JP2007219903A - Communication terminal device and information presentation method - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a communication terminal device and an information presentation method, preferentially presenting from a content having high relevance to a mail of a transmission target allowing a user oneself to simplify operation for retrieving an attached content from a plurality of contents. <P>SOLUTION: This communication terminal device attaching the content to the email of the transmission target and transmitting it has: a content accumulation means 65 for accumulating the plurality of contents; a keyword extraction means 20 for extracting a first keyword group from the mail; a content retrieval means 60 determining order of presentation of the content on the basis of the first keyword group and a second keyword group accumulated associatively to each the content; and a presentation means 90 for presenting the plurality of contents according to the order. <P>COPYRIGHT: (C)2007,JPO&INPIT

Description

  The present invention relates to a communication terminal device, and more particularly to a communication terminal device capable of storing content such as images and music.

2. Description of the Related Art In recent years, communication terminal devices such as mobile phones and PDAs (Personal Digital Assistance) can store many contents such as images and music as the memory capacity increases. Under such circumstances, when a user attaches content to an e-mail or the like and sends it, it is not easy to find a desired content from many stored contents.
When a conventional electronic mail apparatus attaches content to an email created by the user, the user extracts the keyword from the email and presents the content corresponding to the keyword as an attachment candidate so that the user himself can search for the content. It can be simplified. (For example, refer to Patent Document 1).
JP 2004-334305 A

However, in the above conventional apparatus, when a plurality of keywords are extracted from an email, the content corresponding to each keyword is presented as an attachment candidate, so unnecessary contents that are not intended from the entire contents such as the title and text included in the email May be presented, and there is a problem that the operation when the user selects desired content becomes complicated.
The present invention has been made in order to solve the conventional problems, and a communication terminal device that can preferentially present content with high priority to content such as a title and text included in an email, and An object is to provide an information presentation method.

The communication terminal device according to the present invention is a communication terminal device that transmits a content attached to a mail to be transmitted, the keyword extracting means for extracting a first keyword group from the mail, the content, and the content Content storage means for storing a plurality of second keyword groups, content search means for determining the order in which the contents are presented based on the first keyword group and the second keyword group; Presenting means for presenting a plurality of contents according to the order.
With this configuration, it is possible to preferentially present content having the second keyword group that is highly relevant to the first keyword group extracted from the email to be transmitted, and the user himself / herself searches for the content. Can be simplified and convenience can be improved.

The communication terminal device of the present invention further includes keyword classification means for determining a classification type of each keyword belonging to the first keyword group, and the content search means includes a keyword belonging to the first keyword group, And a keyword belonging to the second keyword group for each classification type to determine the order in which the content is presented.
With this configuration, keywords belonging to a common classification type between the first keyword group and the second keyword group (for example, when the common classification type is a person, an email creator and a content creator, for example) are compared. By doing so, it is possible to identify highly relevant content for the email to be transmitted.

In the communication terminal device according to the present invention, the content search unit may calculate a score calculated by comparing the keyword belonging to the first keyword group and the keyword belonging to the second keyword group for each classification type. The order is determined based on the total.
With this configuration, it is possible to preferentially present the content having a high total score with respect to the email to be transmitted, simplify the operation of searching for the content by the user himself, and improve convenience.

Moreover, the communication terminal device of the present invention has a configuration in which the content search means calculates the score using a coefficient set for each classification type.
With this configuration, when comparing a keyword belonging to the first keyword group and a keyword belonging to the second keyword group, weighting can be performed for each classification type, Highly specific content can be identified.

Moreover, the communication terminal device of the present invention has a configuration in which the presenting unit presents the plurality of contents in descending order of the total score.
With this configuration, it is possible to preferentially present the content having a high total score with respect to the email to be transmitted, simplify the operation of searching for the content by the user himself, and improve convenience.

The communication terminal device of the present invention further includes a time measuring unit that manages date and time information indicating the current date and time, and a position information acquiring unit that acquires position information indicating the current location, and the keyword extracting unit includes the date and time Information and the position information are acquired and extracted as the first keyword group.
With this configuration, by comparing the creation date and creation location of the email to be sent with the creation date and creation location of each content, it is possible to identify highly relevant content for the email to be sent. .

The information presentation method of the present invention is an information presentation method for presenting a plurality of contents as candidates to be attached to an email to be transmitted, the keyword extraction step for extracting a first keyword group from the email, and the first A content search step for determining an order of presenting the content based on one keyword group and a second keyword group accumulated in association with each content, and a presentation step for presenting a plurality of content according to the order And having.
By this method, it is possible to preferentially present content having the second keyword group that is highly relevant to the first keyword group extracted from the mail to be transmitted, and the user himself / herself searches for the content. Can be simplified and convenience can be improved.

The information presentation method of the present invention further includes a keyword classification step for determining a classification type of each keyword belonging to the first keyword group, wherein the content search step includes a keyword belonging to the first keyword group, The keywords belonging to the second keyword group are compared for each classification type, and the order in which the contents are presented is determined.
By this method, the keywords belonging to the common classification type of the first keyword group and the second keyword group (for example, when the common classification type is a person, the mail creator and the content creator, etc.) are compared. By doing so, it is possible to identify highly relevant content for the email to be transmitted.

