WO2013164911A1 - 情報配信システム - Google Patents
情報配信システム Download PDFInfo
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- WO2013164911A1 WO2013164911A1 PCT/JP2013/002892 JP2013002892W WO2013164911A1 WO 2013164911 A1 WO2013164911 A1 WO 2013164911A1 JP 2013002892 W JP2013002892 W JP 2013002892W WO 2013164911 A1 WO2013164911 A1 WO 2013164911A1
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
- G06Q30/0242—Determining effectiveness of advertisements
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
- G06Q30/0251—Targeted advertisements
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
- G06Q30/0251—Targeted advertisements
- G06Q30/0261—Targeted advertisements based on user location
Definitions
- the present invention relates to an information distribution system having a function of distributing appropriate information for each user.
- the content of the advertisement (information) to be distributed is determined by the distance between the facility or shop and the mobile terminal, if the distance between the facility or shop and the mobile terminal is the same
- the advertisement having the same content is distributed to different users (to all users), and there is a problem that the advertising effect (information distribution effect) is limited.
- the present invention has been made in view of the above problems, and an object thereof is to provide an information distribution system capable of distributing appropriate information for each user and improving the information distribution effect.
- the information distribution server of the present invention is an information distribution server communicable with a terminal device, and the information distribution server includes a position of the terminal device when an access request is transmitted from the terminal device to the information distribution server.
- a history information recording unit for recording time information as user history information, and analyzing the user history information for a predetermined analysis period, the combination of the position and time of the terminal device is changed to the state of the user of the terminal device.
- the state database generation unit that generates the associated state database, the state of the user when the access request is made, and the position and time of the terminal device, the behavior pattern of the user of the terminal device is determined. And a first state that tends to select information for work over entertainment rather than entertainment.
- a second state that tends to preferentially select information for entertainment over work and the information distribution server further includes a receiving unit that receives information on a current position of the terminal device; An information distribution unit that determines a current user state based on a current position and time of the terminal device, and distributes information corresponding to the current user state and the user behavior pattern to the terminal device; I have.
- the current state of the user is determined according to the current position and time of the terminal device. And the appropriate information according to a user's present state and action pattern is delivered.
- the user's state includes a first state (a state called “uchi”) that tends to select information for work over entertainment, and information for entertainment over work.
- a second state that tends to be selected (a state also referred to as “spin”) is included.
- the state database generation unit converts the location and time information of the terminal device into area type and time type information, and sets the combination of the area type and the time type to the user.
- the state database may be generated in association with the state.
- the position and time information of the terminal device is converted into the area type and the time type, and the combination of the area type and the time type is associated with the user state.
- the area type is meaningful location information
- the time type is meaningful time information.
- the information distribution system of the present invention is an information distribution system including a terminal device and an information distribution server communicable with the terminal device, and the information distribution server accesses the information distribution server from the terminal device.
- a history information recording unit that records information on the position and time of the terminal device when the request is transmitted as user history information, and analyzing the user history information for a predetermined analysis period to determine the position of the terminal device
- a state database generating unit that generates a state database in which a combination of time and time is associated with the state of the user of the terminal device, the state of the user when the access request is made, the position and time of the terminal device,
- a behavior pattern analysis unit for analyzing a behavior pattern of the user of the terminal device based on
- the information distribution server includes a first state that tends to preferentially select the information of the second information, and a second state that tends to preferentially select information for entertainment over the work, and the information distribution server further includes: A receiving unit that receives information on the current position of the terminal device; and
- the method of the present invention is a method executed by an information distribution server communicable with a terminal device, and the method includes a position of the terminal device when an access request is transmitted from the terminal device to the information distribution server. Recording time information as user history information, analyzing the user history information for a predetermined analysis period, and associating the combination of the position and time of the terminal device with the state of the user of the terminal device Generating a state database; and analyzing a user's behavior pattern of the terminal device based on the state of the user when the access request is made, and the position and time of the terminal device.
- the method further comprises receiving information on the current location of the terminal device and determining a current user state based on the current location and time of the terminal device. Determining and distributing information corresponding to the current user state and the user's behavior pattern to the terminal device.
- the program of the present invention is a program that is executed by an information distribution server that can communicate with a terminal device, and the program is the terminal device when an access request is transmitted from the terminal device to the information distribution server.
- the process of recording the location and time information as user history information, and analyzing the user history information for a predetermined analysis period, the combination of the position and time of the terminal device is changed to the state of the user of the terminal device.
