JP2014011559A - Closeness calculation device and closeness calculation method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To calculate probable closeness even with respect to a user who registers a small number of items in contact information.SOLUTION: A closeness calculation device 10 comprises: a registered item score calculation unit 11 which calculates the registered item score of a second user, on the basis of the presence/absence of one or more registered items included in contact information of the second user registered in telephone directory information of a first user; a mutual registration score calculation unit 12 which calculates a mutual registration score on the basis of whether the first user and the second user are in a mutually registered state in which the contact information of the second user is registered in the telephone directory information of the first user and the contact information of the first user is registered in the telephone directory information of the second user; and a closeness calculation unit 18 which calculates the closeness of the first user to the second user on the basis of the registered item score calculated by the registered item score calculation unit 11 and the mutual registration score calculated by the mutual registration score calculation unit 12.

Description

  The present invention relates to a closeness calculation apparatus and closeness calculation method for calculating closeness between users of communication terminals.

  In recent years, in communication terminals such as mobile phones and smartphones, in addition to using conventional communication functions such as making and receiving calls and sending and receiving e-mails, information is shared based on friendships set between users of each communication terminal The use of social network services (SNS) that enable the network is becoming popular.

  When using SNS in a communication terminal, friends on the SNS are rearranged or displayed by using an intimacy indicating how close one user is to another user. Privacy settings such as restricting sharing of information to friends with low intimacy. As methods for calculating the intimacy, there are methods using telephone directory information including contact information of acquaintances and friends of users of communication terminals as described in Patent Document 1 below, and Patent Document 2 below. , 3 using the AC information such as the communication frequency is known.

  In particular, Patent Document 1 below discloses the following technique. In the communication terminal, the telephone number or e-mail address of the user of the other communication terminal is associated with the name of each user and stored in the address storage unit. Based on the information stored in the address storage unit, each user and both the telephone number and the e-mail address are stored in the address storage unit when calculating the intimacy between the users of other communication terminals. For users who have been registered, only one of the phone number or e-mail address has a greater weighting coefficient for calculating intimacy than the user stored in the address storage unit, or additional personal information such as birthday, photo, address, etc. For a user in which is stored, the weighting coefficient for calculating the familiarity is increased.

JP 2011-15383 A International Publication No. 2009/022713 Japanese Patent Laid-Open No. 2006-260099

  However, depending on the user of the communication terminal, when the contact information of other users is registered in the phone book information, for each user, for example, only one of a telephone number or an e-mail address is stored, and the birthday, photo, address In some cases, additional personal information such as In such a case, for any user registered in the phone book information, the number of items registered in the contact information is reduced. Therefore, even if the technique of the cited document 1 is applied, the calculated familiarity There were times when it was not necessarily certain.

  Therefore, the present invention has been made to solve such a problem, and a familiarity calculation device capable of calculating a probable familiarity even for a user having a small number of items registered in the contact information. And to provide a method of calculating intimacy.

  In order to solve the above-described problem, the closeness calculation apparatus according to the present invention determines whether or not there is one or more registration items included in the contact information of the second user registered in the phone book information of the first user. Registration item score calculation means for calculating the registration item score of the second user based on the second user contact information is registered in the first user phone book information and the second user phone book information A mutual registration score calculating means for calculating a mutual registration score based on whether or not the first user and the second user are in the mutual registration state in which the contact information of the first user is registered; Intimacy calculating means for calculating the familiarity of the first user for the second user based on the registration item score calculated by the means and the mutual registration score calculated by the mutual registration score calculating means And features.

  In the closeness calculation apparatus having such a configuration, the registration item score calculation means determines whether there is one or more registration items included in the contact information of the second user registered in the phone book information of the first user. Based on whether the first user and the second user are in a mutual registration state, the mutual registration score calculation means calculates a registration item score related to the second user, The familiarity calculating means calculates the familiarity of the first user with respect to the second user based on the registration item score and the mutual registration score. Therefore, even when the number of registration items included in the contact information of the second user is small, the mutual registration score based on whether or not the first user and the second user are in the mutual registration state is used. Since the intimacy can be calculated, a probable intimacy can be calculated.

  In the closeness calculation means of the present invention, the mutual registration score calculation means is such that the first user and the second user are in a mutual registration state, and the first user and the second user are in a mutual registration state. The first user and the second user are in a mutual registration state and the first user and the second user are in a state where the relationship established between the first user and the second user is The mutual registration score may be calculated so as to give a higher mutual registration score than when there is no relationship with the user. In this case, when the first user and the second user are in the mutual registration state, the relationship established when the first user and the second user are in the mutual registration state is the first user. And the second user are given a higher mutual registration score than in the case where there is no such relationship, the intimacy can be calculated more accurately.