In the information presentation method of the present invention, the content search step calculates a score calculated by comparing a keyword belonging to the first keyword group and a keyword belonging to the second keyword group for each classification type. The order is determined based on the total.
By this method, it is possible to preferentially present the content having a high total score with respect to the email to be transmitted, simplifying the operation for the user himself to search for the content, and improving the convenience.

In the information presentation method of the present invention, the content search step calculates the score using a coefficient set for each classification type.
By this method, when comparing the keyword belonging to the first keyword group and the keyword belonging to the second keyword group, weighting can be performed for each classification type, Highly specific content can be identified.

In the information presentation method of the present invention, the presenting step presents the plurality of contents in descending order of the total score.
By this method, it is possible to preferentially present the content having a high total score with respect to the email to be transmitted, simplifying the operation for the user himself to search for the content, and improving the convenience.

The information presentation method of the present invention further includes a time measuring step for managing date information indicating the current date and time, and a position information acquiring step for acquiring position information indicating the current location, wherein the keyword extraction step includes the date and time. Information and the position information are acquired and extracted as the first keyword group.
By this method, by comparing the creation date and location of the email to be sent with the creation date and location of each content, it is possible to identify highly relevant content for the email to be sent. .

  The present invention can provide a communication terminal device and an information presentation method that can preferentially present highly relevant content with respect to the entire contents such as a title and text included in an email.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings. Note that in all the drawings for explaining the embodiments, the same reference numerals are given to the same components, and duplicate explanations are omitted.

(Embodiment 1)
The first embodiment of the present invention will be described using an example in which the communication terminal device is a mobile phone.
FIG. 1 is a block diagram showing a configuration of mobile phone 1 according to Embodiment 1 of the present invention.
In FIG. 1, the mobile phone 1 includes a mail creating unit 10, a keyword extracting unit 20, a time measuring unit 30, a position information obtaining unit 40, a keyword classification unit 50, a classification information storage unit 55, a content search unit 60, a content storage unit 65, The content selection unit 70, the input unit 80, the presentation unit 90, and the transmission unit 100 are configured.

  The mail creating means 10 receives the contents of the mail input by the user, and stores a transmission target mail 101 including a transmission destination address, a title, a text, and the like. Further, the mail creation means 10 outputs the transmission target mail 101 to the keyword extraction means 20 when attaching content to the transmission target mail 101. Further, the mail creation means 10 outputs the attached mail 102 in which the attached content 702 is added to the transmission target mail 101 to the transmission means 100.

  The keyword extraction unit 20 divides a sentence into words by phrase analysis for the transmission target mail 101 output from the mail creation unit 10, and then divides the sentence into nouns, particles, pictograms, and the like to extract nouns and pictograms. Further, the keyword extracting unit 20 acquires date / time information 301 indicating the current date / time from the timing unit 30, and position information 401 indicating the current location from the position information acquiring unit 40. Further, the keyword extraction unit 20 outputs the nouns and pictograms extracted from the transmission target mail 101, the date / time information 301, and the position information 401 to the keyword classification unit 50 as the keywords 201.

  The time measuring means 30 measures the current date and time, and when receiving an acquisition request from the keyword extracting means 20, outputs the current date and time as the date and time information 301.

  When receiving the acquisition request from the keyword extraction unit 20, the location information acquisition unit 40 specifies the current location of the mobile phone 1 by a navigation message received from a GPS (Global Positioning System) satellite (not shown), and outputs the location information 401. To do. Here, as an example, the position information 401 is described as information indicating a prefecture and a city, but may be information indicating latitude and longitude.

  The keyword classification unit 50 refers to the classification information storage unit 55 and acquires each of the classification types 551 corresponding to the keywords 201. Further, the keyword classification unit 50 outputs to the content search unit 60 a first keyword group 501 (hereinafter referred to as a mail keyword group) in which the keyword 201 is associated with the classification type 551 acquired from the classification information storage unit 55.

  The classification information accumulation unit 55 accumulates classification types 551 (indicating categories such as date, place, person, etc.) and keywords belonging to each classification type 551. For example, the classification information storage means 55 stores keywords indicating dates such as “today” and “tomorrow” as belonging to the classification information “date”. Similarly, keywords indicating persons such as “Taro Yamada” and “Jiro Suzuki” are accumulated as belonging to the classification information “person”.

  The content search unit 60 refers to the content storage unit 65 and acquires a second keyword group 651 (hereinafter referred to as a content keyword group) stored in association with each content. Further, the content search means 60 compares the contents of the keywords belonging to the mail keyword group 501 and the keywords belonging to the content keyword group 651 for each classification type, and calculates the degree of matching (hereinafter referred to as a score) in advance. Calculate using a table. In addition, the content search unit 60 acquires the content 652 stored in the content storage unit 65 in descending order of the total score calculated using the calculation table. Further, the content search unit 60 outputs the content 652 and the order of acquisition of the content 652 (hereinafter referred to as candidate rank) to the content selection unit 70 as search result information 601.

  The content storage unit 65 stores a plurality of contents such as images. It is assumed that each content has a classification type 551 such as date / time, place, and person, and a keyword belonging to the classification type 551 added in advance as a content keyword group 651 and accumulated.