- a second state that tends to select information for entertainment over work and the program receives information on the current position of the terminal device from the computer. And a process of determining a current user state based on the current position and time of the terminal device, and distributing information according to the current user state and the user action pattern to the terminal device. To be executed.
- the user's state includes a first state (a state called “uchi”) that tends to select information for work over entertainment, and information for entertainment over work.
- a second state that tends to be selected (a state also referred to as “spin”) is included.
- the block diagram which shows the structure of the information delivery system in the 1st Embodiment of this invention.
- Explanatory drawing of the 1st state (uchi) and the 2nd state (spin) in the 1st embodiment of the present invention Explanatory drawing of the user history information and state database in the first embodiment of the present invention
- movement of the information delivery system in the 1st Embodiment of this invention The block diagram which shows the structure of the information delivery system in the 2nd Embodiment of this invention.
- the block diagram which shows the structure of the information delivery system in the 3rd Embodiment of this invention.
- the information distribution server according to the first embodiment of the present invention will be described below with reference to the drawings.
- the case of an information distribution server used as an advertisement distribution server will be described as an example.
- the server according to the present embodiment has a function of distributing appropriate information for each user. This function is realized by a program stored in the HDD or memory of the server.
- FIG. 1 is a block diagram illustrating a configuration of an advertisement distribution system according to the present embodiment.
- the advertisement distribution system 1 includes a terminal device 2 and an advertisement distribution server 3.
- the terminal device 2 is a mobile terminal or the like possessed by the user.
- the advertisement distribution server 3 is installed in a business company that provides an advertisement distribution service, and can communicate with the terminal device 2 via a network (such as the Internet; not shown in FIG. 1).
- a network such as the Internet; not shown in FIG. 1).
- FIG. 1 for convenience of explanation, only one terminal device 2 and one advertisement distribution server 3 are shown. However, the number of terminal devices 2 and advertisement distribution servers 3 may be two or more. Of course.
- the advertisement distribution server 3 includes a history information recording unit 4 and a user history information storage unit 5.
- the history information recording unit 4 records the position and time information of the terminal device 2 when the access request is transmitted from the terminal device 2 to the advertisement distribution server 3 as user history information in the user history information storage unit 5.
- the location may be a place name (Tokyo: Marunouchi, etc.) or a latitude / longitude (N latitude N, E longitude E, etc.).
- the time may be a time zone (morning (7:00 to 9:59) or the like) or a time (7:31 or the like).
- the advertisement distribution server 3 includes a state database generation unit 6 and a state database 7.
- the state database generation unit 6 analyzes user history information for a predetermined analysis period (for example, for one week), and associates the combination of the position and time of the terminal device 2 with the state of the user of the terminal device 2 to state database 7 is generated.
- the user status includes a first status (outside) that tends to select information for work over entertainment, and a second status that tends to select information for entertainment over work. State (spin) is included. The “user state” will be described in detail later.
- the state database generation unit 6 converts the position and time information of the terminal device 2 into area type and time type information, and generates a state database by associating the combination of the area type and the time type with the user state. can do. For example, information on the position and time of the terminal device 2 such as “N degrees north latitude / E degrees east longitude” and “12:05” is converted into area type and time type information “office town” and “daytime”. The Then, the combination of the area type and the time type is associated with the user's state (for example, “office (workplace)” in “outside”).
- the advertisement distribution server 3 includes a behavior pattern analysis unit 8 and a behavior pattern information storage unit 9.
- the behavior pattern analysis unit 8 analyzes the behavior pattern of the user of the terminal device 2 based on the state of the user when the access request is made, the position and time of the terminal device 2, and the behavior pattern information storage unit 9 To record. The analysis of “behavior patterns” will also be described in detail later.
- the advertisement distribution server 3 includes a communication unit 10 and an advertisement distribution unit 11.
- the communication unit 10 has a function of communicating with the terminal device 2 and can receive information on the current position of the terminal device 2.
- the advertisement distribution unit 11 determines the current user state based on the current position and time of the terminal device 2, and distributes an advertisement corresponding to the current user state and the user behavior pattern to the terminal device 2.
- the “user state” when accessing the advertisement distribution server 3, that is, the first state (uchi) and the second state (spin) will be described with reference to FIG. 2.
- home includes “home (home)”, “office (workplace)”, “commuting (outward / return)”, and “near-field away”.
- Hae includes “remote place away”.
- remote place away may be included in “uchi”
- “near away” may be included in “Hare”.
- “Home” is a state of the user when the terminal device 2 (user) is located within a predetermined home mesh (or within an area having a radius of 800 m centered on the home mesh).
