JP2003167944A - Optimal plan selection support system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To allow a user to easily compare and examine a plurality of plans having similar contents. <P>SOLUTION: A data classifying-relating means 7 classifies and relates a plan data group gathered by a data gathering means 4 by using a keyword set by a keyword setting means 5. A user designating data input means 9 provides a user designating data setting image screen, and inputs the check content and a hang-up degree designated from the user 1. A data selecting- scoring means 11 selects and scores gathering data classified and related by the data classifying-relating means 7 on the basis of the check content and the hang-up degree, and forms totalizing data on the basis of selection and scoring. A totalizing data informing means 13 informs the user 1 and a data provider 2 of the totalizing data. <P>COPYRIGHT: (C)2003,JPO

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to one or more data providers (for example, a travel agency (including a travel service provider other than the name "travel agency")).
Optimal plan selection for the purpose of making it easy for users to compare and examine "plans with similar contents" such as the plans and plans offered by each (for example, tour / pack travel plans) Regarding support system.

[0002]

2. Description of the Related Art As a conventional technique for creating a travel schedule at a travel agency or the like, there is a system for determining a route, a hotel, a destination, a required time, etc., based on the contents input by the user. .

However, in such a system, even if a travel schedule is created using the system,
Since the trip is a “free trip”, there is a problem in that the user cannot use a general-purpose tour plan such as a “cheap tour” provided by a travel agency or the like.

Incidentally, such a problem does not occur only when determining a tour plan,
"When determining the optimal (strictly considered optimal) plan from multiple plans with similar contents" In general, it occurs in the form that "the application cannot be versatile" This is a problem.

On the other hand, as a system that does not have the above-mentioned problems, it assists the user in selecting an optimal plan from a group of plans (for example, tour plans) provided by a travel agency or the like. A system, that is, an optimal plan selection support system is desired.

[0006] Conventionally, in this kind of optimum plan selection support system, the number of plan data (tour data) is narrowed down by sequentially selecting desired contents from a number of options regarding the tour plan selection. There was a method to go and a method to narrow down the tour plan including it from the destination etc. by the search system.

[0007]

The above-mentioned conventional technique (optimum plan selection support system) has the following problems.

The first problem is that even if the desired tour is sequentially narrowed down from among several options, the search system selects a tour that is considered to meet the desired tour and refers to the contents to select the desired tour. Even when narrowing down the tour, it means that the user has to access all the homepages of the travel agency companies and perform the same work each time. That is, there is a problem that the amount of work of the user required to access the data becomes enormous.

The second problem is that in order to decide the tour to actually participate after obtaining detailed information of the tour, necessary information is read out from the information and the tour data are compared and examined. Therefore, the work for such comparison and examination is very troublesome for the user. That is, there is a problem in that the burden (complication) on the user for comparing and examining the collected data becomes large.

The above problems are not limited to the optimum plan selection support system for the tour plan,
There is also an optimal plan selection support system for any plan.

In view of the above points, an object of the present invention is to allow a user to compare and examine a plurality of plans having similar contents such as a tour / pack travel plan planned by a plurality of travel agencies. It is to provide an optimal plan selection support system that can be easily performed.

The "plan" to be selected in the present invention
In addition to the tour plan, for example, a plan such as a product specification in selling a product (purchasing a product from the user's perspective) and a service content in determining a store such as a restaurant can be considered.

[0013]

The optimum plan selection support system of the present invention provides data in an information processing system for exchanging data (information) with a user and one or more data providers (data providers having a database). When collecting and associating the plan data group with the data collection means for accessing the original group database and collecting the plan data group, and when deciding the check items and desired content options that can be displayed on the user-specified data setting screen A keyword setting means for setting a keyword used for, and a data classification / association means for classifying / associating the plan data group collected by the data collecting means by using the keyword set by the keyword setting means, Provide the user-specified data setting screen to the user and specify it by the user. User-specified data input means for inputting check contents (check items and desired contents regarding the check items) and sticking frequency (information indicating how much importance is attached to the desired contents in the check items), and the user specification The collected data (plan data group) that has been classified and related by the data classification / association device is selected / scored based on the check contents and the degree of commitment input by the data input device, and based on the selection / scoring. Data selection that generates aggregated data (data indicating ranking etc.)
It has a scoring means and a total data notifying means for notifying the user and the data provider of the total data generated by the data selecting / scoring means.

Further, the optimum plan selection support system of the present invention is a data processing system for exchanging data with a user and one or more data providers, for accessing a database of data provider groups to collect plan data groups. Collection means, keyword setting means for setting keywords used when classifying and associating plan data groups and determining check items and desired content options that can be displayed on the user-specified data setting screen, and the keyword A data classification / association means for classifying / associating the plan data group collected by the data collection means by using the keyword set by the setting means, and a join condition between the check contents can be designated to the user. Provide the user specified data setting screen and check the user specified data. The user-specified data input means for inputting the content, the degree of commitment, and the join condition between the check contents, and the check content input by the user-specified data input means is reset according to the join condition input by the user-specified data input means. The collected data that has been classified / associated by the data classification / association means based on the check content / sticking frequency resetting means and the check content and sticking frequency after resetting by the check content / sticking frequency resetting means ( Data selection / scoring means for selecting / scoring (plan data group) and generating aggregated data based on the screening / scoring,
It is also possible to have a total data notifying unit for notifying the user and the data provider of the total data generated by the data selecting / scoring unit.

Furthermore, the optimum plan selection support system of the present invention is a data processing system for exchanging data with a user and one or more data providers, which collects plan data groups by accessing a database of data provider groups. A user-specified data free input means that provides a collection means and a user-specified data setting screen that allows free input to the user, and inputs the check contents and the degree of commitment that are freely specified by the user on the user-specified data setting screen Then, after correcting the term of the check content designated by the user (correction for unifying different terms indicating the same content, etc.), the keyword is extracted from the check content input by the user designated data free input means. And a keyword extracting means for extracting After performing associated classification and plan data set collected by the data collecting means by using the keyword, and classification by checking the contents and Good frequency corrected by the keyword extracting unit
The plan data group after associating is selected / scored, and the data classification / association / selection / scoring means for generating aggregated data based on the screening / scoring and the data classification / association / selection / scoring means are generated. It is also possible to have a total data notifying unit for notifying the user and the data provider of the total data.

In addition, the optimum plan selection support system of the present invention is a check item and a desired content option that can be displayed on a user-specified data setting screen in an information processing system that exchanges data with a user and one or more data providers. The keyword setting means for setting the keyword used when determining the value, the user-specified data input means for providing the user with the user-specified data setting screen, and inputting the check contents and the particular frequency specified by the user, When the request of the above is received, the database of the data providing source group is accessed to select and collect the plan data group, and the above-described selection and collection are performed based on the check contents and the particular frequency input by the user-specified data input means. The plan data group is scored, and the aggregated data is calculated based on the score. And data sorting collection and scoring means for forming may be configured to have a summary data notification means for notifying a summary data generated by said data sorting collection and scoring means to the user and data provider.

