JP7203809B2 - Information processing device, information processing method and information processing program - Google Patents

Description

The present invention relates to an information processing device, an information processing method, and an information processing program.

Conventionally, for example, there has been proposed a technology for providing information indicating a route to a destination on a predetermined date and time and congestion status of the route in response to a user's operation on a terminal device (see, for example, Patent Document 1). .

JP 2015-026136 A

However, the conventional technology merely provides information (for example, information indicating the route and congestion status) regarding a predetermined action taken by the user, such as searching for the route described above. For this reason, in the prior art, for example, the reason why the user took a predetermined action, that is, the factors for the predetermined action are unknown. rice field.

The present application has been made in view of the above, and an object thereof is to provide an information processing device, an information processing method, and an information processing program capable of obtaining factor information indicating factors for a predetermined action taken by a user. do.

An information processing apparatus according to the present application includes an acquisition unit, a comparison unit, and an extraction unit. The obtaining unit obtains first behavior information indicating a behavior corresponding to a first user who has taken a predetermined behavior during a predetermined period, and a second user who is different from the first user and obtains the predetermined behavior during the predetermined period. second behavior information indicating the behavior corresponding to the second user who has not taken the behavior of . A comparison unit compares the first behavior information and the second behavior information acquired by the acquisition unit. The extraction unit extracts factor information indicating factors for the predetermined behavior based on the comparison result of the comparison unit. The extraction unit estimates a future behavior of the first user corresponding to the predetermined behavior based on the comparison result of the comparison unit, and uses future behavior information indicating the estimated future behavior as the factor information. Extract.

According to one aspect of the embodiments, it is possible to obtain factor information indicating factors for a predetermined action taken by a user.

FIG. 1 is an explanatory diagram showing an example of information processing according to the embodiment. FIG. 2 is a diagram illustrating a configuration example of an information processing system. FIG. 3 is a block diagram showing a configuration example of an information processing apparatus. FIG. 4 is a diagram illustrating an example of a first action information storage unit; FIG. 5 is a diagram illustrating an example of a second behavior information storage unit; FIG. 6 is a diagram illustrating an example of a factor information storage unit; FIG. 7 is a flow chart showing the flow of information processing in the information processing apparatus. FIG. 8 is a diagram illustrating an example of a factor information storage unit according to a modification; FIG. 9 is a flow chart showing the flow of information processing in the information processing apparatus according to the modification. FIG. 10 is a diagram illustrating an example of a hardware configuration of a computer that executes programs.

Embodiments for implementing an information processing apparatus, an information processing method, and an information processing program according to the present application (hereinafter referred to as "embodiments") will be described in detail below with reference to the drawings. The information processing apparatus, information processing method, and information processing program according to the present application are not limited to this embodiment.

(embodiment)
[1. information processing]
First, an example of information processing according to the embodiment will be described with reference to FIG. FIG. 1 is an explanatory diagram showing an example of information processing according to the embodiment. In the example of FIG. 1 , the information processing device 20 is a server or the like that can perform a process of extracting factor information indicating a factor for a predetermined action taken by a user.

Specifically, as shown in FIG. 1, the information processing system 1 includes terminal devices 10A and 10B, a service providing server 100, and an information processing device 20. FIG. The terminal devices 10A and 10B, the service providing server 100, and the information processing device 20 are communicably connected to each other by wire or wirelessly via a network N (see FIG. 2).

The terminal devices 10A and 10B are, for example, information processing devices such as smartphones, tablet terminals, PDAs (Personal Digital Assistants), notebook PCs (Personal Computers), and desktop PCs. In the example shown in FIG. 1, a terminal device 10A is a terminal device used by a first user U1, and a terminal device 10B is a terminal device used by a second user U2 different from the first user U1.

The number of terminal devices 10A and 10B may be plural or may be one. Further, when there are multiple terminal devices 10A, there are multiple first users U1 corresponding to each terminal device 10A, and when there are multiple terminal devices 10B, there are second users U2 corresponding to each terminal device 10B. is assumed to be multiple, but is not limited to this. In addition, hereinafter, when the terminal devices 10A and 10B are described without particular distinction, the term “terminal device 10” is used, and when the first and second users U1 and U2 are described without particular distinction, It may be described as "user U".

The service providing server 100 is, for example, a web server that provides various web services to the user U's terminal device 10 . Specifically, the service providing server 100 provides various services by distributing web pages to the terminal device 10 . For example, the service providing server 100 may be a search site, a travel site, a news site, a weather forecast site, an auction site, a shopping site, a route search site, a map providing site, a finance (stock price) site, a restaurant introduction site, SNS (Social Networking). Service), web blogs, schedule management, etc.

Here, the terminal device 10 accesses the service providing server 100 via the network N according to the operation by the user U, and uses the various services described above. At this time, the service providing server 100 can receive the behavior of the user U on the network N, provide various services, and store the behavior.

The behavior of the user U on the network N mentioned above means information transmitted from the terminal device 10 according to the operation of the user U when using services provided by various websites. For example, the actions of the user U include entering search queries (keywords used for searching) on search sites, making hotel reservations on travel sites, browsing news sites and weather forecast sites, using auction sites including listing and bidding, shopping sites , search for a route to a destination on a route search site, posting to SNS, web blogs, etc., inputting user U's schedule information, and the like. In addition, although the actions of the user U are specifically shown above, these are only examples and are not limited.

Here, in the example shown in FIG. 1, it is assumed that the first user U1 and the second user U2 have different behaviors. For example, the action taken by the first user U1 includes "taking a predetermined action in a predetermined period", while the action taken by the second user U2 includes "taking a predetermined action in a predetermined period". is not included, that is, the second user U2 has not taken a predetermined action for a predetermined period of time.

