KR20110130601A - An ambient service method for providing web's stores information through user-context-based search - Google Patents

Abstract

PURPOSE: A method for servicing ambient providing store information on web through user situation based search is provided to hierarchically supply the purchase related store information on the map by searching purchase related store information based on the situation of a user. CONSTITUTION: A system groups the collected separate stored information(S103). The system expresses the grouped separate stored information as a representative keyword(S105). The system groups the representative keywords(S107). Based on the situation of a user, the system generates ambient query(S201). The system searches the store information with the abiment query(S203). The system extracts purchase related store information(S301). The system expresses the extracted purchase related store information on a map(S303).

Description

An Ambient Service Method for Providing Web's Stores Information through User-Context-Based Search}

The present invention relates to an ambient service that provides store information on the web through user context-based search. More specifically, the present invention provides an intuitive service for a user to acquire information of related stores in an intuitive form without a complicated search process. The present invention relates to an ambient service method for providing store information on the web through user context-based search.

When a user makes a purchase in a real-life space, he or she usually visits various stores to compare products, features, prices, and the like to purchase the products that they like most. If the user does not know the surrounding information such as where and what shops are located, the user searches for shops to visit. This results in unnecessary effort and time spent wandering the shopping street.

Alternatively, the location information of the corresponding stores may be obtained by using a Google map, a Yahoo! map as shown in FIG. 1, a Naver map, and a Daum map service. This allows you to go directly to the store without getting lost.

These services provide location information of stores in an intuitive form using a map interface.

However, the existing services that provide the location information of the shops provide the location information of the shops without considering the user's purchase. For example, a situation where a user who wants to buy shoes to purchase related products such as clothes or a bag can be easily expected. However, the only information that can be obtained by entering the "shoes" keyword in the existing services is only the location information of the shoe stores. That is, it does not provide location information of shops with a purchase relation of "stores selling clothes related to shoes".

In addition to the keyword search method as described above, it also provides a category so that you can search for shops with typical relevance, such as restaurants, real estate, accommodation. Selecting this category will provide location information for stores categorized under that category. However, it is difficult to obtain location information of various types of related stores in a limited category.

Since the purchase activity of the user is generally performed through the shops having a purchase relevance, the user may be able to purchase more efficiently if the location information of the shops considering the purchase relevance is provided.

Accordingly, the present invention is proposed to solve the limited service generated in the existing methods for providing location information, and to provide more efficient purchase activity information to the user,

The problem to be solved by the present invention is to provide an ambient service method for providing shop information on the web through the user context-based search that allows the user to obtain the information of purchase-related stores in an intuitive form without a complicated search process. .

Another problem to be solved by the present invention is user context-based search for requiring only minimal human intervention, sensitive and immediate response to changes in the surrounding environment, intelligent situation processing, and providing information in an intuitive form. To provide an ambient service method for providing shop information on the web through.

"Ambient service method for providing shop information on the web through the user context-based search" according to the present invention for solving the above problems,

An information structuring step of automatically collecting individual store information from the web and grouping and structuring the individual store information based on purchase relevance;

An ambient query generation step of generating an ambient query based on a user's situation in a real life space;

Ambient information providing step of acquiring purchase related shop information retrieved through the generated ambient query in real time and providing purchase related shop information in a hierarchical structure.

The individual store information is shop information including location information while corresponding to an existing shop.

The information structuring step,

Grouping individual store information having similar characteristics on the basis of purchase relevance;

Expressing each grouped group with a representative keyword;

Structuring the representative keywords based on purchase relevance.

The grouping may be performed by grouping individual store information using a hierarchical structure of each industry.

The ambient query is characterized by generating the shop information and the user's location information that the user pays attention.

The ambient information providing step,

Extracting purchase related shop information from a real life space through the ambient query;

Expressing the extracted purchase-related store information in a hierarchical structure of keywords on a map interface.

The ambient information providing step,

It is characterized by providing hierarchical shopping information on a map.

According to the present invention, by searching for shop-related shop information based on the user's situation, by providing hierarchically on the map, there is an advantage that can minimize the effort for obtaining information of the user.