- the “home mesh” is defined as, for example, a 1 km mesh (area of 1 km square) with the highest number of access requests from the terminal device 2 in the time zone from 0:00 to 6:59 on weekdays / holidays.
- Office is the state of the user when the terminal device 2 (user) is located within a predetermined office mesh (or within an area having a radius of 800 m centered on the office mesh).
- the “office mesh” is defined as, for example, a 1 km mesh (area of 1 km square) with the highest number of access requests from the terminal device 2 in the time zone from 10:00 to 18:59 on weekdays.
- the number of access requests is 2 or less, it is desirable not to use “office”.
- office mesh is in the vicinity of the home mesh (for example, within 9 mesh)
- the office mesh (1 km mesh with the highest access request) is far from the home mesh (for example, 60 km or more away)
- the 1 km mesh with the second highest access request may be used as the office mesh.
- “Commuting (outward)” is a time period between 7:00 and 9:59 on weekdays.
- the terminal device 2 (user) is located within an area of a predetermined life radius centered on the center of gravity (intermediate point) of the home mesh and office mesh. ) Is the state of the user when it is located.
- “commuting (return trip)” is the terminal device 2 within the above-mentioned radius of life centered on the center of gravity (intermediate point) of the home mesh and the office mesh during the time zone from 17:00 to 24:59 on weekdays. This is the state of the user when (user) is located.
- “Remote place away” is the state of the user when the terminal device 2 (user) is located in an area at a radius of 30 km or more from the center of gravity (intermediate point) of the home mesh and the office mesh. “Nearby away” is a state of a user other than the above (ie, a state of a user who is not “home”, “office”, “commuting”, or “remote away”).
- FIG. 3 shows an example of user history information and a state database 7 of a certain user (user A).
- the home of the user A is Nishi-Ogikubo
- the workplace is Marunouchi
- the center line is used for commuting.
- the user A may make a business trip to Kawasaki on weekdays, and may stay in the vicinity of Kawasaki when the return is late.
- User A may also be at a pub in Shimbashi on weekday nights.
- the user A travels to Kyoto on a weekend on a business trip.
- the state database 7 of the user A is generated by analyzing the position and time information (user history information) when the user A accessed the hotel advertisement in the past week.
- the behavior pattern of the user A is analyzed based on the state, position, and time of the user A. For example, the following user A behavior patterns (1) to (6) are found from the user history information (position and time) and the state of user A in FIG.
- Action pattern (1) In the morning to noon, in the office (workplace) and commuting (outbound), people often click on hotel advertisements for nearby places.
- Action pattern (2) There are many hotel advertisements in the vicinity of Kawasaki that are nearby.
- Action pattern (3) From night to midnight, the user often clicks on a hotel advertisement for a remote area at home (home) and commuting (return trip).
- Action pattern (4) Hotel advertisements in remote areas are mostly for business districts, entertainment districts, near stations, and sightseeing spots.
- Action pattern (6) From the past position information, the remote location away of the user A is a downtown area, an amusement district, a near station, or a sightseeing spot.
- the state of the current user A is determined according to the current position and time of the user A, and advertisements according to the current state of the user A and the action patterns (1) to (6) are distributed.
- the current position of the user A is “Tokyo: Marunouchi” and the current time is “11:30 on January 25, 2012 (weekday / daytime)”
- the current state of the user A Is determined to be “Uchi: Office (workplace)”
- an advertisement for a nearby hotel is distributed.
- advertisement distribution is performed using the advertisement distribution system 1 of the present embodiment
- user history information is recorded for a predetermined analysis period (for example, one week).
- a predetermined website displayed on the terminal device 2
- an access request is transmitted from the terminal device 2 to the advertisement distribution server 3 (S1).
- test advertisement distribution is performed from the advertisement distribution server 3 (S2)
- test advertisement display banner display or the like
- the advertisement distribution server 3 records the position and time information of the terminal device 2 as user history information (S4).
- the advertisement distribution server 3 analyzes the user history information, and associates the combination of the position and time of the terminal device 2 with the user's state (first state “uchi” and second state “Hare”).
- the state database 7 is generated (S5), and the behavior pattern of the user of the terminal device 2 is analyzed based on the state of the user when the access request is made and the position and time of the terminal device 2 (S6).
- the advertisement distribution server 3 determines the current user state based on the current location and time of the terminal device 2 (S8), and the current user An advertisement (optimized advertisement) according to the state and the user's behavior pattern is distributed to the terminal device 2 (S9).
