WO2015159409A1 - Information delivery device and information delivery method - Google Patents

Information delivery device and information delivery method Download PDF

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Publication number
WO2015159409A1
WO2015159409A1 PCT/JP2014/060957 JP2014060957W WO2015159409A1 WO 2015159409 A1 WO2015159409 A1 WO 2015159409A1 JP 2014060957 W JP2014060957 W JP 2014060957W WO 2015159409 A1 WO2015159409 A1 WO 2015159409A1
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information
user
product
store
unit
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PCT/JP2014/060957
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French (fr)
Japanese (ja)
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宇都木 契
宏視 荒
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株式会社日立製作所
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    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce, e.g. shopping or e-commerce
    • G06Q30/02Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
    • G06Q30/0207Discounts or incentives, e.g. coupons, rebates, offers or upsales

Abstract

This information delivery device is characterized by the provision of the following: a memory unit that stores order information that contains, in association with products, stores at which said products are given out or sold, the times at which said products are given out or sold at said stores, and information indicating that said products, stores, and times may be released to the public; and a control unit that extracts, from the order information, products associated with information indicating the possibility of release to the public and transmits the extracted products and product-related information including the stores and times associated with said products to handheld-terminal devices located within prescribed distances of the locations of said stores before said times arrive.

Description

Information distribution apparatus and information delivery method

The present invention relates to an information delivery apparatus and information delivery method.

Servers that store operators is managed, in order to increase the shopper, technology to be distributed to the user of the portable terminal device electronic coupons on the network exists. Electronic coupon serves as a cash voucher in the shop. Electronic coupon is not in any exchange possible economic value to goods, is intended to be used only in the purchase of goods that are sold in the store. Therefore, whether a person suspected of having an interest in the product from among the user, extracts how to become a problem. Information distribution apparatus of cited document 1, the personal information of the user of the portable terminal apparatus, search history and viewing history in the network, according to the position information of the portable terminal device, to select the type of electronic coupons to be distributed to users.

JP 2012-248073 JP (paragraph 0064, etc.)

Store, for example, the provision of free samples, it is often carried out a promotional event of the sale of goods by electronic coupon. Then, the type of goods sold is very much in the shop, there is also a case where the number of the manufacturer (the manufacturer) is large. When, where, to plan whether to perform a promotional event of how a product is often a manufacturer. In other words, the initiative of promotional events, a large number of manufacturers is holding. Then, to take advantage of the data by the manufacturer to create efficient, it becomes important to connect to the visitors to the store.

However, the information distribution apparatus of cited document 1 does not have a view to take advantage of the data for a number of manufacturers. Information distribution apparatus of cited document 1, although to select the type of electronic coupons to be distributed to the user, not being compared to quantitatively the extent it is preferable to distribute to a user for each electronic coupon. Thus, a truly electronic coupon suitable to the user to be distributed to the user is not being objectively collateral.
Accordingly, the present invention uses the data to create a number of manufacturers, and an object thereof is to determine a product that consumers truly have an interest in high accuracy.

Information distribution apparatus of the present invention, the information in association with product, showing a store the goods are distributed or sold, and when the goods are distributed or sold in the shop, commodity, that stores and time can be published, There a storage unit that stores the order information is stored, the mobile from the order information, to extract the products associated with information indicating that can be published, located within the store locations at a predetermined distance to the terminal device, the extracted product, as well, characterized in that it comprises a product-related information including the shop and the time associated with the product, and a control unit for sending before the time arrives.
The other means will be described among the embodiments of the invention.

According to the present invention, by using the data to create a number of manufacturers, comprising a product with consumer truly have an interest can be determined with high accuracy.

Is a diagram illustrating the configuration of the information distribution apparatus. Is a diagram illustrating an example of the order information. (A) is a diagram showing an example of a store master. (B) is a diagram showing one example of a product master. (C) is a diagram showing an example of the event information. Is a diagram showing an example of user information. Is a diagram illustrating an example of viewing information. (A) is a diagram showing an example of a POS information. (B) is a diagram showing an example of inventory information. It is a sequence diagram of the overall procedure. It is a flowchart of the event planning process procedure. Is a flowchart of a visit attract procedure. Is a flowchart of the re-visit attract procedure. It is a flow chart of the reporting procedure. (A), (b), (c), (d) and (e) is a diagram showing an example of the registration screen. (A) is a diagram showing an example of a search screen. (B) is a diagram showing an example of the map screen. (C) is a diagram showing an example of a detailed screen. (A) is a diagram showing one example of a product questionnaire screen. (B) is a diagram showing an example of a detailed screen. (C) and (d) are diagrams illustrating a game screen. (A) is a diagram showing an example of a store for pre-report. (B) is a diagram showing an example of a store for post reports. (A) is a diagram showing an example of a manufacturer's posterior report. (B) is a diagram showing an example of a manufacturer's summary report.

Hereinafter, the embodiments of the present invention (referred to as "the present embodiment") will be described with reference to FIG like.

(The term, etc.)
The term "manufacturer", is a person who manufacture the goods. The manufacturer, raised the profile of the product, and it is an object of extending the sales. For this reason, it is often to plan the event (details below), such as to distribute the trial Hinto of goods to the consumer. Be distributed free samples to consumers who do not have an interest in the product, free sample will only be dead storage. Therefore, the manufacturer, the consumer wants to visit the store in search of consciously its sample. Furthermore, manufacturers are willing to use the analysis results, such as the preference pattern of consumers for sales growth.

The "store", purchasing the goods from the manufacturer, in its own commercial facilities, is a person to sell the purchased goods to the consumer. Store, the "virtual store" on the Internet in the competitive relationship. The store also, to increase the number of consumers who visit, are intended to be extended its own sales. Therefore, take a cooperative stance for the event by the manufacturer to plan. However, store, does not hope that the consumer who visits chance after receiving the accident sample, would be the sample will eventually dead storage. The store also, consumers know in advance the distribution schedule of the sample is, hopes to visit in search of the free sample. In addition, the store also hopes to use consumer preference patterns, the results of an analysis of such behavior pattern for sales growth.

The term "consumer", a person who purchases a product at the store. This embodiment is an example to attract visit to a user, such as a mobile terminal device. Accordingly, in the present embodiment, "consumer" is synonymous with "user", and later, using the word primarily "user".

"Distributors" is, to transport the goods from the manufacturer to the store, are those who contract from the manufacturer or store to temporarily store the goods in the process. If the capital relationship between the manufacturer (or store) and distributors also. In addition, in some cases they are the same entity.

"Information distributor" is, the information about the manufacturer's plan events, delivered in advance to the user, is a person to attract the visit. Further information distributor is preference pattern of the user, and analyze the behavior pattern or the like, to deliver the results of the analysis to the manufacturer and the store.
"Event" and the manufacturer, a sales promotion campaign implemented by the person who has been commissioned from the store or their. In some cases personnel for the event is dispatched. Event is carried out in order to distribute a "sample" (sample for free distribution) of the product you want to mainly extend the manufacturer's sales. However, for example, the new product itself to sell for a fee, such as possible to ensure that sell the products sales volume is limited, events for other purposes may be performed.

(Information distribution apparatus)
Along 1, the configuration of the information distribution apparatus 1. Information distribution apparatus 1 is a general computer. Information distribution apparatus 1 has a central control unit 11, a keyboard, an input device 12 such as a mouse, an output device 13 such as a display, a main memory 14, an auxiliary storage device 15 and communication device 16. These are connected to each other by a bus. In the main memory 14, event planning unit 21, visit attracting unit 22, re-visit attraction unit 23 and the report creating part 24 is a program. If you later describing the principal as "○○ unit", the central control unit 11, reads out the program from the auxiliary storage device 15, upon loaded into the main memory 14, the function of each program (details below) It shall be realized. The auxiliary storage device 15, the order information 31, store master 32, commodity master 33, the event information 34, user information 35, and stores the browsing information 36 and POS (Point of Services) information 37 (both detailed later).

Information distribution apparatus 1 via the network 6, the manufacturer server 2, distributor server 3 can communicate with the portable terminal apparatus 4 and the shop server 5. Manufacturers server 2 stores the order information 31 and the commodity master 33. Shop server 5 stores the POS information 37 and the stock information 38 (details below). And order information 31 auxiliary storage device 15 of the information distribution apparatus 1 stores, the order information 31 by the manufacturer server 2 stores the same. A POS information 37 the auxiliary storage device 15 of the information distribution apparatus 1 stores, the POS information 37 shop server 5 stores the same.

(Order information)
Along 2, illustrating the order information 31. Due to space limitations in Fig. 2, the order information 31 has been described is divided into two upper and lower stages, in fact is of one (4, 5, and FIGS. 6 (a) as well). In the order information 31, in association with the order ID stored in the order ID field 101, the order time in order time column 102, ship time to ship time column 103, arrival expected arrival time column 104 the scheduled time, the product ID in the product ID column 105, quantity in the quantity column 106, the store ID to the shop ID column 107, Open or not the flag is in the public propriety column 108, published in the public time column 109 time, information disclosure range in information disclosure range section 110, distribution form the distribution form field 111, the actual vector used for actual use vector field 112, the distribution morphological evaluation vector to the distribution form evaluation vector field 113 , product classification evaluation vector in the commodity classification evaluation vector field 114, preference evaluation vector to the preference evaluation vector field 115, the brand evaluation vector field 116 brand Review Vector, profile evaluation vector is stored in the profile evaluation vector field 117.

