TW201342277A - Information matching device and method - Google Patents

Abstract

An information matching method includes the following steps: provide an interface, provide a first group travel objects, and a first group public evaluation reference architecture corresponding to the first group travel objects, wherein the first group public evaluation reference architecture is obtained by pre-determining the first group travel objects. Through the interface to accept a first personalized preference reference architecture and depending on the first personalized preference reference architecture and the first group public evaluation reference architecture to perform an operation for generating a second group travel objects with specific sequence, wherein the first group travel objects include the second group travel objects.

Description

Message matching device and method

The present invention relates to a message mediation method, and more particularly to a message mediation method for use in a travel system.

According to the survey, the average time for college students to use computers in a day is about 2.86 hours, and the three most commonly used functions of the students are 49.18% of "search messages" and 32.28% of "browsing information pages". And accounted for 26.89% of "watching the weather", with the highest rate of information search. That is, for the user, the main purpose of using the computer is to find the information that is needed, for example, searching for a restaurant suitable for Valentine's Day, a reasonably priced homestay, and a tourist attraction of Pingxi. In the search process, because the general system message presentation mode is randomly arranged, although the keyword search can be added (details are as follows), the user still needs to filter many messages that do not meet their expectations to find the information they need.

The conventional travel system uses the message presentation method described below to provide a plurality of travel information, the method of presenting the message comprising the following steps. Step 1: The user types in a keyword. Step 2: The travel system searches for travel information in the database based on the keywords. Next, in step 3, the travel system provides the matching travel information to the user; or the travel system arranges the matching travel data according to the popularity of the matching travel data, and the arranged travel data The travel materials are presented to the user. Regardless of the situation in step three, the user needs to browse most of the obtained travel materials for filtering to find the travel information that meets the expectations.

For example, a general travel website provides a number of travel information to users on its website interface, such as attractions, hotels, restaurants, travel promotions, etc., which are randomly arranged on the website interface, or Presented based on the popularity of travel objects. However, for the user, the above two types of travel data presentation (arrangement) still require the user to filter a lot of travel materials that do not meet their expectations to find the travel information they need, which inevitably takes a lot of time.

Therefore, it is necessary to provide a method of message matching, combining travel information with user preferences, and providing personalized travel information to users to solve the above problems.

It is an object of the present invention to provide a message matching method for combining travel messages with user preferences to provide personalized travel messages to users.

Another object of the present invention is to provide a message matching device for presenting a travel message to a user in a manner consistent with user preferences.

According to an embodiment of the present invention, a message matching method is provided, including the steps of: providing an interface, and then providing a first set of travel objects, and a first set of public evaluation parameters corresponding to one of the first set of travel objects A structure wherein the first set of public evaluation parameter structures is formed by the first set of travel objects being pre-measured. Then, receiving a personalized preference parameter structure through the interface, performing a first operation according to the personalized preference parameter and the first set of public evaluation parameter structures to generate a second set of travel objects having a specific order, wherein the The first set of travel objects includes the second set of travel objects.

According to another embodiment of the present invention, a message matching apparatus is provided, including an interface unit and a processing unit, and the interface unit receives a personalized preference parameter structure. And the processing unit obtains a first group of objects and a first group of public evaluation parameter structures, wherein the first group of public evaluation parameter structures is formed by the first group of objects being pre-measured, and then, according to the personalized preference parameter The structure and the first set of public evaluation parameter structures are used to calculate the first set of objects one by one to obtain an operation result.

According to still another embodiment of the present invention, a message matching method is provided, comprising the steps of: receiving a personalized preference parameter and a first set of public evaluation parameter structures corresponding to a first set of objects. Then, the first set of objects are operated one by one according to the personalized preference parameter and the first set of public evaluation parameter structures to obtain an operation result.

According to the embodiment of the present invention, the message matching device and method of the present invention presents the object to the user in a manner consistent with the user's preference according to the personalized preference parameter set by the user, so that the user can find the match more efficiently. Information on demand.

The making and using of the embodiments of the present invention are discussed in detail below. However, it should be understood that these embodiments provide many applicable innovative concepts that can be embodied in various specific contexts. The specific embodiments discussed are merely illustrative and are not intended to limit the scope of the invention.

Please refer to FIG. 1. FIG. 1 is a schematic diagram of a message matching system 10 according to an embodiment of the present invention. The message matching system 10 includes a device 100 for message mediation, a user 120, and a network 140 coupled to the device 100. For example, the message mediation means generating a personalized message C1 that matches the preference of the user 120. The personalized message C1 includes at least one of an object, a voice, an image, and the like, and the network 140 includes a Internet 142.

The device 100 includes an interface unit 102 and a processing unit 104 coupled to the interface unit 102. The interface unit 102 prompts an object attribute structure F1. The processing unit 104 obtains a personalized preference parameter structure RS through the interface unit 102. For example, the personalized preference parameter structure RS corresponds to the object attribute structure F1. For example, the object attribute structure F1 has an object category PA and a specific attribute structure AS for defining the object category PA, wherein the personalized preference parameter structure RS characterizes the particular attribute structure AS. In an embodiment, the interface unit 102 prompts the object attribute structure F1, and receives the personalized preference parameter structure RS, and provides the personalized preference parameter structure RS to the processing unit 104, wherein the personalized preference parameter structure RS Input by the user 120 for providing the preference of the user 120; the processing unit 104 converts the personalized preference parameter structure RS into a personalized preference parameter structure BS according to an arithmetic operation CV1. Those skilled in the art will appreciate that the user may also receive the personalized preference parameter structure RS through the interface unit 102 if the interface element 102 does not prompt the travel object attribute structure F1.

