters the objects according to the user's needs, thereby filtering and satisfying the user. The objects of the demand, and these objects are regarded as objects to be sorted; then, the sorting device 1 sorts the objects to be sorted according to the dimensions and weights set by the user on the basis of the objects to be sorted.

Preferably, the demand acquisition device can also deposit the demand input by the user. In the database, and cache. Here, the requirements of the cache user input can solve the following problems: 1) the lack of maintainability and business scalability of the SQL (Structured Query Language) joint investigation method; 2) slow down the database pressure, using the cache The way to read and write the separation of business data; 3) solve the problem of data synchronization by system work. When the user input changes, for example, the user modifies the original requirement, the system will update the queue to obtain the latest input data changes, and update the user input requirements for caching.

Preferably, the sorting device 1 can also guide the user to modify its requirements. For example, when the screening device fails to filter out objects that meet the user's needs, the sorting device 1 can guide the user to modify their requirements, thereby filtering out objects that meet the user's needs. .

More preferably, the screening device further performs semantic analysis on the requirement, and combines cognitive calculation to select an object corresponding to the requirement as the object to be sorted.

Specifically, according to the requirement input by the user, the screening device performs semantic analysis on the requirement, for example, performing processing such as cutting, denoising, and semantic analysis on the character string input by the user, obtaining the processed character string, and combining the cognition Calculate, filter to obtain the object that meets the user's needs, and use it as the object to be sorted that participates in the sorting. For example, suppose the user needs to book a hotel, and enters the demand "high on" in the input box of the hotel reservation page, then the screening device performs semantic analysis on the demand, and then combines cognitive calculations, for example, converting the user demand into actual demand. “Located in the city center, five-star or above, luxury brand hotels, well-known hotels”.

It should be understood by those skilled in the art that the manner of combining the cognitive computing screening to obtain an object satisfying the user's needs is only an example, and other existing or future possible combined cognitive computing screening methods can obtain an object satisfying the user's needs. The invention is also intended to be included within the scope of the invention, and is not described herein, and is hereby incorporated by reference.

Here, the sorting device 1 selects and obtains the object satisfying the demand to participate in the sorting according to the demand input by the user, and further combines the semantic analysis and the cognitive calculation, so that the selected object further satisfies the user's demand and improves the user's use. Experience.

Preferably, each dimension of the object to be sorted includes at least one sub-dimension, wherein The sorting device 1 also includes a dimension conversion device. The dimension conversion device performs dimensional transformation on the dimension of the object to be sorted set by the user and the weight corresponding thereto to obtain at least one sub-dimension and a weight corresponding to the sub-dimension; wherein the computing device 102 is configured according to The at least one sub-dimension and the corresponding weight thereof are calculated, and the scoring value of the object to be sorted is calculated.

Specifically, each dimension of the object to be sorted may include at least one sub-dimension, for example, the location dimension may further include a sub-dimension such as a distance, a lot value, a traffic state, and the like. Similarly, other dimensions may also include their corresponding sub-dimensions, which are not detailed here. After the user sets the dimensions and corresponding weights for the objects to be sorted, the dimension conversion device can perform dimensional transformation on the dimensions and weights, and convert the broader dimensions into more sub-dimensions, for example, converting the position dimension and its weights. The sub-dimensions such as distance, location value, traffic status, and the weights corresponding to these sub-dimensions. Here, the basis of the conversion is, for example, based on industry experience and benchmarks, or according to user settings, for example, the user setting distance is mandatory, and the location value and traffic state are preferred, and the user sets the weight for the location dimension to be 0.2, then After the dimension conversion device converts the position dimension into a sub-dimension of the distance, the lot value and the traffic state, the weight of the distance is 0.1, and the weight of the lot value and the traffic state are both 0.05. Then, the computing device 102 calculates the scoring value of the object to be sorted according to the converted at least one sub-dimension and the corresponding weight.

In the above example, it is assumed that the dimensions of the object to be sorted set by the user acquired by the dimension obtaining device 101 are a location dimension, a price dimension, and a service dimension, and the weights corresponding to the dimensions are respectively 0.2, 0.5, and 0.3; and the dimension conversion device After the position dimension is converted into the sub-dimension of distance, location value and traffic state, the weight of the distance is 0.1, the weight of the lot value and the traffic state are both 0.05, and the object A to be sorted is scored 10 points in the distance sub-dimension, in the lot. The score of the value sub-division is divided into 8 points, the score of the sub-dimension of the traffic state is divided into 10 points, the score of the price dimension is divided into 8 points, and the score of the service dimension is divided into 9 points, and the computing device 102 calculates the weight according to the above data. It is determined that the score of the object A to be sorted is 10*0.1+8*0.05+10*0.05+8*0.5+9*0.3=8.6 points.