Order ID Order ID column 101 is a uniquely specifying identifiers an order for products to manufacturers from the store.
Order Time Order time column 102 is the YearMonthDayHHMM of time the order was placed.
Ship time of ship time column 103, items from the manufacturer (or distributor's warehouse) the store is a YearMonthDayHHMM time scheduled to be shipped.
Estimated time of arrival of the scheduled arrival time column 104 is a date hour and minute of the time of the scheduled item arrives at the store. It should be noted that the predetermined period of time from the arrival time (for example, with the exception of the non-business hours, such as at night and on holidays "1 hour") referred to as the elapsed time of the "event start time". (Details below). Event start time column is provided in the order information 31, "event start time" it may be stored in the column. In the following, in order to simplify the description, estimated time of arrival is assumed to be the same as the event start time.
Product ID Product ID column 105 is a uniquely specifying identifiers products.
Quantity of the quantity column 106 is the quantity of goods that have been ordered.
Shop ID of the shop ID column 107 is an identifier for uniquely identifying the shop.
The right part of the double line of the order information 31 is one of the features of the present invention.

Public availability flag of the public availability column 108 is either "×" indicates that it is a "○" or not indicate that it is possible to expose the implementation of events to the user.
Publishing time public time column 109 is the YearMonthDayHHMM time to expose the implementation of events to the user. Publish time, it is before the event start time.
Information disclosure range of information disclosure range section 110 is in a range of administrative including point store events that are exposed is performed is located.
Distribution form of distribution form field 111 is in the form of product is distributed or sold, the following 6 Tsugaaru.
"Freebie" indicates that the goods will be distributed as a free sample.
"New Product" indicates that the item has not been sold in the past.
"Limited production" indicates that the production of goods is limited (not additional production).
"Rare item" indicates that the production of goods has been extremely limited.
"Popular products" indicates that shipments of the product is large compared to other similar products.
"With bonus" indicates that the premium is attached to a commodity.
It should be noted that, in the distribution form other than "free sample", the goods are sold for a fee.

Using actual vector of use results vector field 112, of the use record of the user of the information delivery apparatus 1, a vector indicating which should attract users to the event having any actual use. Now, to use proven, "information registration of the presence / absence of the distribution device", "presence / absence of purchase using the information distribution device", "of the purchase using the information distribution apparatus in the most recent within the last 3 months Yes / No "and" four of the presence / absence of the purchase of the information distribution device their own products using the "it is assumed that there is. Then, use record vector is four-dimensional vector as follows. Four components of use results vector is either "Yes" indicates "1" or an "absence" to "0".
Use proven vector :( information presence / absence of registration to the distribution device, the presence / absence of purchase using the information distribution apparatus, presence / absence of purchase using the information distribution apparatus in within the last of the past three months, the information distribution device presence / absence of the purchase of their products using a) = (1, 0, 0, 0)
As mentioned was "(1, 0, 0, 0)" is an example, to a user in the past, but finished the registration to the information distribution apparatus 1, rather than purchase using the information distribution apparatus, and therefore the most recent of the past three months without any purchase using the information distribution apparatus in within, it is shown that there is no purchase of their products using the information distribution device.

Distribution form evaluation vector of distribution form evaluation vector field 113 is a vector indicating the allocated points by the manufacturer given for each of the distribution form. Since distribution form There are six, distribution form evaluation vector is a six-dimensional vector as follows. The sum of the six components of the distribution form evaluation vectors predetermined value (here, "10") it is.

Scoring for the distribution morphological evaluation vector :( sample, Scoring for the new products, Scoring for limited production, allocated points for the rare item, Scoring for popular products, Scoring for with bonus) = (10,0,0,0,0,0 )
Exemplified as "(10,0,0,0,0,0)" Examples, manufacturer, it gives "10" for interest to the user's sample, the interest in other distribution form indicating that at all does not give a point for. Another example "(5,0,5,0,0,0)", the manufacturer provides a "five-point" for interest to users free sample, relative interest in limited production given "5 points", it indicates that not give at all points against the interest in other distribution form.

Categories Evaluation vector of Categories rating vector field 114 is a vector indicating the allocated points by the manufacturer given for each product category. Product category is a category of goods, "drink", "food", of "amenity goods (bathroom-related products)", "stationery", "cosmetics", "poster", "toys" and "Other" 8 Tsugaaru. Since the product category is 8-fold, product classification evaluation vector is 8-dimensional vector, such as the following. The sum of the eight components of the product category rating vectors predetermined value (here, "10") it is.

Categories evaluation Scoring for the vector :( drink, Scoring for food, Scoring for amenity goods, Scoring for stationery, Scoring for cosmetics, allocated points for the poster, Scoring for toys, allocated points for the other) = (10,0,0,0,0 , 0, 0, 0)
Exemplified as "(10,0,0,0,0,0,0,0)" Examples, manufacturer, gives "10" for interest to the user drinks to other Categories It shows that you do not give the exact point for the interest. Another example "(5,0,0,0,5,0,0,0)", the manufacturer, giving a "five-point" for the interest to the user of the drink, for the interest in the cosmetics given a "five-point" Te, indicating that does not give the exact point for the interest in other product categories.

Preference evaluation vector of preference evaluation vector field 115 is a vector indicating the allocated points by the manufacturer given for each of the preferences of the user. Taste and is a favorite or behavioral characteristics of the user, "sweet tooth / normal / drinker", "tea like / normal / hate", "dark taste food is love / normal / dislike of", "exercise is love / normal / hate "," health have not been and / neither / death care "," 7 Tsugaaru of every day in the convenience store go / not sometimes go / go "and" shopping like / normal / hate ".

Preference is because the seven, preference evaluation vector is a seven-dimensional vector as follows. The sum of the seven components of the preference evaluation vectors predetermined value (here, "10") it is.
Scoring for the preference evaluation vector :( sweet tooth / normal / drinker, tea Scoring for love / normal / hate, dark taste of food Scoring for love / normal / hate, Scoring for love / normal / hate exercise, care about health Scoring for and are / are not neither / to, allocated points for the not go / sometimes go / go every day to the convenience store, shopping like / normal / Scoring against hate) = (10,0,0,0,0,0, 0)

Exemplified as "(10,0,0,0,0,0,0)" Examples, manufacturer, gives "10" for the preference of the user having "sweet tooth / Normal / drinker", other It shows that you do not give the exact point for the preference. Another example "(5,0,0,0,5,0,0)", the manufacturer provides a "five-point" for preference of a user having "sweet tooth / Normal / drinker", "Health the care to have / can not say / to not give a 5-point "" for the taste of ", indicating that does not give the exact point for other preferences.

Brand evaluation vector brand evaluation vector field 116, for each brand selected by the user, a vector indicating the allocated points by the manufacturer gave. Brand is a trademark that has been attached to a commodity. The brand, "beverage brand A", "beverage brand B", "confectionery brand C", "confectionery brand D" "clothing brand E", there are a number of things like .... For simplicity of explanation, now, brand, "A", "B", "C", and "D" and that only five of the "E" present. Then, brand evaluation vector is a five-dimensional vector, such as the following. The sum of the five components of brand evaluation vector predetermined value (here, "10") is.

Scoring for brand evaluation vector :( beverage brand A, Scoring for beverage brand B, Scoring for confectionery brand C, Scoring for confectionery brand D, Scoring for clothing brands E) = (10,0,0,0,0)
Exemplified as "(10,0,0,0,0)" Examples, manufacturer, gives "10" for interest in the beverage brand A user, with respect to interest in other brands It shows that you do not give at all points. Another example "(5,0,5,0,0)", the manufacturer, giving a "five-point" for the interest in the beverage brand A of the user, for the interest in the confectionery brand C " given a 5-point ", indicating that it does not give the exact point for the interest in other brands.

Profile Evaluation vector of profile evaluation vector field 117 is a vector indicating the allocated points by the manufacturer given for each of the personal information of the user. There are a variety of personal information. Here, however, for the sake of simplification, personal information, and are two of the sex and age group. Profile evaluation vector is 8-dimensional vector, such as the following. The sum of the eight components of the preference evaluation vectors predetermined value (here, "10") it is.
A profile evaluation vector :( man, a woman, is less than 20 years of age, or more and less than 20 years old 30 years old, is less than 40 years of age or 30 years of age, or more and less than 40 years old 50 years of age, more than 60 50-year-old is less than age, is 60 years of age or older) = (5,0,0,5,0,0,0,0)

Exemplified as "(5,0,0,5,0,0,0,0)" The example given "5 points" for the personal information of "a male" users, "20 years of age or 30 indicating that give the 5 "point" to the personal information that "less than a year old is. Another example "(0,3,7,0,0,0,0,0)" gives the "3-point" for the personal information of "female in which" the user, is "less than 20 years of age indicating that give a 7 "point" to the personal information that ". As is clear in these examples, typically, when the first component from the left is other than "0", the second component is "0". Similarly, if the second component from the left is other than "0", first component is "0". However, On the product of unisex, the second component is also the first one of the components from the left from the left also is other than "0". Note that components having a value other than "0" of the third component-eighth component is not limited only one with.
In addition, each component of the profile evaluation vector, "buy at the convenience store is greater than or equal to 5000 yen a month", may be a "health-related purchase of goods is greater than or equal to 5000 yen a month" or the like.
Among the records of the order information 31, the public time field 109 to profile record "×" in Open or not field 108 is stored evaluated vector field 117 may be empty.

(Store master)
Along FIG. 3 (a), illustrating the store master 32. In store master 32, in association with the shop ID stored in the store ID field 121, store name to store name field 122, group name in the group name field 123, the position information is the position information column 124, site URL the site URL field 125, an image URL is stored in the image URL field 126.
Shop ID of the shop ID column 121 is the same as the shop ID in FIG.
Store name of the store name column 122 is a name of the store.
Group name Group name column 123, a group to which the store belongs (e.g. parent name, franchise name).
Position information of the position information column 124, the latitude and longitude of the point where the shop is located.
Site URL of the site URL field 125, a link information to the site on the store of the Internet.
Image URL of image URL field 126, a link information to the image on the store of the Internet.