In an embodiment, the interface unit 102 receives the personalized preference parameter structure RS, converts the personalized preference parameter structure RS into the personalized preference parameter structure BS according to the arithmetic operation CV1, and provides the personalized preference parameter structure. The BS is given to the processing unit 104.

In an embodiment, the processing unit 104 filters from the public message D1 according to the object attribute structure F1 to generate a first group of EA objects EA1, EA2, ..., EA8, EA9. In an embodiment, the first group of EA objects EA1, EA2, ..., EA8, EA9 have a first order, the first order is a random arrangement, or according to the first group of EA objects EA1, EA2, ..., EA8 EA9's popularity ranking. In another embodiment, the first set of EA objects EA1, EA2, ..., EA8, EA9 do not have an order and are a combination of a plurality of objects. In one embodiment, the interface unit 102 prompts a plurality of object categories for the user 120 to select one of the plurality of object categories to become the object category PA. For example, the processing unit 104 filters from the public message D1 according to the object category PA to generate the first group of EA objects EA1, EA2, ..., EA8, EA9. It should be understood by those skilled in the art that the processing unit 104 may also randomly acquire the first group of EA objects EA1, EA2, ... without the process of screening from the public message D1 according to the object attribute structure F1. , EA8, EA9.

Then, the processing unit 104 pre-acquires the general public user from the network 140, a supplier, or a combination of the network 140 and the supplier to pre-measure the first group of EA objects EA1, EA2, ... A first group of public evaluation parameter structures S1, S2, ..., SN corresponding to EA8 and EA9.

The processing unit 104 performs an operation according to the personalized preference parameter structure BS and the first set of public evaluation parameter structures S1, S2, ..., SN to generate a second set of EB objects EB1, EB2, ... EB6, EB7, wherein the first group of EA objects EA1, EA2, ..., EA8, EA9 comprise the second group of EB objects EB1, EB2, ..., EB6, EB7. That is, the processing unit 104, according to the personalized preference parameter structure RS set by the user 120 and the first group of public evaluation parameter structures S1, S2, ..., SN, will have the first group of EA objects originally possessed. EA1, EA2, ..., EA8, EA9 are reordered to generate the personalized message C1, wherein the personalized message C1 includes the second set of EB objects EB1, EB2, ..., EB6, EB7 having the particular order. In an embodiment, the second set of EB objects is selected from the first group of EA objects; for example, the second set of EB objects is one of the first set of EA objects that best meets the RS requirements of the personalized preference parameter structure. object.

In one embodiment, the processing unit 104 includes a control unit 106 and a database unit 108 coupled to the control unit 106, wherein the control unit 106 is further coupled to the interface unit 102 and the network 140. In one embodiment, the public message D1 is obtained from the network 140, a vendor, or a combination of the network 140 and the vendor. In an embodiment, the public message D1 is stored in the database unit 108; that is, the database unit 108 has the public message D1, and the public message D1 includes a plurality of objects Q1, Q2, ..., QN. . The control unit 106 filters the objects Q1, Q2, ..., QN according to the object attribute structure F1 selected by the user 120 to generate the first group of EA objects EA1, EA2, ..., EA8, EA9. For example, the plurality of objects Q1, Q2, ..., QN are a plurality of travel objects.

In an embodiment, the interface unit 102 provides an interface structure 200, wherein the interface structure 200 prompts the plurality of object categories during a first period, and prompts for inputting the personalized preference parameter structure RS during a second period. The object attribute structure F1. The control unit 106 receives the object category PA through the interface structure 200 during the first period, and receives the personalized preference parameter structure RS through the interface structure 200 during the second period. The control unit 106 converts the personalized preference parameter structure RS into the personalized preference parameter structure BS according to the arithmetic operation CV1. Then, the first set of public evaluation parameter structures S1, S2, ..., SN are obtained through the network 140, and according to the personalized preference parameter structure BS and the first group of public evaluation parameter structures S1, S2, ..., SN The first set of EA objects reorders EA1, EA2, ..., EA8, EA9 to generate the personalized message C1 containing the second set of EB objects EB1, EB2, ..., EB6, EB7. The control unit 106 transmits the personalized message C1 to the interface unit 102, and the interface unit 102 displays the personalized message C1 to the user 120.

Referring to FIG. 2(a) and FIG. 2(b), FIG. 2(a) is a schematic diagram showing a first interface 202 of one of the interface units 102 of the message matching device 100 according to an embodiment of the present invention. FIG. 2(b) is a schematic diagram showing a second interface 204 of one of the interface units 102 of the message matching device 100 according to an embodiment of the present invention. The interface unit 200 provides the interface structure 200, and the interface structure 200 includes the first interface 202 and the second interface 204 associated with the first interface 202, wherein the first interface 202 prompts an object category structure P1 to The user 120 selects the object category PA.

For example, the object category structure P1 includes a plurality of object categories P11, P12, ..., P13, P14. For example, the plurality of object categories P11, P12, P13, and P14 are respectively a plurality of travel object categories, and respectively represent an attraction category, a restaurant category, a hotel category, and an amusement park category, and the object category PA can represent the user 120. One of the plurality of object categories P11, P12, P13, P14 selected.

In an embodiment, the database unit 108 obtains the object category structure P1 in advance, and sequentially sorts the plurality of objects Q1, Q2, ... according to the plurality of object categories P11, P12, ..., P13, P14. QN. For example, a specific item among the plurality of objects Q1, Q2, ..., QN is classified into one of the plurality of object categories P11, P12, ..., P13, P14.