  The content selection unit 70 outputs candidate list information 701 in which the content 652 is arranged in a list format from the top in accordance with the candidate rank included in the search result information 601 received from the content search unit 60 to the presentation unit 90. Thereby, it is possible to preferentially present the highly relevant content to the transmission target mail 101 from among the plurality of contents stored in the content storage unit 65. Further, the content selection unit 70 outputs at least one content from the plurality of contents as the attached content 702 to the mail creation unit 10 based on the selection instruction 801 input from the input unit 80.

  The input unit 80 is an input device such as a button or a mouse, detects an operation input, and outputs a selection instruction 801 to the content selection unit 70.

  The presentation unit 90 is an output device such as a display, and displays a content list according to the candidate list information 701 output from the content selection unit 70.

  The transmission unit 100 performs wireless communication with a plurality of base stations (not shown) installed as a rooftop of a building, a radio tower, or the like, and transmits the attached mail 102 output from the mail creation unit 10.

  FIG. 2 is a diagram showing the classification types 551 stored in the classification information storage unit 55 and the keywords 201 belonging to each classification type 551 in Embodiment 1 of the present invention.

  The classification information storage means 55 stores the classification type 551 and the keywords 201 belonging to each classification type 551 as one record in the table T21.

  The record R21 indicates the keyword 201 belonging to the classification type 551 “date and time”. Here, as an example, a phrase indicating the date / time information 301 such as “XX year”, “XX month”, or “XX day” or a phrase such as “Yesterday”, “Today” or “Tomorrow” is classified. It is associated as a keyword 201 belonging to the type 551 “date and time”.

  The record R22 indicates the keyword 201 belonging to the classification type 551 “location”. Here, as an example, phrases indicating location information 401 such as “XX prefecture”, “XXX city”, “XX town”, “XX country club”, “XX beach”, “△△ dome” And the like are associated as keywords 201 belonging to the classification type 551 “location”.

  The record R23 indicates the keyword 201 belonging to the classification type 551 “person”. Here, as an example, phrases indicating person names such as “Taro Matsushita” and “Jiro Suzuki” are associated as keywords 201 belonging to the classification type 551 “person”.

  The record R24 indicates the keyword 201 belonging to the classification type 551 “landscape”. As an example, words such as “sea”, “mountain”, and “night view” are associated as keywords 201 belonging to the classification type 551 “landscape”.

  The record R25 indicates the keyword 201 belonging to the classification type 551 “animal”. Here, as an example, phrases indicating animal names such as “dog” and “cat” are associated as keywords 201 belonging to the classification type 551 “animal”.

  The record R26 indicates the keyword 201 belonging to the classification type 551 “object”. Here, as an example, a phrase indicating a dish name such as “okonomiyaki” or “sunflower” or a plant name is associated with the keyword 201 belonging to the classification type 551 “object”.

  The record R27 indicates the keyword 201 belonging to the classification type 551 “other characters”. In this example, phrases such as “beach volleyball” and “baseball” are associated as keywords 201 belonging to the classification type 551 “other characters”. It should be noted that a phrase indicating a telephone number, a URL, or the like may be stored in association with the classification type 551 “other characters”.

  The record R28 indicates the keyword 201 belonging to the classification type 551 “emotion”. Here, as an example, types of emotions such as “joy (strong)” and “sadness (weak)” and pictograms indicating the strength are associated as keywords 201 belonging to the classification type 551 “emotion”. Yes.

  FIG. 3 is a diagram showing the contents of the three contents stored in the content storage means 65 in Embodiment 1 of the present invention.

FIG. 3A is a diagram showing the content of the content C31 stored in the content storage unit 65.
The content C31 shows that the person H31 “Taro Matsushita” is playing golf at a golf course where mountains can be seen.
FIG. 3B is a diagram showing the contents of the content C32 stored in the content storage unit 65.
The content C32 shows that a person H32 “Jiro Suzuki” and a person H33 “Saburo Tanaka” are playing beach volleyball on a sandy beach.
FIG. 3C is a diagram showing the contents of the content C33 stored in the content storage unit 65.
The content C33 shows that the person H31 “Taro Matsushita” is eating okonomiyaki.

  FIG. 4 is a diagram showing the contents of the content keyword groups CKW41 to CKW43 previously associated with the contents C31 to C33 stored in the content storage unit 65 according to the first embodiment of the present invention. Here, it is assumed that each content keyword group stores a classification type 551 and keywords belonging to the classification type 551 as one record.

  FIG. 4A is a diagram showing the contents of the content keyword group CKW41 associated with the content C31 in the first embodiment of the present invention.

  A record R411 indicates keywords belonging to the classification type “date and time”. Here, as an example, assuming that the content C31 is created on May 15, 2005, “May 15, 2005” is used as a keyword.

  A record R412 indicates a keyword belonging to the classification type “location”. Here, as an example, it is assumed that the content C31 is created in XX country club (XX prefecture △ city XX town), and “XX country club (XX prefecture △ city xx town)” is used as a keyword. Yes.

  A record R413 indicates a keyword belonging to the classification type “person”. Here, as an example, the person H31 “Taro Matsushita” shown in the content C31 is used as a keyword.

  A record R414 indicates a keyword belonging to the classification type “landscape”. Here, as an example, the scenery “mountain” in the content C31 is used as a keyword.

  A record R415 indicates a keyword belonging to the classification type “animal”. Here, “none” is used as a keyword on the assumption that animals other than a person are not shown in the content C31.