In addition, according to the present invention, there is an advantage that the information can be intuitively recognized through the location information of the stores displayed hierarchically on the map.

In addition, according to the present invention, there is an advantage that it is possible to develop a service for providing information of related objects having a specific relation with respect to various objects existing in a real life space based on the proposed model.

1 is an example of a service for providing shop information based on the existing map.
2 is a conceptual diagram showing an ambient service method according to the present invention.
3 is a flowchart illustrating an ambient service method for providing shop information on the web through a user context-based search according to an exemplary embodiment of the present invention.
4 is an example of a structured information space applied to the present invention.
5 is an example of a real life space applied to the present invention.
6 is an example of an ambient information space applied to the present invention.
7 is an exemplary view showing an information presentation process in the ambient information space in the present invention.
8 is a system configuration diagram for the ambient service method proposed in the present invention.
9A is an example of a service screen after recognizing a shoe store tag, and FIG. 9B is an example of a service screen after selecting “women's clothing” from horizontally structured purchase information.
10 illustrates various configurations of a structured information space.

Hereinafter, described in detail with reference to the accompanying drawings a preferred embodiment of the present invention. In the following description, well-known functions or constructions are not described in detail since they would obscure the invention in unnecessary detail.

The user purchasing activity in the real life space is mainly performed while moving. At this time, it is difficult to search for information by concentrating as when using an existing information service. Therefore, when the user acquires the related store information, it should be possible to obtain the related store information without complicated information retrieval process. In addition, you should be able to recognize this information intuitively.

Ambient service is attracting attention as one of the information providing methodologies that can satisfy these requirements.

Ambient Intelligence (Loretta Ananiaed., 2005; Diane J. Cook et al., 2009) locates networked sensors and devices in the environment and intelligently processes relevant information, such as information generated, to provide convenience to humans. It is a system. In relation to this, researches on various systems such as helping people's lives in indoor environments such as homes and hospitals, or utilizing them in traffic problems in outdoor environments, are being conducted.

The Ambient Service is a service that can satisfy the essential information needs of human beings "here and now" based on this Ambient Intelligence. The service typically requires only minimal human intervention, responds sensitively and instantly to changes in the surrounding environment, handles intelligent situations, and provides information in an intuitive form.

Among the various features of the ambient service, the present invention focuses on the aspect of providing information so that the service user can acquire the information in an intuitive form without much effort in the information retrieval process. In detail, the sensor detects user behavior and automatically generates a query. In addition, this query enables information retrieval, simplifying the user's retrieval process. In addition, the location information of the related stores is represented on the interface reflecting the real life space as a map. Therefore, the user's intuitive information recognition is possible. This may satisfy the requirements of the service for providing the related shop information.

The present invention is a model to apply the features of the ambient service, to facilitate the user's purchase activities by providing shop-related shop information while promoting the user's convenience for information search and recognition. Specifically, this model is composed of three layers of structured (purchase related) information space, real life space, and ambient information space as shown in FIG.

The structured (purchase-related) information space is a space in which individual store information is automatically collected from the web and grouped and structured based on purchase relevance. In this case, the individual store information corresponds to an existing store and is store information including location information.

The real life space is a space where shops exist, and user's purchasing activity takes place in this space. At this time, the ambient query is automatically generated automatically based on the user's situation. The user can use this ambient query to search for shop-related store information without a complicated search process.

The ambient information space is a space for obtaining purchase-related store information retrieved through a user-generated ambient query in real time. In this space, among the individual store information structured by purchase relevance, the shop-related shop information around the user is extracted. It is a space that provides the extracted purchase-related shop information in a hierarchical structure of keywords and expresses the location information of the shops on a map interface.

If this is explained in more detail as follows.

3 is a flowchart showing an ambient service method for providing shop information on the web through a user context-based search according to the present invention, where S represents a step.

As shown here, an information structuring step of automatically collecting individual store information from the web and grouping and structuring it based on purchase relevance (S100); An ambient query generation step (S200) of generating an ambient query based on a user's situation in a real life space; Ambient information providing step (S300) of acquiring purchase-related shop information retrieved through the ambient query in real time and providing purchase-related shop information in a hierarchical structure.

