JP2018142285A - Information processing device, information processing method, and information processing program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an information processing device, an information processing method, and an information processing program that can improve information to be provided to a user on the basis of a positional history which is a history of positions where the user has been located.SOLUTION: An information processing device 100 continuously acquires position information of a terminal device 10 transmitted from the terminal device 10. The position information continuously acquired from the terminal device is held as a position history of a user U1. Also, an action history of the user U1 on a network is acquired from an action history storage unit 121 provided externally. Based on the position history of the user U1 and the action history of the user U1 on the network, a target of interest of the user U1 is estimated. Next, the information processing device provides the user U1 with content corresponding to the target of interest of the user U1. For example, when estimating that the target of interest of the U1 is a real estate, the information processing device 100 provides information on an object of the real estate to the user U1 as content corresponding to the real estate.SELECTED DRAWING: Figure 1

Description

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

  Conventionally, a technique for providing information to a user terminal via a computer network has been provided.

  For example, the real estate search server displays on the map image displayed on the user terminal a mark indicating the position of the real estate property located in the search area input to the user terminal connected to the real estate search site. A real estate search system is provided.

JP 2001-216404 A

  However, in the related art as described above, there are cases where it is impossible to provide the user with information of interest to the user. For example, when information is provided to the user based only on information input to the user terminal, information that is of interest to the user may not be provided to the user.

  The present application has been made in view of the above, and an object thereof is to provide an information processing apparatus, an information processing method, and an information processing program capable of improving information provided to a user.

  An information processing apparatus according to the present application provides an estimation unit that estimates an object of interest of the user based on a position history that is a history of a position where the user is located, and content according to the object of interest of the user to the user. And a providing unit to provide.

  According to one aspect of the embodiment, information provided to the user can be improved.

FIG. 1 is a diagram illustrating an example of information processing according to the embodiment. FIG. 2 is a diagram illustrating a configuration example of the information processing system according to the embodiment. FIG. 3 is a diagram illustrating a configuration example of the information processing apparatus according to the embodiment. FIG. 4 is a diagram illustrating an example of an action history storage unit according to the embodiment. FIG. 5 is a diagram illustrating an example of a displacement history storage unit according to the embodiment. FIG. 6 is a diagram illustrating an example of the estimation result storage unit according to the embodiment. FIG. 7 is a flowchart illustrating an example of an information processing method according to the embodiment. FIG. 8 is a flowchart illustrating another example of the information processing method according to the embodiment. FIG. 9 is a diagram illustrating another example of information processing according to the embodiment. FIG. 10 is a hardware configuration diagram illustrating an example of a computer that implements the functions of the information processing apparatus.

  Hereinafter, an information processing apparatus, an information processing method, and a form for implementing an information processing program (hereinafter referred to as “embodiment”) according to the present application will be described in detail with reference to the drawings. Note that the information processing apparatus, the information processing method, and the information processing program according to the present application are not limited by this embodiment. In the following embodiments, the same portions are denoted by the same reference numerals, and redundant description is omitted.

[1. Information processing concept)
An example of information processing according to the embodiment will be described with reference to FIG. FIG. 1 is a diagram illustrating an example of information processing according to the embodiment. In the example illustrated in FIG. 1, the user identified by the user ID “U1” (hereinafter referred to as “user U1”) is a user who uses the terminal device 10.

  First, for example, the information processing apparatus 100 continuously acquires the position information of the terminal device 10 transmitted from the terminal device 10 (step S01). The information processing apparatus 100 holds the position information continuously acquired from the terminal apparatus 10 as the position history of the user U1. Further, the information processing apparatus 100 acquires, for example, the action history of the user U1 on the network from the action history storage unit 121 provided outside the information processing apparatus 100 (step S02).

  Next, the information processing apparatus 100 estimates the object of interest of the user U1 based on the position history of the user U1 and the action history of the user U1 on the network (step S03). Next, the information processing apparatus 100 provides the user U1 with content corresponding to the object of interest of the user U1 (step S04). For example, when the information processing apparatus 100 estimates that the object of interest of the user U1 is real estate, the information processing apparatus 100 provides the user U1 with information on real estate properties as content corresponding to the real estate.

  As described above, the information processing apparatus 100 provides the user U1 with content corresponding to the object of interest of the user U1 estimated based on the position history of the user U1 and the action history of the user U1 on the network. Information of interest to the user U1 can be provided to the user. Therefore, according to the information processing apparatus 100, the information provided to the user U1 can be improved.

  In the example shown in FIG. 1, the information processing apparatus 100 uses the action history of the user U1 on the network, but based on the position history of the user U1 without using the action history of the user U1 on the network, The object of interest of the user U1 may be estimated. In the example of FIG. 1, the action history storage unit 121 is provided outside the information processing apparatus 100, but the action history storage unit 121 may be provided inside the information processing apparatus 100.

[2. Configuration example of information processing system]
A configuration example of the information processing system 1 including the information processing apparatus 100 according to the embodiment will be described with reference to FIG. FIG. 2 is a diagram illustrating a configuration example of the information processing system 1 according to the embodiment. As illustrated in FIG. 2, the information processing system 1 includes a terminal device 10, a web server 20, and an information processing device 100. The information processing apparatus 100 will be described later.