Here, the dimension conversion device may perform dimensional conversion on all dimensions and weights set by the user, or may only convert some of the dimensions and weights therein.

Those skilled in the art should understand that the above manner of dimension conversion of dimensions and weights is only an example, and other existing or future possible ways of dimensionally transforming dimensions and weights may be applicable to the present invention, and should also include Within the scope of the present invention, the details are not described herein, and are included herein by reference.

Here, the sorting device 1 performs dimension conversion on the dimensions and corresponding weights of the objects to be sorted, sorts the sub-dimensions based on the converted sub-dimensions and corresponding weights, so that the sorting result is more accurate, more in line with user expectations, and further improves the user experience. .

Preferably, the sorting device 1 further comprises priority acquisition means. The priority obtaining device acquires the dimension priority set by the user; wherein the computing device 102 calculates the score of the object to be sorted according to the dimension and its corresponding weight, combined with the dimension priority. value.

Specifically, for each dimension of the object to be sorted, the user may also set a priority for each dimension, for example, setting each dimension as "preferred" or "required", or, further, setting a certain dimension for each dimension. Level, under the same weight, the higher the priority of the dimension, the higher the score. The priority acquisition device acquires the dimension priority set by the user by interacting with the user device, for example, by calling an application program interface (API) or other agreed communication manner provided by the user device one or more times; subsequently, the computing device 102 According to the dimension of the object to be sorted and the corresponding weight, the dimension priority of each dimension is comprehensively considered, and the score of the object to be sorted is calculated.

Preferably, for the sub-dimension corresponding to each dimension, if the priority corresponding to the sub-dimension is higher, the dimension conversion device converts the weight value obtained by the sub-dimension when the dimension conversion is performed.

Here, the sorting device 1 also takes into account the dimension priority set by the user for the dimension when sorting the objects to be sorted, so that the sorting result is more in line with the user's expectation, and further improves the user experience.

Preferably, the sorting device 1 further comprises a selection acquisition device and a learning device. The selection obtaining means acquires the selection of the sorted object by the user; the learning means learns the preference of the user according to the selection.

Specifically, the user performs the sorted object provided by the providing device 104. Alternatively, the selection obtaining means acquires a selection made by the user, for example, by calling an application program interface (API) or other agreed communication means provided by the user equipment one or more times; the learning means acquires the acquisition according to the selection means The user's selection, learning the user's preferences, and storing the preferences for use by the user to sort the sorted objects next time.

For example, although the user usually sets the weight of the price dimension to be low, the user's selection of the sorted object is often price-oriented, and often the object with a lower price is selected. The user acquires the user's selection each time the object is selected; the learning device learns the user's preference according to the user's selection of the lower-priced object, that is, the user actually prefers the object with a lower price, and the user The preferences are stored.

More preferably, the sorting device 1 further comprises a second adjusting device. The second adjusting device adjusts the dimension of the object to be sorted and the corresponding weight according to the preference of the user; wherein the computing device 102 calculates the location according to the adjusted dimension and the corresponding weight thereof. The score value of the sorted object is mentioned.

Specifically, according to the preference of the user learned by the learning device, the second adjusting device adjusts the dimension of the object to be sorted and the corresponding weight thereof, so that the adjusted dimension and weight are more in line with the user's preference; The computing device 102 calculates a scoring value of the object to be sorted according to the adjusted dimension and its corresponding weight.

In the above example, the learning device learns the user's preference according to the user's choice of the object with lower price, that is, the user actually prefers the object with lower price and stores the user's preference; then, when the user When the dimension object is set again to be dimensioned, and the weight of the price dimension is set lower, the second adjusting device automatically increases the weight of the price dimension for the user according to the user's preference for the low price, so that when the final sorting is performed, The top ranked object is more in line with the user's needs; subsequently, the computing device 102 calculates the scoring value of the object to be sorted based on the adjusted dimensions and weights of the second adjusting device.

Preferably, the sorting device 1 can automatically adjust the dimension of the object to be sorted and the corresponding weight according to the preference of the user, and can also adjust the dimension of the object to be sorted and the corresponding weight based on the cognitive calculation of the network data. It can be combined.