  In addition, the closeness calculating means may correct the closeness of the first user with respect to the second user based on at least one of the closeness of the second user with respect to the first user and the registered item score. . In this case, even when the number of items of contact information registered in the phone book information of the first user is small, the familiarity calculating means uses the phone book information of the second user to know the parent of the first user. Since the density is corrected, the familiarity can be calculated more accurately.

  Further, the familiarity calculation device includes a first user registration level determined based on a registration item score calculated by the registration item score calculation means for a plurality of contact information in the first user's phone book information; The registration level of the second user determined based on the registration item score calculated by the registration item score calculation means for the plurality of contact information in the second user's telephone directory information is compared, and the second user's registration level is compared. When the registration level determination means for determining whether or not the registration level is higher than the registration level of the first user is further provided, the closeness calculation means has the registration level of the second user higher than the registration level of the first user. When the registration level determination means determines, the closeness of the first user for the second user is corrected based on the closeness of the second user for the first user. Unishi may be. In this case, only when the registration level of the second user is higher than the registration level of the first user, the intimacy calculation means corrects the intimacy of the first user with respect to the second user. Since the familiarity is not corrected when there are a large number of registered items in the telephone directory, excessive correction of the familiarity can be prevented.

  In addition, the closeness calculation device sets the last update time, which is the time when one or more registered items of the contact information corresponding to the second user in the phone book information of the first user are last updated. Update score calculation means for calculating an update score based on the update score calculation means, and the familiarity calculation means calculates the familiarity of the first user with respect to the second user based on the update score calculated by the update score calculation means. It may be. In this case, since the familiarity is calculated based on the update score even when the number of registration items in the phone book information of the first user is small, the familiarity can be calculated more accurately.

  Further, the update score calculation means may calculate the update score so that the update score decreases as the elapsed time from the last update time becomes longer. In this case, when the elapsed time from the last update time is short, the update score is calculated to be high, so the closeness to the user immediately after the registration item is updated is calculated to be high, and the closeness is more accurate. Can be calculated.

  Further, the registration item score calculating means is based on the presence / absence of one or more registration items in the contact information corresponding to the second user in the phone book information of the first user and weight information according to the type of the registration item. The registration item score for the second user may be calculated. In this case, since the registration item score is calculated based not only on the presence / absence of the registration item but also on the weighting information corresponding to the type of the registration item, for the registration item strongly related to the intimacy, the registration coefficient is increased. Scores can be calculated and intimacy can be calculated more accurately.

  The registration item score calculation means is configured to output the first item when the value of one or more registration items included in the contact information corresponding to the second user in the phone book information of the first user satisfies a predetermined condition. The registration item score value may be calculated lower than the case where all the registration item values included in the contact information corresponding to the second user in the user's telephone directory information do not satisfy the predetermined condition. In this case, the value of the registration item included in the contact information corresponding to the second user may be inappropriate, or the second user may be a store or company, etc. and may be a target for calculating intimacy. If not, the registration item score is calculated to be low, so that the intimacy can be calculated more accurately.

  The intimacy calculation device further includes an AC score calculation means for calculating an AC score based on the AC history information between the first user and the second user, and the intimacy calculation means is an AC score calculation means. The closeness of the first user with respect to the second user may be calculated based on the AC score calculated by the above. In this case, since the familiarity is calculated based on the AC history information, the familiarity can be calculated more accurately.

  The present invention relating to the intimacy calculation device as described above can also be regarded as an invention relating to the intimacy calculation method, and can be described as follows. That is, the closeness calculation method according to the present invention is a closeness calculation method executed by the closeness calculation device, and is included in the contact information of the second user registered in the phone book information of the first user. A registered item score calculating step for calculating a registered item score for the second user based on the presence or absence of one or more registered items, and the contact information of the second user is registered in the phone book information of the first user And the mutual registration score is calculated based on whether or not the first user and the second user are in the mutual registration state in which the contact information of the first user is registered in the phone book information of the second user. Based on the mutual registration score calculation step, the registration item score calculated in the registration item score calculation step, and the mutual registration score calculated in the mutual registration score calculation step, the second user is Comprising a closeness calculation step of calculating a closeness of the first user to the.

  According to the present invention, a probable intimacy can be calculated even for a user with a small number of items registered in the contact information.