  In the information processing system 1, the terminal device 10, the web server 20, and the information processing device 100 are connected to each other via a network N so as to be capable of wired or wireless communication. The number of devices included in the information processing system 1 illustrated in FIG. 2 is not limited to the illustrated number. For example, the information processing system 1 may include a plurality of terminal devices 10 and / or a plurality of web servers 20.

  The terminal device 10 is an information processing terminal used by a user. The terminal device 10 accepts various user operations. Hereinafter, the terminal device 10 may be referred to as a user. That is, the user can be read as the terminal device 10.

  The terminal device 10 is realized by, for example, a mobile phone including a smartphone, a tablet terminal, a notebook personal computer (PC), a desktop PC, or a personal digital assistant (PDA). The terminal device 10 also includes a wearable device that is an eyeglass-type or watch-type information processing terminal, and a smart vehicle such as an automobile.

  The terminal device 10 acquires the location information of the terminal device 10 and stores it in the terminal device 10 according to the operation of the terminal device 10 by the user or the function of the terminal device 10. For example, the terminal device 10 uses the global positioning system (GPS), beacon, Wi-Fi, geofence, or indoor positioning technology to obtain position information indicating the position where the terminal device 10 exists. get. That is, the terminal device 10 acquires the position information of the terminal device 10 using, for example, a sensor provided in the terminal device 10. Here, in order to acquire the positional information of the terminal device 10, it is preferable to use GPS. In this case, the acquisition rate of the position information of the terminal device 10 can be improved (the acquisition range (coverage) can be expanded).

  The terminal device 10 transmits the acquired position information to the information processing device 100. For example, the terminal device 10 continuously transmits the acquired position information to the information processing device 100 in accordance with a request from the information processing device 100.

  The web server 20 is a server device that delivers a service page (web page) included in a website that provides various services to the terminal device 10. The web server 20 is, for example, a portal site, news site, auction site, weather forecast site, shopping site, finance (stock price) site, route search site, map providing site, travel site, restaurant introduction site, or web blog. A web page including various related information is distributed to the terminal device 10.

  In the information processing system 1, the web server 20 distributes, for example, a web page including various information related to the real estate related site to the terminal device 10. In this case, the web server 20 accepts a search for real estate from the user or accepts input of user information from the user via the web page. The web server 20 and the information processing apparatus 100 may be integrated.

  In the example illustrated in FIG. 2, the information processing apparatus 100 has acquired the position information of the terminal apparatus 10 from the terminal apparatus 10. However, the information processing apparatus 100 may acquire the position information of the terminal apparatus 10 by crawling the terminal apparatus 10 every predetermined time without being transmitted from the terminal apparatus 10.

  The information processing apparatus 100 may continuously acquire the position information of the terminal apparatus 10 via a program (for example, a smartphone-dedicated application) installed in the terminal apparatus 10. In this case, the information processing apparatus 100 specifies the position of the terminal device 10 based on the information detected from the terminal device 10 without acquiring the position information of the terminal device 10 acquired by the terminal device 10. Thus, the position information of the terminal device 10 may be acquired.

[3. Configuration example of information processing apparatus]
A configuration example of the information processing apparatus 100 according to the embodiment will be described with reference to FIG. FIG. 3 is a diagram illustrating a configuration example of the information processing apparatus 100 according to the embodiment. As illustrated in FIG. 3, the information processing apparatus 100 includes a communication unit 110, a storage unit 120, and a control unit 130. The information processing apparatus 100 includes an input unit (for example, a keyboard and a mouse) that receives various operations from an administrator of the information processing apparatus 100 and a display unit (for example, a liquid crystal display) for displaying various types of information. There may be.

(Communication unit 110)
The communication unit 110 is realized by, for example, a NIC (Network Interface Card). The communication unit 110 is connected to a network (for example, the network N shown in FIG. 2) by wired or wireless means, and transmits and receives information between the terminal device 10 (see FIG. 2) and the information processing apparatus 100.

(Storage unit 120)
The storage unit 120 is realized by, for example, a semiconductor memory element such as a random access memory (RAM) or a flash memory, or a storage device such as a hard disk or an optical disk.

  As shown in FIG. 3, the storage unit 120 includes an action history storage unit 121, a displacement history storage unit 122, and an estimation result storage unit 123. The storage unit 120 may include a user information storage unit that stores various types of information regarding the user. Information about the user includes, for example, a user ID that is identification information for identifying the user, and age, sex, other demographic attribute information, and psychographic attribute information identified by the user ID. Here, the user ID is, for example, an ID of a cookie or an ID issued from the system when the user registers as a member in the system.

(Behavior history storage unit 121)
The action history storage unit 121 stores information related to a user's action history on the network N. FIG. 4 is a diagram illustrating an example of the action history storage unit 121 according to the embodiment. For example, the action history storage unit 121 is a user identified by each user on the network N (for example, a user identified by the user ID “U1”, “U2”, “U3”... U2 ”,“ User U3 ”...

  For example, as illustrated in FIG. 4, the action history storage unit 121 includes information having items such as “user ID” and “access history”. “User ID” indicates information for identifying a user. “Access history” indicates information relating to the access history of each user on the network N.