The first interface 202 prompts the plurality of object categories P11, P12, P13, and P14 for the user to select an object category to be set, wherein the plurality of object categories P11, P12, P13, and P14 are configured to describe the plurality of objects. The category to which the objects Q1, Q2, ..., QN belong. For example, based on the object category PA selected by the user 120, the processing unit 104 causes the second interface 204 to present the object attribute structure F1 corresponding to the object category PA.

For example, the particular attribute structure AS of the object attribute structure F1 contains a set of A1 object attributes A11, A12 and A13, or the set of A1 object attributes A11, A12 and A13. For example, the set of A1 object attributes A11, A12, and A13 may represent one of a set of attraction attributes, a set of homestay attributes, a set of restaurant attributes, and a set of amusement park attributes. In the second (a) diagram, the first interface 202 further presents a plurality of input completion degrees corresponding to the plurality of object categories P11, P12, P13, and P14, respectively.

After the user 120 selects the object category PA to be set through the first interface 202, the interface unit 102 provides the second interface 204 as shown in FIG. 2(b). In an embodiment, the user 120 clicks on the item category P13 to cause the item category PA to represent the item category P13 (the home category). The second interface 204 prompts the object attribute structure F1 and is used to input the personalized preference parameter structure RS. For example, the personalized preference parameter structure RS includes a set of R1 personalization preference parameters R11, R12, and R13, or the set of R1 personalization preference parameters R11, R12, and R13.

For example, the set of A1 object attributes A11, A12, and A13 correspond to the set of R1 personalization preference parameters R11, R12, and R13, respectively. The personalized preference parameter R11 includes a set of RG1 sub-preference parameters R111, R112, R113, R114, R115 and R116, the preference parameter R12 comprising a set of RG2 sub-preference parameters R121 and R122, and the preference parameter R13 comprising a set of RG3 sub- Preference parameter R131.

The control unit 106 receives the personalized preference parameter structure RS corresponding to the specific attribute structure AS through the second interface 204, wherein the personalized preference parameter structure RS is the degree of importance of the user 120 to the specific attribute structure AS or Preference. In an embodiment, as shown in FIG. 2(b), the second interface 204 prompts the object attribute structure F1 and has a parameter input interface; that is, the second interface 204 prompts the object category PA and the Specific attribute structure AS. The parameter input interface is configured for the user 120 to input the personalized preference parameter structure RS or configured for the interface unit 102 to receive the personalized preference parameter structure RS.

Referring to FIG. 2(c), FIG. 2(c) is a schematic diagram showing the second interface 204 of the interface unit 102 according to an embodiment of the present invention. As shown in FIG. 2(c), the group A1 object attributes A11, A12, and A13 represent room attributes, cooking attributes, and service attributes, respectively, and correspond to the set of R1 personalization preference parameters R11, R12, and R13, respectively. The set of RG1 sub-preference parameters R111, R112, R113, R114, R115, and R116 of the personalized preference parameter R11 represent room cleanliness, room uniformity, room size, style, field of view, and floor, respectively. The set of RG2 sub-preference parameters R121 and R122 of the personalized preference parameter R12 represent cooking taste and food diversity, respectively. The set of RG3 sub-preference parameters R131 of the personalized preference parameter R13 represent the goodness of service, respectively. For example, the personalized preference parameter structure BS includes a set of B1 personalization preference parameters B11, or the set of B1 personalized preference parameters B11, B12 and B13.

In an embodiment, the control unit 106 has the object attribute structure F1. One of the interface unit 102 and the control unit 106 converts the set of R1 personalization preference parameters R11, R12, and R13 into the group corresponding to the set of R1 personalized preference parameters R11, R12, and R13 according to the arithmetic operation CV1. B1 personalizes preference parameters B11, B12 and B13. For example, according to the average of each respective group of the sub-preference parameters RG1, RG2, and RG3, the group B1 personalization preference parameters B11, B12, and B13 respectively have a plurality of averages, and the plurality of averages are respectively The average of the RL1, RG2, and RG3 sub-preference parameters of the complex array.

Referring to FIG. 2(c), for simplicity of explanation, only the plurality of sub-preference parameters R111, R112, R113, R121, R122, and R131 are considered here. Due to the input of the user 120, the plurality of sub-preference parameters R111, R112, R113, R121, R122 and R131 respectively have a plurality of parameter values 3, 3, 3, 5, 2 and 5. One of the interface unit 102 and the control unit 106 utilizes the following equations (1), (2), and (3) of the averaging to obtain the set of B1 personalization preference parameters associated with the preferences of the user 120. B11, B12 and B13:

B11=(R111+R112+R113)/3=(3+3+3)/3 (1)

B12=(R121+R122)/2=(5+2)/2 (2)

B13=R131/1=5/1 (3)

According to the equations (1), (2) and (3), among the group B1 personalized preference parameters B11, B12 and B13, three personalized preference parameters B11 corresponding to the room attribute, the cooking attribute and the service attribute respectively B12 and B13 have three parameter values of 3, 3.5, and 5, respectively.

In an embodiment, the sub-preference parameters R111, R112, R113, R114, R115, R116, R121, R122, and R131 to be received through the second interface 204 respectively have a plurality of preset values. For example, the sub-preference parameters R111, R112, R113, R114, R115, R116, R121, R122, and R131 have a specific sub-preference parameter, and the specific sub-preference parameter has a specific preset value. When the user 120 does not fill in the specific sub-preference parameter, one of the interface unit 102 and the control unit 106 considers that the specific sub-preference parameter has the specific preset value to perform the above operation.

Referring to FIG. 3, FIG. 3 is a flow chart showing the operation of a processing unit 104 of a message matching device 100 according to an embodiment of the present invention. As shown in FIG. 3, in step 502, the processing unit 104 obtains the public message D1 in advance from the network 140, a vendor, or a combination of the network 140 and the vendor.