  A record R416 indicates a keyword belonging to the classification type “object”. Here, as an example, the object “golf club” shown in the content C31 is used as a keyword.

  A record R417 indicates a keyword belonging to the classification type “other characters”. Here, it is assumed that no character is shown in the content C31, and “none” is used as a keyword.

  A record R418 indicates a keyword belonging to the classification type “emotion”. Here, “none” is used as a keyword because it is not a content that can read the type of emotions of the main person H31 shown in the content C31.

  FIG. 4B is a diagram showing the contents of the content keyword group CKW42 associated with the content C32 in the first embodiment of the present invention.

  Records R421 to 428 indicate keywords belonging to each classification type. Specifically, “Date and time” is “August 3, 2005”, “Location” is “XX beach (△△ prefecture XX city XX town)”, “Person” is “Jiro Suzuki, Saburo Tanaka” “Sea” belongs to “Landscape”, “None” to “Animal”, “Ball” to “Object”, “None” to “Other characters”, and “Fun (strong)” to “Emotion”.

  FIG. 4C is a diagram showing the contents of the content keyword group CKW43 that is added in advance as metadata to the content C33 according to Embodiment 1 of the present invention.

  Records R431 to 438 indicate keywords belonging to each classification type. Specifically, “August 3, 2005” for “date and time”, “△△ prefecture XX city □□ town” for “location”, “Taro Matsushita” for “person”, “none” for “landscape” "None" belongs to "Animal", "Okonomiyaki" belongs to "Object", "None" belongs to "Other characters", and "Joy (strong)" belongs to "Emotion".

  FIG. 5 is a diagram showing a table in which the content search unit 60 according to Embodiment 1 of the present invention compares the contents of the mail keyword group 501 and the content keyword group 651 and calculates a score.

  In the table T51, for each classification type included in the mail keyword group 501 and the content keyword group 651, a coefficient indicating weight and a three-stage reference indicating the degree of matching of the keyword contents are preset as one record. Yes.

  The content search means 60 is obtained by using the table T51 and satisfying a coefficient (either 5, 3, 2 or 1) indicating the weight set for each classification type and any one of the three levels of criteria. The score multiplied by the point (either 5, 3 or 0) is calculated. Then, the content search means 60 calculates a total value obtained by adding the scores calculated for all the classification types.

  The record R51 indicates the coefficient of the classification type “date and time” and the contents of the three levels of criteria. The coefficient of the classification type “date and time” is set to “5”. For the classification type “date and time”, when the image creation date included in the content keyword group 651 matches the email creation date included in the email keyword group 501, “5” is set as the point. Further, when the image creation date is from the day before the email creation date to 3 days before, “3” is set as the point. If the image creation date is other than the above, such as 4 days before the email creation date, “0” is set for the point.

  A record R52 indicates the coefficient of the classification type “location” and the contents of the three-stage criteria. The coefficient of the classification type “place” is set to “3”. For the classification type “location”, when the location name or town / village included in the content keyword group 651 matches the location name / town / village included in the mail keyword group 501, “5” is set for the point. Further, if the place name and the town / village do not match, but the city / city matches, “3” is set for the point. In addition, “0” is set for the point in cases other than the above, such as the case where the place name, the town, and the city do not match, but the prefectures match. Here, it is determined whether or not they match according to the place name or the town or village, but points may be given according to the distance calculated from the latitude and longitude of each other (for example, each other If the location is within a radius of 5 km, a point “5” is given, and if the location is within a radius of 30 km, a point “3” is given).

  The record R53 indicates the coefficient of the classification type “person” and the contents of the three-stage criteria. The coefficient of the classification type “person” is set to “5”. For the classification type “person”, when the person name included in the content keyword group 651 matches the person name included in the mail keyword group 501, “5” is set for the point. If the person name does not match but the person name is included in the content keyword group 651, “3” is set for the point. In other cases such as when the content keyword group 651 does not include a person name, “0” is set for the point.

  The record R54 indicates the coefficient of the classification type “landscape” and the contents of the three levels of criteria. The coefficient of the classification type “landscape” is set to “1”. For the classification type “landscape”, when the scenery name (sea, mountain, etc.) included in the content keyword group 651 matches the scenery name included in the mail keyword group 501, “5” is set as the point. . If the landscape name does not match but the content keyword group 651 includes a landscape name, “3” is set for the point. In other cases such as when the content keyword group 651 does not include a landscape name, “0” is set for the point.

  The record R55 indicates the coefficient of the classification type “animal” and the contents of the three-stage criteria. The coefficient of the classification type “animal” is set to “3”. For the classification type “animal”, if the animal name (dog, cat, etc.) included in the content keyword group 651 matches the animal name included in the mail keyword group 501, “5” is set for the point. . Further, although the animal names do not match, when the content keyword group 651 includes an animal name, “3” is set as the point. In other cases, such as when the animal name is not included in the content keyword group 651, “0” is set for the point.

  A record R56 indicates the coefficient of the classification type “object” and the contents of the three-stage reference. The coefficient of the classification type “object” is set to “2”. For the classification type “object”, when the object name (cooking name, plant name, etc.) included in the content keyword group 651 matches the object name included in the mail keyword group 501, “5” is set for the point. ing. If the object name does not match but the content keyword group 651 includes the object name, “3” is set for the point. In other cases such as when the content keyword group 651 does not include an object name, “0” is set for the point.