In other words, among the plurality of users U, the user U who has taken a predetermined action during the predetermined period is the "first user U1", and the user U who has not taken the predetermined action during the predetermined period is the "first user U1". 2 user U2". Here, as an example, the explanation will be continued assuming that "taking a predetermined action in a predetermined period" means "reserving a hotel X for August 10, 2018".

By the way, in the conventional technology, the reason why the user U (more precisely, the first user U1) has taken a predetermined action, that is, the factor for the predetermined action is unknown. was desired. Therefore, in the present embodiment, factor information indicating factors for the above-described predetermined action taken by the first user U1 is extracted.

More specifically, the service providing server 100 receives the behavior of the first user U1 including the predetermined behavior described above from the terminal device 10A (step S1). Specifically, the service providing server 100 receives a predetermined action and other actions different from the predetermined action from the terminal device 10A operated by the first user U1. At this time, the service providing server 100 can provide various services according to the behavior of the first user U1.

The service providing server 100 also receives the behavior of the second user U2 from the terminal device 10B (step S2). Here, since the behavior of the second user U2 does not include the predetermined behavior as described above, the service providing server 100 receives the predetermined behavior from the terminal device 10B operated by the second user U2. Different other actions will be accepted. At this time, the service providing server 100 can provide various services according to the behavior of the second user U2.

In the example shown in FIG. 1, the predetermined action is the hotel reservation as described above, and the other actions are the input of search queries, the browsing of news sites and weather forecast sites, the use of auction sites, and the like. However, it is not limited to these.

The service providing server 100 has a storage unit 101, and stores information indicating actions of the first and second users U1 and U2 in the storage unit 101 (step S3). Specifically, the service providing server 100 stores first action information indicating actions corresponding to the first user U1 who has taken predetermined actions in a predetermined period, and second action information indicating actions corresponding to the second user U2. is stored in the storage unit 101 .

The storage unit 101 described above is realized by, for example, a semiconductor memory device such as a RAM (Random Access Memory) or a flash memory, or a storage device such as a hard disk or an optical disk.

Subsequently, the information processing device 20 acquires the first action information and the second action information from the service providing server 100 (step S4). In FIG. 1, an example of the first action information acquired by the information processing device 20 is indicated by J1, and an example of the second action information is indicated by "J2".

For example, the first action information J1 and the second action information J2 include information of "user ID", "predetermined action details" and "other action details" and are associated with each other.

“User ID” is identification information for identifying the user U. FIG. For example, the first user U1 is identified as user IDs "U11", "U12" and "U13", and the second user U2 is identified as user IDs "U21", "U22" and "U23".

The “predetermined action content” is information indicating the content of the predetermined action. For example, the first action information J1 includes the above-described "reservation for hotel X on August 10, 2018" as the content of the predetermined action. On the other hand, the second behavior information J2 does not include information indicating the content of the predetermined behavior because it indicates behavior corresponding to the second user U2.

The “contents of other actions” is information indicating the content of other actions. For example, the first action information J1 includes, as contents of other actions corresponding to the first user U1 with the user ID "U11", "search for 'singer Y concert'", "view news site", and "use internet auction". and so on. In addition, the first action information J1 includes, as contents of other actions corresponding to the first user U1 with the user ID "U12", "search for 'singer Y concert'", "visit weather forecast site", and "use Internet auction". ” and so on. Further, in the first action information J1, as contents of other actions corresponding to the first user U1 with the user ID "U13", "search for 'singer Y concert'", "view news site", "view weather forecast site", ” and so on.

On the other hand, the second action information J2 includes "viewing news site", "use of net auction", etc. as contents of other actions corresponding to the second user U2 with the user ID "U21". In addition, the second action information J2 includes "visit weather forecast site", "use net auction", etc. as other action contents corresponding to second user U2 with user ID "U22". In addition, the second action information J2 includes "viewing news site", "viewing weather forecast site", etc. as contents of other actions corresponding to second user U2 with user ID "U23". Details of the first action information J1 will be described later with reference to FIG. 4, and details of the second action information J2 will be described later with reference to FIG.

Then, the information processing device 20 compares the first behavior information J1 and the second behavior information J2 (step S5). Specifically, the information processing device 20 compares behavior other than the predetermined behavior (that is, other behavior) in the first behavior information J1 with behavior other than the predetermined behavior (other behavior) in the second behavior information J2. .

Specifically, for example, the information processing device 20 compares the "contents of other actions" of the first action information J1 and the "contents of other actions" of the second action information J2 to find the difference. The difference between the first action information J1 and the second action information J2 may be, for example, the presence or absence of the action in the "contents of other actions", or the content of actions in the "contents of other actions". The number of times of appearance may be counted for each type of , and the difference in the number of times of appearance may be used.

Subsequently, the information processing device 20 extracts factor information indicating factors for the predetermined behavior based on the above-described comparison result (step S6). Specifically, the information processing device 20 extracts factor information indicating a factor for the predetermined action taken by the first user U1 based on the difference obtained by the comparison described above.

To explain in detail, for example, in the comparison result described above, while being included in the behavior (first behavior information J1) corresponding to the first user U1 who took the predetermined behavior, the second user U2 who did not take the predetermined behavior A behavior that is not or hardly included in the corresponding behavior (the second behavior information J2) can be said to be behavior (characteristic behavior) specific to the first user U1.

Therefore, in the information processing apparatus 20 according to the present embodiment, an action peculiar to the first user U1 who has taken a predetermined action as described above is extracted as factor information indicating a factor of the predetermined action. made it

For example, the information processing device 20 may determine that, of the other actions included in the first action information J1, the number of occurrences of actions (for example, actions more than a predetermined value) is relatively high compared to the other actions included in the second action information J2. ) can be a behavior peculiar to the first user U1.