It is a block diagram which shows the functional structure of a server provided with the closeness calculation apparatus of 1st Embodiment. It is a figure which shows the hardware constitutions of a communication terminal and a server. It is a figure which shows the example of contact information. It is a figure which shows the example of the weight table of a registration item. It is a figure which shows the example of a score table. It is a flowchart which shows the process of a closeness calculation method. It is a block diagram which shows the functional structure of a communication terminal provided with the closeness calculation apparatus of 2nd Embodiment.

  Embodiments of a closeness calculation apparatus and a closeness calculation method according to the present invention will be described with reference to the drawings. If possible, the same parts are denoted by the same reference numerals, and redundant description is omitted.

[First Embodiment]
FIG. 1 is a block diagram illustrating a functional configuration of a server 20 including a closeness calculation apparatus 10 according to the first embodiment. In the present embodiment, the familiarity calculation device 10 is arranged in the server 20. The server 20 can be connected to a plurality of communication terminals (here, communication terminals 41 and 42 as an example) via a network such as a cellular phone network. In the following description, the user of the communication terminal 41 is referred to as a first user, and the user of the communication terminal 42 is referred to as a second user. The server 20 is connected to a telephone directory database 30 described later via a network.

  FIG. 2A shows an example of the hardware configuration of the server 20. As a hardware configuration, the server 20 has a CPU 20A, a RAM 20B, a ROM 20C, an input device 20D such as a keyboard and a mouse as input devices, a communication device 20E that communicates with an external device, and a file for storing files. The auxiliary storage device 20F and an output device 20G such as a display or a printer, which are output devices, are provided, and no special hardware configuration is required. The function of each functional block of the server 20 to be described later is to read a predetermined program into the RAM 20B, etc., operate the input device 20D, the communication device 20E, and the output device 20G under the control of the CPU 20A, and to the auxiliary storage device 20F etc. It is executed by reading and writing data.

  FIG. 2B shows an example of the hardware configuration of the communication terminal 41. The communication terminal 41 includes, as a hardware configuration, a CPU 41A, a RAM 41B, a ROM 41C, an input device 41D such as a touch panel or a numeric keypad that is an input device, a communication device 41E that communicates with an external device, and a display that is an output device. Etc., and does not require a special hardware configuration. Each function of the communication terminal 41 is executed by causing the RAM 41B or the like to read a predetermined program and operating the input device 41D, the communication device 41E, and the output device 41F under the control of the CPU 41A.

  Returning to FIG. 1, the description of the familiarity calculation device 10 of the present embodiment will be continued. The server 20 manages phone book information of users of communication terminals such as the communication terminal 41 and the communication terminal 42 using the phone book database 30. Each user's telephone directory information includes contact information of a plurality of communication partners. Furthermore, the contact information includes one or more registration item information including a contact number for identifying the contact information, an attribute name, and a value.

  FIG. 3 shows an example of registration item information of one contact information in a certain user's phone book information. In this example, the attribute name includes first name, last name, telephone number (mobile), telephone number (home), mail address (mobile), SNS address, group name, birthday, favorite, home address, and photograph. Here, the value corresponding to the attribute name “group name” is only “friend”. However, since the user may belong to a plurality of groups, a plurality of values corresponding to the attribute name “group name” may be set. Is possible. The attribute name “favorite” can take two types of values, “with setting” and “without setting”, and indicates whether or not the contact is included in the favorites list. The favorite list is a list in which a certain user selects and collects contacts intimately with the user and contacts with a high communication frequency with the user. Further, as a value corresponding to the attribute name “photo”, it is possible to set a photo image data, or a URL (Uniform Resource Locator) or a pointer that refers to the photo image data.

  1 is a registration item score calculation unit 11 (registration item score calculation unit), a mutual registration score calculation unit 12 (mutual registration score calculation unit), a registration level determination unit 13 (registration level determination unit). The update score calculator 14 (update score calculator), the AC score calculator 15 (AC score calculator), the score table 16, the weight table 17, and the intimacy calculator 18 (intimacy calculator). .

  The registration item score calculation unit 11 is based on the presence / absence of one or more registration items included in the contact information of the second user in the phone book information of the first user and weight information according to the type of the registration item, The registration item score of the second user is calculated. Specifically, the registration item score calculation unit 11 reads the phone book information of the first user from the phone book database 30, and refers to the contact information corresponding to the second user in the phone book information of the first user. To do. Then, the registration item score calculation unit 11 obtains a registration item variable x [i] indicating the presence or absence of the registration item in the referenced contact information and a weighting factor w [i] determined in advance according to the registration item. Use this to calculate the registration item score S1.