  As shown in FIG. 4, the action history storage unit 121 includes information having items such as “user ID” and “input query”. The “user ID” is the same as described above. The “input query” indicates information related to the input query of each user on the network N. Here, the input query is, for example, a search keyword input on a search screen or the like.

  For example, in the action history storage unit 121, information related to the “access history” of the user U1 on the network N includes “real estate related site URL”, “book related site URL”, “sport related site URL”, and the like. Indicates that information is included.

  Further, for example, in the action history storage unit 121, information related to the “input query” of the user U1 on the network N includes “Tokyo XXX ward” (area), “20 million yen” (price range), This includes information such as “Property A Browsing” and “Property B Browsing”, information such as “Book A Purchase” and “Book B Purchase” regarding books, and information such as “Sport Watching C” reservation regarding sports.

(Displacement history storage unit 122)
The displacement history storage unit 122 stores information regarding the displacement of the user's position estimated from the history of the position where the user is located. FIG. 5 is a diagram illustrating an example of the displacement history storage unit 122 according to the embodiment. For example, the displacement history storage unit 122 stores information regarding the displacement of the position of each user (for example, the user U1, the user U2, the user U3...).

  For example, as shown in FIG. 5, the displacement history storage unit 122 includes information having items such as “user ID” and “displacement history”. The “user ID” is the same as described above. “Displacement history” indicates information related to the displacement of the position of the user estimated by the information processing apparatus 100.

  For example, in the displacement history storage unit 122, information on the “displacement history” of the user U1 is “stay at the property A of the house exhibition hall for about 30 minutes”, “visit the bookstore more than once a week”, “visit the stadium every month ”,“ Stay at an infant supplies store for about 1 hour ”, and“ stay at a company for about 8 hours every weekday ”.

(Estimation result storage unit 123)
The estimation result storage unit 123 stores information related to the target of interest of the user estimated by the information processing apparatus 100. FIG. 6 is a diagram illustrating an example of the estimation result storage unit 123 according to the embodiment. For example, the estimation result storage unit 123 stores information related to an object of interest of each user (for example, the user U1, the user U2, the user U3,...).

  For example, as illustrated in FIG. 6, the estimation result storage unit 123 includes information having items such as “user ID” and “target of interest”. The “user ID” is the same as described above. The “target of interest” indicates information regarding the target of interest of the user estimated by the information processing apparatus 100.

  For example, the estimation result storage unit 123 indicates that the information related to the “object of interest” of the user U1 includes information such as “housing”, “reading”, “watching sports”, “childcare”, “work”, and the like.

(Control unit 130)
Returning to FIG. 3, the control unit 130 is a controller, and is, for example, an internal unit of the information processing apparatus 100 by a central processing unit (CPU) or a microprocessor (Micro Processing Unit; MPU). Various programs stored in the storage device are implemented by using the RAM as a work area. The control unit 130 is a controller, and is realized by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

  As illustrated in FIG. 3, the control unit 130 includes an acquisition unit 131, an estimation unit 132, a provision unit 133, a determination unit 134, and an output unit 135, and realizes information processing functions or operations described below. Or run. The acquisition unit 131 acquires various types of information. The estimation unit 132 estimates various types of information. The providing unit 133 provides various types of information to the user, for example, to the terminal device 10 used by the user. The determination unit 134 determines various types of information. The output unit 135 outputs various types of information. The internal configuration of the control unit 130 is not limited to the configuration illustrated in FIG. 3, and may be another configuration as long as information processing described later is performed.

[4. Example of effects of information processing)
Next, an information processing procedure executed by the information processing system 1 according to the embodiment will be described with reference to FIG. FIG. 7 is a flowchart illustrating an example of an information processing method according to the embodiment.

  As illustrated in FIG. 7, first, the information processing apparatus 100 acquires a user's position history that is a history of a position where the user is located (step S <b> 101).

  For example, the acquisition unit 131 identifies the terminal device 10 based on cookie information when the terminal device 10 uses a website. For example, the acquisition unit 131 acquires the position information acquired by the terminal device 10. For example, the acquisition unit 131 continuously acquires the position information of the terminal device 10 from the terminal device 10. For example, the acquisition unit 131 acquires the position information of the terminal device 10 from the terminal device 10 at a predetermined time interval (for example, 5 minutes). The position information of the terminal device 10 is indicated by, for example, the longitude and latitude of the position of the terminal device 10.

  The acquisition unit 131 acquires date and time information including day information that acquired the position information of the terminal device 10 in addition to the position information of the terminal device 10. As described above, the acquisition unit 131 acquires the position information of the terminal device 10 in time series, and holds the time series position information of the terminal apparatus 10, that is, the user time series position information.

  The acquisition unit 131 holds time-series position information of the terminal device 10 as a user position history. Here, the position history of the user is information on the history of the position where the user is located. The user position history indicates a history of the actual position where the user is located.

  The acquisition unit 131 estimates the displacement history of the user based on the position history of the terminal device 10 that is time-series position information of the terminal device 10. The user displacement history is information relating to the displacement of the user position estimated from the user position history. A user's displacement history shows information, such as a user's passage in a place where a user, such as a facility, stay / visit, etc., or residence / working, for example. For example, the user's displacement history indicates a user's stay / visit at a location where the user is located at a certain time interval or at a certain frequency.