- the information on the current position of the terminal device 2 may be transmitted from the terminal device 2 to the advertisement distribution server 3 when the access request is transmitted (S1).
- the test advertisement banner advertisement
- the fact that the test advertisement is not clicked on the advertisement distribution server 3 may be recorded as user history information.
- the advertisement effect can be improved by distributing an appropriate advertisement for each user.
- the current state of the user is determined according to the current position and time of the terminal device 2. And the suitable advertisement according to a user's present state and action pattern is delivered.
- the user's state includes a first state (a state called “uchi”) that tends to select information for work over entertainment, and information for entertainment over work.
- a second state that tends to be selected (a state also referred to as “spin”) is included.
- an appropriate advertisement business trip
- an action pattern such as staying at a business hotel on a business trip
- the advertisement of the previous business hotel, etc. is automatically distributed.
- an appropriate advertisement (Kyoto's prosperity) according to the user's state (Hare) and action pattern (such as traveling to Kyoto on holidays). Advertisements such as streets and entertainment areas) are automatically distributed.
- information on the position (for example, “N degrees north latitude / E degrees east longitude”) and time (for example, “12:05”) of the terminal device 2 is included in the area type (for example, “office town”). ]) And time type (for example, “daytime”), and the combination of the area type and the time type is associated with the user's state.
- the area type is meaningful location information (meaningful location information)
- the time type is meaningful time information (meaningful time information).
- FIG. 5 is a block diagram showing the configuration of the information distribution system of the present embodiment.
- the information distribution system 200 of the present embodiment includes a terminal device 20 and an information distribution server 30 that are mounted on a vehicle.
- the terminal device 20 is a navigation device mounted on a vehicle.
- the information distribution server 30 includes an information distribution unit 21.
- the information distribution unit 21 determines the current user state based on the current position and time of the terminal device 20, and distributes information corresponding to the current user state and the user behavior pattern to the terminal device 20.
- Information delivered to the user includes POI (Point of Interest) information that can support or expand the user's movement behavior, and TOI (Timing of Interest) that can give timely awareness and discovery to passive users Information and BOI (Brand of Interest) information that can enhance the brand owner's feeling are included.
- POI Point of Interest
- TOI Tuing of Interest
- POI information includes, for example, information on tourist attractions, restaurants, shops, museums, leisure facilities, educational facilities, and the like.
- the TOI information includes, for example, weather, news, entertainment information, traffic information, various ranking information, social news, event information, special sale information, and the like.
- the BOI information includes, for example, automobile brand news, manufacturer brand news, global news, dealer news, service news, various brand advertisements, and the like.
- the information distribution system 200 of the present embodiment for example, in the morning on weekdays (e.g., after 8:00 am), when a user is waiting for a signal on the way from his home to his work, Entertainment information, book ranking, information on nearby breakfast providers, etc. are distributed to the terminal device 20. It is desirable that each piece of information is distributed in an amount that can be viewed in a short time (about 30 seconds).
- the display time of each content may be shortened (for example, about 15 seconds) and more information may be distributed.
- FIG. 6 is a block diagram showing the configuration of the information distribution system of the present embodiment.
- the information distribution system 300 includes a terminal device 40 and an information distribution server 30.
- the terminal device 40 is a television, personal computer, digital signage, or the like.
- the terminal device 40 is always fixed at the same place, and therefore the position of the terminal device 40 does not change.
- the information distribution server 30 determines that there is no change in the position of the terminal device 40 (the same place)
- the information distribution server 30 determines the current user state based on the “context” and “emotion”, and Information corresponding to the state is distributed to the terminal device 40.
- the context includes a meaningful position in a group, a meaningful position in an individual, and a transition of a meaningful position in an individual.
- the “significant position” includes a position in the real space, a position in the virtual space, and a position in the action space.
- the position on the real space is a position on the map measured by latitude and longitude.
- the position in the virtual space is the position on the web measured by the URL, the position on the television broadcast measured by the time and channel, the book or music CD measured by ISBN or JAN code, the game of the game machine, etc.
- the position is based on the information content.
- the position on the action space is a position based on what the user is doing (other than the information content axis).
- the user detects “what the user is using”.
- the user's device usage status for example, the refrigerator is open, the air conditioner is operated, the pen is used Etc.
- televisions, music players, personal computers, game machines, and the like represent action spaces as devices, but their contents are represented in a virtual space.