In the present invention, the first step of setting a keyword group by extracting it from various kinds of information related to the plan to be selected, and accessing the database of each data provider to collect the plan data group. Second
And a third step of classifying and associating each plan data collected in the second step based on the keyword group set in the first step,
Providing the user with a user-specified data setting screen on which check items and desired content options based on the keywords set in the first step can be displayed (provided using a homepage, etc.); The fifth step of inputting the check content and the degree of commitment designated by the user on the data setting screen, and the collected data collected in the second step and classified / associated in the third step ( Aggregate each plan data in (plan data group) based on the sixth step of selecting and scoring according to the check content and the degree of commitment input in the fifth step, and the scoring (evaluation) in the sixth step The seventh step of generating data (data indicating ranking etc.) and the collection generated in the seventh step. It is also possible to realize the optimal plan selection support method and a eighth step of notifying the data to the user and data provider.

The present invention also provides an information processing system for exchanging data with a user and one or more data providers, a data collecting means for accessing a database of data provider groups to collect a plan data group, and a plan data group. The keyword setting means for setting the keywords to be used when categorizing and associating with each other and determining the check items and desired content choices that can be displayed on the user-specified data setting screen, and the keywords set by the keyword setting means. Data classification for classifying and associating the plan data group collected by the data collection means using
Association means, providing a user-specified data setting screen to the user, and inputting the check content and the commitment frequency specified by the user, the user-specified data input means, based on the check content and the commitment frequency input by the user-specified data input means The data sorting / scoring means for sorting / scoring the collected data classified / correlated by the data sorting / associating means, and generating aggregated data based on the sorting / scoring, and the data sorting / scoring means It is also possible to implement it as a program for causing the generated aggregated data to function as aggregated data notification means for notifying the user and the data provider.

[0019]

DESCRIPTION OF THE PREFERRED EMBODIMENTS Next, the present invention will be described in detail with reference to the drawings.

(1) First Embodiment

FIG. 1 is a block diagram showing the configuration of an optimum plan selection support system according to the first embodiment of the present invention.

Referring to FIG. 1, the optimum plan selection support system according to the present embodiment exchanges data (information) with a user 1 and one or more data providers 2 (data provider 2 having a database 3). This is realized in the information processing system (this point is the same in the second to sixth embodiments described later).

This optimum plan selection support system includes a data collection means 4, a keyword setting means 5, a keyword storage area 6, a data classification / association means 7, a collected data storage area 8, and a user designated data input means 9.
User specified data storage area 10 and data selection /
It comprises a scoring unit 11, a total data storage area 12, and a total data notification unit 13.

The data collection means 4 accesses the database 3 of one or more data providers 2 and collects a plan data group (tour data group in this embodiment).

The collected data storage area 8 is an area for storing the collected data (collected plan data group).

The keyword setting means 5 sets keywords used when classifying / associating the plan data groups and determining the check items and desired content choices that can be displayed on the user-specified data setting screen. In order to improve the user interface, the terms of the check item and the desired content option may be changed from the keyword itself while maintaining the same meaning. For example, the keyword “time” may be changed to a check item “when?”.

The keyword storage area 6 is an area for storing the keyword group.

The data classifying / associating means 7 classifies / associates the plan data group using the keywords.

The user-specified data input means 9 is used by the user 1.
The user-specified data setting screen is provided to the user through the homepage, etc., and the check contents (check items and desired contents regarding the check items) specified by the user 1 and the degree of commitment (how much importance is placed on the desired contents in the check items). Information indicating the degree).

The user designated data storage area 10 is an area for storing the check contents and the degree of commitment designated by the user 1.

The data selection / scoring means 11 selects / scored the collected data (plan data group) based on the check contents and the degree of commitment, and based on the screening / scoring, the data indicating the ranking etc. (aggregated data). To generate.

The total data storage area 12 is an area for storing total data.

The aggregated data notifying means 13 notifies the user 1 and the data provider 2 of the aggregated data.

FIG. 2 is a block diagram showing an application mode of the optimum plan selection support system according to the present embodiment. As shown in FIG. 2, the optimal plan selection support system according to the present embodiment is accessed by a user by designating desired contents and the like, and tour data collected from each of one or more travel agencies (data providers). Information processing for the purpose of providing (notifying) user and each travel agency with aggregated data indicating tour rankings, etc. by comparing, selecting, and scoring (ranking processing) groups (corresponding to plan data groups) It is realized on the system (tour comparison system).

FIG. 3 is a flowchart showing the processing of the optimum plan selection support system according to this embodiment. This processing includes a keyword setting step A1, a plan data collecting step A2, a plan data classification / association step A3, and a user designated data setting screen providing step A4.
And check contents and commitment frequency input step A5
A collection data selection / scoring step A6, a total data generation step A7, and a total data notification step A8.

FIG. 4 is a diagram showing a specific example of a user-specified data setting screen adopted in the optimum plan selection support system according to this embodiment.

FIG. 5 and FIG. 6 are views showing specific examples of the aggregated data notification screen adopted in the optimum plan selection support system according to the present embodiment.

Next, with reference to FIGS. 1 to 6, the overall operation of the optimum plan selection support system according to the present embodiment configured as described above will be described in detail.

First, the keyword setting means 5 extracts keywords from various information related to tours such as tourist spots, hotels, amusement facilities, etc., so that keywords (in terms used for classifying and associating plan data) Yes, a check item to be designated by the user 1 and a group of terms that are the basis of the desired content option are set, and the keyword group is stored in the keyword storage area 6 (step A1).

When considering a general "plan" not limited to a tour plan, the contents of the keyword setting process described above are "keyword group by extracting from various information in the field related to the plan to be selected". To set up. "

The data collecting means 4 is provided by each data provider 2
The data (tour data, generally referred to as "plan data") provided by each travel agency for the tour / pack trip etc. is accessed by accessing the database 3 of (the travel agency in the present embodiment). The collected data (the tour data group) is stored in the collected data storage area 8 (step A2).

The data classification / association means 7 reads the keyword group set in step A1 from the keyword storage area 6 and collects it based on the read keyword group (keyword group regarding schedule, price, schedule, and stopovers, etc.). The plan data stored in the data storage area 8 are categorized and associated (classification is performed based on keywords, and the keywords are associated with the plan data), and the plan data group after the categorization and association is collected in the data storage area 8 Save it again to (Step A
3).

On the other hand, the user-specified data input means 9 uses the home page or the like to display the user-specified data setting screen on which the check items and desired contents options based on the keywords used in the above-mentioned classification / association can be displayed. 1 (step A4).

In this embodiment, for example, a user-specified data setting screen having a setting format as shown in FIG. 4 is used.

The "keyword-based check item or desired content option" includes the expression changed from the keyword itself so that the user 1 can easily understand it. It is also possible to display the same check items in a superimposed manner (see the check item "What is a hotel?" In FIG. 4).

The user 1 designates check items (items relating to schedule, price, schedule, stopover, etc.) on this user-specified data setting screen via the homepage, and selects desired contents for the check items. Select (specify) one's desired content from among the above, and further specify information (adherence frequency) indicating how much importance is attached to the check content (the desired content for the check item).

The user designated data input means 9 responds to the user designated data setting screen with the user 1 as described above.
The check content (check item and desired content) and the degree of commitment specified from are input, and the user designated data (check content and degree of commitment) is stored in the user designated data storage area 10 (step A5).

The data selecting / scoring means 11 classifies / associates the data by the data classifying / associating means 7 and stores each of the collected data (plan data group after classification / association) stored in the collected data storage area 8. The plan data is selected and scored according to the check content and the particular frequency stored in the user-specified data storage area 10 (step A6).

This selection / scoring process is realized as shown in a to c below.