  A record R57 indicates the coefficient of the classification type “other characters” and the contents of the three-stage criteria. The coefficient of the classification type “other characters” is set to “2”. For the classification type “other characters”, when the character string included in the content keyword group 651 and the character string included in the mail keyword group 501 completely match (for example, “Aiueo” and “Aiueo”, etc.) “5” is set. Further, when the character strings match each other at 50% or more and less than 100% (for example, “Aiueo” and “Akiukeo”), “3” is set as the point. In other cases such as when the content keyword group 651 does not include characters, “0” is set for the point.

  The record R58 indicates the coefficient of the classification type “emotion” and the contents of the three levels of criteria. The coefficient of the classification type “emotion” is set to “1”. In addition, regarding the classification type “emotion”, when the type and strength of emotions included in the content keyword group 651 and the type and intensity of emotions included in the email keyword group 501 coincide with each other, “ 5 "is set. In addition, although the intensity of emotions does not match, when the types match, “3” is set as the point. In other cases, such as when the types of emotions do not match, “0” is set for the point.

  FIG. 6 and FIG. 7 are flowcharts showing a processing procedure when content is attached to an e-mail with the mobile phone 1 according to the first embodiment of the present invention.

  First, the e-mail creating means 10 sends the e-mail to be sent to the keyword extracting means 20 based on an operation for attaching content to the e-mail to be sent 101 for which the destination address, title, text, etc. have already been input. 101 is output.

  Next, the keyword extraction unit 20 divides the destination address, title, and body of the transmission target mail 101 output from the mail creation unit 10 into words by phrase analysis, and then divides them into nouns, particles, pictograms, etc. And pictograms are extracted (step S61).

  Next, the keyword extracting unit 20 outputs an acquisition request to the time measuring unit 30, and acquires date information 301 indicating the current date (step S62).

  Next, the keyword extraction means 20 outputs an acquisition request to the position information acquisition means 40, and acquires position information 401 indicating the current location (step S63).

  Next, the keyword extraction unit 20 outputs the nouns and pictograms extracted from the transmission target mail 101, the date / time information 301, and the position information 401 to the keyword classification unit 50 as the keywords 201.

  Next, the keyword classification unit 50 refers to the classification information storage unit 55 and acquires the classification types 551 corresponding to the keywords 201 (nouns, pictograms, date / time information 301, and position information 401) received from the keyword extraction unit 20, respectively. (Step S64).

  Next, the keyword classification unit 50 outputs the mail keyword group 501 in which the keyword 201 is associated with the classification type 551 acquired from the classification information storage unit 55 to the content search unit 60.

  Next, the content search unit 60 refers to the content storage unit 65 and determines whether or not the content is stored (step S65).

  When content is stored in the content storage unit 65 (Yes in step S65), the content search unit 60 acquires a content keyword group 651 associated with the content (step S66).

  On the other hand, if no content is stored in the content storage unit 65 (No in step S65), the content cannot be attached to the mail, and the process is terminated.

  Next, the content search means 60 compares the mail keyword group 501 and the content keyword group 651, and calculates a score using the calculation table shown in FIG. 5 (step S67).

  Next, the content search unit 60 refers to the content storage unit 65 and determines whether or not a score has been calculated for the content keyword group 651 associated with all the stored content (step S68).

  When the score is not calculated for the content keyword group 651 associated with all the contents (step S68, No), the content search unit 60 similarly acquires the content keyword group 651 for the content for which the score is not calculated. (Step S66), a score is calculated (Step S67).

  On the other hand, when the score is calculated for the content keyword group 651 associated with all the contents (step S68, Yes), the content search unit 60 uses the content 652 stored in the content storage unit 65 in the calculation table. Are obtained in descending order (step S69).

  Next, the content search unit 60 outputs search result information 601 in which the content 652 is associated with the candidate rank to the content selection unit 70.

  Next, the content selection unit 70 outputs candidate list information 701 in which the content 652 is arranged from the top in a list format to the presentation unit 90 in accordance with the candidate rank included in the search result information 601 output from the content search unit 60 ( Step S70).

  Next, the content selection unit 70 determines whether or not the content to be attached to the transmission target mail 101 has been determined based on the selection instruction 801 from the input unit 80 (step S71).

  If the content to be attached to the transmission target mail 101 has not been determined (No at Step S71), the process at Step S71 is repeated.

  On the other hand, when the content to be attached to the transmission target mail 101 is determined (step S71, Yes), the selected content is output to the mail creating means 10 as the attached content 702, and the process ends.

  FIG. 8 is a diagram illustrating an example of the content of the transmission target mail 101 in which the transmission destination address, the title, and the text stored in the mail generation unit 10 according to the first embodiment are input. Here, it is assumed that names registered in the telephone directory corresponding to the transmission source address and the transmission destination address are displayed in the transmission source and transmission destination fields.

  The target mail 101 is “Taro Matsushita” as the sender (From), “Shiro Sato” as the destination (To), “I went to the sea” as the title (Sub), “Today, (New line) After swimming in the sea, playing beach volleyball and playing outside, Jiro Suzuki was too sunburned, and it was hard. ○ ○ If you eat okonomiyaki near the beach, it was very delicious (pictogram “joy (strong)”), it is recommended. "Is input respectively.