For example, the position history of the terminal device 10 that is time-series position information of the terminal device 10 is (date and time when the position of the terminal device 10 is measured, position of the terminal device 10) = (DT ₁ , P ₁ ), (DT ₂ , P ₂ ),... (DT _n , P _n ) (where n is a position information number of the terminal device 10 and is a natural number). Further, for example, the time interval ΔDT (i) = DT _{i + 1} −DT _i = constant (i = 1... N−1) (for example, 5 minutes) when the position information of the terminal device 10 is acquired.

For example, the acquisition unit 131 has a change (displacement) ΔP (i) = P _{i + 1} −P _i of the position of the terminal device 10 between the date and time DT _i and the date and time DT _{i + 1} as a predetermined threshold value P ₀ (for example, 50 m). In the case described above, it is estimated that the change from the position P _i to the position P _{i + 1} of the terminal device 10 from the date and time DT _i to the date and time DT _{i + 1} indicates the passage of the user. In addition, for example, when ΔP (i) is less than P ₀ , the acquisition unit 131 indicates that the change from the position P _i to the position P _{i + 1} of the terminal device 10 from the date and time DT _i to the date and time DT _{i + 1} Estimated to indicate / visit etc. or residence / work.

When ΔP (i) is less than P ₀ , for example, the acquisition unit 131 sets the time interval ΣΔDT (i) that satisfies the condition that ΔP (i) is less than P ₀ to a predetermined time (for example, 1 hour). And the like, it is estimated that the change from the position P _i to the position P _{i + 1} of the terminal device 10 from the date and time DT _i to the date and time DT _{i + 1} indicates the stay / visit of the user. On the other hand, in the case where ΔP (i) is less than P ₀ , the acquisition unit 131, for example, has a time interval ΣΔDT (i) that satisfies the condition that ΔP (i) is less than P ₀ is equal to or greater than a predetermined time. In this case, it is estimated that the change from the position P _i to the position P _{i + 1} of the terminal device 10 from the date and time DT _i to the date and time DT _{i + 1} indicates the residence / working of the user.

  As described above, the acquisition unit 131 determines whether the change (displacement) in the position of the terminal device 10 is based on the user's position history, which is time-series position information of the terminal device 10, such as the passage of the user, stay / visit, or the like. Estimated to indicate residence / work.

  The acquisition unit 131 acquires map information corresponding to the position information of the terminal device 10 from the web server 20. The acquisition unit 131 refers to the map information and acquires information on map elements such as facilities at the positions included in the position information of the terminal device 10. Based on the time-series position information and map information of the terminal device 10, the acquisition unit 131 stores the user's displacement history such as the passage of the user, stay / visit, or residence / working at the place where the user is located, such as a facility. presume.

  Alternatively, the acquisition unit 131 acquires a user's behavior history on the network N from the behavior history storage unit 121. The acquisition unit 131 refers to the user's action history on the network N, and acquires information on the location where the user is located, such as a facility at the position included in the position information of the terminal device 10. Based on the time-series position information of the terminal device 10 and the user's action history on the network N, the acquisition unit 131 passes the user, stays / visits, etc. in the place where the user is located, etc. The user's displacement history is estimated.

  For example, when the acquisition unit 131 estimates the stay / visit of the user at the location where the user is located, the acquisition unit 131 is the stay / visit of the user at the location where the user is located at a certain time interval or frequency. Etc. can be estimated. For example, the acquisition unit 131 estimates the stay or visit of the user as illustrated in FIG. 5 as the user's displacement history.

  In this way, the acquisition unit 131 estimates the user's displacement history based on the user's position history that is time-series position information of the terminal device 10 without acquiring in advance information regarding the location where the user is located. Can do.

  For example, the acquisition unit 131 associates the position information of the terminal device 10 with the date / time information on the acquisition of the position information of the terminal device 10 and stores it in a predetermined storage unit as the user's position history. For example, the acquisition unit 131 stores the displacement history of the user in the displacement history storage unit 122.

  Next, the information processing apparatus 100 acquires a user action history on the network N (step S102).

  For example, the acquisition unit 131 acquires information related to the access history of the user on the network N as the action history of the user on the network N. For example, the acquisition unit 131 acquires a browsing history of a predetermined service page. For example, the acquisition unit 131 acquires a URL of a website as shown in FIG.

  For example, the acquisition unit 131 acquires information related to the user's input query on the network N as the action history of the user on the network N. For example, the acquisition unit 131 acquires information related to the search query transmitted by the user in the search service. For example, the acquisition unit 131 acquires information related to the input query as illustrated in FIG.

  For example, the acquisition unit 131 may acquire information on the user's bookmark on the network N or information on the user's material request on the network N as the user's action history on the network N.

  Here, the acquisition unit 131 acquires, from the user's behavior history on the network N, the behavior history related to at least one of an event related to high-value settlement such as real estate transactions, an event related to the user's life stage, and an event related to travel. May be. For example, the acquisition unit 131 may change the event such as the purchase of a real estate property or an overseas trip, or a life stage of the user such as marriage, childbirth, or moving, which causes a larger settlement amount than usual. You may acquire the information regarding the event which generate | occur | produces.