In the example shown in FIG. 1, the number of appearances of "search for 'singer Y concert'" in the "contents of other actions" is 3 times in the first action information J1 and 0 times in the second action information. Therefore, the information processing apparatus 20 determines that the behavior of "search for 'singer Y concert'" in the first behavior information J1 has a relatively large number of appearances compared to the second behavior information J2, and is a behavior specific to the first user U1. It can be determined that there is

On the other hand, in the example shown in FIG. 1, among the "contents of other actions", the number of occurrences of "viewing news", "use of auctions", and "viewing weather forecast" is two times in the first action information J1, and Twice in behavioral information. Therefore, the behavior such as "viewing news" in the first behavior information J1 cannot be said to have a relatively large number of appearances compared to the second behavior information J2. It can be determined that such actions are not actions specific to the first user U1.

Therefore, in the information processing device 20, the action peculiar to the first user U1 who took the predetermined action is determined to be "search for 'singer Y concert'", and the peculiar action indicates the factor of the predetermined action. Extract as factor information.

Specifically, in the information processing device 20, the first user U1 who has taken the action of making a reservation for Hotel X on August 10, 2018 as a predetermined action searches for "concert of singer Y". Assuming that there is a tendency, such "search for 'singer Y concert'" is extracted as factor information. Thereby, for example, in the information processing device 20, it is possible to estimate that the first user U1 made a reservation for the hotel X on August 10, 2018 in order to go to the singer Y's concert. Here, it is assumed that hotel X is located near singer Y's concert venue.

As described above, in the information processing apparatus 20 according to the present embodiment, the first behavior information J1 and the second behavior information J2 are compared, and based on the comparison result, the user U (more precisely, the first user U1) The factor information indicating the factor for the predetermined action taken by the person is extracted. Thus, it is possible to obtain factor information indicating factors for a predetermined action.

Further, the information processing device 20 extracts factor information indicating factors for a predetermined action taken by the first user U1 based on the difference obtained by comparing the first action information J1 and the second action information J2. In this way, by using the difference, it is possible to accurately obtain the information indicating the behavior specific to the first user U1, and thus it is possible to accurately extract the factor information indicating the factors for the predetermined behavior.

Further, the information processing device 20 may provide the service providing server 100 and the terminal device 10 with the extracted factor information and related information related to the factor, for example. For example, when the factor information is “search for “singer Y concert””, the information processing device 20 provides related information such as an advertisement for products related to singer Y to the terminal device 10A of the first user U1. may

In the above description, the information processing apparatus 20 extracts the input history of search queries such as "search for 'singer Y concert'" as the factor information, but the information processing apparatus 20 is not limited to this. That is, for example, in the information processing device 20, event information indicating an event corresponding to a predetermined action may be extracted as factor information.

For example, the information processing device 20 associates in advance event information indicating an event such as "singer Y concert" with an input of a search query such as "search for 'singer Y concert'". Then, when the action peculiar to the first user U1 is "search for 'singer Y concert'", the information processing device 20 extracts the associated event information 'singer Y concert' as the factor information. good. In other words, the information processing device 20 may extract, as the factor information, event information “singer Y concert” indicating an event corresponding to a predetermined action such as “make a reservation for hotel X on August 10, 2018”. . As a result, it is possible to obtain the factor information indicating the factor for the predetermined action taken by the first user U1 in the form of specific event information.

In the example shown in FIG. 1, the information processing apparatus 20 extracts the input history information of the search query as the factor information because the action peculiar to the first user U1 is "search for 'singer Y concert'". , but not limited to this.

That is, for example, the information processing device 20 determines that the behavior specific to the first user U1 is related to electronic commerce, such as a history of purchasing goods at a shopping site, a history of purchasing tickets for a concert or public transportation (for example, an airplane). In the case of historical information, such historical information may be extracted as factor information.

Specifically, for example, when the action peculiar to the first user U1 is "buying a ticket for a singer Y concert", the information processing device 20 extracts the history information indicating the purchase history of the ticket as the factor information. You may As a result, it is possible to obtain the factor information indicating the factor for the predetermined action taken by the first user U1 as the history information of the specific action.

[2. Information processing system 1]
FIG. 2 is a diagram showing a configuration example of the information processing system 1. As shown in FIG. As shown in FIG. 2, the information processing system 1 according to the present embodiment includes the terminal devices 10A and 10B, the service providing server 100, and the information processing device 20 as described above, and is communicable via the network N. Connected. The network N is, for example, a LAN (Local Area Network) or a WAN (Wide Area Network) such as the Internet.

Although FIG. 2 and FIG. 1 described above show only two terminal devices 10 for simplification of illustration, this is merely an example and is not limited.

Further, the service providing server 100 and the information processing device 20 do not need to be individual processing devices, and may be realized by cooperative operation of a plurality of processing devices such as a cloud system. In FIG. 2 and the like, the service providing server 100 and the information processing device 20 are separate servers. good too.

[3. Information processing device 20]
Next, the configuration of the information processing apparatus 20 described above will be specifically described.

FIG. 3 is a block diagram showing a configuration example of the information processing device 20. As shown in FIG. Note that FIG. 3 shows components necessary for explaining the information processing apparatus 20 and omits description of general components. As shown in FIG. 3 , the information processing device 20 includes a communication section 30 , a storage section 40 and a control section 50 .

[4.1. Communication unit 30]
The communication unit 30 is connected to the network N by wire or wirelessly, and transmits and receives information to and from the terminal device 10, the service providing server 100, and the like. For example, the communication unit 30 is realized by a NIC (Network Interface Card) or the like.

[4.2. Storage unit 40]
The storage unit 40 is realized by, for example, a semiconductor memory device such as a RAM or a flash memory, or a storage device such as a hard disk or an optical disk. The storage unit 40 according to this embodiment includes a first behavior information storage unit 41 , a second behavior information storage unit 42 and a factor information storage unit 43 .