  Here, the processing procedure of the mobile phone 1 when attaching content to the transmission target mail 101 shown in FIG. 8 will be described using the flowcharts shown in FIGS. 6 and 7. 2 and the keywords 201 belonging to each classification type 551 are stored in the classification information storage means 55, and the contents C31 to C33 and the contents keyword groups CKW41 to CKW43 shown in FIGS. Is stored in the content storage unit 65.

  First, the mail creation unit 10 outputs the transmission target mail 101 to the keyword extraction unit 20 based on an operation for attaching content to the transmission target mail 101.

  Next, the keyword extraction unit 20 divides the transmission target mail 101 received from the mail generation unit 10 into words by phrase analysis, and then extracts nouns and pictograms divided into nouns, particles, pictograms, and the like (step S61). .

  FIG. 9 is a diagram showing the contents of the result of extracting the nouns and pictograms from the transmission target mail 101 shown in FIG. 8 by the keyword extracting means 20 in the first embodiment.

  The keyword extraction means 20 uses the keyword 201 as “Taro Matsushita, Shiro Sato, Umi, today, XX beach, beach volleyball, outside, Jiro Suzuki, Okonomiyaki, (pictogram“ joy (strong) ”)” as the keyword 201. Extract.

  Next, the keyword extracting unit 20 outputs an acquisition request to the time measuring unit 30, and acquires date information 301 indicating the current date (step S62). Here, as an example, it is assumed that the date / time information 301 “August 3, 2005” has been acquired.

  Next, the keyword extraction means 20 outputs an acquisition request to the position information acquisition means 40, and acquires position information 401 indicating the current location (step S63). Here, as an example, it is assumed that position information 401 “ΔΔ prefecture XX city □□ town” is acquired.

  Next, the keyword extraction unit 20 outputs the nouns and pictograms extracted from the transmission target mail 101, the date / time information 301, and the position information 401 to the keyword classification unit 50 as the keywords 201.

  FIG. 10 is a diagram showing the contents of the keyword 201 output by the keyword extraction unit 20 to the keyword classification unit 50 according to Embodiment 1 of the present invention.

  The keyword extraction means 20 includes date and time information 301 (mail creation date “August 3, 2005”) acquired from the time measuring means 30 and position information 401 (mail creation location “ΔΔ prefecture xx” acquired from the position information acquisition means 40. City □□ town ”) is added to the keyword 201 shown in FIG.

  Next, the keyword classification unit 50 refers to the classification information storage unit 55 and acquires the classification types 551 corresponding to the keywords 201 (nouns, pictograms, date / time information 301, and position information 401) received from the keyword extraction unit 20, respectively. (Step S64).

  For example, for “Taro Matsushita” included in the keyword 201, the classification type 551 “person” is acquired with reference to the classification information storage unit 55 shown in FIG. For “XX beach” included in the keyword 201, the classification information storage unit 55 is referred to, and the classification type 551 “location” is acquired (step S64).

  FIG. 11 is a diagram showing the contents of the mail keyword group MKW111 in which the keyword classification unit 50 according to Embodiment 1 of the present invention associates the keyword 201 shown in FIG. 10 with the classification type 551.

  As keywords belonging to each category, the category type “date and time” is “August 3, 2005, today”, the category type “location” is “△△ prefecture XX city □□ town, XX beach”, the category type “ "Person" is "Taro Matsushita, Shiro Sato, Jiro Suzuki", classification is "Scenery" is "Sea", classification is "Animal" is "None", classification is "Object" is Okonomiyaki, and classification is "Other characters" “Beach Volleyball, Outside” and “Joy (Strong)” belong to the classification type “Emotion”.

  Next, the keyword classification means 50 outputs the contents shown in FIG. 11 to the content search means 60 as the mail keyword group MKW111.

  Next, the content search unit 60 refers to the content storage unit 65 and determines whether or not the content is stored (step S65).

  Here, since the contents C31 to C33 are stored in the content storage unit 65 (step S65, Yes), the content search unit 60 first acquires the content keyword group CKW41 associated with the content C31 (step S66). .

  Next, the content search means 60 compares the mail keyword group MKW111 and the content keyword group CKW41, and calculates a score using the calculation table shown in FIG. 5 (step S67).

  Specifically, first, the content search means 60 belongs to the mail creation date “August 3, 2005” belonging to the classification type “date and time” of the mail keyword group MKW111 and the classification type “date and time” of the content keyword group CKW41. It is determined whether the image creation date “May 15, 2005” matches. Here, since the two do not match, the content search means 60 stores the value “0” obtained by multiplying the coefficient “5” of the classification type “date and time” and the point “0” in the score SCR1.

  Next, the content search means 60 includes a place name or a town / village “ΔΔ prefecture XX city □□ town, XX beach” belonging to the classification type “place” of the mail keyword group MKW111 and a classification type “of the content keyword group CKW41”. It is determined whether or not the place name belonging to the place or the town / village “XX country club (XX prefecture ΔΔ city XX town)” matches. Here, since the two do not match, the content search means 60 adds the value “0” obtained by multiplying the coefficient “3” of the classification type “place” and the point “0” to the score SCR1 and stores it.