The information structuring step (S100) may include collecting individual store information from the web and grouping individual store information having similar characteristics based on purchase relevance (S101 to S103); Expressing each grouped group with a representative keyword (S105); The representative keywords are structured based on purchase relevance (S107).

In addition, the ambient query generation step (S200), the step of generating an ambient query based on the user's situation (S201); Searching for shop information by the generated ambient query (S203).

In addition, the ambient information providing step (S300), the step of extracting the shop-related shop information in the real life space (S301); And expressing the extracted purchase-related store information on a map in a hierarchical structure of keywords (S303).

The ambient service method for providing shop information on the web through the user context-based search according to the present invention configured as described above will be described in detail.

The individual store information is information corresponding to the stores including the location information and actually exist in the real life space. This information can be automatically extracted from the web. The individual store information is grouped into a purchase relevance and structured (S100).

For example, individual store information having similar characteristics are grouped based on purchase relevance (S301 to S303), and each group is represented by a representative keyword (S105). The representative keywords are structured based on purchase relevance (S107). In the present invention, such grouped and structured keywords are referred to as structured purchase information. The structured (purchase related) information space is composed of individual store information and structured purchase information in detail as shown in FIG. By grouping and hierarchically organizing individual store information, a user can obtain information of nearby stores with various purchase relevance for a particular store.

As a representative method of grouping individual store information and hierarchically structuring, there is a method using hierarchical structure of each industry. For example, A and B shoe stores are "shoes", C and D clothing stores are "clothing", E and F bag stores are "bags", G and H doll stores are "dolls", I, J phrases can be grouped into "phrases". The representative keywords here are shoes, bags, clothing, dolls, and stationery. At this time, the shoe-bag-clothing may be structured as a lower layer of "clothing and miscellaneous goods" and the doll-stationery "fancy, stationery". In addition, "clothing and miscellaneous goods" and "fancy and stationery" can be structured in the lower hierarchy of "shopping."

A user who visits A shoe store may want to visit B shoe store for price comparison. Also, after purchasing shoes, you may want location information of clothing stores or bag stores. At this time, it is difficult for the service to determine what information the user wants, and providing all the shoes / clothing / bag store information is inefficient. This is clearer when considering more types of shops. The structured purchase information can in this case inform the user what relevant stores are around. And it can be used for the user to find the store information having various relevance. In other words, instead of checking the location information of the C, D clothing stores, the E and F bag stores, the user uses the "shoe-clothing-bag" hierarchically structured purchasing information as related stores for the A shoe store. By using the "clothing" and "bags" related to the realization of the shops around the area, you can select the desired group of the location of the relevant stores can be obtained.

The purchase relevance in this example is the most basic form of industry hierarchy that users can perceive and judge at a common sense level. In addition, it can be structured as a purchase relevance in various aspects such as "relationship between stores that can receive discount service" and "relevance to visit pattern of users".

Next, a query generated automatically by the user's action is generated as an ambient query (S200). The ambient query may be generated by detecting a user's situation through various sensors attached to an environment or a person (S201). In particular, recently, various sensors such as RFID reader, GPS, and digital compass are embedded in the mobile terminal, and these sensors can be usefully used to detect user's behavior. For example, using the sensors of the mobile terminal, it is possible to detect the location of the user, the direction in which the user is looking.

In the present invention, as shown in Fig. 5, the shop information that the user pays attention and the user's location information are used as an ambient query. These two pieces of information can be obtained through the user's mobile terminal. That is, the shop information that the user pays attention can be grasped by a method such as recognizing a tag attached to the shop by the RFID reader, and the location information of the user can be obtained by using a sensor such as GPS. The information reflects the user's situation, and enables the user to search for shop-related shop information without complicated search process (S203). Ambient queries are continuously generated automatically by the user carrying a mobile terminal and recognizing the store with a sensor embedded in the mobile terminal.