[4.2.1. First action information storage unit 41]
The first behavior information storage unit 41 stores first behavior information indicating behavior corresponding to the first user U1 who has taken a predetermined behavior during a predetermined period. FIG. 4 is a diagram showing an example of the first behavior information storage unit 41. As shown in FIG.

As shown in FIG. 4, the first action information storage unit 41 includes information of "user ID", "predetermined period", "predetermined action", and "other action". are associated with each other.

"User ID" is identification information for identifying the first user U1. The "predetermined period" is, for example, information indicating a period during which the first user U1 performs a predetermined action. In the example shown in FIG. 4, for convenience of understanding, the "predetermined period" is illustrated using an abstract code such as "period Z1", but specific information is stored in "period Z1". shall be Hereinafter, abstract codes may also be illustrated in figures related to other information.

The "predetermined action" is information indicating the content of the predetermined action taken by the first user U1. "Other actions" are actions taken by the first user U1 and are information indicating other actions different from the predetermined action.

In FIG. 4, the user ID "U11" in the first action information storage unit 41 has a predetermined period of "period Z1", a predetermined action of "behavior A", and other actions of "behaviors B1, B2, B3 . . .・” shows an example. Further, the user ID "U12" in the first action information storage unit 41 has a predetermined period of "period Z1", a predetermined action of "behavior A", and other actions of "behavior B1, B3...". shows an example. Further, the user ID "U13" in the first action information storage unit 41 has a predetermined period of "period Z1", a predetermined action of "behavior A", and other actions of "behavior B1, B2...". shows an example. The "period Z1", "behavior A", and "behaviors B1, B2, B3" will be described later.

[4.2.2. Second action information storage unit 42]
Returning to the description of FIG. 3, the second behavior information storage unit 42 stores second behavior information indicating behavior corresponding to the second user U2 who has not taken a predetermined behavior for a predetermined period of time. FIG. 5 is a diagram showing an example of the second behavior information storage unit 42. As shown in FIG.

As shown in FIG. 5, the second action information storage unit 42 includes information of each of "user ID", "predetermined period", "predetermined action" and "other action". are associated with each other. For convenience of understanding, "predetermined period" and "predetermined behavior" are shown in the second behavior information storage unit 42, but the second user U2 does not perform the predetermined behavior during the predetermined period. , the information itself of the “predetermined period” and the “predetermined behavior” may be deleted from the second behavior information storage unit 42 .

"User ID" is identification information for identifying the second user U2. The “predetermined period” and the “predetermined action” are the same as those of the first action information storage unit 41, so description thereof will be omitted. “Other actions” is information indicating actions taken by the second user U2, and information corresponding to “other actions” in the first action information storage unit 41 .

FIG. 5 shows an example in which the user ID "U21" in the second behavior information storage unit 42 does not include information on the predetermined period and the predetermined behavior, and the other behaviors are "behaviors B2, B3...". ing. Also, the user ID "U22" in the second action information storage unit 42 does not include information on the predetermined period and the predetermined action, and shows an example in which the other actions are "behavior B3...". Also, the user ID "U23" in the second action information storage unit 42 does not include information on the predetermined period and the predetermined action, and shows an example in which the other actions are "behavior B2...".

Here, the information of "period Z1", "behavior A" and "behavior B1, B2, B3" shown in FIGS. 4 and 5 will be described in detail.

“Period Z1”, which is a predetermined period, includes information about time, and is information indicating a date such as “August 10, 2018” shown in FIG. 1, for example. Note that the "period Z1" is not limited to the date described above, and may be, for example, a year, month, day, time, era, era, season, or the like.

"Action A", which is a predetermined action, includes actions taken by the first user U1 on the network N, and is information indicating actions such as "reservation of hotel X" shown in FIG. 1, for example. In addition, "behavior B1", which is another action, also includes the action taken by the first user U1 on the network N, and is information indicating the action such as "search for 'singer Y concert'" shown in FIG. be.

"Actions B2 and B3", which are other actions, include actions on the network N taken by the first and second users U1 and U2. This is information indicating actions such as "use".

As can be seen from FIGS. 4 and 5, here, among the other actions "behaviors B1, B2, and B3," "behavior B1" is the first user U1 who has taken a predetermined action in a predetermined period. shall be behavior specific to

[4.2.3. Factor information storage unit 43]
Returning to the description of FIG. 3, the factor information storage unit 43 stores information about factors for predetermined actions. FIG. 6 is a diagram showing an example of the factor information storage unit 43. As shown in FIG.

As shown in FIG. 6, the factor information storage unit 43 includes information of "factor ID", "comparison result" and "event", and these information are associated with each other.

“Factor ID” is identification information assigned to each factor for a predetermined action. The "comparison result" is information indicating the comparison result when the first action information and the second action information are compared. For example, the "comparison result" includes difference information obtained by comparing the first behavior information and the second behavior information, in other words, includes information indicating behavior specific to the first user U1.

"Event" is information indicating an event. Specifically, the "event" is event information indicating an event associated with the behavior specific to the first user U1, which is included in the comparison result described above. The "event" may be set in advance, or may be set according to the content of the event extracted from the content of the specific behavior included in the comparison result.

In FIG. 6, the factor ID "C01" of the factor information storage unit 43 shows an example in which the comparison result is "behavior B1" and the event is "event D1".

Here, for example, if the comparison result 'behavior B1' is 'search for 'singer Y concert'' shown in FIG. It is not limited to this.

[4.3. control unit 50]
Returning to the description of FIG. 3, the control unit 50 is a controller, and includes, for example, a CPU (Central Processing Unit), a ROM (Read Only Memory), a RAM, a microcomputer having an input/output port, and various circuits. including. Also, the control unit 50 may be configured by hardware such as an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array). The control unit 50 includes an acquisition unit 51 , a comparison unit 52 , an extraction unit 53 and a provision unit 54 .