  Next, the content search means 60 matches the person name “Taro Matsushita” belonging to the classification type “person” of the mail keyword group MKW111 and the person name “Taro Matsushita” belonging to the classification type “person” of the content keyword group CKW41. Judge whether to do. Here, since the two match, the content search means 60 adds the value “25” obtained by multiplying the coefficient “5” of the classification type “person” and the point “5” to the score SCR1 and stores it.

  Next, the content search means 60 matches the scenery name “sea” belonging to the classification type “landscape” of the mail keyword group MKW111 and the scenery name “mountain” belonging to the classification type “landscape” of the content keyword group CKW41. Judge whether or not. Here, although the two do not match, the content keyword group CKW41 includes the landscape name, so the content search means 60 multiplies the coefficient “1” of the classification type “landscape” and the point “3”. The value “3” is added to the score SCR1 and stored.

  Next, the content search means 60 does not have an animal name that belongs to the classification type “animal” of the mail keyword group MKW111, and there is no animal name that belongs to the classification type “animal” of the content keyword group CKW41. A value “0” obtained by multiplying the coefficient “3” of the classification type “animal” and the point “0” is added to the score SCR1 and stored.

  Next, the content search means 60 matches the object name “okonomiyaki” belonging to the classification type “object” of the mail keyword group MKW111 and the object name “golf club” belonging to the classification type “object” of the content keyword group CKW41. It is determined whether or not. Here, the two do not match, but since the object name is included in the content keyword group CKW41, the content search means 60 multiplies the coefficient “2” of the classification type “object” and the point “3”. The value “6” is added to the score SCR1 and stored.

  Next, the content search means 60 uses the characters “beach volleyball, outside, return” belonging to the classification type “other characters” of the mail keyword group MKW111 and the characters “none” belonging to the classification type “other characters” of the content keyword group CKW41. Whether or not matches. Here, since there is no character in the content keyword group CKW41, the content search means 60 sets a value “0” obtained by multiplying the coefficient “2” of the classification type “other characters” and the point “0” in the score SCR1. Add and store.

  Next, the content search means 60 belongs to the category type “emotion” of the content keyword group CKW41 and the kind and intensity “joy (strong)” belonging to the category type “emotion” of the mail keyword group MKW111 and the strength “joy (strong)”. It is determined whether or not the type of emotion and emotion and its strength “none” match. Here, since the two do not match, the content search means 60 adds the value “0” obtained by multiplying the coefficient “1” of the classification type “emotion” and the point “0” to the score SCR1 and stores it.

  By the above processing, the content search means 60 calculates and stores the score SCR1 “34” between the mail keyword group MKW111 and the content keyword group CKW41 of the content C31.

  Next, the content search unit 60 refers to the content storage unit 65, and determines whether or not the total score has been calculated for the content keyword group 651 of all the stored content (step S68).

  Here, since the total score for the content keyword group 651 of the contents C32 and C33 is not calculated (step S68, No), the content search unit 60 similarly applies the content keyword for the content for which the total score is not calculated. The group 651 is acquired (step S66), and the total score is calculated (step S67).

  For the content keywords CKW42 and CKW43 of the contents C32 and C33, since the total score is calculated by the same procedure as that for the contents C31, a specific description is omitted here. “76” is calculated as the score SCR2, and “80” is calculated as the score SCR3 of the content C33.

  Next, when the total score is calculated for the content keyword group 651 of all the contents (step S68, Yes), the content search unit 60 acquires the contents in descending order of the total score (step S69).

  Here, the content C33 having the highest score, the content C32 having the next highest score, and the content C31 having the next highest score are acquired in the order (step S69).

  Next, the content search unit 60 outputs the search result information 601 in which the contents C31 to C33 are associated with the candidate ranks to the content selection unit 70.

  FIG. 12 is a diagram showing the contents of the search result information 601 output from the content search unit 60 to the content selection unit 70 according to Embodiment 1 of the present invention.

  Here, the content “C33” is associated with the candidate rank “1”, the content “C32” is associated with the candidate rank “2”, and the content “C31” is associated with the candidate rank “3”.

  Next, the content selection unit 70 presents candidate list information 701 in which content C33, content C32, and content C31 are arranged from the top in a list format according to the candidate rank included in the search result information 601 output from the content search unit 60. It outputs to the means 90 (step S70).

  FIG. 13 is a diagram showing an example of content displayed by the presentation unit 90 according to the candidate list information 701 in Embodiment 1 of the present invention.

The presenting unit 90 displays a list in which the content C33, the content C32, and the content C31 are arranged from the top of the screen in accordance with the candidate order included in the candidate list information 701. Here, from the top of the screen, the contents of the content C33 with the candidate ranking “1”, the details of the content C32 with the candidate ranking “2”, and the details of the content C31 with the candidate ranking “3” are displayed.
As a result, content that is highly relevant to the content of the transmission target mail 101 is arranged with priority from the top of the screen, whereby the user can simplify the operation of searching for content. In the first embodiment of the present invention, the case where the three contents C31 to C33 are stored in the content storage unit 65 has been described. However, if a large amount of content is stored, the convenience is further improved.

  Next, when the content to be attached to the transmission target mail 101 is determined based on the selection instruction 801 from the input unit 80 (Yes in step S71), the content selection unit 70 sets the selected content as the attached content 702. The message is output to the mail creating means 10 and the process is terminated.