(Product master)
Along in FIG. 3 (b), illustrating the commodity master 33. In the commodity master 33, in association with the product ID stored in the product ID column 131, a trade name for product name column 132, product classification in the Category field 133, a manufacturer name manufacturer name field 134 but contents in contents column 135, explanation for explanation sentence column 136, the target layer vector to the target layer vector field 137, site URL in the site URL field 138, an image URL field 139 image URL is stored.

Product ID Product ID column 131 is the same as the product ID of FIG.
Product Name of Product Name field 132 is the name of the product.
Categories of product category column 133 is the above-described product classification.
Manufacturer Name manufacturer name field 134 is the name of the manufacturer.
Contents of Contents field 135 is the content per product 1 sales unit (weight, volume, etc.).
Description of explanation sentence column 136 is a language for describing the product to the user.

Target layer vector of the target layer vector field 137 is a vector indicating an attribute of a primary user to purchase goods. Symmetric layer vector has the same type as the above-described profile evaluation vector. These differences, each component of the profile evaluation vector, whereas may correspond to future clientele in anticipation of future sales strategy, each component of the target layer vector, corresponding to the customer base of the current is that there. In general, it may not be possible to ignore the transition of the customer base of the product. For example, a commodity to be used by the future of the businessman, the case such as to attract to the current students, current situation of the customer base is "20 years of age or older man", the future of the customer base is "less than 20-year-old man". Therefore, manufacturers, while creating a target layer vector based on the product, separately, to create a profile evaluation vector based on events, it is also possible to investigate the reactions of users think that the future clientele.

Site URL of the site URL field 138, a link information to a site on the Internet of goods.
Image URL of image URL field 139, a link information to the images on the Internet of goods.

(event information)
Along in FIG. 3 (c), describing the event information 34. In the event information 34, in association with the stored event ID to the event ID field 141, the order ID in the order ID field 142, the shop ID to the shop ID column 143, the product ID in the product ID column 144 stores It is. That is, the event information 34 is one in which the order information 31, store master 32 and the commodity master 33 was synthesized order ID, the shop ID and item ID as the combination primary key. Then, the order ID, create one record for each combination of the store ID and product ID, event ID are numbered as an identifier that uniquely identifies the record. One of the record, the event on which the order for any item in any store indicates how is implemented.

(User information)
Along 4, illustrating a user information 35. In the user information 35, in association with the user ID stored in the user ID field 151, last the Ceylan 152, the Address 1 field 154 names are the names column 153 is first address, Address 2 field the 155 second address, date of birth on the birth date field 156, sex gender field 157, occupation occupation column 158, the SNS (Social Network System) information 1 column 159 the 1 of SNS information, the SNS information 2 column 160 is the second SNS information, distribution form vectors in distribution form field 161, product classification vectors in the Category field 162, the preference vector is the preference field 163 brand vector brand column 164, profile vector in profile column 165, the estimated preference vector to estimate the preference field 166, premium of the premium of column 167, heavy for the weight column 168 Vector is stored.

User ID of the user ID column 151 is a uniquely specifying identifier user.
Last name of Ceylan 152 is a user's last name (Mr.).
Name name field 153 is the name of the user.
The first address of the address 1 field 154 is the address of the administration of the point where the user is living (including zip code).
Second address Address 2 field 155 is the address of the administrative point the user works.
Birth date of birth column 156 is the date of birth of the user.
Sex gender field 157, a user gender.
Occupation of the occupation column 158 is a profession of the user.
First SNS information SNS information 1 column 159 is information required to access the first SNS used by the user. In place of the "power spot" (which is the name of SNS), "Type = twitter, id = Hitach" may be information such as.
Second SNS information SNS information 2 column 160 is information required to access the second SNS used by the user.

Distribution form vector of distribution form field 161, for each of the distribution form is a vector indicating the value of the user entered "1" or "0". As described above, since the distribution form There are six, the six-dimensional vector, such as a distribution form vector also less.
Distribution form vector :( free samples, new products, limited production, rare items, popular products, with bonus) = (1,1,0,0,0,0)
As examples "(1,1,0,0,0,0)", the user has an interest in free sample and new products, we have an interest for other distribution form It shows that there is no.

Categories vector of product category column 162, for each of the items for classification, a vector indicating the value of the user entered "1" or "0". As described above, since the product segment 8 There is 8-dimensional vector, such as a product category vector also less.
Categories vector :( drinks, food, toiletries goods, stationery, cosmetics, posters, toys, etc.) = (1,0,0,0,1,0,0,0)
Was cited as an example "(1,0,0,0,1,0,0,0)", the user has an interest in drinks and cosmetics, have the interest for other product categories to show that not.

Preference vector of the preference field 163, for each of preference of the user, the user inputs "1", is a vector indicating a value of "0" or "-1". As described above, preference is because the seven, a seven-dimensional vector, such as a preference vector also less.
Preference vector :( sweet tooth / normal / drinker, tea love / normal / hate, dark taste food is love / normal / dislike of, like the movement / normal / hate, health is not an either have to care / / to have no, go / sometimes go / do not go every day to the convenience store, love / normal / hate shopping) = (1, -1, 0, -1,1,1,0)

Here, "1", among the three options which are divided by two "/" indicates that the user has selected a left alternative. Similarly, "- 1" indicates that the user has selected the right choices. "0", the center of choices that the user has selected, or indicate that none selected. In other words, it was cited as an example "(1, -1, 0, -1,1,1,0)", the preference of the user, "sweet tooth", "tea hate", also like the food of the "dark taste nor hate (or non-selection) "," movement indicates that the hate "," is have to worry about health "," convenience store to go every day "and" neither hate, even love shopping ".

Brand vector brand column 164, for each of the brands, a vector indicating the user's selection results. "1" indicates that the user has selected the brand, "0" indicates that you did not select. As described above, the brand since the five certain brand vector also becomes five-dimensional vector as follows.
Brand vector :( beverage brand A, beverage brand B, confectionery brand C, confectionery brand D, fashion brand E) = (1,0,1,0,0)
Exemplified as "(1,0,1,0,0)" Examples, the user has an interest in the beverage brand A, have interest in confectionery brand C, for other brands indicating that does not have an interest. Incidentally, components of the brand vectors, "1" may be any of the values ​​of "0" or "-1". In this case, "1" is aggressively it is like, "- 1" aggressively it is hate, "0" indicates, it is not any of the above.

Profile vectors of profile fields 165, the value of each item of the personal information input by the user, a vector indicating "1" or "0". Similarly to the above, for simplicity, the personal information is assumed to be two of gender and age. The profile vector is also an 8-dimensional vector as follows.
A profile vector :( men and women, is less than 20 years of age, to less than 20 years old 30 years old and less than 40 years of age or 30 years of age, or more and less than 40 years old 50 years old, 60 years of age or 50 years of age a is less than, is 60 years of age or older) = (1,0,0,1,0,0,0,0)
As examples "(1,0,0,1,0,0,0,0)" indicates that the user is male or more and less than 20 years old 30 years old. As is evident in this example, if the first component from the left is "1", components of the second one is always "0". If the first component from the left is "0", the components of the two eyes is always "1". Furthermore, among the third component-eighth components "1" is only one, all others are "0".

The profile vector, not only shows gender and age groups. However, for example, "(civil servants, company employees, self-employed, students, ...) = (1, 0, 0, 0,...)" It is possible to represent the profession as. In addition, "(Tokyo, Chiba, Kanagawa Prefecture, ...) = (1, 0, 0,...)" The State of the address as, further hierarchically subordinate address (city, ward, town, chome, etc.) can be represented.

Estimation preference vector of the estimated preference vector field 166, if the user does not enter a preference, the information distribution apparatus 1 is a preference vector to estimate automatically (detail below). Incidentally, "#" indicates an estimated value.
Premium of the premium of column 167 is the degree of preferential manufacturer gives to the user. For example, the larger the contribution to the trade questionnaire, the larger the purchase price of the product, premium level increases (details below).
Weight vector weights column 168 is a vector with weights used in calculating the degree of interest, etc. Product and user for which events are matches as component (details below).

(View information)
Along 5, illustrating the browsing information 36. In browsing information 36, in association with the user ID stored in the user ID field 171, event ID in the event column 172, product ID in the product ID column 173, phase to phase column 174, date and time field 175 date and time is to have, viewing place to browse location column 176, the game result in the column 177 game result, the coupon amount is in the coupon amount fields 178, item questionnaire results are stored in the commodity questionnaire column 179.

User ID of the user ID column 171 is the same as the user ID in FIG.
Event ID of the event column 172 is the same as the event ID of FIG. 3 (c).
Product ID Product ID column 173 is the same as the product ID of FIG. 3 (b).
Phase of the phase field 174, the user since it was informed that it is expected that the event is carried out about the product, is the following events up to purchase items through an electronic coupon.

"Map screen browsing" indicates that the mobile terminal apparatus 4, displaying the map screen 227 events attract (FIG 13 (b)).
"Detail screen browsing" indicates that the mobile terminal apparatus 4, displaying the details screen 228 events attract (Figure 13 (c)).
"Store site browsing" is, the portable terminal device 4, indicating that the display of the store site.
"Commodity site browsing" is, the portable terminal device 4, indicating that the display of the site of the product.
"Schedule registration" indicates that the user has registered to "schedule" the information of the event (details below).
"Free sample receipt" indicates that the user has received a free sample at the store.