[4.3.1. Acquisition unit 51]
The acquisition unit 51 acquires various types of information from the service providing server 100 (see FIG. 1) via the communication unit 30 . For example, the acquisition unit 51 acquires behavior information indicating behavior corresponding to the user U, which is performed from the terminal device 10 (see FIG. 1) to the service providing server 100 .

Specifically, the acquisition unit 51 acquires the first action information indicating the action corresponding to the first user U1 who has taken a predetermined action during a predetermined period, and the first action information indicating the action corresponding to the first user U1 who has taken a predetermined action during a predetermined period. 2 Acquire the second action information indicating the action corresponding to the user U2. At this time, the acquiring unit 51 collects the behavior information of the user U who has taken a predetermined action from among the action information indicating the action corresponding to the user U, and acquires it as first action information. The behavior information of the user U who is not in the collection may be collected and acquired as the second behavior information.

Note that the acquisition unit 51 randomly selects a user U from among a plurality of users U who are not taking a predetermined action, and acquires action information indicating the action corresponding to the selected user U (ie, the second user U2). You may acquire as 2nd action information.

Further, when the behavior information corresponding to the first user U1 or the second user U2 includes history information indicating the behavior history, the acquisition unit 51 treats the history information as the first behavior information or the second behavior information. may be obtained. Specifically, the acquiring unit 51 acquires the history information indicating the history of behavior corresponding to the first user U1 as the first behavior information, and obtains the history information indicating the history of behavior corresponding to the second user U2 as the first behavior information. 2 You may acquire as action information.

The history information indicating the history of actions described above includes, for example, search query history information, shopping site purchase history information, concert and public transportation ticket purchase history information, etc. including, but not limited to, history information related to

Further, when the information on the behavior corresponding to the first user U1 or the second user U2 includes information posted via the network N (for example, information posted to an SNS or the like), the acquisition unit 51 The information may be obtained as first behavioral information or second behavioral information. Specifically, the acquiring unit 51 may acquire the posted information corresponding to the first user U1 as the first action information and acquire the posted information corresponding to the second user U2 as the second action information.

Note that the posted information includes, for example, information such as blogs, microblogs, web pages, messages, still images, moving images, and voices, but is not limited to these.

Then, the acquisition unit 51 stores the acquired first behavior information in the first behavior information storage unit 41 . Similarly, the acquisition unit 51 stores the acquired second behavior information in the second behavior information storage unit 42 .

[4.3.2. Comparison unit 52]
The comparison unit 52 compares the first action information and the second action information. For example, the comparison unit 52 reads the first action information stored in the first action information storage unit 41 and reads the second action information stored in the second action information storage unit 42 for comparison.

Specifically, the comparison unit 52 compares the "other behavior" information included in the first behavior information (see FIG. 4) and the "other behavior" information included in the second behavior information (see FIG. 5). to find the difference.

For example, the comparison unit 52 compares search query history information, electronic commerce history information, posted information posted via the network N, and the like, which are included in the first action information and the second action information.

Then, the comparison unit 52 determines, based on the above-described comparison, the behavior information that is included in the first behavior information but is not or hardly included in the second behavior information, in other words, the first user U1 Information on specific behavior is obtained as a difference. In the example shown in FIGS. 4 and 5, the comparison unit 52 obtains the information of "behavior B1" included in the first behavior information as a difference.

In this way, the comparison unit 52 compares search query history information, e-commerce history information, posted information, and the like, so that it is possible to accurately obtain behavior specific to the first user U1 as a difference.

Note that the comparison unit 52 does not need to compare all of the search query history information, electronic commerce history information, and posted information. good.

Then, the comparison unit 52 stores difference information obtained by the comparison, in other words, information indicating behavior specific to the first user U1, as a comparison result in the factor information storage unit 43 (see FIG. 6).

[4.3.3. extraction unit 53]
The extraction unit 53 extracts factor information indicating factors of the predetermined action taken by the first user U1 based on the comparison result of the comparison unit 52 . For example, the extraction unit 53 extracts factor information based on the difference obtained by comparing the first behavior information and the second behavior information.

Specifically, for example, the extraction unit 53 reads the comparison result stored in the factor information storage unit 43 . Since the comparison result includes behavior information specific to the first user U1, which is the difference between the first behavior information and the second behavior information, the extraction unit 53 extracts information specific to the first user U1. Behavior information is extracted as factor information. Note that the factor information extracted by the extraction unit 53 may be one or plural.

Here, an example of extracted factor information will be described. For example, as shown in FIG. 1, a predetermined period (period Z1 (see FIG. 4)) and a predetermined action (action A (see FIG. 4)) are "reservation for hotel X on August 10, 2018". If the difference in the comparison result (action B1 (see FIG. 4)) is "search for 'singer Y concert'", the extracting unit 53 extracts the history information of the search query such as 'search for 'singer Y concert''. is extracted as factor information.

Note that the extraction unit 53 may read the factor information storage unit 43 and extract event (event) information (here, “singer Y concert”) associated with the action B1, which is the comparison result, as factor information. Specifically, the extracting unit 53 may extract event information “singer Y concert” corresponding to a predetermined action such as “reservation for hotel X on August 10, 2018” as the factor information. This makes it possible to obtain factor information in the form of specific event information.

Next, for example, the predetermined period (period Z1) and the predetermined action (behavior A) are "Purchase of article F in June to July 2018", and the difference in the comparison result (behavior B1) is "Singer A case of “Y concert “search”” will be described. It should be noted that the goods F are goods related to singer Y's concert (for example, a T-shirt, a towel, etc.), but are not limited to this.