  In the first embodiment, the content selected by the content selection unit 70 is attached to the transmission target mail 101. However, a plurality of contents selected by the content selection unit 70 are automatically combined as one content. Or a frame-by-frame video may be created automatically. Further, content up to a specific candidate rank may be automatically combined as one content, or a frame-by-frame moving image may be automatically created. Thereby, when synthesizing contents, it is possible to simplify an operation of the user himself / herself searching for a plurality of contents highly relevant to the contents of the transmission target mail 101.

  In the first embodiment, the keyword 201 is extracted from the transmission target mail 101. However, when replying, a mail keyword group may be extracted from the previously received mail.

  As described above, according to the mobile phone 1 according to the first embodiment, since a highly relevant content is preferentially presented with respect to a mail to be transmitted, an operation for the user himself / herself to search for the content is simplified. , Can improve convenience.

  As described above, the communication terminal device and the information presentation method according to the present invention preferentially present content with high relevance to the transmission target mail, so that the user himself / herself searches for the content is simplified. It is useful as a mobile phone or the like that has the effect of being able to be attached and that attaches content such as images and music to mail.

1 is a block diagram showing a configuration of a mobile phone 1 according to Embodiment 1 of the present invention. The figure which shows the content of the classification information in Embodiment 1 of this invention The figure which shows the content of the contents C31-C33 in Embodiment 1 of this invention The figure which shows the content of the content keyword groups CKW41-CKW43 in Embodiment 1 of this invention. The figure which shows the table which calculates the score in Embodiment 1 of this invention The flowchart which shows the process sequence when attaching the content to mail with the mobile telephone 1 in Embodiment 1 of this invention. The flowchart which shows the process sequence when attaching the content to mail with the mobile telephone 1 in Embodiment 1 of this invention. The figure which shows the content of the mail 101 for transmission in this Embodiment 1. The figure which shows the content of the result of having extracted the noun and the pictograph by the keyword extraction means 20 in this Embodiment 1. The figure which shows the content of the keyword 201 which the keyword extraction means 20 in Embodiment 1 of this invention outputs to the keyword classification means 50 The figure which shows the content of the mail keyword group MKW111 in Embodiment 1 of this invention. The figure which shows the content of the search result information 601 in Embodiment 1 of this invention. The figure which shows the content which the presentation means 90 in Embodiment 1 of this invention displays

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Cellular phone 10 Mail preparation means 20 Keyword extraction means 30 Timing means 40 Position information acquisition means 50 Keyword classification means 55 Classification information storage means 60 Content search means 65 Content storage means 70 Content selection means 80 Input means 90 Presentation means 100 Transmission means T21 , T51 Table C31, C32, C33 Content H31, H32, H33 Person CKW41, CKW42, CKW43 Content keyword group MKW111 Mail keyword group SCR1, SCR2, SCR3 Score

Claims (12)

A communication terminal device that transmits content attached to a mail to be transmitted,
Keyword extracting means for extracting a first keyword group from the email;
Content storage means for storing a plurality of content and a second keyword group associated with the content;
Content search means for determining the order of presenting the content based on the first keyword group and the second keyword group;
And a presenting means for presenting a plurality of contents in the order. A keyword classification means for determining a classification type of each keyword belonging to the first keyword group;
The content search means compares a keyword belonging to the first keyword group and a keyword belonging to the second keyword group for each classification type, and determines an order in which the content is presented. The communication terminal device according to claim 1. The content search means determines the order based on a total score calculated by comparing a keyword belonging to the first keyword group and a keyword belonging to the second keyword group for each classification type. The communication terminal device according to claim 2. 4. The communication terminal apparatus according to claim 3, wherein the content search means calculates the score using a coefficient set for each classification type. The communication terminal apparatus according to claim 3, wherein the presenting unit presents the plurality of contents in descending order of the total score. A timekeeping means for managing date and time information indicating the current date and time;
Position information acquisition means for acquiring position information indicating the current location;
2. The communication terminal apparatus according to claim 1, wherein the keyword extraction unit acquires the date information and the position information and extracts the date and time information and the position information as the first keyword group. An information presentation method for presenting a plurality of contents as candidates to be attached to an email to be sent,
A keyword extraction step of extracting a first keyword group from the email;
A content search step for determining an order of presenting the content based on the first keyword group and a second keyword group accumulated in association with each content;
A presentation step of presenting a plurality of contents according to the order. A keyword classification step for determining a classification type of each keyword belonging to the first keyword group;
The content search step compares a keyword belonging to the first keyword group and a keyword belonging to the second keyword group for each classification type, and determines an order in which the content is presented. The information presentation method according to claim 7. The content search step determines the order based on a total score calculated by comparing a keyword belonging to the first keyword group and a keyword belonging to the second keyword group for each classification type. The information presentation method according to claim 8. The information presentation method according to claim 9, wherein the content search step calculates the score using a coefficient set for each classification type. The information presentation method according to claim 9, wherein the presenting step presents the plurality of contents in descending order of the total score. A timing step for managing date and time information indicating the current date and time;
A position information acquisition step of acquiring position information indicating the current location,
8. The information presentation method according to claim 7, wherein the keyword extraction step acquires the date information and the position information, and extracts them as the first keyword group.

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