A. First, check items (selection check items) for which information indicating "absolutely necessary" (for example, information such as "Zetai!" In FIG. 4) is set in the particular frequency, Plan data (tour data) that matches the desired content designated (selected) (for example, the desired content "the beautiful place of the sea" in the first check item (item "what?") In Fig. 4) ) Only is selected from the collected data. It goes without saying that there may be no check items for selection (in this case, the processing of the next step b is performed for all plan data).

B. Next, by comparing the desired contents of each check item with the contents of each plan data for the plan data group left after the selection of the above a, each plan data becomes a plan data that matches the desired contents. If applicable, the commitment frequency set for the check content for the plan data is added as a point.

C. By repeating the work of b above for all check items for each plan data,
It is possible to evaluate (score) the tour data (plan data) that matches the desired content of the user 1 with a score indicating the degree to which the desired content is satisfied.

The data selection / scoring means 11 generates aggregated data indicating the result (ranking) of ranking by the evaluation (scoring), and stores the generated aggregated data in the aggregated data storage area 12 (step A7). .

The aggregated data notifying means 13 notifies the aggregated data to the user 1 and the data provider 2 (travel agency) (step A8).

In the present embodiment, for example, the notification of step A8 is performed by using the summary data notification screens in the formats shown in FIGS. 5 and 6.

Here, FIG. 5 is an example of a summary data notification screen having a format for showing a tour plan with a higher ranking in the total score (score for all check contents).

FIG. 6 is an example of a summary data notification screen having a format for showing a ranking according to the degree of satisfaction for each check content. In addition, as a premise of generating the aggregated data notification screen in the format as shown in FIG. 6, it is necessary that classification is performed by stepwise evaluation when classifying and associating with the keyword corresponding to the check content. For example, when classifying and associating with "the beautiful part of the sea", the classification and associating that also considers the extent to which the part of the beautiful part of the sea is applicable ("Maldives is rated 100, Tahiti is rated 98"). Must have been done.

By performing such a notification (notification by the two types of totalized data notification screens as shown in FIGS. 5 and 6), the user 1 can make a comprehensive evaluation and an evaluation for each check content. It becomes possible to confirm / determine with one data setting.

As described above, the optimum plan selection support system according to the present embodiment allows the user 1 to obtain the aggregated data having the ranking indicating the degree of the check contents desired by the user 1. Thus, it becomes possible to easily select the optimum plan (tour plan in the present embodiment).

Further, the travel agency which is the data provider 2 can use the above aggregated data as an information source for planning a popular tour plan.

(2) Second embodiment

The concept of the optimal plan selection support system according to the first embodiment is that the product (the product whose specifications can be quantitatively expressed) is sold (purchased from the user side).
It is also possible to apply to the selection of the plan (selecting the product to be purchased from the same type of product group). In such a case, the following second embodiment can be considered as a modification of the first embodiment described above.

That is, the optimal plan selection support system according to the second embodiment of the present invention has a feature that the data classification / association means 7 performs classification / association using a matrix (the structure is (Similar to the configuration shown in FIG. 1).

For example, a video camera has various similar products of the same kind because its use is determined, but each model has various functions / performances (specifications that can be quantitatively expressed), and they are created by the same manufacturer. The specifications of various products are diverse.

Therefore, when the user considers the purchase of such a product, it is very troublesome to compare the difference in the specifications and the price (the price can be quantitatively expressed) of each product with respect to each product. Is.

Therefore, in selecting such a product,
By applying the optimum plan selection support system of the present invention, it is possible to create an appropriate ranking for each user, and it is possible for the user to easily make a decision when selecting a purchased product.

The characteristic operation of the optimum plan selection support system according to the present embodiment (an operation exemplifying selection of a video camera) will be described below.

FIG. 7 is a diagram for explaining the operation of the optimum plan selecting system according to this embodiment, and is a matrix (used for classification / association) when a video camera is a product to be selected. FIG. 3 is a diagram showing a specific example of a processed matrix).

The data collecting means 4 collects data (plan data) about the video camera from the data provider 2 (manufacturer / maker).
(Collection shop).

The keyword setting means 5 sets items relating to the weight, size, price, function (for example, continuous specifiable time and zoom magnification) of the video camera as keywords.

The data classifying / associating means 7 uses the above-mentioned keywords to determine the weight, size, price, and function (for example, continuous specifications) of the video camera from each plan data collected by the data collecting means 4. Information about items such as available time and zoom magnification is extracted, and the relationship between each item and the numerical value (quantitative information) of each product is shown in FIG.
They are classified and related in the form of a matrix as shown in.

The data classifying / associating means 7 also sets ranking data (“rank” in FIG. 7) for each item in this matrix for each item such as weight, continuous usable time, price, and zoom magnification. Please refer to).

The user-specified data input means 9 is the user 1
Enter the check contents and attention frequency that you are interested in when considering and selecting the purchased product.

The data selecting / scoring means 11 uses the above matrix to select and score the target plan data (data of each video camera) based on the check contents and the degree of commitment specified by the user 1. In other words, for the check items related to the check items for selection (check items for which the degree of commitment is "absolutely necessary", for example), products that do not meet the numerical conditions specified by the desired content are selected, and other items are selected. For products of the above (which satisfy the conditions), the user 1
The points for each product are calculated by adding points based on the specified degree of commitment, and aggregated data indicating the ranking result and the like based on the score is generated. As a result, the products satisfying the user's 1 desired content are ranked in the order of score according to the user 1's desired level (adherence level).

The total data notifying means 13 notifies the user 1 of this total data, and also notifies the data provider 2 which is a maker / store.

(3) Third Embodiment

FIG. 8 is a block diagram showing the configuration of the optimum plan selection support system according to the third embodiment of the present invention.

Referring to FIG. 8, the optimum plan selection support system according to the present embodiment has a data collection means 4, a keyword setting means 5, a keyword storage area 6, a data classification / association means 7, and collected data. Storage area 8
A user-specified data input means 9, a user-specified data storage area 10, a data selection / scoring means 11, a total data storage area 12, and a total data notification means 13,
The check contents / discerning frequency resetting means 14 is included.

The data collection means 4 accesses the database 3 of one or more data providers 2 and collects plan data groups (store data groups in this embodiment).

The collected data storage area 8 is an area for storing the collected data (collected plan data group).

The keyword setting means 5 sets keywords used when classifying and associating plan data groups and determining check items and desired content options that can be displayed on the user-specified data setting screen.

The keyword storage area 6 is an area for storing the keyword group.

The data classifying / associating means 7 classifies / associates the plan data group using the keywords.

The user-specified data input means 9 is used by the user 1
Provides the user-specified data setting screen (user-specified data setting screen that allows specification of the join condition between the check contents) via the homepage, etc., and the check contents (check items and their check items specified by the user 1 Desired content option regarding), commitment frequency (information indicating the degree to which the desired content in the check item is emphasized), and the connection condition between the check content are input.

The user-specified data storage area 10 has a check content specified by the user 1, a degree of commitment,
It is an area for storing a join condition.

Check contents / adherence frequency resetting means 1
In step 4, the check content is reset according to the combining condition, and the check content and the particular frequency after resetting are stored again in the user-specified data storage area 10.

The data selection / scoring means 11 selects / scores the collected data (plan data group) based on the check contents after resetting and the degree of commitment, and the data indicating the ranking etc. based on the selection / scoring ( Aggregated data)
To generate.

The total data storage area 12 is an area for storing total data.

The total data notifying means 13 notifies the user 1 and the data provider 2 of the total data.

The optimum plan selection support system according to this embodiment is applied to the selection of a store (the store itself corresponds to the "plan" to be selected).