For example, a general public user pre-measures the plurality of objects Q1, Q2, ..., QN in the public message D1 to form a plurality of public evaluation parameter structures corresponding to the plurality of objects Q1, Q2, ..., QN, respectively. S1, S2, ..., SN, and a plurality of public evaluation values T1, T2, ..., TN respectively corresponding to the plurality of public evaluation parameter structures S1, S2, ..., SN; the public message D1 includes the plurality of public evaluations Parameter structure S1, S2, ..., SN and the plurality of public evaluation values T1, T2, ..., TN; the processing unit 104 preprocesses the plurality of public evaluation parameter structures S1, S2, ..., SN according to an arithmetic operation CV2 The plurality of public evaluation values T1, T2, ..., TN are generated.

For example, the plurality of public evaluation parameter structures S1, S2, ..., SN represent the structural public popularity of the plurality of objects Q1, Q2, ..., QN, respectively, and the plurality of public evaluation values T1, T2, ..., TN Representing the synthetic popularity of the plurality of objects Q1, Q2, ..., QN, respectively. For example, based on each respective average of the plurality of public evaluation parameter structures S1, S2, ..., SN, the plurality of public evaluation parameter structures S1, S2, ..., SN respectively have a plurality of averages, and the plurality of evaluation values T1, T2, ..., TN are the plural averages, respectively.

In step 504, the processing unit 104 obtains the object category PA of the object attribute structure F1 selected by the user 120 through the interface unit 102, wherein the object attribute structure F1 includes the object category PA and is used to define the object category This particular attribute structure AS of the object class PA.

In step 506, the processing unit 104 obtains the object attribute structure F1 according to the object category PA, and obtains the personalized preference parameter structure RS set by the user through the interface unit 102 (the group R1 is personalized) Preference parameters R11, R12 and R13).

In step 508, the processing unit 104 filters from the public message D1 according to the object attribute structure F1 (or the selected item category PA) selected by the user 120 to generate a first group of EA objects. EA1, EA2, ..., EA8, EA9. In an embodiment, the first group of EA objects EA1, EA2, ..., EA8, EA9 comprise at least one object, the object attribute structure F1 has the object category PA representing the object category P13, and the first group of EA objects EA1, EA2, ..., EA8, EA9 are a group of objects belonging to the object category P13. For example, the first set of EA items EA1, EA2, ..., EA8, EA9 have the same item category PA; that is, the item category PA relates to the first set of EA items EA1, EA2, ..., EA8, EA9.

For example, the object attribute structure F1 represents a homestay attribute structure, the group A1 object attributes A11, A12, and A13 represent a set of homestay attributes, and the object category P13 is a homestay category. After the user 120 selects the homestay category, the processing unit 104 obtains the object category PA from the interface unit 102 as the homestay category, and then the processing unit 104 filters out all the belongings belonging to the homestay category from the database unit 108. The object, the selected items are the first group of EA objects EA1, EA2, ..., EA8, EA9.

In an embodiment, in step 508, the processing unit 104 filters the public information D1 according to the object attribute structure F1 to generate a third group of EC objects EC1, EC2, ..., EC8, EC9, wherein the third The group EC objects EC1, EC2, ..., EC8, EC9 are pre-measured to form a set of HC public evaluation parameter structures HC1, HC2, ..., HC8 corresponding to the third group of EC objects EC1, EC2, ..., EC8, EC9, respectively. , HC9. The processing unit 104 generates a set of KC public evaluation values KC1 corresponding to the third group of EC objects EC1, EC2, ..., EC8, and EC9 according to the set of HC public evaluation parameter structures HC1, HC2, ..., HC8, and HC9. KC2, ..., KC8, KC9, and sorting the third set of EC objects EC1, EC2, ..., EC8, EC9 according to the set of KC public evaluation values KC1, KC2, ..., KC8, KC9 to generate the first set of EAs Objects EA1, EA2, ..., EA8, EA9.

For example, the third set of EC objects EC1, EC2, ..., EC8, EC9 are obtained from the plurality of objects Q1, Q2, ..., QN, and the set of HC public evaluation parameter structures HC1, HC2, ..., HC8, HC9 are obtained From the plurality of public evaluation parameter structures S1, S2, ..., SN, and the set of KC public evaluation values KC1, KC2, ..., KC8, KC9 are obtained from the plurality of public evaluation values T1, T2, ..., TN.

In step 592, the processing unit 104 proceeds according to the personalized preference parameter structure RS (or the set of R1 personalization preference parameters R11, R12, and R13) and the first set of EA objects EA1, EA2, ..., EA8, EA9. A first operation CP1 is to generate a second set of EB objects EB1, EB2, ..., EB6, EB7 having a particular order. For example, the processing unit 104 converts the personalized preference parameter structure RS into a personalized preference parameter structure BS according to an arithmetic operation CV1, and according to the personalized preference parameter structure BS, the first group of EA objects EA1, EA2, ..., EA8 and EA9 are reorganized to generate a personalized message C1, wherein the personalized message C1 includes the second set of EB objects EB1, EB2, ..., EB6, EB7, and the personalized message C1 is presented to the use through the interface unit 102. 120, wherein objects in the second set of EB objects EB1, EB2, ..., EB6, EB7 that are more in line with the user 120 preferences are presented to the user 120 in a higher priority position.

In an embodiment, the processing unit 104 performs the first set of EA objects EA1, EA2, ..., EA8, EA9 according to one of the first specific conditions (for example, the condition of room cleanliness) set by the user 120. Sorting to generate the second set of EB objects EB1, EB2, ..., EB6, EB7, and the objects in the second set of EB objects EB1, EB2, ..., EB6, EB7 that are more in line with the first specific condition The high priority position is presented to the user 120, wherein the second set of EB objects EB1, EB2, ..., EB6, EB7 conform to the order of arrangement required by the first particular condition.