  Note that the acquisition unit 131 may acquire network information such as attribute information of a user who uses the terminal device 10 from the terminal device 10, for example.

  For example, the acquisition unit 131 stores information related to the user's behavior history on the network N in the behavior history storage unit 121.

  Next, the information processing apparatus 100 estimates an object of interest of the user based on the position history of the user (Step S103). In step S102, when the information processing apparatus 100 acquires the user's action history on the network N, in step S103, the information processing apparatus 100 displays the user's position history and the user's action history on the network N. Based on the above, the target of the user's interest is estimated.

  For example, the estimation unit 132 estimates the target of the user's interest based on the user's position history. The estimation unit 132 sets, for example, the category or genre of an element (for example, a map element) such as a facility where the user is located included in the displacement history of the user estimated from the position history of the user as a target of the user's interest. presume. That is, the estimation unit 132 estimates that the user is interested in the category or genre of the place where the user is located, which is included in the user's displacement history. The target of the user's interest is not particularly limited, but the target of the user's interest is, for example, a target of the user's demand, a target of the user's interest, a target of the user's hobby, or a region where the user is interested. Etc.

  For example, the estimation unit 132 may include a “residential exhibition hall”, a “bookstore”, a “stadium”, an “infant goods store”, and “locations” where the user U1 is located in the displacement history of the user U1 as illustrated in FIG. Information on demands or hobbies such as “housing”, “reading”, “watching sports”, “childcare”, and “work” as the objects of interest of the user U1 as shown in FIG. Is estimated.

  As described above, the estimation unit 132 is based on the displacement history of the user acquired based on the time-series position information of the terminal device 10 without acquiring in advance information about the location where the user is located. Can be estimated. That is, the estimation unit 132 can estimate the target of the user's interest based on the time-series position information of the terminal device 10 without acquiring in advance information regarding the location where the user is located.

  Based on the user's position history or the user's displacement history, the estimation unit 132 determines the attributes of the user (family attributes such as age, gender, husband, wife, and child, social attributes such as occupations such as office workers and housewives, It is also possible to estimate demographic attributes such as residences, work places, schools, sports clubs, etc. Furthermore, the estimation unit 132 can estimate the target of the user's interest based on the user's attribute estimated based on the user's position history. For example, when the user's location history indicates that a plurality of users are located in a certain area at night, it can be estimated that the plurality of users are members of the family. For example, when the displacement history of the user indicates that the user stays at an infant supply store, it can be estimated that the user is in the life stage of child-raising and the user's interest is parenting.

  For example, the estimation unit 132 estimates the target of the user's interest based on the user's position history and the user's behavior history on the network N. The user's action history on the network N is, for example, the user's access history on the network N or the user's input query on the network N as described above.

  For example, when the estimation unit 132 estimates the target of the user's interest based on the user's position history, the estimation unit 132 uses, for example, the website as the user's access history on the network N from the behavior history storage unit 121. The browsing history is acquired, and the content of the website browsed by the user is used to estimate the target of the user's interest.

  For example, when the estimation unit 132 estimates a real estate as a user's interest based on the user's location history, the estimation unit 132 uses the real estate such as investment or inheritance tax as the user's access history on the network N. It is also possible to obtain a browsing history of websites related to assets other than those and estimate the user's economic power and the purchase accuracy of real estate accordingly. The estimation unit 132 may estimate the interest in the real estate using the user's economic power and the purchase accuracy of the real estate.

  For example, when the estimation unit 132 estimates the target of the user's interest based on the user's position history, the estimation unit 132, for example, obtains the user's input query history on the network N from the behavior history storage unit 121. The input query acquired and input by the user is used to estimate the object of interest of the user.

  For example, when the estimation unit 132 estimates a real estate as a target of the user's interest based on the user's location history, the estimation unit 132 records the user's input query history on the network N from the behavior history storage unit 121. As an example, it is possible to obtain an input query (for example, area, price range, floor plan, nearest station, etc.) on a real estate web page, and estimate the condition of the real estate that the user is interested in. The estimation unit 132 may estimate real estate candidates using real estate conditions.

  In this way, the estimation unit 132 estimates the target of the user's interest based on the user's position history and the user's action history on the network N, so that not only the user's position history but also the network N Since the user's behavior history can be used to estimate the target of the user's interest, information more interesting to the user can be provided to the user.

  In addition, the estimation unit 132 estimates the target of the user's interest on the network N based on the user's location history and the user's access history on the network N or the user's input query on the network N. Since the user's access history on the network N or the user's input query on the network N can be easily used as the user's behavior history of the user, information more interesting to the user can be provided to the user more easily be able to.

  The estimation unit 132 stores, for example, information on the object of interest of the user on the network N in the estimation result storage unit 123.

  Next, the information processing apparatus 100 provides the user with content corresponding to the user's interest (step S104).

  For example, the providing unit 133 provides the user with content corresponding to the user's interest. For example, the providing unit 133 acquires content corresponding to the object of interest of the user from the web server 20 by using the object of interest of the user as a keyword. The providing unit 133 provides the terminal device 10 used by the user with content corresponding to the user's interest by means of e-mail, advertisement on a web page, push notification, or timeline means, for example.