For example, a banquetable restaurant (restaurant serving as a banquet hall) and a wedding hall have their uses generally determined, but there are many similar stores, and the service contents of each store are various. From these stores, it is very difficult for the user to find a store that best suits his taste.

Therefore, by applying the optimal plan selection support system of the present invention to the selection of such a store, it is possible to create a store ranking according to the wishes of each user. Can make decisions easier.

Here, of course, it is possible to directly apply the optimum plan selection support system according to the above-described first embodiment to such "store selection", but this embodiment ( It is also possible to improve such as the third embodiment.

Considering a case where the concept of the optimum plan selection support system according to the first embodiment is applied to the selection of a store, the user 1 is concerned about check items and items when considering a banquet hall (store). The desired content and the particular frequency are designated (the user-specified data input means 9 inputs the data and stores it in the user-specified data storage area 10).

However, only by specifying / inputting such check contents (check items and desired contents) and commitment frequency, for example, when the desired food may be Chinese food or Japanese food, the check contents regarding "Chinese food" and "Japanese food" If you set the check contents and particular frequency separately from the check contents related to "," the balance with other check contents becomes complicated and difficult to understand.

Therefore, in the present embodiment, the relation between the check contents can be designated by the join condition (OR condition or AND condition), so that the contents designated by the user 1 further match the wishes of the user 1. Can be something.

That is, a remarkable feature of the configuration of the optimal plan selection support system according to the present embodiment is that the check contents / adherence frequency resetting means 14 is present in the configuration of the first embodiment. is there.

FIG. 9 is a flow chart showing the processing of the optimum plan selection support system according to this embodiment. This process includes a keyword setting step B1, a plan data collecting step B2, a plan data classifying / associating step B3, a user specification data setting screen providing step B4 in which a combination condition can be specified, a check content, a particular frequency, and a combination condition input It comprises a step B5, a check content and sticking frequency reset step B6, a collected data selection / scoring step B7, a total data generation step B8, and a total data notification step B9. Note that step B1, step B2, step B3, step B7, step B8, and step B9 are processing steps similar to step A1, step A2, step A3, step A6, step A7, and step A8 in FIG. is there.

FIG. 10 shows a user-specified data setting screen employed in the optimum plan selection support system according to the present embodiment (user-specified data in which a join condition between check contents can be input in addition to the check contents and the degree of commitment. It is a figure which shows the specific example of a (setting screen).

Next, with reference to FIGS. 8 to 10, the overall operation of the optimum plan selection support system according to the present embodiment configured as described above will be described. Here, the difference from the operation in the first embodiment will be mainly described.

As in the case of the first embodiment,
The keyword setting means 5 sets a keyword (step B1), the data collecting means 4 collects data (plan data) about the store from the database 3 of the data provider 2 (step B2), and the data classifying / associating means 7 Performs classification / association of collected data based on the keyword set by the keyword setting means 5 (step B3).

For example, in the case of selecting a banquetable restaurant, the plan data for each restaurant are classified and related based on the keywords regarding the number of people, transportation, services, and benefits.

The user-specified data inputting means 9 provides the user 1 with a user-specified data setting screen on which a combination condition can be set together with a check item, a desired content, and a commitment frequency, using a homepage or the like ( Step B4).

In the present embodiment, for example, a user-specified data setting screen having a setting format as shown in FIG. 10 is used to perform the processing of step B4.

The user 1 checks the check contents (“check item” and “desired contents (point of sticking)”) and the degree of sticking to the check contents on the user designated data setting screen via the homepage or the like. A join condition (“condition” in FIG. 10) between contents is designated.

The user designated data input means 9 inputs the data designated by the user 1 as described above, and saves the designated data (check contents, particular frequency, and joining condition) in the user designated data storage area 10. (Step B5).

Check contents / focused frequency resetting means 1
In step 4, the check contents and the particular frequency are reset so as to meet the combination condition set above, and the reset result is stored in the user-specified data storage area 10 (step B6).

The data selection / scoring means 11 carries out step B.
Using the check contents after resetting and the degree of commitment in 6 as in the case of the first embodiment,
Each plan data (data of the store in this embodiment) in the collected data is selected / scored (step B7).

At this time, according to the reset check content and the commitment frequency, the check item (selection check item) whose commitment frequency is, for example, “Zeitai!” Is omitted from the options. It is the first to sort (use the check items for sorting as a filter) and to score each store by adding points according to the degree of commitment for those stores that satisfy the desired content. The operation is similar to that of the embodiment.

Further, the data selection / scoring means 11 generates aggregated data indicating the result of ranking the stores that match the contents desired by the user 1 in the order of scores, and stores the generated aggregated data in the aggregated data storage area 12. Save (step B8).

The aggregated data notifying means 13 notifies the aggregated data to the user 1 and the data provider 2
(Restaurant etc.) is also notified (step B9).

(4) Fourth Embodiment

FIG. 11 is a block diagram showing the configuration of the optimum plan selection support system according to the fourth embodiment of the present invention.

Referring to FIG. 11, the optimum plan selection support system according to the present embodiment comprises a data collection means 4,
Collection data storage area 8, user designated data storage area 10, aggregated data storage area 12, aggregated data notification means 13, keyword extraction means 15, user designated data free input means 16, data classification / association /
The selection / scoring means 17 is included.

The data collection means 4 accesses the database 3 of one or more data providers 2 and collects plan data groups.

The collected data storage area 8 is an area for storing the collected data (collected plan data group).

The user-specified data free input means 16 is
The user 1 is provided with a user-specified data setting screen that allows free input via a homepage, etc., and the check contents (check items and desired contents) and particulars that the user 1 freely specifies for the user-specified data setting screen Enter the frequency.

The user designated data storage area 10 is an area for storing the check contents and the degree of commitment designated by the user 1.

The keyword extracting means 15 corrects the term of the check content designated by the user 1 so as to unify different terms indicating the same content, and then extracts the keyword from the check content.

Data classification / association / selection / scoring means 1
In No. 7, the collected data (plan data group) is classified and related using the keyword, and then the collected data (plan after the classifying / association is performed according to the check contents after correction by the keyword extracting means 15 and the degree of commitment. Data group) is selected / scored, and data (aggregated data) indicating ranking etc. is generated based on the selection / scoring.

The total data storage area 12 is an area for storing total data.

The total data notifying means 13 notifies the user 1 and the data provider 2 of the total data.

The optimum plan selection support system according to this embodiment is different from the first embodiment in that the check contents and the method of setting the particular frequency are modified.

In the first embodiment, a check item and a desired content option are set based on a keyword preset by the keyword setting means 5, and a user designation capable of displaying such a check item and a desired content option. By providing the user 1 with the data setting screen and then allowing the user 1 to specify (select) the check content and the commitment frequency, the setting and input of the check content and the commitment frequency are realized.

However, in such a method of setting the check contents and the degree of commitment, it is assumed that the check items desired by the user 1 and the desired content choices are not included in the display contents on the user designated data setting screen.

Therefore, in the present embodiment (fourth embodiment), the user 1 freely inputs (designates) check items and desired contents on the user designated data setting screen via the homepage or the like. Accepting, extracting keywords from the specified contents, classifying and associating the collected data by the keywords, and then selecting and scoring data based on the check contents and the appropriate frequency specified by the user 1 and appropriately corrected. I'm trying to do.