"Product questionnaire receiving" indicates that the mobile terminal apparatus 4 has received the item questionnaire 229 (FIG. 14 (a)) from the information delivery apparatus 1.
"Product survey results send", the mobile terminal device 4, show that it has sent the results of the product questionnaire to the information distribution apparatus 1.
"Game execution" indicates that the user performs a game, a portable terminal apparatus 4 has transmitted the game result (score) to the information distribution apparatus 1.
"Electronic coupon reception" indicates that the portable terminal apparatus 4 receives the electronic coupon.
"Electronic coupon use" is, in the shop, indicating that the user has made a purchase using an electronic coupon.

Date and time of the date and time column 175 is a date, hour, minute and second of the time the event occurs.
View location View location column 176 is the position information of the portable terminal apparatus 4 at the time when the event occurs (latitude, longitude).
Game result of the game result column 177, a number of users went game.
Coupon amount of the coupon amount column 178 is the amount of electronic coupon that the user has used in the store.
Product Survey Results Product questionnaire column 179 is the content which the user has responded to item questionnaire 229 (FIG. 14 (a)).

Browsing information 36, as a whole, stores the user has what using a mobile terminal device 4 in time series (records 201-211). Game result column 177, a coupon amount fields 178 and item questionnaire column 179, respectively, phase has the data only in the record is the "game execution", "electronic coupon received (or use)" and "items questionnaire sent".

(POS information)
Along 6, illustrating a POS information 37. In POS information 37, in association with the shop ID stored in the store ID field 181, the user ID is the user ID field 182, event ID to the event ID field 183, the product ID in the product ID column 184, quantity is the quantity column 185, phase to phase field 186, date and time to the date and time column 187, commodity amount of money in the commodity amount of money column 188, the coupon amount is in the coupon amount fields 189 are stored.

Shop ID of the shop ID column 181 is the same as the shop ID in FIG. 3 (a).
User ID of the user ID column 182 is the same as the user ID in FIG.
Event ID of the event ID field 183 is the same as the event ID of FIG. 3 (c).
Product ID Product ID column 184 is the same as the product ID of FIG. 3 (b).
Quantity of the quantity column 185, the user (received in or free) to purchase a quantity of goods.
Phase Phase column 186 is the same as the phase of FIG. However, where phase is either "free sample receiving" or "electronic coupons used".
Date and time of the date and time column 187, the user is a year, month, day, hour, minute and second of time (received in or free) you have purchased the goods.
Commodity price of a product, the amount column 188 is the amount paid by the user (the product of the unit price and quantity of goods).
Coupon amount of the coupon amount column 189 is the amount of electronic coupon that the user has used, is an internal number of goods amount of money.

POS information 37, the user has stored in chronological order it has what in the shop as a whole. POS information 37, the user not only records 212 and 213 in the case of visiting undergoing attract events, it is also stored records otherwise. Otherwise, event ID field 183, the phase field 186 and coupon amount fields 189 indicates that no value "-" is stored. Of if you visit, phase is also in the product price field 188 of the record 212 is "free sample receipt", "-" is stored.

(Inventory information)
Along in FIG. 6 (b), illustrating the stock information 38. In inventory information 38, in association with the shop ID stored in the store ID field 191, product ID in the product ID column 192, the number of stocks are stored in the stock number column 193.
Shop ID of the shop ID column 191 is the same as the shop ID in FIG. 3 (a).
Product ID Product ID column 192 is the same as the product ID of FIG. 3 (b).
Inventory of the stock number column 193 is the number of products in stock in the store.
The shop server 5 maintains the always up-to-date information the value of each record of the stock information 38.

(The entire processing procedure)
Along 7, illustrating the overall procedure.
In step S1, the manufacturer server 2 transmits the order information 31 and the like to the distributor server 3. Then, distributors server 3, narrow down what should be exposed to the user from among the huge order information 31, and transmits the order information 31 narrowed down to the information distribution apparatus 1. After that, the goods, are shipped to the store.
In step S2, the information distribution apparatus 1 creates event information 34 is displayed on the mobile terminal apparatus 4. Then, the user can browse the various screens relating to events on the portable terminal apparatus 4. Then, the portable terminal apparatus 4 transmits the viewing history of the user to the information distribution apparatus 1. Thereafter, the user, to visit in order to get a free sample to participate in the event.

In step S3, the shop server 5 transmits the POS information 37 about the visit of the user to the information distribution apparatus 1. Then, among the information distribution apparatus 1 and the portable terminal apparatus 4, item questionnaire item questionnaire results, after the game and the game result are transmitted and received, the information distribution apparatus 1 transmits the electronic coupon to the portable terminal apparatus 4. Thereafter, the user, to re-visit in order to purchase items using an electronic coupon. Then, the shop server 5 transmits the POS information 37 related to re-visit of the user to the information distribution apparatus 1.
In step S4, the information distribution apparatus 1, a report is sent to the manufacturer server 2 and the store server 5. Although described order is reversed, immediately after the step S2, the information distribution apparatus 1 transmits the pre-report to the shop server 5.
Note that the steps S1, S2, S3 and S4 the entire processing procedure, respectively, event planning procedure (FIG. 8), visit attract procedure (FIG. 9), revisit attract procedure (Figure 10) and reporting process in detail below as a procedure (Fig. 11).

(Event planning process procedure)
Along 8, details of the event planning procedure (S1 in FIG. 7).
In step S301, the distributor server 3 receives the order information 31 (FIG. 2) from the manufacturer server 2.
In step S302, the distributor server 3 delegate control to the information distribution apparatus 1. Specifically, distributor server 3, the operator of the distributor server 3 accepts the to input predetermined instruction, establishes communication with the information distribution apparatus 1 to start the event planning unit 21. Thereafter, the agent that executes the processes of steps S303 ~ S306 is a event planning unit 21 of the information distribution apparatus 1.
In step S303, the event planning unit 21 receives the order information 31. Specifically, the event planning unit 21 receives order information 31 (FIG. 2) from the distributor server 3.

In step S304, the event planning unit 21, narrow down the order information 31 should be public. Specifically, the event planning unit 21 acquires a record of the order information 31 satisfying all of the following conditions.
(1) that the public whether or not the flag is "○".
(2) distribution form is that the operator of the information distribution apparatus 1 matches one that is specified through the input device 13. Later it will be described an example in which the distribution form "sample" is specified.
(3) the time of the present time that is later than the published time.
(4) actual use vector has a "1" is a component, and at least one indicating the actual use of them, the operator of the information distribution apparatus 1 matches one that is specified through the input device 13 about.

In step S305, the event planning unit 21 instructs the label attached. Specifically, the event planning unit 21 and the instruction to attach a "label" in item record Product ID of the order information 31 to identify acquired in step S304, and transmits to the distributor server 3. The "label" it is assumed that the order ID is stored.
In step S306, the event planning unit 21 instructs the ship. Specifically, the event planning unit 21, the record of the order information 31 items of product ID to identify acquired in step S304, instructs the distributor server 3 indicating the ship to the store to shop ID of the record to identify to send to. Then, event planning unit 21 ends the event planning process procedure.
Depending agreement between the distributors and the information distributor is the entity which executes the processing described in step S303 ~ S306, it is also possible to distributor server 3. In this case, distributor server 3 does not need to send the instruction in step S305 and S306 to the outside.

(Coming to the store to attract processing procedure)
Along 9, illustrating details of visits attract procedure (S2 in FIG. 7).
In step S311, the visit attracting portion 22 of the information distribution apparatus 1, the manufacturer server 2, receives the goods master 33.
In step S312, the visit attracting unit 22 creates the event information 34 (Figure 3 (c)). Specifically, visit attracting unit 22, the (record is narrowed down) order information 31 acquired in step S304, commodity master 33 obtained in step S311, and synthesizes the store master 32 as described above, to create an event information 34.

In step S313, visit attracting unit 22 determines whether done so user registration. Specifically, visit attracting unit 22, if done so the user registration (Step S313 "YES"), the process proceeds to step S315. If the user registration is not completed (step S313 "NO"), the process proceeds to step S314.

In step S314, the visit attracting unit 22 receives the user registration, and registers. More specifically, the first, visit attracting unit 22 sequentially displays the portable terminal apparatus 4 to the registration screen 221-225 (FIG. 12 (a) ~ (e)), successively accepting input of the user. The user inputs to the registration screen 221, first name, last name, the ..., in the registration screen 222, select the distribution form that you want, in the registration screen 223, select the product category you want, the registration screen 224 in, select the brand you want. In this case, visit attracting unit 22, the registration screen 221, the input required, between the other input items, the display mode (character font, color, etc. of the background) may be changed. Incidentally, the registration screen 222-224, displays a "○" in the user selected fields, the field not selected may display a "×". The user then, to the registration screen 225 by selecting one of the three choices of answers to the question, enter preferences itself (preference pattern, behavior patterns).

Second, visit attracting unit 22 creates a new record in the user information 35 (FIG. 4), the received data in the "first" in step S314, the fill each column of the new record. Data input to the registration screen 201 corresponds to the columns 152 to 160 of the new record. Data input to the registration screen 222 corresponds to the distribution form field 161 of the new record ( "○" corresponds to "1", "×" corresponds to "0". Similarly .). Data input to the registration screen 223 corresponds to the product classification field 162 of the new record. Data input to the registration screen 224 corresponds to the brand space 164 of the new record. Data input to the registration screen 225 corresponds to the preference field 163 of the new record. ( "Left" corresponds to "1", "right" corresponds to "-1", "middle" or "no selection" corresponds to "0".) In addition, visit attracting unit 22 is registered create a profile vector described above based on the input data on the screen 221, and stored in the profile field 165 of the new record.

Third, visit attracting unit 22 numbered user ID, and stores the user ID field 151 of the new record. Furthermore, visit attracting unit 22, estimates the preference field 166, the premium of the column 167 and the weight column 168, an initial value, respectively "(0,0,0,0,0,0,0) #", "0" and stores "(0.1,0.1,0.1,0.1,0.1,0.1,0.1)".