In such a case, the extraction unit 53 extracts history information of search queries such as “search for “singer Y concert”” and event information such as “singer Y concert” as factor information based on the comparison result. This makes it possible to presume that the first user U1 has taken the action of purchasing the article F in order to go to the singer Y's concert.

Next, for example, the predetermined period (period Z1) and the predetermined action (behavior A) are "search for a route to station G at 18:00 on August 10, 2018", and the difference in the comparison result (behavior B1 ) is "Purchase of tickets for singer Y's concert". Station G is assumed to be the closest station to the venue of singer Y's concert, but is not limited to this.

In such a case, the extracting unit 53 extracts history information related to electronic commerce such as "purchase of tickets for singer Y's concert" and event information such as "singer Y's concert" as factor information based on the comparison result. As a result, it can be estimated that the first user U1 has taken the action of searching for a route to the station G in order to go to the singer Y's concert.

Next, for example, the predetermined period (period Z1) and the predetermined action (behavior A) are "Enter a vacation on August 10, 2018 in the schedule information", and the difference in the comparison result (behavior B1) is "Singer A case of "posting of information on Y concert" will be described.

In such a case, the extraction unit 53 extracts posted information such as "information about singer Y's concert" and event information such as "singer Y's concert" as factor information based on the comparison result. As a result, it can be estimated that the first user U1 took the action of inputting a holiday in the schedule information in order to go to the singer Y's concert.

In this way, the extracting unit 53 according to the present embodiment extracts, as factor information, action information specific to the first user U1 who has taken a predetermined action, thereby obtaining factor information indicating factors for the predetermined action. In other words, it becomes possible to estimate the reason why the first user U1 has taken a predetermined action.

[4.3.4. providing unit 54]
The providing unit 54 provides the service providing server 100 and the terminal device 10 with the extracted factor information and related information about the factors.

For example, when the extracted factor information is “search for “singer Y concert”” or “singer Y concert”, the providing unit 54 provides related information such as singer Y concert and advertisement of products related to singer Y, It can be provided to the terminal device 10A of the first user U1.

Further, for example, when searching for a route to a destination using a route search site, if there is a route that is expected to be congested, the providing unit 54 sends the extracted factor information to the terminal device 10 as the cause of the congestion. may provide.

That is, for example, the providing unit 54 calculates the cumulative number of route searches for each station, which is an example of the destination, as the cumulative number of searches, and when the cumulative number of searches increases by a predetermined value or more compared to normal times , predicts that stations with increased cumulative search numbers will be congested places in the future.

Specifically, for example, the predetermined period (period Z1) and the predetermined action (behavior A) in the first action information are "Search for a route to station G at 18:00 on August 10, 2018," If the cumulative number of times such searches are performed increases by a predetermined value or more compared to normal times, it is predicted that station G will be congested in the future.

Further, for example, when the difference (action B1) in the comparison result in the comparison unit 52 at this time is “purchase of tickets for singer Y concert”, the extraction unit 53 extracts event information such as “singer Y concert” as a factor. It will be extracted as information.

Therefore, the providing unit 54 provides the extracted factor information (here, “singer Y concert”) to the terminal device 10 as a cause of the congestion in the place predicted to be crowded in the future (here, “station G”). may

As a result, for example, the user U of the terminal device 10 can grasp the cause of congestion in a place predicted to be congested in the future. be able to.

[5. Processing Flow of Information Processing Device 20]
Next, the procedure of information processing in the information processing device 20 will be described. FIG. 7 is a flowchart showing the flow of information processing in the information processing apparatus 20, and such processing is repeatedly executed.

As shown in FIG. 7, the control unit 50 of the information processing device 20 acquires first action information and second action information (step S10). Next, the control unit 50 compares the acquired first behavior information and second behavior information (step S11).

Next, the control unit 50 extracts factor information indicating factors for the predetermined action taken by the first user U1 based on the difference obtained by the comparison (step S12). Next, the control unit 50 provides the extracted factor information and related information related to the factor to the service providing server 100 and the terminal device 10 (step S13).

(Modification)
[6. Information processing apparatus 20 according to a modified example]
In the above-described embodiment, the extraction unit 53 extracts, as the factor information, the information of the specific behavior taken by the first user U1, in other words, the information of the past behavior of the first user U1. It is not limited. That is, in the extraction unit 53 according to the modified example, the future behavior information indicating the future behavior of the first user U1 is extracted as the factor information. As a result, it is possible to obtain the factor information indicating the factor for the predetermined action taken by the first user U1 as concrete future action information.

Specifically, the extraction unit 53 according to the modification estimates the future behavior of the first user U1 based on information stored in the factor information storage unit 43 . FIG. 8 is a diagram showing an example of the factor information storage unit 43 according to the modification. In addition, below, about the structure common to above-described embodiment, the same code|symbol may be attached|subjected and description may be abbreviate|omitted.

As shown in FIG. 8, the factor information storage unit 43 according to the modified example includes respective information of "factor ID", "comparison result" and "future action", and these information are associated with each other. . "Factor ID" and "comparison result" are the same as those in the embodiment, so descriptions thereof are omitted.

“Future behavior” is future behavior information indicating the future behavior of the first user U1. Specifically, "future behavior" is future behavior information indicating future behavior associated with the behavior specific to the first user U1, which is included in the comparison result described above. Note that the "future behavior" may be set in advance, or may be set according to the content of the future behavior extracted from the content of the specific behavior included in the comparison result.

In FIG. 6, the factor ID "C11" of the factor information storage unit 43 shows an example in which the comparison result is "action B1" and the future action is "future action E1".

Here, for example, if the comparison result is that "action B1" is "search for 'singer Y concert'" shown in FIG. It is information indicating actions that the first user U1 is expected to take in the future, such as "Search for a route to G". Station G is the closest station to the venue of singer Y's concert, as described above, but is not limited to this. Further, in the above description, "purchasing a ticket" and "searching for a route" are specifically shown as the "future action E1", but these are merely examples and are not limited.