Here, the sorting device 1 learns the user's preference, adjusts the dimension of the object to be sorted and the corresponding weight based on the user's preference, or further combines the cognitive calculation adjustment dimension and the corresponding weight, so that the sorting result is more in line with the user's expectation, further Improve the user experience.

The interaction between the various devices on the sorting device 1 is specifically described below in a preferred embodiment, as shown in FIG. 2, which shows a device for sorting objects based on user settings in accordance with a preferred embodiment of the present invention. Schematic diagram of the structure.

Specifically, the demand acquisition device acquires a requirement input by the user; the screening device selects an object corresponding to the requirement according to the requirement, as the object to be sorted, or performs semantic analysis on the requirement, and combines a cognitive calculation, the screening obtains an object corresponding to the requirement as the object to be sorted; the dimension obtaining device 101 acquires a dimension of the object to be sorted set by the user and a weight corresponding to the dimension; the first adjusting device is based on The cognitive calculation of the network data, the dimension of the object to be sorted and the corresponding weight thereof are adjusted; the dimension conversion device performs dimensional transformation on the dimension of the object to be sorted set by the user and the corresponding weight thereof to obtain At least one sub-dimension and a weight corresponding to the sub-dimension; the second adjusting device adjusts a dimension of the object to be sorted and a weight corresponding thereto according to the preference of the user; where the preference of the user is determined by the learning device Obtaining according to the user's selection of the sorted object; the computing device 102 according to the adjusted dimension and Corresponding weights, calculating a score value of the object to be sorted, or calculating a score value of the object to be sorted according to at least one sub-dimension obtained by the dimension conversion and a weight corresponding thereto; and sorting device 103 according to the score a value, sorting the objects to be sorted, and obtaining the sorted objects; the providing device 104 provides the sorted objects to the user.

In step S301, the sorting device 1 acquires the dimension of the object to be sorted set by the user and the weight corresponding to the dimension.

Specifically, the user inputs the dimension of the object to be sorted and the weight corresponding to the dimension in the input box through interaction with the user equipment, or the dimension and weight provided to the user. In the option, the dimension of the object to be sorted that the user desires to set and the weight corresponding to the dimension are selected; in step S301, the sorting device 1 invokes the user equipment through interaction with the user equipment, for example, by one or more times. The application program interface (API) or other agreed communication method obtains the dimension of the object to be sorted set by the user and the weight corresponding to the dimension.

For example, by interacting with the user equipment, the user inputs the dimension of the object to be sorted in the input box of the page related to the sorting of the object to be sorted, such as inputting the position dimension, the price dimension, and the service dimension, and inputting each dimension a certain weight, such as the weight of the input location dimension is 0.2, the weight of the price dimension is 0.5, and the weight of the service dimension is 0.3. In step S301, the sorting device 1 obtains the input of the user through interaction with the user equipment. The dimension of the object to be sorted and the weight corresponding to the dimension. Here, the sum of the weights corresponding to the respective dimensions is 1.

For example, in the page related to the sorting of the object to be sorted, various dimension options of the object to be sorted are provided, and the user selects the dimension that is desired to be set by the user through interaction with the user device, for example, the location dimension is provided in the page. The price dimension, the service dimension, the predetermined terms dimension, and the industry-specific dimension, and the user selects the location dimension, the price dimension, and the service dimension. In addition, for each dimension, weight options for different values are provided. For example, weight options for each value from 0 to 1 are provided. The user further selects and selects the corresponding weight for each dimension, such as The weight of the location dimension is selected as 0.2, the weight of the price dimension is selected as 0.5, and the weight of the service dimension is selected as 0.3. In step S301, the sorting device 1 obtains the checkmark selected by the user through interaction with the user equipment. The dimension of the object to be sorted and the weight corresponding to the dimension.

Preferably, the weights corresponding to the dimensions and dimensions of the objects to be sorted set by the user may be only partial dimensions and weights of all dimensions and weights, and the rest may be Line settings.

Location dimension

Price dimension

Service dimension

Scheduled terms dimension;

Industry-specific dimensions.

The terms and conditions of the reservation include, but are not limited to, some of the terms offered by the merchant, such as the purchase of five get one free, the reservation of 100 rooms for free use of the conference room and other terms, or other terms such as trade-in, unconditional return within seven days.

Industry-specific dimensions refer to dimensions specific to each industry, for example, for the hotel industry, The hotel's facility dimensions can be used as an industry-specific dimension of the hotel industry. The hotel's facilities such as the hotel have swimming pools, gyms, meeting rooms and other facilities. The richness of the hotel facilities and the design of the old and new can be included as a unique dimension of the industry.