In step S315, visit attracting unit 22 receives the position information. Specifically, visit attracting unit 22 acquires the position information in the current of the portable terminal device 4 all users. Visit attracting unit 22, regardless of whether the record of the browsing information 36 (FIG. 5), GPS uses (Global Positioning System) technology, and it can obtain the current location information of all users.

In this case, visit attracting section 22 may display the search screen 226 (FIG. 13 (a)) to the mobile terminal apparatus 4. Incidentally, in principle, the data displayed in the "position information" column of the search screen 226 is the position information of the current portable terminal device 4, data displayed in the "Search time" column, the present time it is. Then, data of "Search distribution form" column and "Search Categories" field is a past data before the user has registered. However, the user, the search distribution form field (or search Categories column), it is also possible to re-enter one or more distribution form (or product category). Then, visit attracting unit 22, the information just entered immediately updates the distribution form vector 161 of the user information 35 (or the product classification vector 162). This processing, rapid climate, changes in circumstances (for example, suddenly temperature is cold drinks will want to rise, makeup fall wet with rain, are asked to take-away lunch from the family in the way home) particularly effective in it is.

In addition, the user, it is also possible to re-enter the position information of the point of going to arrive in the future itself near as position information. Then, visit attracting unit 22 executes a process of step S316 to be described later by the location information that has just been entered. This processing, for example, is particularly effective in cases such as when the user currently riding the train arrives at the station in a few minutes.

In step S316, visit attracting unit 22 creates a display candidate information (immediately below). Specifically, visit attracting unit 22, for all users, all satisfying record of the following is obtained from the event information 34.

(1) Event ID event start time associated with the (column 141) is, it is after the current time.
(2) the point of location information associated with the store ID (column 143) is predetermined from the point position information in the current user of the portable terminal apparatus 4 (or close information point in the future users arrive planned) in the range of distances, and sometimes in the information disclosure range.
(3) Event ID component corresponding to the distribution form associated with the (column 141) is a "1" in the distribution form vectors in the record of the user information 35 with a user ID for identifying the user.

(4) Product ID component corresponding to the product categories that are associated with the (column 144) is a "1" in the product classification vectors in the record of the user information 35 with a user ID for identifying the user.
Incidentally, in the user search screen 226 may delete the search distribution form. In this case (meaning unconditional), visit attracting unit 22 is assumed to ignore said (3). Similarly, the user may delete the search product category. In this case, visit attracting unit 22 shall ignore the (4)

Visit attracting unit 22, the processing of step S316, it is repeated for each user. Then, for one user ID, it creates the acquired event ID of the record of the event information 34 associating the (often multiple event ID is acquired) "displayed candidate information", the main storage 14 and temporarily stores.

At the time of the completion of the iterative process, visit attract section 22, "(U101: E101, E102, E103, ···), (U102: E111, E112, ···), (U103: E121, E122, E123, E124, ···), so that you are creating a display candidate information such as ... ".

In step S317, visit attracting unit 22 rearranges the display candidate information. More specifically, the first, visit attracting unit 22, for all users, and, for all the event ID associated with the user in the display candidate information, using the formula "display priority score to calculate the ".
Display priority score = w 1 × (V 1 * v 1) + w 2 × (V 2 * v 2) + w 3 × (V 3 * v 3) + w 4 × (V 4 * v 4) + w 5 × (V 5 * v 5) + w 6 × premium of + w 7 × (D 1 -D 2)

Here, V 1 is the a distribution form vector of, v 1 is a distribution form evaluation vector of the. V 2, said a goods classification vector, v 2 is said of the product category evaluation vector. V 3 is the a preference vector of, v 3 is the preference evaluation vector of the. V 4, said a brand vector, v 4 is the brand evaluation vector. V 5 is the a profile vector, v 5 is the profile evaluation vector. D 1 is the date of the current point in time, D 2 is the date of the event start time. Normal "(D 1 -D 2)" becomes a negative value, value as the event is imminent is close to "0".

w 1, w 2, w 3 , w 4, w 5, w 6 and w 7, respectively, (V 1 * v 1) , (V 2 * v 2), (V 3 * v 3), (V 4 * v 4), a coefficient to be multiplied by (V 5 * v 5), Premium degrees and (D 1 -D 2), a vector stored in the weight field 168 of the user information 35 (FIG. 4) (from left to right, "w 1", "w 2", ···) each component is. "*" Is an operator indicating a calculation for calculating the inner product of two vectors (sum of the products of each component). As apparent from the above, the display priority score is a value indicating the imminent degree from affinity and the present time of the product according to the interests, etc. and events of the user to the event start time, defined for each combination of user and event It is. Therefore, the display priority score, for example, will be expressed as Sc (U101, E101).

Second, visit attracting unit 22, for each user, the event ID included in the display candidate information, it rearranges the descending order of the display priority score, to create a "display order" (immediately below examples). Now, one display candidate information is, "(U101: E101, E102, E103)" is, and, Sc (U101, E101) <Sc (U101, E102) <assumed to be Sc (U101, E103) . Then, coming to the store to attract section 22,: and thus to create the display order of [U101 E103, E102, E101].
Visit attracting unit 22, the processing of step S317, it is repeated for each user. Then, to create a "display sequence" for each user, and temporarily stored in the main storage device 14.

In step S318, visit attracting unit 22 determines the event information to be transmitted. Specifically, visit attracting unit 22, a predetermined positive integer and "n", the display order ":" Event ID that appears in the right from the left "n" pieces just acquired, " to create a display determination information "(below is an example immediately). Assuming that a n = 2, visit attracting unit 22, the display order "[U101: E103, E102, E101]" based on the display determination information: to create a "<U101 E103, E102>" Become. Visit attracting unit 22, the processing of step S318, it is repeated for each user. Then, to create a "display determination information" of each user, and temporarily stored in the main storage device 14.

Visit attracting unit 22, instead of the above-described normal processing may be omitted the process of step S317 (referred to "simplified process"). In other words, for example, display candidate information "(U101: E101, E102, E103, ···)" directly display determination information from "<U101: E103, E102>" may be created. However, in this example, n = 2, visit attracting unit 22 of the display candidate information ":" I shall get random manner "n" pieces only from among the event ID that appears in the right of .

In normal processing, visit attracting unit 22, and an input of the manufacturer specified the user, is made to coincide for each distribution form and Categories (step S316). However, specification of the manufacturer is one point as each "free sample" and "beverage". Some products, which extends over a plurality of distribution form (e.g., sample, and, with bonus) also. In addition, those that are across multiple product categories (for example, drinks and cosmetics) is also there. And, in the future to the user with an interest in current drink there may be hope of manufacturers such as you want to provide a cosmetic. Normal processing, in consideration of the above circumstances, it is particularly effective when you want to give an order to the event. Simplification process is particularly effective when there is no margin in the processing capacity of the information distribution apparatus 1 and the portable terminal apparatus 4.

In step S319, visit attracting unit 22 transmits the map. Specifically, visit attracting unit 22, for each user, to the mobile terminal apparatus 4 to which the user uses to display the map screen 227 (FIG. 13 (b)). Visit attraction unit 22, on the map screen 227, which displays a plurality of icons "☆", "◎" and the like. These icons in the display determination information ":" corresponds to the right to the stored event ID. Furthermore, for example, the user, at step 315, enter the "sample" in the search distribution form field search delete data Categories column (product segment is being searched unconditionally) may also be. In this case, visit attract section 22, goods difference the icon of the type of classification ( "☆", "◎") also may be distinguished by, may display the product categories in relation to the icon. Furthermore, among the data stored in the product master 33 may be displayed in association with icons those given as "balloon".

In step S320, visit attracting unit 22 registers the browsing history. Specifically, visit attracting unit 22, the time of current, for receiving the event ID and product ID of the icon to display, as well as the user ID from the portable terminal apparatus 4. Then, by using the received data, to create a record 201 of the browse information 36 (FIG. 5).

In step S321, visit attracting unit 22 transmits the detailed information. Specifically, now, and you select the icon for there is a user "drink". Then, visit attracting unit 22, to the portable terminal apparatus 4, and displays the detail screen 228 (FIG. 13 (c)). Visit attracting unit 22, the detail screen 228, and displays the data store associated with the corresponding event data (store data in the master 32) and the products (data item master 33). In FIG. 13 (c), the link information to the link information and the store of the site to the site of products, are displayed as "http // ···". Link information to the image of the link information and the store to the image of the products, they are displayed as icons.

In step S322, visit attracting unit 22 registers the browsing history. Specifically, visit attracting unit 22, the time of current, for receiving the event ID and product ID associated with the selected icon, and the user ID from the portable terminal apparatus 4. Then, by using the received data, to create a record 202 of the browse information 36 (FIG. 5). The user can, for example, when browsing the store site (or product site), visit attracting unit 22, similarly to the above, to create a record 203 of the browse information 36 (FIG. 5) (or 204).

In step S323, visit attracting unit 22 registers the schedule. Specifically, the user is, and has been registered to "schedule" to display events that in detail screen 228. Is to be registered in the schedule, using any application that has a portable terminal device 4 or the external device, an event of the store, the date and time, as scheduled to be executed in the user in the future, any of the portable terminal device 4 or the external device it is to store the the storage area. In this case, visit attracting unit 22, from the portable terminal apparatus 4, the user receives the notification of the registration to schedule events. Then, similarly to the above, to create a record 205 of the browse information 36 (FIG. 5).