Then, the extraction unit 53 (see FIG. 3) extracts future behavior information as factor information based on the information stored in the factor information storage unit 43 described above. Note that the number of pieces of future action information extracted as factor information by the extraction unit 53 may be one or plural. Further, the extraction unit 53 may extract future behavior information as factor information together with the event information described above.

Here, an example of extracted factor information will be described. For example, as shown in FIG. 1, a predetermined period (period Z1 (see FIG. 4)) and a predetermined action (action A (see FIG. 4)) are "reservation for hotel X on August 10, 2018". Yes, and if the comparison result (action B1 (see FIG. 4)) is "search for 'singer Y concert'", the extraction unit 53 extracts the future action associated with the comparison result 'search for 'singer Y concert''. The information (future action E1) "buying a ticket for singer Y's concert" is extracted as factor information.

In other words, the extraction unit 53 estimates “buying a ticket for a singer Y concert” as a future action corresponding to a predetermined action such as “make a reservation for a hotel X on August 10, 2018”, and Future behavior information indicating behavior is extracted as factor information. As a result, for example, it can be estimated that the first user U1 made a reservation for a hotel X on August 10, 2018 in order to purchase a concert ticket for a singer Y in the future.

As described above, in the extraction unit 53 according to the modification, the future behavior of the first user U1 corresponding to the predetermined behavior is estimated, and the future behavior information indicating the estimated future behavior is extracted as the factor information. By doing so, it is possible to obtain the factor information indicating the factor for the predetermined action taken by the first user U1 as concrete future action information.

[7. Processing Flow of Information Processing Apparatus 20 According to Modification]
Next, an information processing procedure in the information processing apparatus 20 according to the modification will be described. FIG. 9 is a flowchart showing the flow of information processing in the information processing apparatus 20 according to the modification, and such processing is repeatedly executed.

As shown in FIG. 9, after executing the processes of steps S10 and S11, the control unit 50 of the information processing device 20 estimates the future behavior of the first user U1 corresponding to the predetermined behavior based on the comparison result. (Step S11a).

Next, the control unit 50 extracts future behavior information indicating the estimated future behavior as factor information indicating factors for the predetermined behavior taken by the first user U1 (step S12a). Subsequently, the control unit 50 advances to step S13, provides the extracted factor information and the like to the service providing server 100 and the terminal device 10, and terminates the process.

[8. effect〕
The information processing device 20 includes an acquisition unit 51 , a comparison unit 52 and an extraction unit 53 . The acquisition unit 51 acquires first behavior information indicating behavior corresponding to a first user U1 who has taken a predetermined behavior in a predetermined period, and a second user U2 who is different from the first user U1 and who has second behavior information indicating the behavior corresponding to the second user U2 who has not taken the predetermined behavior; The comparison unit 52 compares the first behavior information and the second behavior information acquired by the acquisition unit 51 . The extraction unit 53 extracts factor information indicating factors for a predetermined action based on the comparison result of the comparison unit 52 .

Thereby, it is possible to obtain the factor information indicating the factor for the predetermined action taken by the user U (more precisely, the first user U1).

Based on the comparison result of the comparison unit 52, the extraction unit 53 also extracts event information indicating an event corresponding to a predetermined action as factor information.

As a result, it is possible to obtain the factor information indicating the factor for the predetermined action taken by the first user U1 in the form of specific event information.

Further, the acquiring unit 51 acquires the history information indicating the history of behavior corresponding to the first user U1 as first behavior information, and obtains the history information indicating the history of behavior corresponding to the second user U2 as second behavior information. to get as Also, the extraction unit 53 extracts history information included in the first behavior information as factor information based on the comparison result of the comparison unit 52 .

As a result, it is possible to obtain the factor information indicating the factor for the predetermined action taken by the first user U1 as the history information of the specific action.

Further, the extraction unit 53 estimates the future behavior of the first user U1 corresponding to the predetermined behavior based on the comparison result of the comparison unit 52, and extracts future behavior information indicating the estimated future behavior as factor information. do.

As a result, it is possible to obtain the factor information indicating the factor for the predetermined action taken by the first user U1 as concrete future action information.

In addition, the comparison unit 52 compares at least one of search query history information, electronic commerce history information, and posted information posted via the network N, which are included in the first behavioral information and the second behavioral information. compare.

Thereby, for example, when comparing the first behavior information and the second behavior information, the behavior specific to the first user U1 can be accurately obtained as a difference.

The extraction unit 53 also extracts factor information based on the difference obtained by comparing the first behavior information and the second behavior information.

In this way, by using the difference, it is possible to accurately obtain the information indicating the behavior specific to the first user U1, and thus it is possible to accurately extract the factor information indicating the factors for the predetermined behavior.

[9. Hardware configuration]
The information processing apparatus 20 in the above-described embodiment is realized by executing a program by a computer 1000 configured as shown in FIG. 10, for example.

FIG. 10 is a diagram illustrating an example of a hardware configuration of a computer that executes programs. The computer 1000 includes a CPU (Central Processing Unit) 1100, a RAM (Random Access Memory) 1200, a ROM (Read Only Memory) 1300, a HDD (Hard Disk Drive) 1400, a communication interface (I/F) 1500, an input/output interface (I /F) 1600 and a media interface (I/F) 1700 .

The CPU 1100 operates based on programs stored in the ROM 1300 or HDD 1400 and controls each section. The ROM 1300 stores a boot program executed by the CPU 1100 when the computer 1000 is started up, a program depending on the hardware of the computer 1000, and the like.