FIG. 12 is a flow chart showing the process of the optimum plan selection support system according to this embodiment. This process includes a plan data collection step C1, a check content and commitment frequency free input step C2, a check content correction step C3, and a keyword extraction step C4.
A plan data classification / association step C5, a collected data selection / scoring step C6, a total data generation step C7, and a total data notification step C8.
Note that step C1, step C7, and step C
8 is a processing step similar to step A2, step A7, and step A8 in FIG.

Next, with reference to FIGS. 11 and 12, the overall operation of the optimum plan selection support system according to the present embodiment configured as described above will be described. Here, the difference from the operation in the first embodiment will be mainly described.

As in the case of the first embodiment,
The data collection unit 4 collects plan data (data about the store in the present embodiment) from the database 3 of the data provider 2 (step C1).

The user 1 freely specifies a check item, specifies the desired content for the check item, and further specifies the check content (the desired content for the check item) via the homepage or the like. Specify the information that indicates whether or not to emphasize only (the degree of commitment).

The user-specified data free input means 16 is
As described above, the check contents and the degree of commitment designated by the user 1 are input, and the user designated data is stored in the user designated data storage area 10 (step C2).

Here, since the check contents are freely input, the check contents may not be used correctly as they are.

Therefore, the keyword extracting means 15 corrects the term of the check content (check item and desired content) in the user designated data storage area 10 (step C3). Then, the keyword extracting means 15 extracts keywords from the corrected check items and desired contents (step C4), and saves the corrected check contents and the relevant keywords in the user-specified data storage area 10 again.

For example, different desired contents such as “Chinese food”, “Chinese food”, and “Chinese food” related to the check item “Cooking” are input so that the desired contents are unified. Correct the desired content (for example, correct so that it is unified with “Chinese”).

As a result, even when different terms indicating the same content are input as the check content, the check content is designated by the unified term. And its unified term (eg, “Chinese” above)
Is extracted as a keyword. As a result, the collected data (plan data group) can be properly classified and associated with the keyword, and proper selection and scoring can be performed with the corrected check contents.

That is, data classification / association / selection /
The scoring unit 17 classifies and associates the collected data using the check items input / corrected as described above and the keywords extracted based on the desired content (step C5). Then, as in the case of the first embodiment, each plan data in the collected data (collected data after classification / association) is selected / scored (step C6), and the ranking result is further obtained. Etc. are generated and stored in the total data storage area 12 (step C7).

The total data notifying means 13 notifies the total data to the user 1 and also to the data provider 2 (step C8).

(5) Fifth Embodiment

FIG. 13 is a block diagram showing the configuration of the optimum plan selection support system according to the fifth embodiment of the present invention.

Referring to FIG. 13, the optimum plan selection support system according to the present embodiment has a keyword setting means 5
A keyword storage area 6, a collection data storage area 8, a user-specified data input means 9, a user-specified data storage area 10, a total data storage area 12, a total data notification means 13, and a data selection collection / scoring Means 1
And 8 are included.

The keyword setting means 5 sets the keywords used when determining the check items and desired content options that can be displayed on the user-specified data setting screen.

The keyword storage area 6 is an area for storing the keyword group.

The user-specified data input means 9 is used by the user 1
The user-specified data setting screen is provided to the user through the homepage, etc., and the check contents (check items and desired contents regarding the check items) specified by the user 1 and the degree of commitment (how much importance is placed on the desired contents in the check items). Information indicating the degree).

The user designated data storage area 10 is an area for storing the check contents and the degree of commitment designated by the user 1.

The data selection / collection / scoring means 18 accesses the database 3 of one or more data providers 2 at the time of receiving a request from the user 1, selects and collects the plan data group, and the check contents And collected data based on the particular frequency (plan data group that has been selected and collected)
Is performed, and data indicating the ranking and the like (aggregated data) is generated based on the score.

The collected data storage area 8 is an area for storing the collected data (plan data group selected and collected).

The total data storage area 12 is an area for storing total data (including the scoring result in step D6 in FIG. 14 used to generate total data).

The total data notifying means 13 notifies the user 1 and the data provider 2 of the total data.

In the optimum plan selection support system according to this embodiment, the method for reading (collecting) target data (plan data to be selected) is modified as compared with the first embodiment.

In the first embodiment, the target data is read out in advance and classified / associated by the keyword, and then selected / scored according to the check contents and the particular frequency specified by the user 1.

However, in the case of such a target data reading method, there is a possibility that the data included in the latest data group that matches the wish of the user 1 may be dropped depending on the timing of data reading.

Since data that does not satisfy the check condition specified by the user 1 must be stored (collected) in advance, unnecessary data may be stored and the collected data storage area 8 It is necessary to considerably increase the capacity of.

Therefore, in the present embodiment (fifth embodiment), when the user 1 issues a request for the ranking result by designating the check contents and the particular frequency through the homepage or the like, each database is searched. 3 is accessed to extract data satisfying the conditions of the check contents, and then the target data is collected. Then, the plan data group sorted and collected in this manner is used as a target for scoring according to the check content and the particular frequency.

FIG. 14 is a flow chart showing the processing of the optimum plan selection support system according to this embodiment. This processing is performed by a keyword setting step D1, a user-specified data setting screen providing step D2, a check content and sticking frequency input step D3, a plan data selection and collection step D4, a collection plan data scoring step D5,
Scoring result storage step D6, all database access end determination step D7, total data generation step D8
And a total data notifying step D9. Note that step D1, step D2, step D8, and step D9 are processing steps similar to step A1, step A4, step A7, and step A8 in FIG.

Next, with reference to FIGS. 13 and 14, the overall operation of the optimum plan selection support system according to the present embodiment configured as described above will be described. Here, the difference from the operation in the first embodiment will be mainly described.

As in the case of the first embodiment,
The keyword setting means 5 sets a keyword group and stores the keyword group in the keyword storage area 6 (step D1).

The user-specified data input means 9 is used by the user 1
A user-specified data setting screen is provided to the user (step D2), and the check content (check item and desired content regarding the check item) specified by the user 1 and the degree of commitment (how much the desired content in the check item is emphasized) Information indicating the degree of whether to do) is input (step D3).

The data selection / collection means 18 individually accesses the database 3 of each data provider 2 at the time of receiving the designation (request) from the user 1 in step D3, and selects the plan data. The desired contents of the check items are selected and collected (step D4). And
The plan data selected and collected in step D4 is scored based on the check contents and the degree of commitment (step D5), and the result of the score is stored in the total data storage area 12
(Step D6). It should be noted that in this saving process, for example, only the upper rank of the scoring result may be saved.

Further, data selection / collection / scoring means 18
When access to all databases 3 is completed (see step D7), collects the scoring results stored and accumulated in step D6 to generate aggregate data (data indicating ranking etc.) and aggregate the aggregate data. The data is stored in the data storage area 12 (step D8).

The total data notifying means 13 notifies the total data to the user 1 and the data provider 2 (step D9).

By collecting the plan data group by such a data collecting (reading) method (generating aggregate data indicating ranking etc. based on such collected data), the data desired by the user 1 is omitted. Will be able to prevent. Moreover, since only the necessary data is accumulated in the collected data storage area 8, the capacity of the collected data storage area 8 can be reduced.

(6) Sixth Embodiment

The optimum plan selection support system according to the sixth embodiment of the present invention is a modification of the data collection method with respect to the optimum plan selection support system according to the first embodiment. .

In the above-described first embodiment, target data (plan data to be selected) is collected by accessing each database 3 through an individual interface.