  For example, when the object of interest of the user U1 is “residential” as illustrated in FIG. 6, the providing unit 133, for example, provides the content “property A” corresponding to “residential”, “Property B” and “Property C” are provided to the user U1.

  As described above, the providing unit 133 provides the user with the content corresponding to the target of the user's interest estimated based on the position history that is the history of the position where the user is located. Even when the user does not acquire the information in advance, information of interest to the user can be provided to the user. Therefore, the information provided to the user can be improved.

  The providing unit 133 obtains content according to the target of the user's interest estimated based on the user's position history and content corresponding to the target of the user's interest estimated based on the user's behavior history on the network N. A combination may be provided to the user. For example, the providing unit 133 refers to the location of the user included in the user's location history and the content included in the website browsed by the user or the input query input by the user, and targets the user's interest. Providing the corresponding content to the user.

  For example, a case where the object of interest of the user U1 is “house” as illustrated in FIG. 6 will be described. Of the contents “Property A”, “Property B”, and “Property C” corresponding to “House”, “Property A” is the property in the “Residential Exhibition Hall” where the user U1 stayed. When “A” and “Property B” are properties viewed by the user U1 on the web page, the providing unit 133, for example, provides information on “Property B” of interest that the user U1 has not visited to the user. Provide to U1.

  Alternatively, in the case where “Property C” is a property in the “residential exhibition hall” where the user U1 stayed and “Property A” and “Property B” are properties viewed by the user U1 on the web page For example, the providing unit 133 provides the user U1 with information on both “Property A” and “Property B” of interest that the user U1 has not visited.

  Alternatively, “Property A” and “Property B” are properties in the “residential exhibition hall” where the user U1 stayed, and “Property A” and “Property B” were viewed by the user U1 on the web page. In this case, for example, the providing unit 133 provides the user U1 with information on “Property C” that the user U1 has not visited.

  Alternatively, “Property A” is a property in the “residential exhibition hall” where the user U1 stayed, and any of “Property A”, “Property B”, and “Property C” is viewed on the web page by the user U1. If the property is not a property that has been made, the providing unit 133 provides the user U1 with information on “Property B” and “Property C” that the user U1 has not visited.

  In this way, the providing unit 133 applies the content according to the target of the user's interest estimated based on the user's position history and the target of the user's interest estimated based on the user's behavior history on the network N. By providing the user with a combination of corresponding contents, both contents can be used to provide the user with information that is of interest to the user. Therefore, information that is more interesting to the user can be provided to the user. it can.

  For example, the providing unit 133 provides the user with content corresponding to the target of the user's interest according to the time when the user is located in a place related to the target of the user's interest. Here, the time at which the user is located includes the time at which the user is located, the time interval at which the user is located, the total time interval at which the user is located, the frequency at which the user is located, and the like.

  For example, the providing unit 133 provides the user with content corresponding to the object of interest of the user during the stay of the user in a place related to the object of interest of the user. For example, the providing unit 133 provides the user with content corresponding to the object of interest of the user after a predetermined time (for example, 1 hour) after the user leaves the place related to the object of interest of the user.

  In this way, the providing unit 133 provides the user with content corresponding to the user's interest according to the time the user is located at the location related to the user's interest, thereby obtaining information that is of interest to the user. It can be provided at a more appropriate timing by the user.

  Next, another information processing procedure executed by the information processing system 1 according to the embodiment will be described with reference to FIG. FIG. 8 is a flowchart illustrating another example of the information processing method according to the embodiment.

  As illustrated in FIG. 8, first, the information processing apparatus 100 acquires a user position history that is a history of a position where the user is located (step S <b> 201). Step S201 is the same as step S101 described above.

  Next, the information processing apparatus 100 acquires a user's action history on the network N (step S202). Step S202 is the same as step S102 described above.

  Next, the information processing apparatus 100 determines whether or not the location where the user is located is related to the content on the network N corresponding to the user's behavior history based on the user's location history and the user's behavior history on the network N. Is determined (step S203).

  For example, the determination unit 134 is based on the user's location history and the user's behavior history on the network N, and the content on the network N corresponds to the user's behavior history where the user is located included in the user's location history. It is determined whether or not it is related. The determination unit 134 determines, for example, whether or not the location where the user is included in the user's location history matches or is similar to the content on the network N corresponding to the user's behavior history.

  In response to this, the determination unit 134 determines, for example, whether or not the location of the user at the location depends on browsing content on the network N corresponding to the user's behavior history. For example, if the location where the user is located included in the user's location history matches or is similar to the content on the network N corresponding to the user's behavior history, the determination unit 134 determines the location of the user at that location. , It is determined to depend on browsing of content on the network N corresponding to the user's behavior history.

  As described above, based on the user's position history and the user's behavior history on the network N, the determination unit 134 determines whether the location where the user is located is related to the content on the network N corresponding to the user's behavior history. This determination makes it possible to determine whether the location of the user at the location is due to the content on the network N corresponding to the user's behavior history. In addition, it is possible to measure the (advertisement) effect of the content on the network N corresponding to the user's action history for the location of the user at that location.