In step S302, the sorting device 1 calculates a score value of the object to be sorted according to the dimension and its corresponding weight.

Specifically, in step S302, the sorting device 1 combines the scoring of the object to be sorted in each set dimension according to the dimension of the object to be sorted set by the user acquired in step S301 and the corresponding weight thereof. For example, by weighting calculation, the score value of each object to be sorted is calculated. For example, in step S301, the dimension of the object to be sorted set by the user acquired by the sorting device 1 is a location dimension, a price dimension, and a service dimension, and the weights corresponding to the dimensions are respectively 0.2, 0.5, and 0.3; The score of the position dimension is divided into 10 points, the score of the price dimension is divided into 8 points, and the score of the service dimension is divided into 9 points. Then, in step S302, the sorting device 1 determines the object A to be sorted by weighting calculation according to the above data. The score is 10*0.2+8*0.5+9*0.3=8.7 points.

Here, the scoring value corresponding to each dimension can be obtained, for example, by industry experience and benchmarking, for example, for a hotel, a restaurant, a conference service, a travel arrangement, and a position dimension of a waiting object, the score is 10 points, if the object to be sorted If the specific location is in accordance with the user's distance requirement, the score is full. If the distance is exceeded, the score is deducted. Another example is the origin of counterfeit goods. The position dimension of the commodity has a lower score, and the position dimension of the commodity produced from the featured origin is higher.

In step S303, the sorting device 1 sorts the objects to be sorted according to the score value, and obtains the sorted objects.

Specifically, in step S303, the sorting device 1 sorts the objects to be sorted according to the score value obtained in step S302, for example, according to the level of the score, the order of the objects to be sorted is in descending order of the score value. Sort to get the sorted object. In the following example, in step S302, the sorting device 1 determines, by calculation, that the score of the object A to be sorted is 8.7, and the score of the object B to be sorted is calculated to be 9.0, and the score of the object to be sorted C passes. Calculated as 8.5 points; then, in step S303, the sorting device 1 sorts the objects to be sorted according to the scoring values of the objects to be sorted according to the scoring value from the highest to the bottom, and obtains the sorted objects as B, A, C. .

In step S304, the sorting device 1 provides the sorted object to the user.

Specifically, in step S304, the sorting device 1 provides the object sorted in step S303 to the user in an agreed display manner, for example, by calling a dynamic page technology such as JSP, ASP or PHP one or more times. . For example, in step S304, the sorting is set The sorted object is provided to the user in a predetermined number of pages per page, and the user can continue to view the sorted objects by pulling down the screen or clicking the "next page" icon button.

Preferably, in step S304, the sorting device 1 may further provide the dimension set by the user, and the score value of the sorted object in the dimension, or specific information in the dimension, to the Users, so that users can view it. For example, when the user sets the location dimension, in step S304, the sorting device 1 may specify the specific location information of the sorted object, such as the place of delivery, the place of production, or the specific geographical location, location value, and traffic status. The information, as well as the scoring value in the location dimension or the detailed scoring value of each specific location information, are provided to the user together.

Preferably, the method further includes: adjusting a dimension of the object to be sorted and a weight corresponding thereto according to a cognitive calculation of the network data; wherein, in step S302, the sorting device 1 is based on the adjusted dimension and The weight corresponding to the weight of the object to be sorted is calculated.

Specifically, because there is a huge amount of data on the network, and new data information will emerge every moment, and the user may not be able to obtain the data information in time, and by calculating the massive network data, Helping the user to know the data information in time, and adjusting the dimensions of the object to be sorted and the corresponding weights in time; thus, in step S302, the sorting device 1 can more accurately calculate the to-be-arranged according to the adjusted dimensions and weights. The scoring value of the ordered object, in step S302, the sorting device 1 can sort the objects to be sorted more precisely.

Take hotel reservation as an example. Suppose a large conference is being held in a certain location. Due to traffic control and other factors, it affects the traffic status of the lot. For users who book a hotel, they may not know the information, and the sorting equipment 1 By cognizing the network data, the information can be obtained in time, thereby adjusting the weight or scoring value of the location dimension of the hotel located in the lot, for example, lowering the weight or scoring value of the traffic state dimension of the hotel in the lot. Then, in step S302, the sorting device 1 calculates the score value of each hotel according to the adjusted dimension and its corresponding weight, combined with the score of each hotel in the dimension.