For example, in step 592, the processing unit 104 further determines the first group of EA objects EA1, EA2, ..., EA8, EA9 according to one of the second specific conditions set by the user 120 (for example, the condition of the cooking flavor). A correlation analysis operation is performed to generate the second set of EB objects EB1, EB2, ..., EB6, EB7. For example, the user 120 who prefers to have a light flavor will usually choose the homestay item U1, and the user 120 who chooses the homestay item U1 will generally also like the homestay item U2. Therefore, the processing unit 104 causes the second group of EB objects EB1, EB2, ..., EB6, EB7 to include the house item U1 and the house item U2, and recommend the house item U1 and the house item U2 with a higher priority position. Give the user 120.

In an embodiment, step 592 includes a plurality of steps 510, 512, 514, and 516. In step 510, the processing unit 104 converts the personalized preference parameter structure RS (or the set of R1 personalized preference parameters R11, R12, and R13) to the specific attribute structure AS (or the group A1 according to the arithmetic operation CV1). The personalization preference parameter structure BS (or the group B1 personalization preference parameters B11, B12, and B13) corresponding to the object attributes A11, A12, and A13).

In step 512, the processing unit 104 retrieves from the public message D1 a set of HA public evaluation parameter structures HA1, HA2, ..., HA8 corresponding to the first group of EA objects EA1, EA2, ..., EA8, EA9, respectively. And HA9, and a set of KA public evaluation values KA1, KA2, ..., KA8, KA9 corresponding to the group HA public evaluation parameter structures HA1, HA2, ..., HA8, HA9, wherein the group HA publicly evaluates the parameter structure HA1 HA2, ..., HA8, HA9 represent the structural public popularity of the first group of EA objects EA1, EA2, ..., EA8, EA9, respectively, and the group KA public evaluation values KA1, KA2, ..., KA8, KA9 represent the The synthetic popularity of the first set of EA objects EA1, EA2, ..., EA8, EA9.

For example, the group HA public evaluation parameter structures HA1, HA2, ..., HA8, HA9 are obtained from the plurality of public evaluation parameter structures S1, S2, ..., SN, and the group KA public evaluation values KA1, KA2, ..., KA8 KA9 is obtained from the plurality of public evaluation values T1, T2, ..., TN. For example, each structure of the set of HA public evaluation parameter structures HA1, HA2, ..., HA8, HA9 includes a respective set of public evaluation parameters, and according to the average of the respective groups, the set of KA public evaluation values KA1, KA2, ..., Each respective published evaluation value of KA8, KA9 is an average of the respective set of public evaluation parameters corresponding to each of the respective published evaluation values in the set of HAs. For example, each structure of the set of HA public evaluation parameter structures HA1, HA2, ..., HA8, HA9 has a first configuration, the personalized preference parameter structure BS has a second configuration, and the first configuration is the same as the first Two constructions.

For example, in step 504, as shown in FIG. 2(a), the processing unit 104 obtains the object category PA selected by the user 120 through the interface unit 102, wherein the object category PA represents the home category.

For example, in step 506, as shown in FIG. 2(c), the processing unit 104 obtains the personalized preference parameter structure RS set by the user 120 through the interface unit 102.

For example, in step 508, the processing unit 104 retrieves the first set of EA objects EA1, EA2, ..., EA8, EA9 from the public message D1. For example, the first group of EA objects EA1, EA2, ..., EA8, EA9 represent all the housekeeping objects, respectively, and all the housekeeping items include the house item U1 and the house item U2, wherein the object EA1 and the object EA2 respectively represent the house item U1. And the property U2.

For example, in step 510, the processing unit 104 converts the personalized preference parameter structure RS into the personalized preference parameter structure BS.

For example, in step 512, the processing unit 104 obtains the public evaluation parameter structure HA1 corresponding to the object EA1 (or the house item U1) and the public evaluation value KA1 corresponding to the public evaluation parameter structure HA1 from the public message D1. And the public evaluation parameter structure HA2 corresponding to the object EA2 (or the house item U1) and the public evaluation value KA2 corresponding to the public evaluation parameter structure HA2 are obtained. For example, the public evaluation parameter structure HA1 is a set of G1 public evaluation parameters G11, G12, and G13, and the public evaluation parameter structure HA2 is a set of G2 public evaluation parameters G21, G22, and G33. The following table shows the two items EA1, EA2, the three public evaluation parameters G11, G12 and G13, the three public evaluation parameters G21, G22 and G33, and the two public evaluation values KA1, KA2.

In an embodiment, the public evaluation value KA1 corresponding to the object EA1 (or the homestay U1) and the public evaluation value KA2 corresponding to the object EA2 (or the homestay U2) are respectively via equation (4) (5) Produced.

KA1=(G11+G12+G13)/3=(4+3.5+3.8)/3=3.77 (4)

KA2=(G21+G22+G23)/3=(2+5+4)/3=3.67 (5)

In step 514, the processing unit 104 performs a second operation CP2 according to the personalized preference parameter structure BS and the set of HA public evaluation parameter structures HA1, HA2, ..., HA8, HA9 to generate a first operation EA with the first group of EAs. A set of KB personalized evaluation values KB1, KB2, ..., KB8, KB9 corresponding to the objects EA1, EA2, ..., EA8, and EA9, wherein the set of KB personalized evaluation values KB1, KB2, ..., KB8, KB9 represents the User 120's preference value for the first set of EA objects EA1, EA2, ..., EA8, EA9. In an embodiment, the second operation CP2 is a weighted average operation. In another embodiment, the second operation CP2 is an associative analysis operation.

