METHOD, SYSTEM AND RECORDING MEDIUM FOR PROVIDING SEARCH FUNCTION AND SEARCH RESULT ON MOBILE MESSENGER

• US 20160110779A1
• Filed: 09/03/2015
• Published: 04/21/2016
• Est. Priority Date: 10/16/2014
• Status: Abandoned Application

• Current Assignee: Naver Corporation
• Original Assignee: Naver Corporation
• Inventors: Gu, Donghyun
• Application Number:
  US14/844,662
• Publication Number:
  US 20160110779A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 30/0256 User search
• CPC Class Codes: G06Q 30/0282 Rating or review of business operators or products
• CPC Class Codes: H04L 51/04 Real-time or near real-time messaging, e.g. instant messaging [IM]
• CPC Class Codes: H04L 51/42 Mailbox-related aspects, e.g. synchronisation of mailboxes

Abstract

A search result providing method includes providing a search function on a messenger and information associated with stores as a search result, analyzing a quality factor indicating a store quality associated with the messenger with respect to each store, and sorting the search result by determining a ranking of a store based on the quality factor.

Claims

1. A search result providing method implemented in a computer having a processor, wherein the method provides a search function on a messenger and provides information associated with stores as a search result by the search function, and comprises:

analyzing, by the processor, a quality factor indicating a store quality associated with the messenger with respect to each store; and

sorting, by the processor, the search result by determining a ranking of a store based on the quality factor.

2. The method of claim 1, wherein the analyzing comprises analyzing the quality factor based on at least one of a store connection amount indicating a conversation connection level between users and the store through the messenger and a conversation content correlation indicating a correlation between conversation contents of the users through the messenger and the store.

3. The method of claim 1, wherein the analyzing comprises:

analyzing a store connection amount indicating a conversation connection level between users and the store through the messenger; and

calculating the store connection amount based on at least one of a conversation duration time and a conversation frequency between a user and the store.

4. The method of claim 1, wherein the analyzing comprises:

analyzing a conversation content correlation indicating a correlation between conversation contents of the users through the messenger and the store; and

calculating the conversation content correlation based on the number of times that a keyword associated with the store has appeared in the conversation contents.

5. The method of claim 1, wherein the analyzing comprises:

analyzing a store connection amount indicating a conversation connection level between users and the store through the messenger;

determining a unit session for analyzing the store connection amount in a conversation session in which a user and the store are connected; and

calculating the store connection amount based on at least one of the number of unit sessions and a session duration time.

6. The method of claim 1, wherein the analyzing comprises:

analyzing a conversation content correlation indicating a correlation between conversation contents of the users through the messenger and the store;

determining a unit session for analyzing the conversion content correlation in a conversation session in which the users are connected; and

calculating the conversation content correlation based on the number of times that a keyword associated with the store has appeared in the conversation contents.

7. The method of claim 5, wherein the analyzing comprises determining, as the unit session, a session from an appearance point in time of a predefined seed keyword in the conversation session to a point in time at which a desired period of time is elapsed after the appearance point in time of the seed keyword, using the seed keyword.

8. The method of claim 5, wherein the analyzing comprises determining, as the unit session, a session from a start point in time of a conversation to a point in time of a predetermined time in which no reply is received after an input of a last message in the conversation.

9. The method of claim 2, wherein the analyzing comprises analyzing the quality factor based on at least one of a store response rate indicating a rate at which the store has responded to a request of a user for a specific service of the store using the messenger, a store accessibility indicating a distance between a location of the user using the messenger and a physical location associated with the store, and a popularity of the store among users using the store.

10. The method of claim 1, wherein the sorting comprises determining the ranking of the store by applying a weight to the quality factor based on at least one of a correlation between a user and the store and a correlation between a friend having set a relationship with the user and the store.

11. The method of claim 10, wherein the weight is determined based on at least one of whether a messenger conversion of the user or the friend is used to analyze the quality factor, whether a search history by the user or the friend is present, whether a conversation history with the user or the friend is present in the messenger, and whether a favorites or friend registration history by the user or the friend is present in the messenger.

12. The method of claim 1, wherein the sorting comprises determining the ranking of the store by applying a weight to the quality factor based on a search frequency for each time zone of the store through the search function.

13. A search result providing system comprising:

a processor; and

a memory,

wherein the processor is configured to provide a search function on a messenger and to provide information associated with stores as a search result of the search function, and comprises;

an analyzer configured to analyze a quality factor indicating a store quality associated with the messenger with respect to each store; and

a provider configured to sort the search result by determining a ranking of a store based on the quality factor.

14. The search result providing system of claim 13, wherein the analyzer is further configured to analyze the quality factor based on at least one of a store connection amount indicating a conversation connection level between users and a store through the messenger and a conversation content correlation indicating a correlation between conversation contents of the users through the messenger and the store.

15. The search result providing system of claim 13, wherein the analyzer is further configured to analyze a store connection amount indicating a conversation connection level between users and the store through the messenger, to determine a unit session for analyzing the store connection amount in a conversation session in which a user and the store are connected, and to calculate the store connection amount based on at least one of the number of unit sessions and a session duration time.

16. The search result providing system of claim 13, wherein the analyzer is further configured to analyze a conversation content correlation indicating a correlation between conversation contents of the users through the messenger and the store, to determine a unit session for analyzing the conversion content correlation in a conversation session in which the users are connected, and to calculate the conversation content correlation based on the number of times that a keyword associated with the store has appeared in the conversation contents.

17. The search result providing system of claim 14, wherein the analyzer is further configured to analyze the quality factor based on at least one of a store response rate indicating a rate at which the store has responded to a request of a user for a specific service of the store using the messenger, a store accessibility indicating a distance between a location of the user using the messenger and a physical location associated with the store, and a popularity of the store among users using the store.

18. The search result providing system of claim 13, wherein the provider is further configured to determine the ranking of the store by applying a weight to the quality factor based on at least one of a correlation between a user and the store and a correlation between a friend having set a relationship with the user and the store.

19. The search result providing system of claim 13, wherein the provider is further configured to determine the ranking of the store by applying a weight to the quality factor based on a search frequency for each time zone of the store through the search function.

20. A non-transitory computer-readable medium including computer-readable instructions, wherein when executed by a processor, the computer-readable instructions are configured to control a computer system to provide a search function on a messenger and provide information associated with stores as a search result by the search function, and comprising:

analyzing a quality factor indicating a store quality associated with the messenger with respect to each store; and

sorting the search result by determining a ranking of a store based on the quality factor.