Preferably, the method further comprises: acquiring a requirement input by the user; and according to the requirement, filtering an object corresponding to the requirement to obtain the object to be sorted.

Specifically, the user may have a certain requirement that, through interaction with the user equipment, input its detailed requirements in a place such as an input box, for example, assuming that the user needs to reserve a hotel, which may be in an input box of the hotel reservation page, Input requirements "natural lighting, convenient transportation, meeting rooms with a capacity of more than 1000 people, high barrier-free floor requirements, heavy equipment direct access to the venue", etc.; sorting device 1 through interaction with user equipment, for example by calling one or more times An application program interface (API) or other agreed communication method provided by the user equipment acquires detailed requirements input by the user; subsequently, the sorting device 1 performs screening in each object according to the user's needs, so that the screening obtains the content The objects required by the user, and these objects are regarded as objects to be sorted; then, the sorting device 1 sorts the objects to be sorted according to the dimensions and weights set by the user on the basis of the objects to be sorted.

Preferably, the sorting device 1 can also store the data in the database and cache it for the requirements input by the user. Here, the requirements of the cache user input can solve the following problems: 1) the lack of maintainability and business scalability of the SQL (Structured Query Language) joint investigation method; 2) slow down the database pressure, using the cache The way to read and write the separation of business data; 3) solve the problem of data synchronization by system work. When the user input changes, for example, the user modifies the original requirement, the system will update the queue to obtain the latest input data changes, and update the user input requirements for caching.

Preferably, the sorting device 1 can also guide the user to modify its requirements. For example, when the sorting device 1 fails to filter out an object that meets the user's needs, the sorting device 1 can guide the user to modify its requirements, thereby filtering out the user's needs. Object.

More preferably, the sorting device 1 further performs semantic analysis on the requirements, and combines cognitive calculations to filter and obtain objects corresponding to the requirements as the objects to be sorted.

Specifically, according to the requirement input by the user, the sorting device 1 performs semantic analysis on the requirement, for example, performing processing such as cutting, denoising, and semantic analysis on the character string input by the user, obtaining the processed character string, and then combining the recognition. Knowing the calculation, filtering to obtain the object that meets the user's needs, and using it as the object to be sorted that participates in the sorting. For example, suppose that the user needs to reserve a hotel, and the demand "high on" is input in the input box of the hotel reservation page, and the sorting device 1 performs semantic analysis on the demand, and then combines cognitive calculation, for example, converting the user demand into actual Demand "central city, five-star or above, luxury brand hotels, well-known hotels" and so on.

Preferably, each dimension of the object to be sorted includes at least one sub-dimension, wherein the method further includes: a dimension of the object to be sorted set by the user and corresponding thereto Performing a dimension conversion to obtain at least one sub-dimension and a weight corresponding to the sub-dimension; wherein, in step S302, the sorting device 1 calculates the to-be-sorted according to the at least one sub-dimension and its corresponding weight The scoring value of the object.

Specifically, each dimension of the object to be sorted may include at least one sub-dimension, for example, the location dimension may further include a sub-dimension such as a distance, a lot value, a traffic state, and the like. Similarly, other dimensions may also include their corresponding sub-dimensions, which are not detailed here. After the user sets the dimensions and corresponding weights for the objects to be sorted, the sorting device 1 can perform dimension conversion on the dimensions and weights, and convert the broader dimensions into more sub-dimensions, for example, converting the position dimension and its weight. The sub-dimensions such as distance, location value, traffic status, and the weights corresponding to these sub-dimensions. Here, the basis of the conversion is, for example, based on industry experience and benchmarks, or according to user settings, for example, the user setting distance is mandatory, and the location value and traffic state are preferred, and the user sets the weight for the location dimension to be 0.2, then After the sorting device 1 converts the position dimension into a sub-dimension of the distance, the lot value and the traffic state, the weight of the distance is 0.1, and the weight of the lot value and the traffic state are both 0.05. Then, in step S302, the sorting device 1 calculates the score value of the object to be sorted according to the converted at least one sub-dimension and its corresponding weight.