  Another example of information processing according to the embodiment will be described with reference to FIG. FIG. 9 is a diagram illustrating another example of information processing according to the embodiment. Also in the example illustrated in FIG. 9, the user U <b> 1 is a user who uses the terminal device 10 as in the example illustrated in FIG. 1.

  For example, the action history storage unit 121 provided outside the information processing apparatus 100 transmits content on the network corresponding to the action history of the user U1 to the terminal device 10. Thereby, the action history storage unit 121 provides the content on the network corresponding to the action history of the user U1 to the user U1 (step S11). For example, as shown in FIG. 9, the action history storage unit 121 includes “Property A on a real estate related site”, “Book B on a book related site” as content on a network corresponding to the action history of the user U1. And information of "watching sports C on a sports related site" is provided to the user U1.

  Next, for example, it is assumed that the user U1 who uses the terminal device 10 stays in “Property A” of the “House Exhibition Hall” for about 30 minutes. Next, the information processing apparatus 100 continuously acquires, for example, the user position information transmitted from the terminal device 10. The information processing apparatus 100 holds the position information continuously acquired from the terminal apparatus 10 as the position history of the user U1 (step S12).

  In addition, the information processing apparatus 100 acquires, for example, the action history of the user U1 on the network from the action history storage unit 121 (step S13).

  Next, for example, based on the location history of the user U1 and the behavior history of the user U1 on the network, the information processing apparatus 100 determines that the property U where the user U1 is located is the property U of the housing exhibition hall. Whether or not the content on the network N corresponding to the action history is related to the information of “Property A on Real Estate Related Site”, “Book B on Book Related Site”, and “Watch Sports C on Sports Related Site” A determination is made (step S14).

  For example, the information processing apparatus 100 determines that the place “the property A of the housing exhibition hall” where the user stays matches the content “the property A on the real estate related site” corresponding to the access history of the user U1. In this case, for example, the information processing apparatus 100 determines that the stay (visit) of the user U1 at the place “Property A in the residential exhibition hall” is due to the browsing of the content “Property A on the real estate related site”. Therefore, for example, the information processing apparatus 100 determines that the advertising effect of the content “Property A on the Real Estate Related Site” for the stay (visit) of the user U1 in the place “Property A in the residential exhibition hall” is high.

  On the other hand, for example, in the information processing apparatus 100, the location where the user stayed in the location history of the user U1 “stay in the property A in the housing exhibition hall for about 30 minutes” “the property A in the housing exhibition hall” is accessed by the user U1. The content corresponding to the history “Book B on the book-related site” or “Sport watching C on the sports-related site” is determined not to match. In this case, the information processing apparatus 100, for example, the user U1's stay (visit) at the place “Property A in the residential exhibition hall” is the content “Book B on the book-related site” or “Sports on the sports-related site”. It is determined that it is not caused by viewing of “Watching C”. Therefore, the information processing apparatus 100, for example, an advertisement of “book B on the content book-related site” or “watching sports C on the sports-related site” for the stay (visit) of the user U1 in the place “Property A of the residential exhibition hall”. The effect is judged to be low.

  In this way, the information processing apparatus 100 has the contents “Property A on the real estate related site”, “Book related” on the network in which the place “the property A of the residential exhibition hall” where the user U1 stayed corresponds to the action history of the user U1. By determining whether or not it is related to “book B on the site” and “watching sports C on a sports-related site”, the stay of user U1 at the location “Property A in the residential exhibition hall” is determined to be user U1. Whether or not it is caused by the content “Property A on the real estate related site”, “Book B on the book related site”, and “Watch sports C on the sports related site” on the network corresponding to the action history of Can be determined.

  Also in the example illustrated in FIG. 9, the action history storage unit 121 is provided outside the information processing apparatus 100 as in the example illustrated in FIG. 1, but the action history storage unit 121 is provided inside the information processing apparatus 100. It may be provided.

  Next, the information processing apparatus 100 outputs the determination result (step S204).

  For example, the output unit 135 outputs a result of the determination as to whether or not the location where the user is located is related to content on the network N corresponding to the user's behavior history. For example, the output unit 135 outputs the determination result to the content provider. The content provider is, for example, an advertiser. The output unit 135 outputs the determination result to, for example, a display unit (not shown) or a terminal device of a content provider (not shown). The display unit is, for example, a display screen of a liquid crystal display.

  For example, the providing unit 133 provides the user with content corresponding to the user's interest based on the determination result made by the determination unit 134 or the determination result output from the output unit 135. That is, the providing unit 133 selects content to be provided to the user based on, for example, the determination result made by the determination unit 134 or the determination result output from the output unit 135.

  For example, when the providing unit 133 provides content related to real estate to the user, the providing unit 133 provides the user with a property related to or not related to the property where the user is located. As described above, when the providing unit 133 provides the user with content corresponding to the target of interest of the user based on the determination result made by the determination unit 134 or the determination result output from the output unit 135. Since the content according to the object of interest of the user depending on the result of the determination can be provided to the user, information more interesting to the user can be provided to the user.

[5. Hardware configuration)
The information processing apparatus 100 according to the embodiment described above is realized by a computer 1000 configured as shown in FIG. 10, for example. FIG. 10 is a hardware configuration diagram illustrating an example of a computer that implements the functions of the information processing apparatus 100. The computer 1000 includes a CPU 1100, a RAM 1200, a ROM (Read Only Memory) 1300, an 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 a program stored in the ROM 1300 or the HDD 1400 and controls each unit. 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.