- ⁇ Real space> Home Where you spend most of your time, especially at night. Workplace: Where you spend most of your time after your home. Stay mainly in the daytime on weekdays. Commuting school road: A place that is mainly used for reciprocation between home and work. Neighborhood: A place where people often stop by at home or near work. Where you need equipment to protect yourself ⁇ virtual space> Home: Portals and search sites that are the starting point for information search. Travel destinations: Documents, news, and entertainment sites that are regularly checked. Video sharing site, bulletin board, chat, SNS, etc. Hobbies / interests: Search for content that interests you and its surroundings Friend: A place where communication or information exchange with people you know in real or virtual situations occurs.
- Search Destination When searching for something, a place without any intuition that was prompted by a search site. (Because the action space already expresses the context, the meaning for everyone often overlaps with the meaning for the individual. There are special cases.) Auto: It's a space move for everyone, but for me, it's a place to listen to music. (Sensitive to music content and music information) Bath: It ’s a place for everyone to wash their bodies, but for “me”, watching TV.
- the context configuration method (contextualization) will be described.
- the “behavior space” can be used as an alternative variable of the context as it is because the device and the context are almost the same.
- operating an air conditioner means that the temperature and humidity are uncomfortable, and operating the refrigerator is replaced by a direct meaning such as being hungry or thirsty). Therefore, contexting work is required in the “real space” and “virtual space”.
- contextualization of the location of the “real space” is generally performed taking into account two points: what is the location and what is the location for the individual.
- the former in general, what kind of place is
- the latter means the place obtained from information expressed on a map such as a residential area, a downtown area, a forest, a train station, along a railway line, near a convenience store, and the like.
- the latter (where the location is for the individual) includes: near home, near work location, commute route, terminal station on commute route, frequent leisure facilities, relatives' homes, home stadium of favorite soccer team, etc. , Meaning the place where the person visits frequently.
- Clustering is a general analysis method in statistics by connecting and classifying persons having the same properties. There are various analysis methods for clustering. In this embodiment, “clustering by contents” and “clustering by users” are used.
- Content-based clustering uses a statistical technique called text mining, and documents (character information, images, and sounds) provided on the website and accompanying meta information (mainly character information given to non-character information)
- movie synopses, performers, producers, music artist names, song composer names, commercial brand names, performers, music names, etc. are classified according to their keywords.
- content that contains many keywords, comments, videos, and images related to railways is classified as “railway”, and content that describes how to make crops, sell seeds, and specifications of agricultural equipment is classified as “agriculture”.
- the genre can be estimated from the frequency of keywords that appear in news and the like. For example, it can be classified into sports news if the name of a sports player or a stadium name appears, political news if the name of a politician often appears, and economic news if it is a company name.
- Clustering by users is a method of classifying content according to who is using it. If Mr. A is a railroad fan, he concentrates on the timetable site, railroad photo site, railroad news, the same railroad fan's blog, railroad DVD, etc. Also, if Mr. B likes an idol group, they will intensively ingest the idol group's official website, a video site with promotional videos, music CDs and promotional DVDs, programs and CMs, and news about the idols. . In this way, depending on who is being viewed, the genre division according to the content is further stabbed in a horizontal skewer. In particular, keywords of other genres of interest are also expected to be different because fans of X group and Y group have different generations even in the same idol group.
- Emotion is expressed as a psychological state of an actor, particularly an attitude that allows information, and includes, for example, the following. Positive (feels to interpret well the information received), negative (feels to interpret badly) Active (feeling that you are willing to collect information), passive (feeling that you are willing to accept information) Halle (curiosity and feelings of accepting new things), Uchi (feeling of indigenous life) Excitement (feeling emotional to external factors), Calm (feeling intelligently dealing with external factors) Frustrated (feeling that his / her desire was not satisfied), relaxed (feeling that his / her desire was satisfied)
- Emotion composition method is, for example, a method in which an emotional keyword is included in a sent word when it is sent as personal information by SNS or blog, etc. Is available.
- expressions such as emoticons are also methods of composing emotions from information transmission by text.
- it is estimated what the emotion is as a context (criticizing something, criticizing, admiring something), substituting the subconsciousness from the appearance frequency of the keyword, It is also possible to compose emotions by combining expressions, such as estimating the person's emotion from the reaction of the communication partner, excluding accuracy issues.
- monitoring information observed by sensors and devices can also be used as a component of emotion. For example, if you carry a smartphone, information about how you use the smartphone (for example, touching sneak, touching occasionally, writing something, touching all the time) Available.