Meanwhile, in the ambient information space, purchase-related shop information is extracted through an ambient query generated by a user in the real life space, and the extracted purchase-related shop information is expressed on a map interface in a hierarchical structure of keywords (S300). The hierarchical structure of these keywords allows the user to easily search for other kinds of purchase related store information. In addition, the location of each purchase-related store is represented on the map interface. As a result, as shown in FIG. 6, the user may intuitively recognize the locations of purchase-related stores.

An example of a process in which individual store information and structured purchase information in a structured (purchase related) information space is processed through an ambient query and represented in the ambient information space is illustrated in FIG. 7.

First, using store information that the user pays attention to, individual store information and structured purchase information related to the corresponding store are extracted (S301) (①). 7 illustrates a case in which the user pays attention to the shoe store. At this time, individual store information grouped as "shoes" and horizontally structured purchasing information of "shoe-clothing-bag" and "shoe-clothing and sundries" are extracted.

Next, using the location information of the user, the relevant stores around the user and the structured purchase information is extracted again from the extracted information. As in the case where there is no bag shop around (②), "bag" is excluded from the structured purchase information.

The individual store information thus extracted is displayed on the map (S303). The structured purchase information is also provided in a hierarchical form of keywords (③). At this time, if the user selects a desired group from the structured purchase information, the location information of related stores around the user classified as the corresponding group is displayed again on the map, and the purchase information is restructured around the corresponding group.

The scenario in which the present invention described above is applied to one service will be described as an example.

A user who wants to buy shoes finds and visits a shoe store. After checking the design and price of the shoes in the store, I would like to visit other stores for better designs and cheaper shoes. At this time, the user recognizes the RFID tag of the shop visited by the mobile terminal. Then, the location of other shoe stores nearby is displayed on the mobile terminal based on the map. The user visits and visits the shoe shop around the displayed area, and finally purchases the most favorite shoe. In addition, through the structured purchase information of the "clothing-bag-hat" provided with the location information of the shoe stores, it is noticed that there are clothing, bags, and hat shops around. Among them, the clothing is selected to check the location information of the surrounding clothing store through a map, and the clothing store is visited.

Based on the proposed method, the service can be implemented by applying RFID technology, map-based technology, location information utilization technology, and ontology technology to each area. An example of the implementation of a system that can be used in such a scenario is shown in FIG. 8.

The database server automatically collects web pages in a structured (purchase related) information space and extracts store information with coordinates from the collected web pages (①). And it is structured using the industry-specific hierarchy (②).

In the real-life space, the location information acquired by the GPS module embedded in the user's portable terminal (for example, UMPC) and the ID information (④) obtained by recognizing the tag attached to the store by the RFID reader are ambient. Generated by a query.

In the ambient information space, the service server transmits the location information of purchase-related shops to the user's mobile terminal based on the user's location information and the recognized store information (5). In addition, it provides structured purchasing-related information to further search for other kinds of purchasing-related store information (⑥).

9A and 9B are service use screens. FIG. 9A is a service screen after recognizing a shoe store tag, and FIG. 9B is a service screen after selecting "women's clothing" from horizontally structured purchase information.

After placing the tag in each shop and recognizing it, the appearance is as shown in FIG. 9A. When the shoe store “Geumganghwa” is recognized as a terminal, the position of the shoe store and the surrounding shoe stores are located around the user's location. Displayed on the map.

At this time, since the individual store information is structured using the hierarchical structure of each industry, it is structured vertically and horizontally such as "Corporate, Shopping> Clothing, Fashion Accessories> Shoes" and "Women's clothing, bags, sports clothing, ..." Purchased information is automatically included. Looking at the horizontally structured purchasing information, it can be seen that there are women's clothing stores, bag stores, and sports clothing stores as related stores. At this time, when the user selects a desired group from the structured purchase information, the location information of purchase-related stores classified into the corresponding group is displayed on a map, so that the user can intuitively know where and how many related stores are located. 9B is a screen when women's clothing is selected. In this case as well, structured purchasing information related to women's clothing is reconstructed and provided.

According to the present invention as described above, the Ambient service method for providing hierarchically provided on a map by searching for purchase-related store information based on a user's situation, has the following advantages.