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

  The CPU 1100 controls an output device such as a display and a printer and an input device such as a keyboard and a mouse via the input / output interface 1600. The CPU 1100 acquires data from the input device via the input / output interface 1600. In addition, the CPU 1100 outputs the generated data to the output device via the input / output interface 1600.

  The media interface 1700 reads a program or data stored in the recording medium 1800 and provides it to the CPU 1100 via the RAM 1200. The CPU 1100 loads such a program from the recording medium 1800 onto the RAM 1200 via the 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 PD (Phase change rewritable disk), a magneto-optical recording medium such as an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory. Etc.

  For example, when the computer 1000 functions as the information processing apparatus 100 according to the embodiment, the CPU 1100 of the computer 1000 implements the function of the control unit 130 by executing a program loaded on the RAM 1200. The CPU 1100 of the computer 1000 reads these programs from the recording medium 1800 and executes them. However, as another example, these programs may be acquired from other devices via the network N.

[6. effect〕
As described above, the information processing apparatus 100 includes the estimation unit 132 and the provision unit 133. The estimation unit 132 estimates the target of the user's interest based on the position history that is the history of the position where the user is located. The providing unit 133 provides the user with content corresponding to the user's interest. As a result, information of interest to the user can be provided to the user.

  Further, in the information processing apparatus 100, the estimation unit 132 estimates the target of the user's interest based on the position history and the user's behavior history on the network N. Thereby, the user can be provided with information that is more interesting to the user.

  Further, in the information processing apparatus 100, the estimation unit 132 receives the user's interest based on the user's access history on the network N or the user's input query on the network N as the user's behavior history on the network N. Estimate the target. As a result, it is possible to more easily provide the user with information of interest to the user.

  Further, in the information processing apparatus 100, the providing unit 133 provides the user with content corresponding to the target of the user's interest according to the time when the user is located at the location related to the target of the user's interest. Thereby, information of interest to the user can be provided to the user at a more appropriate timing.

  The information processing apparatus 100 further includes a determination unit 134 and an output unit 135. Based on the position history and the user's behavior history on the network N, the determination unit 134 determines whether the location where the user is located is related to the content on the network N corresponding to the user's behavior history. The output unit 135 outputs the determination result. Thereby, it can be determined whether or not the location of the user at the location is due to the content on the network N corresponding to the user's behavior history.

[7. Others]
As described above, some of the embodiments of the present application have been described in detail with reference to the drawings. It is possible to implement the present invention in other forms with improvements.

  In addition, among the processes described in the above embodiment, all or part of the processes described as being automatically performed can be performed manually, or the processes described as being performed manually can be performed. All or a part can be automatically performed by a known method. In addition, the processing procedures, specific names, and information including various data and parameters shown in the document and drawings can be arbitrarily changed unless otherwise specified. For example, the various types of information illustrated in each drawing is not limited to the illustrated information.

  Further, each component of each illustrated apparatus is functionally conceptual, and does not necessarily need to be physically configured as illustrated. In other words, the specific form of distribution / integration of each device is not limited to that shown in the figure, and all or a part thereof may be functionally or physically distributed or arbitrarily distributed in arbitrary units according to various loads or usage conditions. Can be integrated and configured.

  In addition, the processes described in the embodiments described above can be appropriately combined within a range in which the process contents are not contradictory.

  In addition, the “section (module, unit)” described above can be read as “means” or “circuit”. For example, the acquisition unit can be read as acquisition means or an acquisition circuit.

DESCRIPTION OF SYMBOLS 1 Information processing system 10 Terminal apparatus 20 Web server 100 Information processing apparatus 110 Communication part 120 Storage part 121 Action history storage part 122 Displacement history storage part 123 Estimation result storage part 130 Control part 131 Acquisition part 132 Estimation part 133 Provision part 134 Determination part 135 Output section N Network

Claims (7)

An estimation unit that estimates an object of interest of the user based on a position history that is a history of a position where the user is located;
An information processing apparatus comprising: a providing unit that provides the user with content corresponding to an object of interest of the user. The information processing apparatus according to claim 1, wherein the estimation unit estimates a target of interest of the user based on the position history and the user's action history on a network. The estimation unit estimates an object of interest of the user based on an access history of the user on the network or an input query of the user on the network as an action history of the user on the network. The information processing apparatus according to claim 2. The said provision part provides the said user with the content according to the object of interest of the said user according to the time when the said user was located in the place regarding the object of interest of the said user. The information processing apparatus according to any one of the above. A determination unit configured to determine whether the location where the user is located is related to content on the network corresponding to the user's behavior history based on the location history and the user's behavior history on the network; ,
The information processing apparatus according to claim 1, further comprising: an output unit that outputs the result of the determination. An estimation step of estimating an object of interest of the user based on a position history that is a history of a position where the user is located;
A providing step of providing the user with content corresponding to the object of interest of the user. An estimation procedure for estimating an object of interest of the user based on a position history that is a history of a position where the user is located;
An information processing program that causes a computer to execute a process including a provision procedure for providing content corresponding to an object of interest of the user to the user.

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