- recent smartphones are equipped with various sensors, such as walking, running, turning, riding, and often tilting. It can also be used to determine if a smartphone is tilted around or is frustrated)
- the terminal device 40 receives news of the company that visited yesterday, exhibition holding news at the exhibition hall on the route that passed yesterday, etc. be delivered.
- the user passes the digital signage at the station on the way to lunch.
- the advertisement of the recently opened ramen shop is distributed to the terminal device 40 (digital signage in this case).
- CM information of the car owned by the user is distributed.
- the terminal device 40 (in this case, the television) is distributed with TOI information notifying that the clock that the talent in the program being viewed is the same as that owned by the user.
- the information distribution system according to the present invention has an effect of improving the information distribution effect (advertising effect), and is useful as an advertisement distribution system.
- Advertisement delivery system 2 Terminal device 3 Advertisement delivery server 4 History information recording part 5 User history information storage part 6 State database production
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Priority Applications (6)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| EP13785029.3A EP2846301A4 (en) | 2012-05-02 | 2013-04-30 | INFORMATION DISTRIBUTION SYSTEM |
| BR112014026569A BR112014026569A2 (pt) | 2012-05-02 | 2013-04-30 | sistema de distribuição de informações |
| CN201380023124.5A CN104303200B (zh) | 2012-05-02 | 2013-04-30 | 信息分发系统 |
| US14/397,973 US20150134408A1 (en) | 2012-05-02 | 2013-04-30 | Information distribution system |
| IN2204MUN2014 IN2014MN02204A (OSRAM) | 2012-05-02 | 2013-04-30 | |
| JP2014513337A JP6622962B2 (ja) | 2012-05-02 | 2013-04-30 | 情報配信システム |
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| BR (1) | BR112014026569A2 (OSRAM) |
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| TW (1) | TW201407517A (OSRAM) |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2015184763A (ja) * | 2014-03-20 | 2015-10-22 | ヤフー株式会社 | 感情推定装置、感情推定方法、及び感情推定プログラム |
| EP2937831A1 (en) * | 2014-04-25 | 2015-10-28 | Xiaomi Inc. | Method, device and system for identifying target terminals and method and device for monitoring terminals |
| JP2016126460A (ja) * | 2014-12-26 | 2016-07-11 | 株式会社ゼンリンデータコム | 情報処理システム、プログラム、及び情報処理方法 |
| JP2018097595A (ja) * | 2016-12-13 | 2018-06-21 | ヤフー株式会社 | 配信装置、配信方法、配信プログラム、端末装置、表示方法、及び表示プログラム |
| WO2020071402A1 (ja) * | 2018-10-02 | 2020-04-09 | パナソニック インテレクチュアル プロパティ コーポレーション オブ アメリカ | 情報提供方法 |
| JP2022078666A (ja) * | 2020-11-13 | 2022-05-25 | ヤフー株式会社 | 推定装置、推定方法及び推定プログラム |
| JP7368770B1 (ja) | 2022-04-13 | 2023-10-25 | 株式会社カプコン | 情報処理システム、情報処理装置およびプログラム |
| US12080142B2 (en) | 2019-03-19 | 2024-09-03 | Panasonic Intellectual Property Management Co., Ltd. | Information presentation method, information presentation system, and information presentation apparatus |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN119863283A (zh) * | 2025-03-25 | 2025-04-22 | 长沙指色网络科技有限公司 | 一种广告数据处理方法及系统 |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001238266A (ja) | 2000-02-24 | 2001-08-31 | Hitachi Ltd | 情報配信システム |
| JP2002073666A (ja) * | 2000-08-29 | 2002-03-12 | Sharp Corp | 情報提供システム及び情報提供サーバ及び情報受信端末並びに情報提供プログラムを記録した記録媒体 |