However, in the case of this data collection method,
Considering that each database 3 has a different data format, it is necessary to read the target data after preparing an interface according to it. This data collection method requires a great deal of work in constructing and expanding the system.

Therefore, in the present embodiment (sixth embodiment), the data format is created in advance by assuming the check contents (check items, items characterizing the target data, etc.) that the user 1 may specify. Then, the data collection is realized by having each data provider 2 provide the plan data conforming to the data format (common data format).

FIG. 15 is a diagram for explaining the operation of the optimum plan selecting system according to this embodiment.
It is a figure which shows the specific example of the data format provided (distributed) to each data provider 2.

Data collection means 4 in the present embodiment
Notifies the data provider 2 of such a data format, and has the target data (plan data) provided according to the data format.

By adopting such a data collection method, the number of steps for creating an interface corresponding to each database 3 can be reduced. Further, since it is possible to obtain data equivalent to that obtained by classifying and associating the target data with the keyword, the process in the data classifying / associating means 7 (plan data classifying / associating process).
Can be simplified.

(7) Merging the ideas of the above embodiments

The above second to sixth embodiments correspond to modifications (expansion / improvement) of the first embodiment, respectively.

Here, it is also possible to think of "a modified form of the first embodiment" having the features of the respective embodiments.

For example, the features of the second embodiment (a modification of the first embodiment) (classifying and associating a plan data group using a matrix) are the third to sixth embodiments. It is also valid for the form of. That is,
Also in the optimum plan selection support systems according to the third to sixth embodiments, it is possible to classify and associate plan data groups using a matrix.

(8) Seventh Embodiment

Next, an optimum plan selection support method according to the seventh embodiment of the present invention will be described.

The optimal plan selection support method according to the present embodiment extracts a keyword (plan data classification / plan data
These are the terms used when associating, and the first step of setting a group of terms that is the basis of the check items and desired content options that the user specifies and access the database of each data provider. Based on the second step of collecting the plan data group and the keyword group set in the first step, classification / association of each plan data collected in the second step (classification based on the keyword, Providing the user with a third step of performing (associating with the plan data) and a user-specified data setting screen on which check items and desired content options based on the keywords set in the first step can be displayed (homepage, etc.). (Provided using) 4th step and the user specified data setting screen The fifth step of inputting the check contents (check items and desired contents about the check items) and the degree of commitment (information indicating the degree of importance of the desired contents regarding the check items); Each plan data in the collected data (plan data group) collected in the step of 3 and classified and related in the third step is selected and scored according to the check content and the degree of commitment input in the fifth step. The sixth step, the seventh step of generating aggregated data indicating the result (ranking) ranked by the evaluation (scoring) in the sixth step, and the aggregated data generated in the seventh step And an eighth step of notifying the data provider.

Here, the above-mentioned FIG. 3 (flow chart showing the processing in the first embodiment) also corresponds to the flow chart showing the processing procedure of the optimum plan selection supporting method according to the seventh embodiment of the present invention. To do.

In this case, the above first step to eighth step
This step corresponds to step A1 to step A8 in FIG.

The operation of the optimum plan selection support method according to this embodiment is the same as the operation (processing) shown in FIG. 3 described in the description of the optimum plan selection support system according to the first embodiment. Will be similar to.

(9) Eighth Embodiment

FIG. 16 is a block diagram showing the configuration of the optimum plan selection support system according to the eighth embodiment of the present invention.

Referring to FIG. 16, the optimum plan selection support system according to the eighth embodiment of the present invention is more suitable than the optimum plan selection support system according to the first embodiment shown in FIG. The difference is that a plan selection support program 160 is provided.

The optimum plan selection support program 160 is
The operation of the information processing system is read by the information processing system connected to the user 1 and the data provider 2 having the database 3, and the operation of the information processing system 4, the keyword setting means 5, the keyword storage area 6, the data classification / association Means 7, collected data storage area 8, user-specified data input means 9, user-specified data storage area 10, data selection / scoring means 11, total data storage area 12,
And the total data notifying means 13 for controlling. The operation of the information processing system under the control of the optimum plan selection support program 160 is as follows: the data collecting means 4, the keyword setting means 5, the keyword storing area 6, the data classifying / associating means 7, the collected data storing area in the first embodiment. 8, user-specified data input means 9, user-specified data storage area 10, data selection / scoring means 11, total data storage area 12, and total data notification means 13
Since it is exactly the same as the operation of, the detailed explanation is omitted.

(10) Ninth Embodiment

FIG. 17 is a block diagram showing the configuration of the optimum plan selection support system according to the ninth embodiment of the present invention.

Referring to FIG. 17, the optimum plan selection support system according to the ninth embodiment of the present invention is more suitable than the optimum plan selection support system according to the third embodiment shown in FIG. The difference is that a plan selection support program 170 is provided.

The optimum plan selection support program 170 is
The operation of the information processing system is read by the information processing system connected to the user 1 and the data provider 2 having the database 3, and the operation of the information processing system 4, the keyword setting means 5, the keyword storage area 6, the data classification / association Means 7, collected data storage area 8, user-specified data input means 9, user-specified data storage area 10, data selection / scoring means 11, total data storage area 12,
The total data notification means 13 and the check contents / adherence frequency resetting means 14 are controlled. The operation of the information processing system under the control of the optimum plan selection support program 170 is as follows: the data collection means 4, the keyword setting means 5, the keyword storage area 6, and the third embodiment.
Data classification / association means 7, collected data storage area 8, user-specified data input means 9, user-specified data storage area 10, data selection / scoring means 11, total data storage area 12, total data notification means 13, and check contents Since the operation is exactly the same as the operation of the sticking frequency resetting means 14, its detailed description will be omitted.

(11) Tenth Embodiment

FIG. 18 is a block diagram showing the configuration of the optimum plan selection support system according to the tenth embodiment of the present invention.

Referring to FIG. 18, the optimum plan selection support system according to the tenth embodiment of the present invention is shown in FIG.
The optimum plan selection support program 180 for the optimum plan selection support system according to the fourth embodiment shown in FIG.
Is different in that it is equipped with.

The optimum plan selection support program 180 is
The operation of the information processing system is read by the information processing system connected to the user 1 and the data provider 2 having the database 3, and the operation of the information processing system 4, the collected data storage area 8, the user-specified data storage area 10, and the totalization are performed. Data storage area 12, total data notification means 13, keyword extraction means 15, user-specified data free input means 16, and data classification / association / selection / scoring means 1
Control as 7. Optimal plan selection support program 18
The operation of the information processing system under the control of 0 is the data collecting means 4, the collected data storage area 8, the user-specified data storage area 10, the total data storage area 12, the total data notifying means 13, and the keyword in the fourth embodiment. Extraction means 15, user-specified data free input means 1
6, and data classification / association / selection / scoring means 17
Since it is exactly the same as the operation of, the detailed explanation is omitted.

(12) Eleventh Embodiment

FIG. 19 is a block diagram showing the structure of the optimum plan selection support system according to the eleventh embodiment of the present invention.

Referring to FIG. 19, the optimum plan selection support system according to the eleventh embodiment of the present invention is shown in FIG.
The optimum plan selection support program 190 for the optimum plan selection support system according to the fifth embodiment shown in FIG.
Is different in that it is equipped with.

