A man-machine interaction method and system based on artificial intelligence. The man-machine interaction method based on artificial intelligence comprises the following steps: receiving input information input by a user through an application terminal (S1); acquiring intent information about the user according to the input information about the user, and distributing the input information to at least one interaction service subsystem according to the intent information (S2); receiving a return result returned by the at least one interaction service subsystem (S3); and generating a user return result according to the return result in a pre-set decision strategy, and providing the user return result to the user (S4). In the method and system, the man-machine interaction system is anthropomorphic instead of being instrumentalized, and the user can obtain relaxed and pleased interaction experience in the intelligent interaction process through chat, research and other service. The search in the form of keywords is improved into natural language based search, the user can express demands through flexible and free natural languages, and a multi-round interaction process is closer to the interaction experience among humans.

Man-machine interaction method and system based on artificial intelligence

A method of disambiguating user intent in conversational interactions for information retrieval is disclosed. The method includes providing access to a set of content items with metadata describing the content items and providing access to structural knowledge showing semantic relationships and links among the content items. The method further includes providing a user preference signature, receiving a first input from the user that is intended by the user to identify at least one desired content item, and determining an ambiguity index of the first input. If the ambiguity index is high, the method determines a query input based on the first input and at least one of the structural knowledge, the user preference signature, a location of the user, and the time of the first input and selects a content item based on comparing the query input and the metadata associated with the content item.

Disambiguating user intent in conversational interaction system for large corpus information retrieval

Disclosed are methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving an utterance and environmental data, obtaining a transcription of the utterance, identifying an entity using the environmental data, submitting a query to a natural language query processing engine, wherein the query includes at least a portion of the transcription and data that identifies the entity, and obtaining one or more results of the query. [Reference numerals] (104) Disambiguation engine; (106) Speech recognition engine; (108) Keyword mapping engine; (110) Content recognition engine; (AA,FF) Utterance; (BB) Environmental data; (CC,GG) Content item data; (DD) Environmental data + Content type; (EE) Content type; (HH) Transcription

Answering questions using environmental context

A method of inferring user intent in search input in a conversational interaction system is disclosed. A method of inferring user intent in a search input includes providing a user preference signature that describes preferences of the user, receiving search input from the user intended by the user to identify at least one desired item, and determining that a portion of the search input contains an ambiguous identifier. The ambiguous identifier is intended by the user to identify, at least in part, a desired item. The method further includes inferring a meaning for the ambiguous identifier based on matching portions of the search input to the preferences of the user described by the user preference signature and selecting items from a set of content items based on comparing the search input and the inferred meaning of the ambiguous identifier with metadata associated with the content items.

Method of and system for inferring user intent in search input in a conversational interaction system

A method of using conversation state information in a conversational interaction system is disclosed. A method of inferring a change of a conversation session during continuous user interaction with an interactive content providing system includes receiving input from the user including linguistic elements intended by the user to identify an item, associating a linguistic element of the input with a first conversation session, and providing a response based on the input. The method also includes receiving additional input from the user and inferring whether or not the additional input from the user is related to the linguistic element associated with the conversation session. If related, the method provides a response based on the additional input and the linguistic element associated with the first conversation session. Otherwise, the method provides a response based on the second input without regard for the linguistic element associated with the first conversation session.

Method of and system for using conversation state information in a conversational interaction system

Provided are an information search method and an information provision method based on the user's intentions. The information search method comprises: providing an editing device matched to the searcher's intentions ascertained using the results of analysis of searched words; and searching contents having metadata relating to metadata input through the editing device. In this way, the searcher's intentions can be ascertained from the information input by the searcher, detailed metadata input can be derived based on the ascertained intentions, and a search can be carried out using the input metadata.

Information search method and information provision method based on user's intention

PURPOSE: A method for searching information and a method for providing information based on users intention are provided to enhance reproduction rate and accuracy of information. CONSTITUTION: A syntactic analysis result is outputted from an information syntactic analyzer. An information provider intention catcher grasps the intention of information provider(504). An information providing metadata extractor extracts metadata about contents suitable for intention of an information provider from DB(505). An information providing editor generates editor which the extracted metadata is set as input item(506).

Method for searching information based on user's intention and method for providing information

Methods for searching for information based on user's intention and for providing information include an editor meeting searcher's intention detected using analysis results for keywords and searches contents having metadata associated with metadata input through the editor. As a result, a search may be formed by detecting searcher's intention from information input by a searcher, inducing a detailed metadata input based on the detected intention, and using the input metadata.

Hee Sung Chung

Papers

Information search method and information provision method based on user's intention

Method for searching information based on user's intention and method for providing information

Information search method and system, information provision method and system based on user's intention