In step S324, visit attracting unit 22 transmits the visit attracting mail. Specifically, visit attracting unit 22, at the time when counting from the event start time of the event registered in the schedule going back a predetermined period, the portable terminal apparatus 4, and transmits the email. The e-mail, "○○ customers, Thank you for schedule registration. To ○ pm ○ May ○ day ○, ○○ wait to have in Iidabashi shop" that contains the message, such as. Here, visit attracting section 22 may transmit the mail against the shop server 5 simultaneously. In the store, it can be reserve a free sample Hinto for the user.
Visit attracting unit 22 repeats the processing of steps S319 ~ S324 for each user. Then, visit attracting unit 22 ends the visit attract processing procedure.
In addition, the "product-related information", said the "map", "detailed information" and "coming to the store to attract e-mail" is equivalent.

(Re-visit attraction processing procedure)
Along 10, illustrating a re-visit attract procedure. Re-visit attraction processing procedure starts in response that the user has visited. In the following, the user will now be described an example in which the visit to participate in a distribution form is "free samples" event. However, distribution form may be arbitrary.
In step S331, re-visit attracting portion 23 of the information distribution apparatus 1 receives a delivery report of sample. Specifically, the user using, for example, the portable terminal apparatus 4, "Schedule" is presented to the clerk screen registered. Then, the clerk, and passes the sample that had been set aside to user. At this time, the shop server 5, via its input device reads the order ID from the label attached to the sample, read the user ID from the portable terminal apparatus 4, order ID and information distribution user ID read to send to the device 1. Re-visit attraction unit 23, it receives it. Furthermore, the shop server 5 creates a record 212 of the POS information 37 (FIG. 6 (a)). The user will use the subsequent sample.

In step S332, re-visit attraction unit 23, to register the browsing history. Specifically, re-visit attraction unit 23, the time of current, and, using the data transmitted in the step S331, to create a record 206 of the browse information 36 (FIG. 5). Revisit attracting unit 23 as a key order ID, by retrieving the event information 34 may identify the product ID and event ID.

In step S333, re-visit attraction unit 23, to send the goods questionnaire. Specifically, re-visit attraction unit 23, the portable terminal apparatus 4, and displays the product questionnaire screen 229 (FIG. 14 (a)). In this case, re-visit attraction unit 23 creates a record 207 for viewing information 36 (FIG. 5).

In step S334, re-visit attraction unit 23 receives a product survey results. The user, in commodity questionnaire screen 229, select the "very good" as an evaluation for the goods, as a comment for goods, have entered the "strength is moderate and favorable impression of the fragrance will Mote". Therefore, re-visit attraction unit 23, these input data, received from the mobile terminal apparatus 4. In this case, re-visit attraction unit 23 creates a record 208 for viewing information 36 (FIG. 5).

In step S335, re-visit attraction unit 23, to send the game. Specifically, re-visit attraction unit 23, the portable terminal apparatus 4, and displays the game screen 231 (FIG. 14 (c)). In the illustrated example, the user may roll the balls on the screen of the mobile terminal apparatus 4 that is likened to a horizontal base, to obtain the point to induce a ball into a hole drilled on the table (FIG. 14 (d )).

In step S336, re-visit attraction unit 23 receives the game result. Specifically, re-visit attraction unit 23 receives the game result from the mobile terminal device 4. Here, the game result and is, for example, "100 points". In this case, re-visit attraction unit 23 creates a record 209 for viewing information 36 (FIG. 5).

In step S337, re-visit attraction unit 23, to determine the amount of electronic coupon. The general term "coupon" is a constructive currency with exchange value only between certain parties. In the present embodiment, the coupon is digitized, in particular store, for a particular product, or can be used for goods of a particular manufacturer. Units of the exchange value of the electronic coupon is a normal "amount of money", it may be a "discount rate" for the price of a particular product. Revisit attracting unit 23, in accordance with the game result received in step S336, it determines the amount of electronic coupons. In this case, re-visit attraction unit 23, in accordance with the game result "100 points", and to determine the amount of money "500 yen".

In step S338, re-visit attraction unit 23 transmits the electronic coupon. Specifically, re-visit attraction unit 23 transmits the electronic coupon with the amount determined in step S337 to the portable terminal apparatus 4. In this case, re-visit attraction unit 23 creates a record 210 for viewing information 36 (FIG. 5). Thereafter, the user, and re-visit, will be able to purchase items using an electronic coupon.

In step S339, re-visit attraction unit 23, receives a purchase report in an electronic coupon. Specifically, the user using, for example, the portable terminal apparatus 4, presents the clerk screen of the electronic coupon is displayed. Then, the clerk, handing the goods desired by the user to the user. At this time, the shop server 5, via its input unit, reading the price of a product listed in the product, reading the amount of user ID and the electronic coupon from the portable terminal apparatus 4, the read data, the information distribution to send to the device 1. Revisit attracting unit 23 receives this, further create a record 211 of the browse information 36 (FIG. 5). Furthermore, the shop server 5 then to create a record 213 of the POS information 37 (FIG. 6 (a)), revisit attracting unit 23 terminates the re-visit attract procedure.

(Reporting procedure)
Along 11, for explaining the reporting procedure.
In step S351, reporting unit 24, to identify the pre-reportable event. Specifically, the report creation unit 24 refers to the event information 34, the time from the current time point a predetermined time (e.g. 24 hours) has elapsed, to identify any events that the event start time arrives. This event is referred to as a "pre-report target event".

In step S352, report generation unit 24 transmits the pre-report to the store. More specifically, the first, reporting unit 24 creates a store for pre-Report 232 (FIG. 15 (a)). The contents of each data described in store for pre-report 232 are as follows.
"Site visitors number" is the number of users who viewed the pre-report target event details screen. Reporting unit 24, by referring to the viewing information 36, on up to the present time, it is possible to acquire the number of users who browse the detail screen of the pre-report target event.
"Of visit predicted number of people", out of site visitors number is the number of the user who scheduled registered a pre-report target event. Reporting unit 24, by referring to the viewing information 36, on up to the present time, it is possible to acquire the number of users who scheduled registered a pre-report target event.

"The expected purchase total amount" is the amount obtained by multiplying the unit price of the goods of the pre-report target event for the "out online prediction number of people". Reporting unit 24, for example with reference to the POS information 37 can obtain the unit price of the product.
"Gender age distribution" is a gender-specific age group of the breakdown of the "out online prediction number of people". Reporting unit 24, by referring to the viewing information 36 and user information 35, it is possible to acquire a gender age group breakdown of "out online prediction number of people".
"Pre-report target event" is, in some cases to be performed on multiple items of the same manufacturer. In such a case, the reporting unit 24, the "gender age distribution", for example further may be displayed by product category (reference numeral 233).
Second, the report generating unit 24 transmits the store for pre-report 232 that was created in the shop server 5.
Reporting unit 24, repeatedly executes the processing of steps S351 and S352 for all of the pre-report target event.

In step S353, the report creation unit 24 specifies the post reportable event. Specifically, the report creation unit 24 refers to the event information 34, the timing predated from the current time point a predetermined time (e.g. 24 hours), to identify any events that the event start time has come. This event is referred to as a "post-report target event".

In step S354, report generation unit 24 transmits the post-report to the store. More specifically, the first, reporting unit 24 creates a store for post Report 234 (FIG. 15 (b)). The contents of each data described in store for post-report 234 are as follows.
"Site visitors number", for "out online prediction number of people" and "gender age distribution", the description of FIG. 15 (a) is true as it is.
"Stores site of visitors" is the number of users who browsed the store site. Reporting unit 24, by referring to the viewing information 36, until the event start time, it is possible to acquire the number of users who browsed the store site for post-report target event.
"Visit the actual number" is the number of users who visit actually. Reporting unit 24, by referring to the POS information 37 can obtain the number of users who post reports target event has visited the enforced shop.

"Coming to the store's action map" is, users who visit actually is, is a map that shows the point at which to view the map screen 227 ( "☆"). Reporting unit 24, by referring to the viewing information 36, a user who visited the store actually can obtain position information of the point that viewing the map screen 227.
"The average travel distance" is the average value of the distance between the "☆" and "store".
"Product questionnaire response rate" is, the number of users who responded to the item questionnaire, the percentage obtained by dividing the number of the user who sent the item questionnaire. Reporting unit 24, by referring to the viewing information 36, it is possible to acquire the goods questionnaire response rate.
"Electronic coupon purchase rate" is, the number of users who use the electronic coupon, the percentage obtained by dividing the number of users who receive an e-coupon. Reporting unit 24, by referring to the viewing information 36, it can acquire the electronic coupon use purchase rate.
Second, the report generating unit 24 transmits the store for post-report 234 that was created in the shop server 5.

In step S355, the report creation unit 24 transmits the post reports to the manufacturer. More specifically, the first, reporting unit 24 creates a manufacturer's posterior Report 235 (FIG. 16 (a)). The contents of each data according to the manufacturer for post-report 235, except for the "visitors of the product site", the description of FIG. 15 (b) applies as it is.
"Visitors of the product site" is the number of users who browse the site of the product. Reporting unit 24, by referring to the viewing information 36, until the event start time, it is possible to acquire the number of users who browsed the products of site for the post-report target event.
Second, the report creation unit 24 transmits the manufacturer's posterior report 235 created by the manufacturer server 2.
Reporting unit 24, repeatedly executes the processing of steps S353 ~ S355 for all of the post-report target event.

In step S356, the report creation unit 24 transmits the aggregate reports to the manufacturer. Specifically, report generation unit 24, a predetermined date (e.g., month-day) When arrives, or when a predetermined period (30 days from the last time) has elapsed, the manufacturer's summary report 236 (FIG. 16 ( b)) to create. The contents of each data according to the manufacturer for summary report 236 is as follows.
"Site visitors number" was performed during the period until the current time of reporting from the previous time of reporting, is the number of users who browse the detail screen of all the events of the manufacturer (referred to as "period target event") . Reporting unit 24, by referring to the viewing information 36 can obtain the number of such users.