  The registered item variable x [i] is 1 when a value is registered in the registered item of item number i, and is 0 when a value is not registered in the registered item of item number i. Further, the weight coefficient w [i] is stored in the weight table 17 in association with the registration item. An example of information stored in the weight table 17 is shown in FIG. For example, a weighting factor 50 is given to the registration item “birthday”, and a weighting factor 50 is given to the registration item “anniversary”. In this way, a large weighting factor is given to a registered item that is highly related to the familiarity.

When the number of registration items is n, the registration item score calculation unit 11 uses the registration item variable x [i] and the weighting coefficient w [i] to calculate the registration item score S1 by the following equation (1). calculate.
S1 = w [1] × x [1] + w [2] × x [2] +... + W [n] × x [n] (1)

  For example, when birthdays and favorites are registered, the weighting factor shown in FIG. 4 indicates that the birthday weighting factor is 50 and the favorite weighting factor is 30, so S1 = 50 × 1 + 30 × 1 = 80. . Note that the registration item score may be set according to the combination of registration, for example, when both the mobile phone number and the e-mail address are registered, the registration item score is set high.

  Also, the registration item score calculation unit 11 determines whether the value of the registration item included in the contact information of the second user in the phone book information of the first user satisfies a predetermined condition, and includes the contact information. When the value of one or more registration items included satisfies a predetermined condition, the value of the registration item score is set lower than when all the registration item values included in the contact information do not satisfy the predetermined condition. .

  For example, if either the month or the day is not registered in the birthday registration item, and the information indicating the birthday is insufficient, the registration item score calculation unit 11 registers the birthday registration item. The item variable x [i] is set to 0, and the birthday registration item is not used for the calculation of the registration item score S1.

  In addition, when the telephone number registered in the telephone number registration item included in the contact information is a number used in an incoming billing service such as toll-free (registered trademark) that charges the recipient, It is estimated that the contact is a company, a store, etc., and there is no point in calculating intimacy. For this reason, the registration item score calculation unit 11 sets the registration item score for this contact to zero and excludes it from the calculation of intimacy.

  The mutual registration score calculation unit 12 calculates a mutual registration score based on whether or not the first user and the second user are in a mutual registration state. Here, the mutual registration state means that the contact information of the second user is registered in the phone book information of the first user, and the contact information of the first user is registered in the phone book information of the second user. The state that is. The mutual registration score calculation unit 12 reads the phone book information of the first user and the phone book information of the second user from the phone book database 30, and whether the first user and the second user are in a mutual registration state. Determine whether or not. Note that the registered contact information may be any of a telephone number, a mail address, and an SNS address. The mutual registration score calculation unit 12 has a higher mutual registration when the first user and the second user are in the mutual registration state than when the first user and the second user are not in the mutual registration state. Calculate the mutual registration score to give a score.

  In addition, the mutual registration score calculation unit 12 has a relationship established when the first user and the second user are in the mutual registration state and the first user and the second user are in the mutual registration state. Is between the first user and the second user, the first user and the second user are in a mutual registration state and the above relationship between the first user and the second user The mutual registration score is calculated so as to give a higher mutual registration score than when there is no sex.

  Here, the relationship established when the first user and the second user are in the mutual registration state is specifically established by the following procedure. First, the server 20 refers to the telephone directory database 30 to detect that the first user and the second user are in a mutual registration state. Next, the server 20 inquires of the communication terminal 41 of the first user and the communication terminal 42 of the second user whether or not to establish a relationship between the first user and the second user. Do. Then, when both the first user and the second user who have received the inquiry permit establishment of the relationship, the communication terminal 41 and the communication terminal 42 respectively notify the server 20 that the establishment of the relationship is permitted. Notice. When the server 20 receives the notification that the establishment of the relationship is permitted, the server 20 establishes the relationship between the first user and the second user.

  When the relationship is established between the first user and the second user, the communication terminal 41 of the first user and the communication terminal 42 of the second user mutually perform processing such as information transmission / reception and information sharing. Execute. For example, when the first user changes his / her mail address, the first user's communication terminal 41 notifies the second user, and the second user's communication terminal 42 notifies the second user's telephone directory. The mail address of the contact information of the first user included in the information is updated. In addition, when a relationship is established between the first user and the second user, for example, a photo file is shared by the communication terminal 41 of the first user and the communication terminal 42 of the second user. You may make it do.