In the following example, it is assumed that, in step S301, the dimensions of the objects to be sorted set by the user acquired by the sorting device 1 are the location dimension, the price dimension, and the service dimension, and the weights corresponding to the dimensions are respectively 0.2, 0.5, and 0.3; After device 1 converts the position dimension into the sub-dimension of distance, location value and traffic state, the weight of the distance is 0.1, the weight of the lot value and the traffic state are both 0.05, and the object A to be sorted is divided into 10 in the distance sub-dimension. The score is divided into 8 points in the sub-dimension of the location value, 10 points in the sub-dimension of the traffic state, 8 points in the price dimension, and 9 points in the service dimension. In step S302, the sorting device 1 is based on The above data is determined by weighting calculation to determine that the score of the object A to be sorted is 10*0.1+8*0.05+10*0.05+8*0.5+9*0.3=8.6 points.

Here, the sorting device 1 may perform dimensional conversion on all dimensions and weights set by the user, or may only convert some of the dimensions and weights therein.

Those skilled in the art should be able to understand that the above-mentioned way of dimension conversion of dimensions and weights is only an example, and other existing or future possible dimensional transformations of dimensions and weights may be performed. The manner of the present invention is also applicable to the present invention, and is also included in the scope of the present invention, and is not described herein again, and is incorporated herein by reference.

Preferably, the method further includes: obtaining a dimension priority set by the user; wherein, in step S302, the sorting device 1 calculates the location according to the dimension and its corresponding weight, combined with the dimension priority. The score value of the sorted object is mentioned.

Specifically, for each dimension of the object to be sorted, the user may also set a priority for each dimension, for example, setting each dimension as "preferred" or "required", or, further, setting a certain dimension for each dimension. Level, under the same weight, the higher the priority of the dimension, the higher the score. The sorting device 1 acquires the dimension priority set by the user by interacting with the user device, for example, by calling an application program interface (API) or other agreed communication manner provided by the user device one or more times; subsequently, in step S302 The sorting device 1 calculates the scoring value of the object to be sorted according to the dimension of the object to be sorted and the corresponding weight, taking into account the dimension priority of each dimension.

Preferably, for the sub-dimension corresponding to each dimension, if the priority corresponding to the sub-dimension is higher, the sorting device 1 performs the dimension conversion, and the weight value converted by the sub-dimension is higher.

Preferably, the method further comprises: obtaining the user's selection of the sorted object; and learning the user's preference according to the selection.

Specifically, for the sorted object provided by the sorting device 1 in step S304, the user selects therefrom, and the sorting device 1 calls the application program interface (API) or other provided by the user device, for example, one or more times. The agreed communication mode acquires the selection made by the user; the sorting device 1 learns the user's preference according to the acquired selection of the user, and stores the preference for the user to sort the object to be sorted next time. Make use.

For example, although the user usually sets the weight of the price dimension to be low, the user's selection of the sorted object is often price-oriented, and often the object with a lower price is selected, and the sorting device 1 is Each time the user selects an object, the user's selection is obtained; the sorting device 1 learns the user's preference according to the user's selection of the lower-priced object, that is, the user actually prefers the object with a lower price, and User preferences are stored.

More preferably, the method further includes: adjusting a dimension of the object to be sorted and a weight corresponding thereto according to the preference of the user; wherein, in step S302, the sorting device 1 according to the adjusted dimension and The weights corresponding to the scores of the objects to be sorted are calculated.

Specifically, according to the preference of the user learned by the sorting device 1 , the sorting device 1 adjusts the dimension of the object to be sorted and the corresponding weight thereof, so that the adjusted dimension and weight are more in line with the user's preference; In step S302, the sorting device 1 calculates the score value of the object to be sorted according to the adjusted dimension and its corresponding weight.

In the above example, the sorting device 1 learns the user's preference according to the user's choice of the object with lower price, that is, the user actually prefers the object with lower price and stores the user's preference; then, when When the user again sets the dimension of the sorting object and sets the weight of the price dimension to be lower, the sorting device 1 automatically increases the weight of the price dimension for the user according to the user's preference for the low price, so that when sorting is finally performed, The top ranked object is more in line with the user's needs; subsequently, in step S302, the sorting device 1 calculates the score value of the object to be sorted based on the adjusted dimensions and weights.

Here, the sorting device 1 learns the user's preference, adjusts the dimension of the object to be sorted and the corresponding weight based on the user's preference, or further combines the cognitive calculation adjustment dimension and the corresponding weight, so that the sorting result is more in line with the user's expectation, further Increased user use Experience.

It should be noted that the present invention can be implemented in software and/or a combination of software and hardware. For example, the various devices of the present invention can be implemented using an application specific integrated circuit (ASIC) or any other similar hardware device. In one embodiment, the software program of the present invention may be executed by a processor to implement the steps or functions described above. Likewise, the software program (including related data structures) of the present invention can be stored in a computer readable recording medium such as a RAM memory, a magnetic or optical drive or a floppy disk and the like. Additionally, some of the steps or functions of the present invention may be implemented in hardware, for example, as a circuit that cooperates with a processor to perform various steps or functions.