"System penetration rate" is the percentage that is calculated in the following manner.
- First of all, the number of users who browse the map screen 227 of the period target event, the "map browsing number of people".
- Then, the "map browsing number of people", and calculates the average value of the "site visitors number".
- the calculated average value by dividing the population living in a predetermined area, calculates the "system penetration". The predetermined area, for example, a region on the administrative at least one of the users who browse the map screen 227 residents.
Reporting unit 24, by referring to the external information browsing information 36 and government offices, etc., can calculate the system penetration. Furthermore, the report creation unit 24 store master 32, by referring to the viewing information 36 and the POS information 37, it is also possible to create a by product and by region "system penetration index" (FIG. 16 (b) The bottom).

"Visit rate" is (received or sample) were purchased the manufacturer of the product according to the period target event the number of users is the percentage obtained by dividing the "site visitors number". Reporting unit 24, store master 32, by referring to the viewing information 36 and POS information 37, it can be created by product and by region "visit rate distribution".
"Buy rate" is, the number of users who have purchased a product of the period subject event using the electronic coupon, there is a percentage obtained by dividing the number of users who receive an e-coupon after having responded to commodity questionnaire of the period the target event . Reporting unit 24, by referring to the viewing information 36 and POS information 37, it can be created by product and by region "purchase rate distribution".
Reporting unit 24 repeatedly executes the processing in step S356 for all manufacturers.
Then, report creation unit 24 ends the report creation process procedure.

(Modification 1: Premium level)
A large user of contribution to providing information or sales growth, satisfaction manufacturer and the store is high. Therefore, visit attracting unit 22 sets the premium level for each user. Premium rate (non-negative value), for example, at least one of the larger increases of the following values.
And product questionnaire number of items in the number of characters and products questionnaire results (however, the number of items of No answer are excluded)
- the number or amount of money made a purchase using the number and electronic coupon of options input item at the time of registration (for example, "SNS information")

Visit attracting unit 22, by keeping constantly monitors the POS information 37 and the like, to obtain the data. The visit attracting unit 22 maintains the premium level of each user to the latest value, determining the value of "n" in step S318 mentioned above by the following equation.
n = c 1 × premium of + c 2
Here, c 1 and c 2 are positive constants.
Furthermore, visit attracting unit 22 determines the value of the above-described "w" by the following equation.
w i = c 3 × premium of + c 4
Here, c 3 and c 4 are positive constants, w i is at least one of w 1, w 2, w 3 , w 4, w 5, w 6 and w 7. w 1, w 2, each ... may be changed the value of the constant c 3 and c 4.

Furthermore, visit attracting unit 22, when the premium level exceeds a predetermined threshold value, distribution form vectors, product classification vector, preference vector, brand vector and one at least any of a profile vector of any one or more component, "0" → "1" or "-1" → "0" may be changed as.

(Modification 2: billing)
Information distributors, depending on the degree of their contribution to the manufacturer and the store, it is common to charge for the manufacturer and the store. Therefore, visit attracting unit 22, for example, held at least every one of the manufacturers of the following values ​​is stored in the auxiliary storage device 15.
- a predetermined period of time, the manufacturer of the event to the number-predetermined period of time that is displayed on the map screen 227, to the manufacturer of the event number, the predetermined period of time that is displayed on the detail screen 228, of the manufacturers the site portable terminal apparatus 4 to the displayed number, the predetermined period of the product, the user number or amount, the predetermined period is a purchase of the manufacturer using the electronic coupons, reports the manufacturer server the number of times that has been sent to the 2.
The visit attracting unit 22, the multiplying predetermined bids for number of times of, and stored in the auxiliary storage device 15 in association with the results to the manufacturer.

Similarly, visit attracting unit 22 stores in the auxiliary storage device 15 at least one example of the following values ​​held in each store.
- a predetermined period of time, the displayed number & predetermined period event map screen 227 performed by the store, the displayed number & predetermined period event detail screen 228 is carried out in the shop, the site is a mobile terminal device 4 to display the number of times, a predetermined time period of the store, to the number of times or amount, a predetermined period of time the user has purchased a product in the store using an electronic coupon, report the shop server 5 the number of times that has been sent to.
The visit attracting unit 22, the multiplying predetermined bids for number of times of, and stored in the auxiliary storage device 15 in association with the result to the store.

(Modification 3: inventory forecast)
Figure 13 (c) comparing FIG 14 (b). Visit attracting unit 22 on the basis of the order information 31, and displays the "providing predetermined number" of FIG. 13 (c). However, if it is displayed the number of stocked items is more convenient for the user. Therefore, the auxiliary storage device 15 is intended to store the inventory information 38 (Figure 6 (b)).

Visit attracting unit 22, from the shop server 5 in real time (or, batch processing such as predetermined frequency once daily) by receiving the number of stock to maintain the constant inventory to the latest value. Or, receiving a number of sales from the shop server 5 in real time, by subtracting the number of sales has been received from the quantity of the order information, to maintain a constant inventory-to-date value.
The visit attracting unit 22, in step S321, instead of the detail screen 228, displays a detailed screen 230. The detail screen 230, are displayed inventory.

However, if the data can not be received from the shop server 5, visit attracting unit 22 can also be estimated inventory. For example, visit attract section 22 refers to the order information 31, calculates an average value per day of shipments of the products to the store. And, adds "average value × number of days elapsed" for the stock number of the previously received. Furthermore, the number of addition result, "(estimate)" is displayed on top in detail screen 230 marked with letters.

(Modification 4: Evaluation of electronic coupons and sample)
Reporting unit 24, it can also be used to assess the effectiveness of the electronic coupon to each store. Reporting unit 24 refers to the POS information 37, the average price for goods "p 1" of the product purchased by the user using the electronic coupon to a predetermined time period, and, in the predetermined period, the user electronic to calculate the average commodity price "p 2" of items purchased without a coupon.
The report creating unit 24 performs, for example, a statistical test process based on the assumption that the probability distribution follows a normal distribution "p 2". Specifically, the value of "p 1" is the probability distribution of "p 2", for example, if they belong to "5% right rejection region", an electronic coupon contributed to sales growth of the product determined to. The report creating unit 24, such store name, a report value described a "p 1" value and "p 2", and transmits to the manufacturer server 2 or the shop server 5. Of course, reporting unit 24, such a process, can either be done on the basis of the number of items sold products in place of the commodity price, is not limited to the evaluation of each store, the evaluation of each product, evaluation of each user it can be also carried out.

Reporting unit 24, it can also be used to assess the effectiveness of the distribution of free samples in each store. Reporting unit 24 refers to the POS information 37, customer traffic "r 1" day any event has been carried out, and, in the same day and the date, event is not performed any to calculate the number of customers "r 2" of the day of. Then, reporting unit 24, for example, "r 1 / r 2" probability distribution of the value of "1.0" to the original premise that follows a normal distribution to the average statistical for all stores the test process is performed. Specifically, the value of "r 1 / r 2" of a certain store, of the probability distribution, for example, if they belong to "5% of the right critical region", in the store, is effective delivery of sample it is determined that there. The report creating unit 24, such store name, a report value as described the "r 1" value and "r 2", and transmits to the manufacturer server 2 or the shop server 5. Of course, reporting unit 24, such a process, can either be done on the basis of the total amount of goods amount of money instead of the number of customers is not limited to the evaluation of each store, the evaluation of each product, evaluation of each user it can be also carried out.

(Modification 5: cooperation with SNS)
SNS is, because the people who have the same hobby is a place to exchange ideas, if they match certain products to the hobby, advertising in the SNS is effective. Therefore, visit attracting unit 22 refers to the viewing information 36, a user detects that sent the item questionnaire. Then, it transmits the advertisement message SNS for that user stored in the user information 35 server for (not shown). Advertising message is, for example, "○○ sama, we used the goods ○○○ of free sample" is. These processes, it is assumed that the last there is a user's permission. Visit attracting unit 22, considering the diffusion force Reviewed by the user has been detected, "friends link" (link from the user to the user other than the user) in terms of narrowing down the users present more than a predetermined number, You may send advertising messages.

There is a case in which the manufacturer itself has managed the SNS server. In this case, visit attracting unit 22 accesses the SNS server, identifies a user creating a sentence by using a predetermined keyword in the SNS server. For example, cosmetics manufacturers, "skin", "beam", "texture", "moist", to identify the users who are using a keyword such as "cleansing solution". Then, to the user may transmit the advertisement message.

(Modification 6: Modify such as the date of the event)
On the same day in the same store, the plurality of items of event different manufacturers and product classification are the same is carried out, there is a case the advertisement effect is reduced. Depending on the manufacturer, hate conflict of such an event, shifting the day, it is also often wish to change the tempo. Therefore, in step S303, the event planning unit 21 receives the order information 31, obtains all records that meet the following conditions at the same time.
· Store ID is the same.
Event start time is included on the same day.
And product segment is the same.
- the manufacturer of the goods are different (turn out to refer to the goods master 33).

Next, event planning unit 21 transmits the retrieved records to the manufacturer server 2, the manufacturer of the operator, the modified accepts to enter the date of the store ID or event start time. And the data after the correction has been accepted, to update the record of order information 31. In addition, if I have to obtain prior consent of the manufacturer, event planning unit 21, without inquiring to the manufacturer, for example, to re-set so as not to overlap the date of the event start time of competing events, or, store it may be re-set so as not to overlap the ID.

(Modification 7: Estimation preference vector)
Busy user, in some cases you do not enter their own preferences at the time of registration. Furthermore, even if the user entered preferences, preferences with the lapse of time varies. So, coming to the store to attract section 22, in addition to the user input, to estimate their own "estimated preference vector". Configuration of the estimated preference vector is as follows, the same as the preference vector. However, it reveals that the estimated value denoted by the "#".