  Such a relationship is established by allowing both the first user and the second user to establish the relationship in addition to the first user and the second user being in the mutual registration state. Is to be done. Accordingly, when the relationship is established, it is estimated that the closeness between the first user and the second user is high. For this reason, when the relationship between the 1st user and the 2nd user is established, it is suitable for the mutual registration score calculation part 12 to calculate the score concerning a closeness highly.

  In addition, about said relationship, it is good also as a thing with the step of several depths instead of only the two steps of whether there is a relationship. In this case, according to the depth of the relationship, the score related to the intimacy can be set so that the higher the relationship, the higher the score. Here, regarding the depth of the relationship, for example, when the relationship is shallow, only transmission / reception of email addresses is permitted, and when the relationship is deep, sharing of photos is permitted, etc. It is conceivable that the parameter is related to the type of information to be processed. Also, when the relationship is shallow, the direction of information transmission is limited to only one-way information transmission from the first user to the second user, and when the relationship is deep, the first user and the second user Bidirectional information transmission between users may be performed.

  Specifically, the mutual registration score calculation unit 12 refers to the score table 16 and calculates the mutual registration score S2. An example of the information stored in the score table 16 is shown in FIG. The score table 16 stores a value of a mutual registration score corresponding to a state type such as the presence / absence of a mutual registration state and the presence / absence of a relationship.

  The registration level determination unit 13 compares the registration level of the first user with the registration level of the second user, and determines whether the registration level of the second user is higher than the registration level of the first user. Part. Here, the registration level L1 of the first user is a numerical value determined based on the registration item score calculated by the registration item score calculation unit 11 for a plurality of contact information in the phone book information of the first user. is there. The registration level L2 of the second user is a numerical value determined based on the registration item score calculated by the registration item score calculation unit 11 for a plurality of contact information in the phone book information of the second user. . If the registration level L2 of the second user is higher than the registration level L1 of the first user, the correction flag is set. If the registration level L2 of the second user is not higher than the registration level L1 of the first user, the correction flag is reset.

  The registration level determination unit 13 calculates the registration level for a certain user so that the registration level of the user increases when the registration item score obtained from the phone book information of the user tends to be high overall. . Specific calculation methods include, for example, the following. In the first method, the average value of registration item scores obtained from all contact information included in the phone book information of the user is used as the registration level. In the second method, the number of registration item scores obtained from contact information included in the phone book information of the user exceeding a predetermined threshold (for example, 10) is set as the registration level. In the third method, although the registration item score obtained from the contact information included in the user's phone book information exceeds a predetermined threshold (for example, 10), all the contact information included in the user's phone book information is included. The share is the registration level.

  The update score calculation unit 14 is based on a last update time that is a time when one or more registered items of the contact information corresponding to the second user in the phone book information of the first user are last updated. Update score. Specifically, the update score calculation unit 14 reads the score corresponding to the last update time with reference to the score table 16 shown in FIG. 5, and sets the read value as the update score S3. Here, the update score is registered in the score table 16 so that the update score decreases as the elapsed time from the last update time becomes longer. Specifically, the update score is 30 if within one month from the last update time, the update score is 20 if within two months from the last update time, and updated if within three months from the last update time. The score is 10. Therefore, the update score calculation unit 14 calculates the update score so as to decrease the update score as the elapsed time from the last update time becomes longer.

  The AC score calculation unit 15 acquires AC history information in the communication service between the first user and the second user, and calculates an AC score S4 based on the acquired AC history information. Specifically, the exchange score calculation unit 15 determines whether or not there is a mutual friend relationship between the first user and the second user in the SNS, the number of comments regarding the posting in the SNS, and a positive intention regarding the posting of the friend The number of times the “Like” button used for display is pressed, the number of outgoing calls, the number of incoming calls, the call duration, the number of e-mails sent, the number of e-mails received, or communication services such as SNS, telephone or mail The AC score S4 is calculated using the last AC time at which AC was last exchanged.