For example, in step 514, the processing unit 104 performs a weighted average based on the personalized preference parameter structure BS (or the set of B1 personalized preference parameters B11, B12, and B13) and the set of HA public evaluation parameter structures HA1, HA2. The operation is performed to generate a set of KB personalized evaluation values KB1, KB2 corresponding to the first group of EA travel objects EA1 (or B&B U1), EA2 (or B&B U2). For example, the personalized evaluation values KB1 and KB2 are generated via equations (6) and (7), respectively.

KB1=[(B11*G11)+(B12*G12)+(B13*G13)]/(B11+B12+B13)=[(3*4)+(3.5*3.5)+(5*3.8)]/ (3+3.5+5)=3.76 (6)

KB2=[(B11*G21)+(B12*G22)+(B13*G23)]/(B11+B12+B13)=[(3*2)+(3.5*5)+(5*4)]/ (2+5+4)=3.95 (7)

In step 516, the processing unit 104 performs a third operation CP3 on the first group of EA objects EA1, EA2, ..., EA8, EA9 according to the set of KB personalized evaluation values KB1, KB2, ..., KB8, KB9, To produce a second set of EB objects EB1, EB2, ..., EB6, EB7 having a particular order. In an embodiment, the third operation CP3 is an arrangement operation, such as bubble sorting, quick sorting, and the like. That is, the processing unit 104 reorders the first group of EA objects EA1, EA2, ..., EA8, EA9 according to the preference of the user 120 for the first group of EA objects EA1, EA2, ..., EA8, EA9. And generating the second set of EB objects EB1, EB2, ..., EB6, EB7 in the specific order that matches the user 120 preference priority.

In one embodiment, the third operation CP3 is an optimization operation; for example, the processing unit 104 uses the optimization operation to select an object that has the highest preference for the user 120. For example, the second set of EB objects EB1, EB2, ..., EB6, EB7 includes all or a portion of the first set of EA items EA1, EA2, ..., EA8, EA9. In an embodiment, the processing unit 104 performs the third operation CP3 to generate a personalized message C1 including the second group of EB objects EB1, EB2, ..., EB6, EB7, and the person through the interface unit 102 The message C1 is presented to the user 120. Therefore, the device 100 mediates the personalized message C1 with the user 120, or mediates the second group of EB objects EB1, EB2, ..., EB6, EB7 with the user 120.

In an embodiment provided in accordance with Figures 1, 2(a), 2(b), 2(c), and 3, an apparatus 100 for message matching includes an interface unit 102 and coupling A processing unit 104 of the interface unit 102. The interface unit 102 prompts an object category PA related to a first group of EA objects EA1, EA2, ..., EA8, EA9, and receives a personalized preference parameter structure RS and a first set of public evaluation parameter structures S1, S2, ..., SN. The processing unit 104 calculates the first group of EA objects one by one according to the set R1 personalization preference parameter and the first set of public evaluation parameter structures S1, S2, . . . , SN to obtain an operation result.

In an embodiment, the processing unit 104 controls the interface unit 102. In an embodiment, the interface unit 102 controls the processing unit 104. In an embodiment, the interface unit prompts the plurality of object categories P11, P12, P13, and P14 for the user 120 to select one of the plurality of object categories P11, P12, P13, and P14, wherein the object category PA represents Selector. In an embodiment, the interface unit further prompts an object attribute structure F1 for the user 120 to input the set of R1 personalization preference parameters, wherein the object attribute structure F1 has the object category PA and is used to define the object category. A specific attribute structure AS of the PA.

In an embodiment, the processing unit 104 operates the first group of EA objects EA1, EA2, ..., EA8, EA9 one by one to generate a second group of EB objects EB1, EB2, ..., EB6, EB7 having a specific order. The first group of EA objects EA1, EA2, ..., EA8, EA9 includes the second group of EB objects EB1, EB2, ..., EB6, EB7. For example, the result of the operation includes the second set of EB objects EB1, EB2, ..., EB6, EB7. In an embodiment, the processing unit 104 converts the personalized preference parameter structure RS into a personalized preference parameter structure BS according to an arithmetic operation CV1, and operates the first group of EA objects one by one according to the personalized preference parameter structure BS. EA1, EA2, ..., EA8, EA9 generate the second set of EB objects EB1, EB2, ..., EB6, EB7.

In an embodiment according to the first diagram, the second (a), the second (b), the second (c), and the third diagram, a method for message matching includes the following steps: An object category PA of the first group of EA objects EA1, EA2, ..., EA8, EA9; receiving a personalized preference parameter structure RS and a first group corresponding to the first group of EA objects EA1, EA2, ..., EA8, EA9 Publicly evaluating the parameter structures S1, S2, ..., SN; and computing the first group of EA objects EA1, EA2, IE1 according to the personalized preference parameter structure RS and the first set of public evaluation parameter structures S1, S2, ..., SN , EA8, EA9 to get an operation result.

Referring to FIG. 4(a), FIG. 4(a) is a schematic diagram showing a first configuration of the travel system 400 for the apparatus 100 for message mediation according to an embodiment of the present invention. Referring to FIG. 4(b), FIG. 4(b) is a schematic diagram showing a second configuration of the travel system 400 to which the message matching device 100 of one embodiment of the present invention is applied. As shown in Figure 4(a), the travel system 400 has a preference setting 402 button. The user 120 clicks on "Preferences 402" to launch an interface unit 102 for performing a preference setting action. The interface unit 102 prompts an object category PA related to a first group of EA objects EA1, EA2, ..., EA8, EA9, and receives a personalized preference parameter structure RS and the first group of EA objects EA1, EA2, ..., EA8 A first group of public evaluation parameter structures S1, S2, ..., SN corresponding to EA9. Then, the processing unit 104 calculates the first group of EA objects EA1, EA2, ..., EA8, EA9 one by one according to the personalized preference parameter structure RS and the first group of public evaluation parameter structures S1, S2, ..., SN. An operation result. In one embodiment, the operation is for generating a second set of EB objects EB1, EB2, ..., EB6, EB7 having a particular order, wherein the first set of EA objects EA1, EA2, ..., EA8, EA9 comprises The second set of EB objects EB1, EB2, ..., EB6, EB7.