Estimated preference vector :( sweet tooth / normal / drinker, likes / normal / hate tea, dark taste food is love / normal / dislike of, like the movement / normal / hate, have to worry about the health / Neither / tooth not, not go / sometimes go / go every day to the convenience store, like shopping / normal / dislike) # = (0,0,0,0,0,0,0) #
Visit attracting unit 22 sets "0" as an initial value of each component of the estimated preference vector. Thereafter, a predetermined date (e.g., month-day) in terms of the reference viewing information 36 and the POS information 37, updates the respective components, for example, according to the following rules.

- the last date later, if sweet drinks (food) purchase the number of times is equal to or greater than a predetermined threshold value of the components of the "sweet tooth / normal / drinker", updated as "0" → "1". If the number of purchases is no no, updated as "0" → "-1". In addition, the product master 33 is assumed to have the detailed information to the extent that it is understood that the taste of the product.
- the last date later, if the number of purchases of tea is equal to or greater than a predetermined threshold, the components of the "tea like / normal / hate", updated as "0" → "1". If the number of purchases is no no, updated as "0" → "-1".
- the last date later, if the number of purchases of dark taste of food is equal to or greater than a predetermined threshold, the components of the "dark taste of food likes / normal / hate", updated as "0" → "1". If the number of purchases is no no, updated as "0" → "-1".

- the date or later, integrating the distance between the point where the schedule registration, the point of then visit the store. If the distance obtained by integrating is equal to or greater than a predetermined threshold, the components of the "movement is love / normal / hate", updated as "0" → "1". If the distance obtained by accumulating is equal to or less than the predetermined threshold value is updated as "0" → "-1".
- the last date later, if the number of purchases of health food is equal to or greater than a predetermined threshold, the components of the "to have / Can not say / to not care about health", as "0" → "1" update to. If the number of purchases is no no, updated as "0" → "-1". In addition, the product master 33, it is assumed that the commodity has detailed information to the extent that it can be seen that a health food.

- the last date later, if I was coming to the store every day, the components of the "go / no sometimes go / go every day to the convenience store", updated as "0" → "1". If there is a day that does not visit any one day, it is updated as "0" → "-1".
- the last date later, if the number of times you visit is equal to or greater than a predetermined threshold, the components of the "shopping like / normal / hate", updated as "0" → "1". If there is no number of times you visit, it is updated as "0" → "-1".

Incidentally, in the above explained the example of updating the value of the component to "0" "1" as the center or "-1". However, visit attracting section 22, similarly, "- 1" → "0" → "1" can either be sequentially updated as, "1" → "0" → "-1" as it is also possible to sequentially updated.
Visit attracting unit 22, after the user has registered the preference for a predetermined period of time (e.g., 6 months) if executes the process of step S317 after the lapse, the latest estimated preference vector as "V 3" to.

Visit attracting unit 22 is estimated preference advance monitoring the number of times of viewing a given product at the user, for example details screen 228, each time the count increases by a predetermined number (for example, "1"), according to the following formula it may update the vector.
Purchase here estimated preference vector = pre-update estimated preference vector + k 1 × product characteristics vector after update, and the product characteristics vector, any preference vector having the ingredients shown interest in the product the user has browsed, or the user It was an arbitrary preference vector having the ingredients shown an interest for products. Then, "k 1" is a slight positive number (e.g., "0.01"). Then, similar products is likely to be searched in a given commodity.

Visit attracting unit 22 every predetermined period (e.g. one month) has passed, it may update the estimated preference vector according to the following equation.
Here the estimated preference vector of the estimated preference vector = k 2 × before updating after updating, "k 2" is a damping coefficient (0 <k 2 <1) . Then, it is possible to limit the impact of preference vector going obsolete with the passage of time.

(Effects of Embodiment)
(1) Information distribution device of the present embodiment, among the order information by the manufacturer to create, can be directly use the information that may be published.
(2) the information delivery apparatus of the present embodiment can quantitatively determine the extent (display priority score) evaluation of preferences, such as the manufacturer of the user matches.
(3) information distribution apparatus of the present embodiment, by displaying a map on a portable terminal device used by a user, can attract the event to be carried out the user in the store.
(4) the information delivery apparatus of the present embodiment can attract the user event to distribute sample. Thus, manufacturers and stores, can expect the sales of goods, etc. in advance.

(5) the information delivery apparatus of the present embodiment receives a product survey results from a user using the sample. Thus, manufacturers and stores, can take advantage of the questionnaire for future product development.
(6) information distribution apparatus of the present embodiment holds the premium level for each user. Therefore, it is possible to give an incentive to cooperate with respect to goods questionnaire or the like to the user.
(7) information distribution apparatus of the present embodiment, to create a report analyzing the user's behavior and the like. Thus, manufacturers and stores, using the report, it is market analysis.
(8) the information delivery apparatus of the present embodiment, the same point in time, different manufacturers of goods events in the same shop to prevent the overlap. Thus, from the manufacturer, the cooperation of the data provided or the like is easily obtained.
(9) the information delivery apparatus of the present embodiment presents a number of stocked goods for a user. Thus, it is possible to further improve the incentive for the user to visit.

The present invention is not limited to the embodiment described above, but includes various modifications. For example, the embodiments described above, which has been described in detail for the purpose of better understanding of the present invention, not intended to be limited to necessarily include all of the configurations described. Further, it is possible to replace a part of the configuration of one embodiment in the configuration of another embodiment, it is also possible to add a configuration of an embodiment alternative embodiment to the configuration of. A part of the configuration of each embodiment may be added, deleted, or replaced for other configurations.
The constituent of the functional processing unit, the processing unit or the like, part or all, for example may be implemented by hardware such as by designing an integrated circuit. The constituent of the functional, etc., interprets the program the processor to implement the respective functions may be realized by software by executing. Program for realizing each function, a table, information such as file, memory, a hard disk, SSD (Solid State Drive) recording apparatus such as, or, IC cards, can be placed on the SD card, a recording medium such as a DVD.
The control lines and information lines indicates what is believed to be necessary for explanation, not necessarily indicate a not all control lines and information lines on products. Actually, almost all configurations may be considered to be connected to each other.

1 information distribution device 2 the manufacturer server 3 distributors server 4 portable terminal device 5 shop server 6 network 11 central control unit (controller)
12 Input device 13 Output device 14 main storage (storage unit)
15 an auxiliary storage device (storage unit)
16 communication device 21 event planning unit 22 coming to the store to attract section 23 re-visit attraction section 24 report creation section 31 order information 32 store master 33 product master 34 event information 35 user information 36 viewing information 37 POS information 38 stock information

Claims (10)

  1. In association with goods, and stores the product is distributed or sold, the time when the product is distributed or sold in the store, the products, and information indicating that said shop and said point can be published, a storage a storage unit that stores the order information is,
    From the order information, to extract the products associated with information indicating that may be the public,
    The portable terminal device located within a predetermined distance from the position of the store,
    Products that the extracted, and a control unit that the product-related information including the shop and the time associated with the product, is transmitted before the time comes,
    Information distribution apparatus, characterized in that it comprises a.
  2. Wherein the storage unit,
    In association with the user of the portable terminal apparatus, distributing or selling form of the product which the user wishes, the Categories and brands, preferences of the user, as well as at least one of the personal profile of the user is stored and stores the user information,
    Wherein,
    Distribution or sales in the form of the product which the user wishes, the Categories and brands, preferences of the user, and, wherein at least one of the personal profile of the user, a score indicating a degree of matching the predetermined evaluation criteria calculated based on the user information,
    Determining the product-related information to be the sequentially transmitted the score is large,
    Information distribution apparatus of claim 1, wherein the.
  3. Wherein,
    Transmitting the product-related information map that describes the position of the store according to the products that the extraction so as to be displayed on the portable terminal device,
    Information distribution apparatus according to claim 2, wherein.
  4. The distribution or sale form,
    It contains a free sample,
    Information distribution apparatus according to claim 3, characterized in.
  5. Wherein,
    Wherein after the said sample of the product was shipped to, sending a questionnaire of the sample to the portable terminal device,
    Information distribution apparatus of claim 4, wherein.
  6. Wherein,
    Said the for a given item including an answer to a questionnaire in accordance with the degree of the user to contribute, to determine the number of information store to be transmitted to the portable terminal device,
    Information distribution apparatus of claim 5, wherein.
  7. Wherein,
    View information of when the user uses the mobile terminal device, and, on the basis of the information indicating the activities in the store of the user, to create a report that describes the information that indicates the interest of the user with respect to the goods ,
    To send a report that the created, the manufacturer of the store or the goods,
    Information distribution apparatus of claim 6, wherein.
  8. Wherein,
    Time when the goods in the store is distributed or sold, may overlap with the product between the plurality of the manufacturer, to change the store or when the product is distributed or sold,
    Information distribution apparatus according to claim 7, characterized in.
  9. Wherein,
    It received inventory of the goods from the store,
    The number of stocks in which the received, be displayed on the portable terminal device,
    Information distribution apparatus of claim 8, wherein.
  10. Storage unit of the information distribution apparatus,
    In association with goods, and stores the product is distributed or sold, the time when the product is distributed or sold in the store, the products, and information indicating that said shop and said point can be published, a storage It has been stored in the order information to be,
    Control unit of the information distribution apparatus,
    From the order information, to extract the products associated with information indicating that may be the public,
    The portable terminal device located within a predetermined distance from the position of the store,
    Products that the extraction, as well as product-related information including the shop and the time associated with the products, be transmitted before the time comes,
    Information distribution method for the information distribution apparatus according to claim.
PCT/JP2014/060957 2014-04-17 2014-04-17 Information delivery device and information delivery method WO2015159409A1 (en)

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