| JP2002342367A (ja) * | 2001-05-21 | 2002-11-29 | Nippon Telegr & Teleph Corp <Ntt> | 情報配信システム及び情報配信方法 |
| JP2007179185A (ja) * | 2005-12-27 | 2007-07-12 | Ntt Docomo Inc | サービス推薦システム、及び、サービス推薦方法 |
| JP2007264764A (ja) * | 2006-03-27 | 2007-10-11 | Denso It Laboratory Inc | コンテンツ選別方法 |
| JP2009251743A (ja) * | 2008-04-02 | 2009-10-29 | Ntt Docomo Inc | 情報配信システム、サーバ装置、情報配信プログラム |
Family Cites Families (26)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6571279B1 (en) * | 1997-12-05 | 2003-05-27 | Pinpoint Incorporated | Location enhanced information delivery system |
| US5740549A (en) * | 1995-06-12 | 1998-04-14 | Pointcast, Inc. | Information and advertising distribution system and method |
| CN100527826C (zh) * | 2001-12-25 | 2009-08-12 | 株式会社电通 | 信息分配系统 |
| JP4020694B2 (ja) * | 2002-05-15 | 2007-12-12 | 株式会社電通 | アドマーケット・システム及び方法 |
| JP2004208183A (ja) * | 2002-12-26 | 2004-07-22 | Matsushita Electric Ind Co Ltd | 位置情報通知システムおよび通信端末 |
| WO2004077291A1 (ja) * | 2003-02-25 | 2004-09-10 | Matsushita Electric Industrial Co., Ltd. | アプリケーションプログラムの予測方法及び移動体端末 |
| JP2006023793A (ja) * | 2004-07-06 | 2006-01-26 | Sony Corp | 情報処理装置,プログラム,プログラム提供サーバ |
| US6994072B2 (en) * | 2004-07-12 | 2006-02-07 | General Motors Corporation | Method for mid load operation of auto-ignition combustion |
| JP4469790B2 (ja) * | 2004-12-27 | 2010-05-26 | パナソニック株式会社 | 地図情報更新装置および地図情報更新方法 |
| JP2007233946A (ja) * | 2006-03-03 | 2007-09-13 | Nec Corp | 情報受信端末、情報配信システム、情報分類方法およびプログラム |
| US20070270166A1 (en) * | 2006-05-19 | 2007-11-22 | Karl Georg Hampel | Prioritization of location queries in a location-based services system |
| WO2008081596A1 (ja) * | 2006-12-27 | 2008-07-10 | Dentsu Inc. | リスティング広告送出装置及び方法 |
| US8452277B2 (en) * | 2007-01-11 | 2013-05-28 | David A. Hurowitz | Data delivered to targeted mobile device |
| US20090125321A1 (en) * | 2007-11-14 | 2009-05-14 | Qualcomm Incorporated | Methods and systems for determining a geographic user profile to determine suitability of targeted content messages based on the profile |
| JP5362337B2 (ja) * | 2008-11-27 | 2013-12-11 | 株式会社日立製作所 | 情報配信システム、情報配信サーバ、及びプログラム |
| US20100198917A1 (en) * | 2009-02-02 | 2010-08-05 | Kota Enterprises, Llc | Crowd formation for mobile device users |
| CN102804883B (zh) * | 2009-05-11 | 2016-11-02 | 司亚乐科技股份有限公司 | 用于在无线通信系统中执行位置更新的方法和系统 |
| EP2554945B1 (en) * | 2010-03-26 | 2018-05-23 | Nec Corporation | Position measurement device, method for generating locational information, and storage medium |
| JP5482495B2 (ja) * | 2010-06-18 | 2014-05-07 | ソニー株式会社 | 情報処理装置、情報処理方法及びプログラム |
| US20120066071A1 (en) * | 2010-08-05 | 2012-03-15 | Thomas Scott W | Intelligent electronic information deployment |
| US20120054303A1 (en) * | 2010-08-31 | 2012-03-01 | Apple Inc. | Content delivery based on temporal considerations |
| US20120054302A1 (en) * | 2010-08-31 | 2012-03-01 | Apple Inc. | Location context for content delivery |
| EP2834754B1 (en) * | 2012-04-05 | 2019-10-02 | Telefonaktiebolaget LM Ericsson (publ) | Method and apparatus for determining geographic position of mobile terminals |
| KR101860540B1 (ko) * | 2012-04-26 | 2018-05-23 | 한국전자통신연구원 | 사용자 간 위치 정보를 공유하기 위한 휴대용 단말기 및 방법 |
| US20130318077A1 (en) * | 2012-05-24 | 2013-11-28 | Apple Inc. | Targeted content delivery based on zonal taxonomy |
| CN104904242B (zh) * | 2012-11-30 | 2019-04-02 | 麦恩电子股份有限公司 | 用于向车辆驾驶员提供有针对性的广告和地理信息的系统和方法 |
-
2013