For example, the user 120 selects the homestay category P13; then, the user 120 sets the personalized preference parameter structure RS (please refer to FIG. 2(c)). Then, as shown in FIG. 4(b), the travel system 400 generates the house item U1 and the house item U2, and presents the arrangement of the house item U2 in preference to the house item U1, wherein the item EB1 represents the house item U2, and the object EB2 On behalf of the property object U1.

In an embodiment, the processing unit 104 calculates the first group of EA objects EA1, EA2, ..., EA8, EA9 one by one to generate a first result, and according to the first result, the first group of EA objects EA1, EA2 One of the items of the personalized preference parameter structure RS is selected as the result of the operation, and the result of the operation is presented to the user 120 through the interface unit 102. For example, the first result is a set of KB personalized evaluation values KB1, KB2, ..., KB8, KB9 corresponding to the first set of EA objects EA1, EA2, ..., EA8, EA9, respectively. For example, the travel system 400 generates a homestay U2 that is most suitable for the user 120 to recommend to the user 120 based on the personalized preference parameter structure RS set by the user 120. If the user 120 is not satisfied with the operation result, the "preference setting 402" may be clicked again to reset the personalized preference parameter structure RS.

Example

A method for message mediation, comprising: providing an interface, the interface prompting a tourist object attribute structure; receiving, by the interface, a first personalized preference parameter structure corresponding to the tourist object attribute structure; according to the travel object Attributes are filtered from a public message to generate a first set of travel objects; obtaining the first set of travel objects is pre-measured to form a first set of public evaluation parameter structures corresponding to the first set of travel objects; The first personalized preference parameter structure and the first set of public evaluation parameter structures perform a first operation to generate a second set of travel objects having a particular order, wherein the first set of travel objects includes the second set of travel objects.

2. The method according to embodiment 1, wherein the first operation further comprises: converting the first personalized preference parameter structure into a second personalized preference parameter structure according to an arithmetic operation; according to the second personalized preference parameter Constructing a second operation with the first set of publicly evaluated parameter structures to generate a set of personalized evaluation values corresponding to the first set of travel objects; and the first set of travels based on the set of personalized evaluation values The object performs a third operation to produce the second set of travel objects having the particular order.

3. The method according to any one of the preceding embodiments, wherein the first set of public evaluation parameter structures are from at least one of a website, a supplier, and a user, the second operation is weighted, related Analytic operations or a combination thereof.

4. The method of any one of the preceding embodiments, wherein: the third operation comprises a sort operation; and the filtering from the public message comprises: generating a third set of travel objects, wherein the third set of travel The object is pre-measured to form a second set of public evaluation parameter structures corresponding to the third set of travel objects; and a set of public evaluation values corresponding to the third set of travel objects are generated according to the second set of public evaluation parameter structures; And sorting the third set of travel objects according to the set of public evaluation values to generate the first set of travel objects.

5. The method of any one of the preceding embodiments, wherein: the travel object attribute structure comprises a travel object category and a specific attribute structure; the specific attribute structure comprising a set of travel object attributes, the set of travel object attributes At least one of a cooking attribute, a room attribute, and a service attribute is included; and the personalized preference parameter structure includes a set of personalized preference parameters, and the set of personalized preference parameters corresponds to the set of travel object attributes.

6. The method according to any one of the preceding embodiments, wherein the personalized preference parameter structure is a degree of preference or preference of a traveler to the specific attribute structure, and the specific order is based on the personalized preference parameter structure. The first set of objects are reordered in order and have an order that matches the traveler's preferences.

7. A device for message matching, comprising: an interface unit, prompting an object category related to a first group of objects, and receiving a personalized preference parameter structure; and a processing unit to obtain the first group of objects to be pre- Measure to form a first set of public evaluation parameter structures corresponding to the first group of objects, and calculate the first group of objects one by one according to the personalized preference parameter structure and the first set of public evaluation parameter structures to obtain an operation result.

8. The device of embodiment 7, wherein the interface unit prompts a plurality of object categories for the user to select one or more from among.

9. The device of embodiments 7-8, wherein the operation is to generate a second set of items having a particular order, wherein the first set of items comprises the second set of items.

10. A method for message matching, comprising: prompting an object category relating to a first set of objects; receiving a personalized preference parameter and a first set of public evaluation parameter structures corresponding to the first set of objects; The personalized preference parameter and the first set of public evaluation parameter structures operate the first set of objects one by one to obtain an operation result.

Generally, the conventional system determines the order in which the first group of objects are presented according to the public evaluation value, that is, presents the object to the interface in accordance with the preferences of the public. However, the message matching device of the present invention determines the presentation order of the first group of objects according to the personalized evaluation value, and presents the object to the user in a manner that is expected by the user, so that the user can find the item more efficiently. Information that meets the needs.

Although the present invention has been disclosed in the above embodiments, it is not intended to limit the present invention, and the present invention can be modified and modified without departing from the spirit and scope of the present invention. The scope is subject to the definition of the scope of the patent application attached.