It is apparent to those skilled in the art that the present invention is not limited to the details of the above-described exemplary embodiments, and the present invention can be embodied in other specific forms without departing from the spirit or essential characteristics of the invention. Therefore, the present embodiments are to be considered as illustrative and not restrictive, and the scope of the invention is defined by the appended claims instead All changes in the meaning and scope of equivalent elements are included in the present invention. Any reference signs in the claims should not be construed as limiting the claim. In addition, it is to be understood that the word "comprising" does not exclude other elements or steps. A plurality of units or devices recited in the system claims can also be implemented by a unit or device by software or hardware. The first, second, etc. words are used to denote names and do not denote any particular order.

Various aspects of various embodiments are set forth in the claims. These and other aspects of various embodiments are set forth in the following numbering clauses:

A method for sorting objects based on user settings, wherein the method comprises the following steps:

d providing the sorted object to the user.

2. The method of clause 1, wherein the method further comprises:

Wherein the step b comprises:

3. The method of clause 1, wherein the method further comprises:

e acquiring the demand input by the user;

4. The method of clause 3, wherein the step f further comprises:

The method of clause 1, wherein each dimension of the object to be sorted includes at least one sub-dimension, wherein the method further comprises:

Wherein the step b comprises:

The method of any of clauses 1 to 5, wherein the method further comprises:

Obtaining the dimension priority set by the user;

Wherein the step b comprises:

The method of any of clauses 1 to 5, wherein the method further comprises:

Obtaining, by the user, a selection of the sorted object;

Based on the selection, the user's preferences are learned.

8. The method of clause 7, wherein the method further comprises:

Wherein the step b comprises:

The method of any of clauses 1 to 5, wherein the dimension of the object to be sorted comprises at least one of the following:

Location dimension

Price dimension

Service dimension

Scheduled terms dimension;

Industry-specific dimensions.

10. A sorting device for sorting objects based on user settings, wherein the sorting device comprises:

Providing means for providing the sorted object to the user.

11. The sorting device of clause 10, wherein the sorting device further comprises:

Wherein the computing device is used to:

12. The sorting device of clause 10, wherein the sorting device further comprises:

a demand acquisition device, configured to acquire a demand input by the user;

13. The sorting device of clause 12, wherein the screening device is further configured to:

The sorting device of claim 10, wherein each dimension of the object to be sorted includes at least one sub-dimension, wherein the sorting device further comprises:

Wherein the computing device is used to:

The sorting device of any one of clauses 10 to 14, wherein the sorting device further comprises:

Wherein the computing device is used to:

Learning means for learning the preferences of the user based on the selection.

17. The sorting device of clause 16, wherein the sorting device further comprises:

Wherein the computing device is used to:

The sorting device according to any one of clauses 10 to 14, wherein the dimension of the object to be sorted comprises at least one of the following:

Location dimension

Price dimension

Service dimension

Scheduled terms dimension;

Industry-specific dimensions.

A computer readable storage medium storing computer code, the method of any one of clauses 1 to 9 being executed when the computer code is executed.

20. A computer program product, when the computer program product is executed by a computer device, the method of any one of clauses 1 to 9 being performed.

21. A computer device comprising a memory and a processor, the memory storing computer code, the processor being configured to execute the computer code to perform any of clauses 1 to 9 Said method.

Claims

A method for object sorting based on user settings, wherein the method comprises the following steps:

a acquiring the dimension of the object to be sorted set by the user and the weight corresponding to the dimension;

b calculating, according to the dimension and the weight corresponding thereto, a score value of the object to be sorted;

c sorting the objects to be sorted according to the score value, and obtaining the sorted objects;

d providing the sorted object to the user.
The method of claim 1 wherein the method further comprises:

Adjusting a dimension of the object to be sorted and a weight corresponding thereto according to a cognitive calculation of the network data;

Wherein the step b comprises:

And calculating a score value of the object to be sorted according to the adjusted dimension and the corresponding weight.
The method of claim 1 wherein the method further comprises:

e acquiring the demand input by the user;

f according to the requirement, the screening obtains an object corresponding to the requirement as the object to be sorted.
The method of claim 3 wherein said step f further comprises:

Semantic analysis is performed on the requirement, and combined with cognitive calculation, the object corresponding to the requirement is obtained by screening to be the object to be sorted.
The method of claim 1, wherein each dimension of the object to be sorted includes at least one sub-dimension, wherein the method further comprises:

Dimensing a dimension of the object to be sorted set by the user and a weight corresponding thereto to obtain at least one sub-dimension and a weight corresponding to the sub-dimension;

Wherein the step b comprises:

Calculating the pair to be sorted according to the at least one sub-dimension and its corresponding weight The scoring value of the elephant.
The method according to any one of claims 1 to 5, wherein the method further comprises:

Obtaining the dimension priority set by the user;

Wherein the step b comprises:

Calculating the scoring value of the object to be sorted according to the dimension and its corresponding weight, combined with the dimension priority.
The method according to any one of claims 1 to 5, wherein the method further comprises:

Obtaining, by the user, a selection of the sorted object;

Based on the selection, the user's preferences are learned.
The method of claim 7 wherein the method further comprises:

Adjusting, according to the preference of the user, a dimension of the object to be sorted and a weight corresponding thereto;

Wherein the step b comprises:

And calculating a score value of the object to be sorted according to the adjusted dimension and the corresponding weight.
The method according to any one of claims 1 to 5, wherein the dimension of the object to be sorted comprises at least one of the following:

Location dimension

Price dimension

Service dimension

Scheduled terms dimension;

Industry-specific dimensions.
A sorting device for sorting objects based on user settings, wherein the sorting device includes:

a dimension acquiring device, configured to acquire a dimension of the object to be sorted set by the user and a weight corresponding to the dimension;

a computing device, configured to calculate the to-be-arranged according to the dimension and its corresponding weight The scoring value of the ordered object;

a sorting device, configured to sort the objects to be sorted according to the score value, and obtain the sorted objects;

Providing means for providing the sorted object to the user.
The sorting device according to claim 10, wherein the sorting device further comprises:

a first adjusting device, configured to adjust a dimension of the object to be sorted and a weight corresponding thereto according to a cognitive calculation of the network data;

Wherein the computing device is used to:

And calculating a score value of the object to be sorted according to the adjusted dimension and the corresponding weight.
The sorting device according to claim 10, wherein the sorting device further comprises:

a demand acquisition device, configured to acquire a demand input by the user;

And a screening device, configured to: according to the requirement, select an object corresponding to the requirement as the object to be sorted.
The sorting apparatus according to claim 12, wherein said screening means is further configured to:

Semantic analysis is performed on the requirement, and combined with cognitive calculation, the object corresponding to the requirement is obtained by screening to be the object to be sorted.
The sorting device according to claim 10, wherein each dimension of the object to be sorted includes at least one sub-dimension, wherein the sorting device further comprises:

a dimension conversion device, configured to perform dimension conversion on a dimension of the object to be sorted set by the user and a weight corresponding thereto, to obtain at least one sub-dimension and a weight corresponding to the sub-dimension;

Wherein the computing device is used to:

And calculating, according to the at least one sub-dimension and the corresponding weight thereof, a scoring value of the object to be sorted.
The sorting device according to any one of claims 10 to 14, wherein the sorting device further comprises:

a priority acquiring device, configured to acquire a dimension priority set by the user;

Wherein the computing device is used to:

Calculating the scoring value of the object to be sorted according to the dimension and its corresponding weight, combined with the dimension priority.
The sorting device according to any one of claims 10 to 14, wherein the sorting device further comprises:

Selecting an obtaining device, configured to acquire, by the user, a selection of the sorted object;

Learning means for learning the preferences of the user based on the selection.
The sorting device according to claim 16, wherein the sorting device further comprises:

a second adjusting device, configured to adjust a dimension of the object to be sorted and a weight corresponding thereto according to the preference of the user;

Wherein the computing device is used to:

And calculating a score value of the object to be sorted according to the adjusted dimension and the corresponding weight.
The sorting apparatus according to any one of claims 10 to 14, wherein the dimension of the object to be sorted includes at least one of the following:

Location dimension

Price dimension

Service dimension

Scheduled terms dimension;

Industry-specific dimensions.
A computer readable storage medium storing computer code, the method of any one of claims 1 to 9 being executed when the computer code is executed.
A computer program product, when the computer program product is executed by a computer device, the method of any one of claims 1 to 9 being performed.
A computer device comprising a memory and a processor, the memory storing computer code, the processor being configured to perform the computer code according to any one of claims 1 to 9 The method described.