The familiarity calculation unit 18 calculates the familiarity R of the first user with respect to the second user based on the registration item score S1, the mutual registration score S2, the update score S3, and the AC score S4. As a specific calculation method, for example, when the registration item score weight is f1, the mutual registration score weight is f2, the update score weight is f3, and the AC score weight is f4, the following equation (2) is used. There is a method for calculating the intimacy R.
R = f1 * S1 + f2 * S2 + f3 * S3 + f4 * S4 (2)
Furthermore, the familiarity calculation unit 18 may correct the familiarity R according to the determination result of the registration level determination unit 13. For example, when the registration level L2 of the second user is higher than the registration level L1 of the first user, the product of the mutual registration score S1 ′ for the first user of the second user and its weight coefficient f1 ′ is added. Accordingly, the right side of the equation (2) may be corrected, and the familiarity R may be calculated as in the following equation (3).
R = f1 * S1 + f2 * S2 + f3 * S3 + f4 * S4 + f1 '* S1' (3)
In this correction, intimacy of the second user with respect to the first user may be used instead of the mutual registration score S1 ′.

  Next, the familiarity calculation method of the present embodiment will be described with reference to FIG. FIG. 6 is a flowchart for explaining the affinity calculation method of the present embodiment.

  First, the familiarity calculation unit 18 sets the contact number to an integer i that is one of integers ranging from 1 to N (step S11). Next, the registration item score calculation part 11 extracts the registration item of the contact information i (step S12). And the registration item score calculation part 11 calculates registration item score S1 based on the registration item of the contact information i extracted by step S12 (step S13). Steps S12 and S13 constitute a registration item score calculation step.

  Next, the mutual registration score calculation unit 12 checks whether or not the first user and the second user are in a mutual registration relationship (step S14). And whether the mutual registration score calculation unit 12 has a relationship established when the first user and the second user are in the mutual registration state between the first user and the second user. It is checked whether or not (step S15). And the mutual registration score calculation part 12 calculates the mutual registration score S2 based on the result checked by step S14 and step S15 (step S16). Note that Step S14, Step S15, and Step S16 constitute a mutual registration score calculation step.

  Next, the registration level determination unit 13 calculates the registration level L1 of the first user and the registration level L2 of the second user (step S17). Then, the registration level determination unit 13 determines whether or not the registration level L2 of the second user is higher than the registration level L1 of the first user (step S18). If it is determined in step S18 that the registration level L2 of the second user is greater than the registration level L1 of the first user, the registration level determination unit 13 sets a correction flag (step S19). On the other hand, if it is not determined in step S18 that the registration level L2 of the second user is greater than the registration level L1 of the first user, the registration level determination unit 13 resets the correction flag (step S20).

  Next, the update score calculation unit 14 acquires the last update time of the contact information of the contact number i (step S21). And the update score calculation part 14 calculates update score S3 based on the last update time acquired by step S21 (step S22).

  Next, the AC score calculation unit 15 acquires AC information (step S23). And the alternating current score calculation part 15 calculates alternating current score S4 based on the alternating current information acquired by step S23 (step S24).

  Then, the familiarity calculation unit 18 calculates the familiarity using the registration item score S1, the mutual registration score S2, the update score S3, the AC score S4, and the correction flag (step S25: familiarity calculation step). .

  Then, the closeness calculation unit 18 determines whether or not the closeness calculation has been completed for all the contacts (step S26). If the calculation of intimacy has been completed for all contacts, the process ends. On the other hand, if the calculation of intimacy has not been completed for all contacts, the process returns to step S11 again, and the intimacy is calculated for contacts that have not been calculated.

  As described above, in the familiarity calculation device 10, the registration item score calculation unit 11 includes one or more registration items included in the contact information of the second user registered in the phone book information of the first user. The registration item score concerning the second user is calculated based on the presence or absence, and the mutual registration score calculation unit 12 calculates the mutual registration score based on whether or not the first user and the second user are in the mutual registration state. The closeness calculation unit 18 calculates the closeness of the first user with respect to the second user based on the registration item score and the mutual registration score. Therefore, even when the number of registration items included in the contact information of the second user is small, the mutual registration score based on whether or not the first user and the second user are in the mutual registration state is used. Since the intimacy is calculated, a probable intimacy is calculated.

  In addition, in the closeness calculation unit 18, the mutual registration score calculation unit 12 has a relationship established when the first user and the second user are in the mutual registration state. In the case of being with the user, the intimacy is calculated more accurately in order to give a higher mutual registration score than in the case where there is no such relationship.

  In addition, the intimacy calculation unit 18 corrects the intimacy of the first user for the second user based on at least one of the intimacy of the second user for the first user and the registration item score. Even when the number of items of contact information registered in the phone book information of the user is small, the familiarity is calculated more accurately.

  Further, only when the registration level determination unit 13 determines that the registration level of the second user is higher than the registration level of the first user, the familiarity calculation unit 18 is the parent of the first user with respect to the second user. In order to correct the density, when the number of registration items in the first user's telephone directory is large, the closeness is not corrected and excessive correction of the closeness is prevented.