The optimum plan selection support program 190 is
The operation of the information processing system is read by the information processing system connected to the user 1 and the data provider 2 having the database 3, and the operation of the information processing system is performed by the keyword setting means 5, the keyword storage area 6, the collected data storage area 8, and the user specified data Input means 9, user-specified data storage area 1
0, total data storage area 12, total data notification means 1
3, and data selection and collection / scoring means 18 are controlled. The operation of the information processing system under the control of the optimal plan selection support program 190 is the keyword setting means 5, the keyword storage area 6, and the keyword storage area 6 in the fifth embodiment.
The operations of the collected data storage area 8, the user-specified data input means 9, the user-specified data storage area 10, the aggregated data storage area 12, the aggregated data notification means 13, and the data selection / collection / scoring means 18 are exactly the same. Omit detailed explanation.

[0196]

As described above, according to the present invention,
The following effects are produced.

The first effect is the effect that occurs on the user, and the tours / tours planned by each travel agency are provided.
This is because the user can simplify the work of accessing and collecting similar data (plan data) such as a pack trip, and the work of comparing and examining the collected data by the user.

The reason why such an effect exists is that by using the optimum plan selection support system of the present invention,
This is because the following features a to c occur.

A. Since the data (plan data) is collected in advance from the database that holds the plan data to be selected, “The user accesses all the homepages of the travel agencies and conducts searches and other work each time. , Collecting data that satisfies your wishes "can be omitted.

B. Since you can set multiple check contents (check items and desired contents) and their degree of importance (discerning frequency), "After the data has been narrowed down to some extent by searching etc., you can obtain detailed information of the tour and request more detailed hope. It is possible to save the trouble of comparing and examining each tour data such as "reading out the information necessary for examining how much the content is satisfied one by one from each of them to determine the tour to actually participate".

C. Each tour data is quantified and evaluated according to the check content and the degree of commitment set by the user, and the evaluation result is displayed (notified) as a ranking, so that the user can judge at a glance how much they satisfy their wishes. You can

The second effect is an effect produced for a data provider (which is also a service provider) such as a travel agency, and the amount of information for planning a plan (tour plan etc.) which is popular with users. Is that it can be increased.

The reason why such an effect occurs is that, in the optimum plan selection support system of the present invention, the data provider is also notified of the aggregated data indicating the ranking results and so on. This is because it can be used for planning.

That is, a data provider such as a travel agency can easily provide information such as how much the planned plan (tour plan, etc.) is evaluated by what kind of check items, and as a result, which position is in the ranking. Therefore, it becomes possible to compare service contents with competitors and grasp the user's particular points. In particular, for other companies that do not use the optimum plan selection support system of the present invention, information for planning popular tours and the like can be obtained even earlier.

The above-mentioned effects are not only the optimum plan selection support system for the tour plan but also the optimum plan selection support system for any plan.

[Brief description of drawings]

FIG. 1 is a block diagram showing a configuration of an optimum plan selection support system according to a first exemplary embodiment of the present invention.

FIG. 2 is a block diagram showing an application mode of the optimum plan selection support system shown in FIG.

FIG. 3 is a flow chart showing a process of the optimum plan selection support system shown in FIG. 1, and is also a flow chart showing a processing procedure of an optimum plan selection support method according to a seventh embodiment of the present invention.

4 is a diagram showing a specific example of a user-specified data setting screen adopted in the optimum plan selection support system shown in FIG.

5 is a diagram showing a specific example of a total data notification screen adopted in the optimum plan selection support system shown in FIG.

FIG. 6 is a diagram showing a specific example of a summary data notification screen adopted by the optimum plan selection support system shown in FIG.

FIG. 7 is a diagram for explaining the operation of the optimum plan selection system according to the second exemplary embodiment of the present invention, and is a diagram showing a specific example of a matrix used for classification / association.

FIG. 8 is a block diagram showing a configuration of an optimum plan selection support system according to a third exemplary embodiment of the present invention.

FIG. 9 is a flowchart showing a process of the optimum plan selection support system shown in FIG.

10 is a diagram showing a specific example of a user-specified data setting screen adopted in the optimum plan selection support system shown in FIG.

FIG. 11 is a block diagram showing a configuration of an optimum plan selection support system according to a fourth exemplary embodiment of the present invention.

FIG. 12 is a flowchart showing a process of the optimum plan selection support system shown in FIG.

FIG. 13 is a block diagram showing a configuration of an optimum plan selection support system according to a fifth exemplary embodiment of the present invention.

FIG. 14 is a flowchart showing a process of the optimum plan selection support system shown in FIG.

FIG. 15 is a diagram for explaining the operation of the optimum plan selection system according to the sixth embodiment of the present invention, and is a diagram showing a specific example of the data format notified (distributed) to each data provider. is there.

FIG. 16 is a block diagram showing the configuration of an optimum plan selection support system according to an eighth embodiment of the present invention.

FIG. 17 is a block diagram showing a configuration of an optimum plan selection support system according to a ninth embodiment of the present invention.

FIG. 18 is a block diagram showing a configuration of an optimum plan selection support system according to a tenth embodiment of the present invention.

FIG. 19 is a block diagram showing a configuration of an optimal plan selection support system according to an eleventh exemplary embodiment of the present invention.

[Explanation of Codes] 1 User 2 Data provider 3 Database 4 Data collection means 5 Keyword setting means 6 Keyword storage area 7 Data classification / association means 8 Collected data storage area 9 User designated data input means 10 User designated data storage area 11 Data Sorting / Scoring Means 12 Aggregated Data Storage Area 13 Aggregated Data Notification Means 14 Checked Content / Feeling Frequency Resetting Means 15 Keyword Extracting Means 16 User-Specified Data Free Input Means 17 Data Classification / Association / Sorting / Scoring Means 18 Data Selection / Collection / Scoring Means 160, 170, 180, 190 Optimal plan selection support program A1 Keyword setting step A2 Plan data collection step A3 Plan data classification / association step A4 User specified data setting screen provision step A5 Within check Inputting the content and discipline frequency A6 Collected data selection / scoring step A7 Aggregated data generation step A8 Aggregated data notification step B1 Keyword setting step B2 Plan data collection step B3 Plan data classification / association step B4 Combination condition specification user-specified data setting screen provided Step B5 Check content, commitment frequency, and join condition input step B6 Check content and commitment frequency reset step B7 Collected data selection / scoring step B8 Aggregate data generation step B9 Aggregate data notification step C1 Plan data collection step C2 Check content and commitment frequency Free input step C3 Check content correction step C4 Keyword extraction step C5 Plan data classification / association step C6 Collected data selection / scoring step C7 Aggregate data generation step C8 Aggregate data notification step D1 Keyword setting step D2 User specified data setting screen provision step D3 Check details and commitment frequency input step D4 Plan data selection and collection step D5 Collection plan data scoring step D6 Scoring result storage step D7 All Database access end determination step D8 Total data generation step D9 Total data notification step

Claims (12)