10. . . Message mediation system

100. . . Device

102. . . Interface unit

104. . . Processing unit

106. . . database

108. . . Database unit

120. . . user

140. . . network

142. . . Internet

200. . . Interface structure

202. . . First interface

204. . . Second interface

400. . . Tourism system

402. . . Preferences

BS. . . Personalized preference parameter structure

CP1. . . First operation

CP2. . . Second operation

CP3. . . Third operation

CV2. . . Arithmetic operation

AS. . . Specific attribute structure

BS. . . Personalized preference parameter structure

D1. . . Public message

EA. . . First group

EA1, EA2, EA8, EA9. . . object

EB. . . Second Group

EB1, EB2, EB6, EB7. . . object

F1. . . Object attribute structure

PA. . . Object category

RS. . . Personalized preference parameter structure

KB1, KB2, KB8, KB9. . . Personalized evaluation value

S1, S2, SN. . . Public evaluation parameter structure

The above and other objects, features, advantages and embodiments of the present invention will become more apparent and understood. The various features in the figures are not to scale, and the dimensions of the various features can be arbitrarily enlarged or reduced.

1 is a schematic diagram of a message matching device according to an embodiment of the present invention.

FIG. 2(a) is a schematic diagram showing a first interface of one of the interface units of the message matching device according to an embodiment of the present invention.

FIG. 2(b) is a schematic diagram showing a second interface of one of the interface units of the message matching device according to an embodiment of the present invention. .

FIG. 2(c) is a schematic diagram showing a second interface of one of the interface units of the message matching device according to an embodiment of the present invention.

FIG. 3 is a flow chart showing the operation of a processing unit of a message matching device according to an embodiment of the present invention.

Figure 4(a) is a schematic diagram showing a first configuration of a travel system to which a device for message mediation is applied in accordance with an embodiment of the present invention.

Figure 4(b) is a diagram showing a second configuration of a travel system to which the message matching device of one embodiment of the present invention is applied.

10. . . Message mediation system

100. . . Device

102. . . Interface unit

104. . . Processing unit

106. . . database

108. . . Database unit

120. . . user

140. . . network

AS. . . Specific attribute structure

BS. . . Personalized preference parameter structure

C1. . . Personalized message

CV1. . . Arithmetic operation

D1. . . Public message

EA. . . First group

EA1, EA2, EA8, EA9. . . object

EB. . . Second Group

EB1, EB2, EB6, EB7. . . object

F1. . . Object attribute structure

PA. . . Object category

RS. . . Personalized preference parameter structure

Claims (10)

A method for message mediation, comprising: providing an interface; providing a first set of travel objects, and a first set of public evaluation parameter structures corresponding to one of the first set of travel objects, wherein the first set of public evaluation parameters The structure is formed by the first group of travel objects being pre-measured; receiving a first personalized preference parameter structure through the interface; and performing a first operation according to the first personalized preference parameter structure and the first set of public evaluation parameter structures, To generate a second set of travel items having a particular order, wherein the first set of travel items includes the second set of travel items. The method of claim 1, wherein the first operation further comprises: converting the first personalized preference parameter structure into a second personalized preference parameter structure according to an arithmetic operation; according to the second personalized preference The parameter structure performs a second operation with the first set of public evaluation parameter structures to generate a set of personalized evaluation values corresponding to the first set of travel objects; and the first set of travels according to the set of personalized evaluation values The object performs a third operation to produce the second set of travel objects having the particular order. The method of claim 2, wherein the first set of public evaluation parameter structures are from at least one of a website, a supplier, and a user, and/or the second computing system is weighted, and connected. Analytical operations or a combination thereof. The method of claim 2, wherein: the third operation comprises a sorting operation; and screening from a public message comprises: generating a third set of travel objects, wherein the third set of travel objects are pre-measured Forming a second set of public evaluation parameter structures corresponding to the third group of travel objects; generating a set of public evaluation values corresponding to the third set of travel objects according to the second set of public evaluation parameter structures; and according to the group The public evaluation value sorts the third set of travel objects to generate the first set of travel objects. The method of claim 1, wherein: the interface prompts the tourist object attribute structure; receiving, by the interface, the first personalized preference parameter structure corresponding to the tourist object attribute structure; the tourist object attribute structure includes a One or a combination of a tourism object category and a specific attribute structure; the specific attribute structure includes a set of travel object attributes, the set of travel object attributes including at least one of a cooking attribute, a room attribute, and a service attribute; and the personalized preference The parameter structure contains a set of personalized preference parameters, and the set of personalized preference parameters corresponds to the set of travel object attributes. The method of claim 5, wherein the personalized preference parameter structure is a degree of preference or preference of a traveler to the particular attribute structure, and the specific order is based on the personalized preference parameter structure. The order in which the group objects are reordered has an order that matches the traveler's preferences. An apparatus for message matching includes: an interface unit that receives a personalized preference parameter structure; and a processing unit that obtains a first set of objects and a first set of public evaluation parameter structures, wherein the first set of public evaluations The parameter structure is formed by the first group of objects being pre-measured, and the first group of objects is operated one by one according to the personalized preference parameter structure and the first set of public evaluation parameter structures to obtain an operation result. The device of claim 7, wherein the interface unit prompts an item category related to the first group of objects. The device of claim 7, wherein the interface unit prompts a plurality of object categories for the user to select one or more of the objects, the operation is for generating a second group of objects having a specific order, Wherein the first set of objects comprises the second set of objects. A method for message matching includes: receiving a personalized preference parameter and a first set of public evaluation parameter structures corresponding to a first set of objects; and constructing the evaluation parameter structure according to the personalized preference parameter and the first set The first set of objects are operated one by one to obtain an operation result.