  Also, the last update time, which is the time when the closeness calculation device 10 last updated one or more registered items in the contact information corresponding to the second user in the phone book information of the first user. The update score calculation unit 14 that calculates the update score based on the update score calculation unit 14, the familiarity calculation unit 18 based on the update score calculated by the update score calculation unit 14, the familiarity of the first user with respect to the second user Since the familiarity is calculated based on the update score even when the number of registration items in the first user's phone book information is small, the familiarity is calculated more accurately.

  Further, since the update score calculation unit 14 calculates the update score so as to decrease the update score as the elapsed time from the last update time becomes longer, the familiarity with the user immediately after the registration item is updated is high. Since it is calculated, the intimacy is calculated more accurately.

  In addition, the registration item score calculation unit 11 calculates the registration item score based not only on the presence / absence of the registration item in the contact information but also on the weighting information corresponding to the type of the registration item. Since the registration item score is calculated by increasing the weighting coefficient for the item, the familiarity is calculated more accurately.

  Further, the registration item score calculation unit 11 is used when the value of the registration item included in the contact information corresponding to the second user is inappropriate, or when the second user is a store or a company, Since the registration item score is calculated to be low when the calculation cannot be performed, it is possible to calculate the familiarity more accurately.

  In addition, the intimacy calculation device 10 further includes an AC score calculation unit 15 that calculates an AC score based on AC history information between the first user and the second user, and the intimacy calculation unit 18 Since the intimacy of the first user with respect to the second user is calculated based on the AC score calculated by the score calculation unit 15, the intimacy is calculated based on the AC history information, and the intimacy is calculated more accurately. Is done.

[Second Embodiment]
FIG. 7 is a block diagram illustrating a functional configuration of the communication terminal 50 including the closeness calculation apparatus 10 according to the second embodiment. The first user uses the communication terminal 50, and the second user uses the communication terminal 51. In the second embodiment, the familiarity calculation device 10 is disposed in the communication terminal 50. In the first embodiment, the phone book database 30 is connected to the server 20, whereas in the second embodiment, the communication terminal 50 and the communication terminal 51 respectively store the phone book database 50a and the phone book database 51a. I have. Each of the communication terminal 50 and the communication terminal 51 can be connected to the server 21 via a network. The hardware configuration of the server 21 is the same as the hardware configuration of the server 20 shown in FIG. 2A, and the hardware configuration of the communication terminal 50 and the communication terminal 51 is the communication terminal shown in FIG. The hardware configuration is the same as 41.

  The functional configuration of the closeness calculation apparatus 10 included in the communication terminal 50 is exactly the same as the functional configuration of the closeness calculation apparatus 10 included in the server 20 according to the first embodiment. The operation is almost the same. However, the mutual registration score calculation unit 12 checks whether or not the contact information of the first user is registered in the second user's phone book information, and the registration level determination unit 13 determines whether the second user's contact information is registered. The operation when the second user's phone book information is used to calculate the registration level is different between the first embodiment and the second embodiment. In such a case, in the first embodiment, the intimacy calculation device 10 makes an inquiry to the telephone directory database 30, whereas in the second embodiment, the intimacy calculation device 10 communicates with the communication terminal via the server 21. An inquiry is made to 51 telephone directory databases 51a.

  The communication terminal 51 including the closeness calculation apparatus 10 according to the second embodiment also has the same effects as the server 20 including the closeness calculation apparatus 10 according to the first embodiment.

  The present invention has been described in detail based on the embodiments. However, the present invention is not limited to the above embodiment, and various modifications can be made without departing from the scope of the invention. For example, in the familiarity calculation device 10, a part or all of the registration level determination unit 13, the update score calculation unit 14, and the AC score calculation unit 15 are omitted, and in the familiarity calculation method described with reference to FIG. Part or all of S24 may be omitted.

In addition, the familiarity calculation unit 18 periodically calculates the familiarity R (t) at a predetermined interval, and when calculating the familiarity R (t), the familiarity R ( t−1), r (t) calculated by the calculation method described in the above embodiment, and a weight f greater than 0 and less than 1, the familiarity R (t) as in the following equation (4) May be calculated.
R (t) = f * R (t-1) + (1-f) * r (t) (4)
In this case, the past familiarity R (t−1) can be reflected in the current familiarity R (t).