- 2013-04-30 BR BR112014026569A patent/BR112014026569A2/pt not_active Application Discontinuation
- 2013-04-30 US US14/397,973 patent/US20150134408A1/en not_active Abandoned
- 2013-04-30 IN IN2204MUN2014 patent/IN2014MN02204A/en unknown
- 2013-04-30 CN CN201380023124.5A patent/CN104303200B/zh active Active
- 2013-04-30 WO PCT/JP2013/002892 patent/WO2013164911A1/ja not_active Ceased
- 2013-04-30 EP EP13785029.3A patent/EP2846301A4/en not_active Withdrawn
- 2013-04-30 JP JP2014513337A patent/JP6622962B2/ja active Active
- 2013-05-02 TW TW102115685A patent/TW201407517A/zh unknown
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001238266A (ja) | 2000-02-24 | 2001-08-31 | Hitachi Ltd | 情報配信システム |
| JP2002073666A (ja) * | 2000-08-29 | 2002-03-12 | Sharp Corp | 情報提供システム及び情報提供サーバ及び情報受信端末並びに情報提供プログラムを記録した記録媒体 |
| JP2002342367A (ja) * | 2001-05-21 | 2002-11-29 | Nippon Telegr & Teleph Corp <Ntt> | 情報配信システム及び情報配信方法 |
| JP2007179185A (ja) * | 2005-12-27 | 2007-07-12 | Ntt Docomo Inc | サービス推薦システム、及び、サービス推薦方法 |
| JP2007264764A (ja) * | 2006-03-27 | 2007-10-11 | Denso It Laboratory Inc | コンテンツ選別方法 |
| JP2009251743A (ja) * | 2008-04-02 | 2009-10-29 | Ntt Docomo Inc | 情報配信システム、サーバ装置、情報配信プログラム |
Non-Patent Citations (2)
| Title |
|---|
| SATOSHI MIYAJI: "Fixed, Mobile and Broadcasting Convergence Services and Applications", THE JOURNAL OF THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS, vol. 93, no. 12, 1 December 2010 (2010-12-01), pages 1034 - 1040, XP008175302 * |
| See also references of EP2846301A4 |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| JP2015184763A (ja) * | 2014-03-20 | 2015-10-22 | ヤフー株式会社 | 感情推定装置、感情推定方法、及び感情推定プログラム |
| EP2937831A1 (en) * | 2014-04-25 | 2015-10-28 | Xiaomi Inc. | Method, device and system for identifying target terminals and method and device for monitoring terminals |
| JP2016126460A (ja) * | 2014-12-26 | 2016-07-11 | 株式会社ゼンリンデータコム | 情報処理システム、プログラム、及び情報処理方法 |
| JP2018097595A (ja) * | 2016-12-13 | 2018-06-21 | ヤフー株式会社 | 配信装置、配信方法、配信プログラム、端末装置、表示方法、及び表示プログラム |
| WO2020071402A1 (ja) * | 2018-10-02 | 2020-04-09 | パナソニック インテレクチュアル プロパティ コーポレーション オブ アメリカ | 情報提供方法 |
| JPWO2020071402A1 (ja) * | 2018-10-02 | 2021-09-02 | パナソニック インテレクチュアル プロパティ コーポレーション オブ アメリカPanasonic Intellectual Property Corporation of America | 情報提供方法 |
| JP7441790B2 (ja) | 2018-10-02 | 2024-03-01 | パナソニック インテレクチュアル プロパティ コーポレーション オブ アメリカ | 情報提供方法 |
| US12080142B2 (en) | 2019-03-19 | 2024-09-03 | Panasonic Intellectual Property Management Co., Ltd. | Information presentation method, information presentation system, and information presentation apparatus |
| JP2022078666A (ja) * | 2020-11-13 | 2022-05-25 | ヤフー株式会社 | 推定装置、推定方法及び推定プログラム |
| JP7138687B2 (ja) | 2020-11-13 | 2022-09-16 | ヤフー株式会社 | 推定装置、推定方法及び推定プログラム |
| JP7368770B1 (ja) | 2022-04-13 | 2023-10-25 | 株式会社カプコン | 情報処理システム、情報処理装置およびプログラム |
| JP2023159900A (ja) * | 2022-04-13 | 2023-11-02 | 株式会社カプコン | 情報処理システム、情報処理装置およびプログラム |
Also Published As
| Publication number | Publication date |
|---|---|
| CN104303200A (zh) | 2015-01-21 |
| IN2014MN02204A (OSRAM) | 2015-07-10 |
| US20150134408A1 (en) | 2015-05-14 |
| EP2846301A1 (en) | 2015-03-11 |
| JP6622962B2 (ja) | 2019-12-18 |
| EP2846301A4 (en) | 2016-01-13 |
| CN104303200B (zh) | 2018-02-13 |
| BR112014026569A2 (pt) | 2017-06-27 |
| JPWO2013164911A1 (ja) | 2015-12-24 |
| TW201407517A (zh) | 2014-02-16 |
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