[Claims] 1. In an information processing system for exchanging data with a user and one or more data providers, a data collection means for accessing a database of a data provider group to collect a plan data group, and a classification / classification of the plan data group. A keyword setting unit for setting a keyword used when associating and determining a check item and a desired content option that can be displayed on the user-specified data setting screen, and a keyword set by the keyword setting unit are used. A user who provides a user-specified data setting screen for classifying and associating the plan data groups collected by the data collecting means with the user and a user-specified data setting screen, and inputs the check content and the degree of commitment specified by the user. Designated data input means and the user designated data inputting means Based on the check content and the degree of commitment input by the column, the data classification / correlation means sorts / collectes the collected data that has been classified / associated, and the data selection that generates aggregated data based on the sorting / scoring. An optimum plan selection support system having a scoring unit and a total data notifying unit for notifying the user and the data provider of the total data generated by the data selection / scoring unit. 2. In an information processing system for exchanging data with a user and one or more data providers, data collection means for accessing a database of data provider groups and collecting plan data groups, and classifying / classifying the plan data groups. A keyword setting unit for setting a keyword used when associating and determining a check item and a desired content option that can be displayed on the user-specified data setting screen, and a keyword set by the keyword setting unit are used. A data classification / association means for classifying / associating the plan data group collected by the data collection means, and a user-specified data setting screen capable of designating a join condition between check contents to a user,
The user specified data input means for inputting the check content and the degree of commitment specified by the user and the connection condition between the check contents, and the user specified data input means for the connection condition input by the user specified data input means. Based on the check contents and the sticking frequency after resetting by the check contents and sticking frequency resetting means for resetting the check contents, the checking contents and sticking frequency resetting means
Data sorting / scoring means for sorting / scoring the collected data classified / associated by the associating means, and generating aggregated data based on the sorting / scoring, and aggregate data generated by the data sorting / scoring means And a total data notifying means for notifying the user and the data provider of the optimum plan selection support system. 3. In an information processing system for exchanging data with a user and one or more data providers, a data collection means for accessing a database of data provider groups and collecting plan data groups, and free input to the user are possible. A user-specified data setting screen, and the user-specified data free input means for inputting the check contents and commitment frequency freely specified by the user on the user-specified data setting screen, and the check contents specified by the user. After correcting the terms, the keyword extracting unit extracts a keyword from the check content input by the user-specified data free input unit, and the data collecting unit collects the keyword extracted by the keyword extracting unit. Of plan data group
After associating with each other, the data is classified based on the check contents after correction by the keyword extracting means and the plan data group after association / selection and scoring according to the frequency of attention, and aggregate data is generated based on the selection / scoring. -Optimum plan selection support characterized by having an associating / selecting / scoring means and an aggregated data notifying means for notifying a user and a data provider of aggregated data generated by the data classification / associating / selecting / scoring means system. 4. In an information processing system for exchanging data with a user and one or more data providers, a keyword used for determining check items and desired content choices that can be displayed on a user-specified data setting screen is set. A keyword setting means, a user-specified data input screen for providing the user with a user-specified data setting screen, and inputting the check contents and the degree of commitment specified by the user, and a data providing source group at the time of receiving a request from the user. The plan data group is selected and collected by accessing the database of, and the plan data group selected and collected above is scored based on the check contents and the degree of commitment input by the user-specified data input means. Data selection and collection / scoring means for generating aggregated data based on the data An optimal plan selection support system comprising: aggregated data notification means for notifying a user and a data provider of aggregated data generated by the selection / collection / scoring means. 5. A matrix is used in classifying / associating plan data groups.
The optimal plan selection support system according to claim 2, claim 3, or claim 4. 6. The method according to claim 1, wherein the common data format is notified to each data provider, and the plan data conforming to the data format is collected from the database of each data provider. The optimal plan selection support system according to claim 3, claim 4, or claim 5. 7. The plan data is tour data, and the data provider is a travel agency, claim 1, claim 2, claim 3, claim 4, claim 5, or claim. Optimal plan selection support system described in 6. 8. A first step of setting a keyword group by extracting from various kinds of information related to a plan to be selected, and a second step of accessing a database of each data provider to collect a plan data group. When,
Based on the keyword set in the first step, a third step of classifying and associating the plan data collected in the second step, and the keyword set in the first step The fourth step of providing the user with a user-specified data setting screen in which check items and desired contents options can be displayed, and the fifth step of inputting the check contents and the degree of commitment specified by the user to the user-specified data setting screen Steps and each plan data in the collected data collected in the second step and classified and associated in the third step are selected according to the check content and the particular frequency input in the fifth step. And a sixth step of scoring, and a seventh step of generating aggregated data based on the scoring in the sixth step. Step a, optimal plan selection support method characterized by having a eighth step of notifying the aggregated data generated by the seventh step to the user and data provider. 9. An information processing system for exchanging data with a user and one or more data providers, a data collection means for accessing a database of a data provider group to collect a plan data group, and a classification / association of the plan data group. And a keyword setting means for setting a keyword to be used for determining check items and desired content choices that can be displayed on the user-specified data setting screen, using the keyword set by the keyword setting means. Data classification / association means for classifying / associating the plan data group collected by the data collection means,
A user-specified data input screen for providing a user with a user-specified data setting screen for inputting the check content and the degree of commitment specified by the user, and the data based on the check content and the degree of commitment input by the user-specified data input means The collected data that has been classified and related by the classification and association means is selected and scored,
A program for causing data selection / scoring means for generating aggregated data based on the selection / scoring, and a function for notifying aggregated data generated by the data selection / scoring means to a user and a data provider . 10. An information processing system for exchanging data with a user and one or more data providers, data collection means for accessing a database of data provider groups to collect plan data groups, and classification / association of plan data groups. And a keyword setting means for setting a keyword to be used for determining check items and desired content choices that can be displayed on the user-specified data setting screen, using the keyword set by the keyword setting means. A data classification / association means for classifying and associating the plan data group collected by the data collection means, a user-specified data setting screen capable of designating a join condition between check contents to the user are provided, and designated by the user. Check content and commitment frequency and combination of check content User-specified data input means for inputting conditions, check content / adherence frequency resetting means for resetting the check content input by the user-specified data input means according to the joining condition input by the user-specified data input means, the check Based on the check contents after the resetting by the contents and sticking frequency resetting means and the sticking frequency, the collected data classified and related by the data classification and associating means is selected and scored, and based on the sorting and marking Data sorting / scoring means for generating aggregated data, and the data sorting / scoring
A program for functioning as aggregate data notifying means for notifying a user and a data provider of aggregate data generated by the scoring means. 11. An information processing system for exchanging data with a user and one or more data providers, a data collection means for accessing a database of a group of data providers to collect a plan data group, and free input to the user. Provide a user-specified data setting screen, and enter the check contents freely specified by the user on the user-specified data setting screen and the user-specified data free input means for inputting the degree of commitment, and the term of the check contents specified by the user. After being corrected, a keyword extraction unit for extracting a keyword from the check content input by the user-specified data free input unit, and a plan collected by the data collection unit using the keyword extracted by the keyword extraction unit After classifying and associating the data groups, -Data classification / association / selection / scoring means for selecting / scoring the plan data group after classification / association according to the check contents after correction by the word extraction means and the degree of commitment, and generating aggregated data based on the screening / scoring, And a program for causing the aggregated data generated by the data classification / association / selection / scoring means to function as aggregated data notifying means for notifying the user and the data provider. 12. An information processing system for exchanging data with a user and one or more data providers, wherein a check item which can be displayed on a user-specified data setting screen and a keyword used when deciding a desired content option are set. A keyword setting means, a user-specified data setting screen for providing the user with a user-specified data setting screen, and inputting the check contents and the attention frequency specified by the user,
At the time of receiving a request from the user, the database of the data providing source group is accessed and the plan data group is selected and collected, and the above is selected based on the check content and the particular frequency input by the user designated data input means. The user and the data provider are notified of the data selection and collection / scoring means for scoring the collected plan data group and generating aggregated data based on the scoring, and the aggregation data generated by the data selection / collection / scoring means. A program that functions as a means for notifying aggregated data.