  Furthermore, the familiarity calculation unit 18 calculates the average value of the familiarity with the user of each contact information registered in the first user's phone book information, and based on the calculated average value of the familiarity, The intimacy calculation unit 18 may perform calculation for correcting the intimacy for a certain user of the first user.

  DESCRIPTION OF SYMBOLS 10 ... Intimacy calculation apparatus, 11 ... Registration item score calculation part, 12 ... Mutual registration score calculation part, 13 ... Registration level determination part, 14 ... Update score calculation part, 15 ... AC score calculation part, 16 ... Score table, 17 ... Weight table, 18 ... Intimacy calculator, 20, 21 ... Server, 30, 50a, 51a ... Phonebook database, 41, 42, 50, 51 ... Communication terminal.

Claims (10)

Registration item score calculation for calculating the registration item score of the second user based on the presence or absence of one or more registration items included in the contact information of the second user registered in the phone book information of the first user Means,
The contact information of the second user is registered in the phone book information of the first user, and the contact information of the first user is registered in the phone book information of the second user. A mutual registration score calculating means for calculating a mutual registration score based on whether or not there is the first user and the second user;
Familiarity calculation for calculating the familiarity of the first user for the second user based on the registered item score calculated by the registered item score calculating means and the mutual registration score calculated by the mutual registration score calculating means Means,
An intimacy calculation device comprising:   The mutual registration score calculation means is established when the first user and the second user are in the mutual registration state and the first user and the second user are in the mutual registration state. The first user and the second user are in the mutual registration state and the first user and the second user The closeness calculation apparatus according to claim 1, wherein the mutual registration score is calculated so as to give a higher mutual registration score than when there is no relationship between the two users.   The closeness calculating means corrects the closeness of the first user with respect to the second user based on at least one of the closeness of the second user with respect to the first user and a registration item score. The intimacy calculation device according to claim 1 or 2, characterized in that: The familiarity calculation device is configured to determine a registration level of the first user determined based on a registration item score calculated by the registration item score calculation unit for a plurality of contact information in the phone book information of the first user. And the registration level of the second user determined based on the registration item score calculated by the registration item score calculation means for a plurality of contact information in the phone book information of the second user, Registration level determination means for determining whether the registration level of the second user is higher than the registration level of the first user;
When the registration level determination unit determines that the registration level of the second user is higher than the registration level of the first user, the closeness calculation unit determines the second user's registration level with respect to the first user. The familiarity calculation apparatus according to claim 3, wherein the familiarity of the first user with respect to the second user is corrected based on the familiarity. The intimacy calculation device has a last update time that is a time at which one or more registered items of contact information corresponding to the second user in the phone book information of the first user are last updated. An update score calculating means for calculating an update score based on
The intimacy calculation means calculates the intimacy of the first user with respect to the second user based on the update score calculated by the update score calculation means. The intimacy calculation device according to claim 1.   6. The familiarity calculation apparatus according to claim 5, wherein the update score calculation means calculates the update score so as to decrease the update score as the elapsed time from the last update time becomes longer.   The registration item score calculation means is based on the presence / absence of one or more registration items in the contact information corresponding to the second user in the phone book information of the first user and weight information according to the type of the registration item. The familiarity calculation apparatus according to claim 1, wherein a registration item score relating to the second user is calculated.   The registration item score calculation means is configured to output the first item when the value of one or more registration items included in the contact information corresponding to the second user in the phone book information of the first user satisfies a predetermined condition. The registration item score value is calculated to be lower than when all the registration item values included in the contact information corresponding to the second user in the user's telephone directory information do not satisfy a predetermined condition. The closeness calculation apparatus according to any one of 1 to 7. The intimacy calculation device further includes an AC score calculation means for calculating an AC score based on AC history information between the first user and the second user,
The degree of closeness calculation means calculates the closeness of the first user with respect to the second user based on the alternating current score calculated by the alternating current score calculation means. The intimacy calculation device according to claim 1. A familiarity calculation method executed by a familiarity calculation device,
A registration item score for calculating a registration item score for the second user based on the presence or absence of one or more registration items included in the contact information of the second user registered in the phone book information of the first user A calculation step;
The contact information of the second user is registered in the phone book information of the first user, and the contact information of the first user is registered in the phone book information of the second user. A mutual registration score calculating step of calculating a mutual registration score based on whether or not there is the first user and the second user;
The familiarity for calculating the familiarity of the first user for the second user based on the registered item score calculated in the registered item score calculating step and the mutual registration score calculated in the mutual registration score calculating step A calculation step;
Intimacy calculation method comprising.

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