HDD 1400 stores data and the like used by programs executed by CPU 1100 . Communication interface 1500 corresponds to communication unit 30, receives data from other devices via network N, sends the data to CPU 1100, and transmits data generated by CPU 1100 to other devices via network N.

The CPU 1100 controls output devices such as displays and printers, and input devices such as keyboards and mice, through an input/output interface 1600 . CPU 1100 acquires data from an input device via input/output interface 1600 . CPU 1100 also outputs the generated data to an output device via input/output interface 1600 .

Media interface 1700 reads programs or data stored in recording medium 1800 and provides them to CPU 1100 via RAM 1200 . CPU 1100 loads the program from recording medium 1800 onto RAM 1200 via media interface 1700 and executes the loaded program. The recording medium 1800 is, for example, an optical recording medium such as a DVD (Digital Versatile Disc) or a PD (Phase change rewritable disc), a magneto-optical recording medium such as an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory. etc.

When the computer 1000 functions as the information processing device 20, the CPU 1100 of the computer 1000 executes the program loaded on the RAM 1200 to obtain the acquisition unit 51, the comparison unit 52, the extraction unit 53, and the provision unit 54 shown in FIG. realize each function of

CPU 1100 of computer 1000 reads and executes these programs from recording medium 1800, but as another example, these programs may be acquired via network N from another device.

As described above, some of the embodiments of the present application have been described in detail based on the drawings. It is possible to carry out the invention in other forms with modifications.

[10. others〕
Further, among the processes described in the above embodiments, all or part of the processes described as being automatically performed can be manually performed, or the processes described as being performed manually can be performed manually. All or part of this can also be done automatically by known methods. In addition, information including processing procedures, specific names, various data and parameters shown in the above documents and drawings can be arbitrarily changed unless otherwise specified. For example, the various information shown in each drawing is not limited to the illustrated information.

Also, each component of each device illustrated is functionally conceptual, and does not necessarily need to be physically configured as illustrated. In other words, the specific form of distribution and integration of each device is not limited to the one shown in the figure, and all or part of them can be functionally or physically distributed and integrated in arbitrary units according to various loads and usage conditions. Can be integrated and configured.

Also, the above-described embodiments and modifications can be appropriately combined within a range that does not contradict the processing content.

Also, the "section, module, unit" described above can be read as "means" or "circuit". For example, the acquisition unit 51 can be read as acquisition means or an acquisition circuit.

1 information processing system 10 terminal device 20 information processing device 51 acquisition unit 52 comparison unit 53 extraction unit 100 service providing server

Claims (8)

First action information indicating an action corresponding to a first user who has taken a predetermined action in a predetermined period; and a second user different from the first user who has taken the predetermined action in the predetermined period. an acquisition unit that acquires second behavior information indicating behavior corresponding to the second user who does not
a comparison unit that compares the first behavior information and the second behavior information acquired by the acquisition unit;
an extraction unit that extracts factor information indicating factors for the predetermined behavior based on the comparison result of the comparison unit;
The comparison result of the comparison unit includes an action peculiar to the first user,
The extractor is
estimating a future behavior of the first user that corresponds to the predetermined behavior based on the comparison result of the comparing unit and that is different from behavior specific to the first user; and extracting future behavior information indicating the estimated future behavior as the factor information. The extractor is
estimating a future behavior associated with the behavior specific to the first user as the future behavior of the first user, and extracting the future behavior information indicating the estimated future behavior as the factor information; 2. The information processing apparatus according to claim 1. The extractor is
3. The information processing apparatus according to claim 1, wherein event information indicating an event corresponding to said predetermined action is extracted as said factor information based on the comparison result of said comparison unit. The acquisition unit
Acquiring history information indicating a history of behavior corresponding to the first user as the first behavior information, and obtaining history information indicating a history of behavior corresponding to the second user as the second behavior information,
The extractor is
4. The information processing apparatus according to any one of claims 1 to 3, wherein history information included in said first behavior information is extracted as said factor information based on a comparison result of said comparison unit. The comparison unit
comparing at least one of search query history information, electronic commerce history information, and posted information posted via a network, which are included in the first behavior information and the second behavior information; The information processing apparatus according to any one of claims 1 to 4. The extractor is
The information processing apparatus according to any one of claims 1 to 5, wherein the factor information is extracted based on a difference obtained by comparing the first action information and the second action information. A computer-executed information processing method comprising:
First action information indicating an action corresponding to a first user who has taken a predetermined action in a predetermined period; and a second user different from the first user who has taken the predetermined action in the predetermined period. an acquisition step of acquiring second behavior information indicating behavior corresponding to the second user who does not
a comparing step of comparing the first behavioral information and the second behavioral information obtained by the obtaining step;
an extracting step of extracting factor information indicating a factor for the predetermined behavior based on the comparison result in the comparing step;
the comparison result of the comparison step includes behavior specific to the first user;
The extraction step includes
estimating the future behavior of the first user that corresponds to the predetermined behavior based on the comparison result of the comparing step and that is different from the behavior specific to the first user; and extracting future behavior information indicating the estimated future behavior as the factor information. First action information indicating an action corresponding to a first user who has taken a predetermined action in a predetermined period; and a second user different from the first user who has taken the predetermined action in the predetermined period. an acquisition procedure for acquiring second behavior information indicating behavior corresponding to the second user who does not
a comparing step for comparing the first behavioral information and the second behavioral information obtained by the obtaining step;
causing a computer to execute an extraction procedure for extracting factor information indicating a factor for the predetermined behavior based on the comparison result in the comparison procedure;
A comparison result of the comparison procedure includes behavior specific to the first user;
The extraction procedure includes:
estimating a future behavior of the first user that corresponds to the predetermined behavior based on a comparison result of the comparison procedure and that is different from behavior specific to the first user; , extracting future behavior information indicating the estimated future behavior as the factor information.

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