The first is to minimize the user's efforts to acquire information. That is, the user may acquire location information of related stores using an automatically generated ambient query without having to think out and input a keyword for searching. In addition to the user's location information and the store's information that the user pays attention to, it is possible to automatically generate an ambient query through sensors capable of identifying the user's behavior. In addition, when searching for other kinds of purchase-related store information, there is an advantage that the user can search by selecting a keyword of a desired group from the hierarchy of keywords.

Second, intuitive information can be recognized. The map is an interface that reflects the real life space. The user has an advantage that the information can be intuitively recognized through the location information of the stores displayed above.

Third, it is possible to develop a service that provides information of related objects with specific relevance based on the proposed model for various objects in the real life space. To this end, first, in the web information space where a lot of information is scattered, individual object information which has location information and exists in the real life space is collected. Individual object information includes facilities, buildings, shops and companies. In this case, the structured information space may be variously configured as shown in FIG. 10 depending on what the object of the individual object information is to be structured and how it is structured. Although the structure of the structured information space is different, the real life space and the ambient information space in the model can be utilized as it is.

For example, it is possible to construct a "structured information space" for cultural assets through a similar process. In other words, only cultural assets can be extracted from individual object information spaces, grouped into similar features, and structured based on historical relevance.

In addition, such structured information can be modified to reflect the characteristics of each user. For example, a feedback process of adding or removing purchase-related store information by reflecting the user's consumption pattern or interests may be considered. However, at this time, the association structure is excessively modified so that the user cannot find the desired information.

The present invention is not limited to the above-described specific preferred embodiments, and various modifications can be made by any person having ordinary skill in the art without departing from the gist of the present invention claimed in the claims. Of course, such changes will fall within the scope of the claims.

Claims (10)

In the method for implementing the ambient service through the context-based search of the user,
Grouping and structuring of shop information automatically collected from the web in consideration of purchasing aspect, and displaying structured purchase related shop information in hierarchical form by using automatically generated ambient query based on user's situation. Ambient service method for providing shop information on the web through the user context-based search.
The method of claim 1, wherein the hierarchical display comprises: a structured information space in which individual store information is automatically collected from the web, grouped and structured based on purchase relevance, and a real life space in which a user's purchasing activity is performed. And, through the user-generated ambient query to provide shop information on the web through the user context-based search, characterized in that displayed in three hierarchical structure, such as the ambient information space for obtaining the structured purchase-related store information in real time Ambient service method.
In the method for implementing the ambient service through the user context-based search,
An information structuring step of automatically collecting individual store information from the web and grouping and structuring the individual store information based on purchase relevance;
An ambient query generation step of generating an ambient query based on a user's situation in a real life space; And
Store information on the web through the user context-based search comprising the step of providing the ambient information obtained in real time by obtaining the purchase-related shop information, retrieved through the generated ambient query in a hierarchical structure Ambient service method for providing information.
The method of claim 3, wherein the individual store information corresponds to an existing store and is store information including location information.
The method of claim 3, wherein the information structuring step,
Grouping individual store information having similar characteristics based on purchase relevance;
Expressing each grouped group with a representative keyword,
Ambient service method for providing shop information on the web through the user context-based search, comprising the step of structuring the representative keywords based on the purchase relevance.
6. The method of claim 5, wherein the grouping comprises grouping individual store information using a hierarchical structure of each business category. 7.
The method of claim 3, wherein the ambient query is generated by store information that the user pays attention to and location information of the user.
The method of claim 3, wherein the providing of the ambient information comprises:
Extracting purchase related shop information from a real life space through the ambient query;
Ambient service method for providing shop information on the web through the user context-based search, comprising the step of expressing the extracted purchase-related shop information in the form of a hierarchical structure of keywords.
10. The method of claim 8, wherein the step of expressing the information in a hierarchical form comprises displaying the information in an intuitive form so that a user can obtain information of related stores without a complicated search process. Ambient service method for providing information.
10. The method of claim 9, wherein the intuitive form provides shop information on the web through a user context-based search, wherein the shop-related shop information is hierarchically represented on a map.

Images