99 results about "Frequently asked questions" patented technology

A voice-enabled help desk service is disclosed. The service comprises an automatic speech recognition module for recognizing speech from a user, a spoken language understanding module for understanding the output from the automatic speech recognition module, a dialog management module for generating a response to speech from the user, a natural voices text-to-speech synthesis module for synthesizing speech to generate the response to the user, and a frequently asked questions module. The frequently asked questions module handles frequently asked questions from the user by changing voices and providing predetermined prompts to answer the frequently asked question.

A voice-enabled help desk service is disclosed. The service comprises an automatic speech recognition module for recognizing speech from a user, a spoken language understanding module for understanding the output from the automatic speech recognition module, a dialog management module for generating a response to speech from the user, a natural voices text-to-speech synthesis module for synthesizing speech to generate the response to the user, and a frequently asked questions module. The frequently asked questions module handles frequently asked questions from the user by changing voices and providing predetermined prompts to answer the frequently asked question.

A communications tool that combines a software application and various communication systems that parallel natural styles of knowledge sharing and problem solving. It merges with normal patterns of relationship to create a seamless and transparent extension of community. By using computer, Internet, telephone, e-mail, and other communications technologies, the present invention brings these communities of practice to a new level of immediacy and relevance—one not encumbered by time or place. The invention is issue-centered versus document-centered, incorporates a leader-controlled structure, which is distributive and transparent, and enables stratification of items to allow multiple and simultaneous uses of the invention (e.g. dynamic FAQ, electronic whiteboard, expert center, committee review tool, etc.). Leaders control through inherited parameters. The present invention more effectively captures and leverages “tacit” knowledge (that which exists in the minds of participants and has not been written down), by connecting communities and adapting to their forms of interrelationships.

A method and mechanism for a web based knowledge management tool. A knowledge management tool enables one to interact with a knowledge base and enable distributed collaboration between parties. Users may create and customize portlets to interact with the knowledge base in a variety of formats, such as, e.g., a survey and a FAQ. The information describing the appearance and operation of the portlets is stored within a database coupled to a portal database server, which is a component that provides content pertaining to a portal web site to one or more web browsers 101. Graphical based reports based upon user activity may be dynamically generated and subsequently displayed through portlets as well.

A method of selecting a set of questions to display comprises receiving a request from a user to access a frequently asked questions (FAQ) page. Account data for the user is retrieved. A set of questions is selected to display to the user based on the account data.

A lightweight document matcher employs minimal processing and storage. The lightweight document matcher matches new documents to those stored in a database. The matcher lists, in order, those stored documents that are most similar to the new document. The new documents are typically problem statements or queries, and the stored documents are potential solutions such as FAQs (Frequently Asked Questions). Given a set of documents, titles, and possibly keywords, an automatic back-end process constructs a global dictionary of unique keywords and local dictionaries of relevant words for each document. The application front-end uses this information to score the relevance of stored documents to new documents. The scoring algorithm uses the count of matched words as a base score, and then assigns bonuses to words that have high predictive value. It optionally assigns an extra bonus for a match of words in special sections, e.g., titles. The method uses minimal data structures and lightweight scoring algorithms to compute efficiently even in restricted environments, such as mobile or small desktop computers.

A method and system of detecting and reporting failures in a computer, in particular a personal computer is disclosed. Event codes related to failure events are given unique alpha numeric designations, allowing universal recognition of failures related to diagnostic programs that are ran. The unique event codes are stored in an error log when a particular failure is found through the operation of a diagnostic program. The error log is parsed as to determined values and can be minimized further by eliminating redundant occurrences of the event codes. Event codes can be related to frequently asked question (FAQ) files, the FAQ files can then be presented to a user. In certain cases, the presented FAQ files can be minimized further by a template that masks out irrelevant FAQ files. The FAQ file that are considered relevant can be predetermined per the requirements of the user.

A voice-enabled help desk service is disclosed. The service comprises an automatic speech recognition module for recognizing speech from a user, a spoken language understanding module for understanding the output from the automatic speech recognition module, a dialog management module for generating a response to speech from the user, a natural voices text-to-speech synthesis module for synthesizing speech to generate the response to the user, and a frequently asked questions module. The frequently asked questions module handles frequently asked questions from the user by changing voices and providing predetermined prompts to answer frequently asked questions.

The invention discloses a device and a method for optimizing search ranking of frequently asked question and answer pairs, which is used for optimizing the ranking of search results searched by the frequently asked question and answer pairs. The method comprises the following steps: receiving a search query of a user, and obtaining multiple frequently asked question and answer pairs to be analyzed matched with the search query according to the search query of the user; according to a question and answer knowledge base including multiple question and answer knowledge records, obtaining associated degree of each frequently asked question and answer pair to be analyzed; according to the associated degrees of the frequently asked question and answer pairs to be analyzed, optimizing the search ranking of the frequently asked question and answer pairs to be analyzed matched. The device and the method can evaluate the associated degrees of the frequently asked question and answer pairs to be analyzed as the search results and optimize the ranking of the search results, and the ranking effect is better.

The invention relates to a man-machine interaction method of a customer service system. The method enables the effect to be continuously optimized by virtue of user feedbacks, and comprises the following steps that a user raises a question and waits the customer service system to answer the question; buttons representing satisfactory and dissatisfactory feedbacks of the user are added on a question answering interface of the customer service system, and the user is invited to give feedback to whether an answer is satisfactory or not; satisfaction and dissatisfaction clicking behaviors of the user are fed back to logs of the customer service system and associated with the question of the user and the answer of a customer service staff at that time; a positive sample and a negative sample of the answer of the customer service staff are generated based on the logs; offline learning is carried out by utilizing the positive sample and the negative sample; and frequently asked question (FAQ) knowledge after the offline learning of the customer service system is updated. According to the method, the user experience is improved and the user does not feel unfriendly; sufficient positive and negative samples are provided for question and answer effects of customer service staffs; and continuously innovated fresh question-asking ways of users can be quickly adapted.

One embodiment of the invention provides a question answering device and method for vehicles, belonging to the field of vehicles. The device comprises a receiving module for receiving questions brought out by users; an application scene classification module for performing application scene classification on the questions brought out by the users, wherein the application scene comprises one or many of the followings: fault type, general knowledge type, handbook type, car purchasing type and insurance type; a semantic comprehension module for semantic recognition of the questions brought out by the users according to the classified application scene to obtain feature information; an answer assuring module for determining answers corresponding to the questions brought by the users according to the feature information; and an answer outputting module for outputting the answers corresponding to the questions brought by the users. The method and device effectively solve the problem of low accuracy of FAQ-based question answering mode.

The invention discloses a fusion knowledge base processing method and a device and a knowledge base management system. The fusion knowledge base processing method comprises the steps of extracting a knowledge classification catalogue from a common problem FAQ library and an ontology knowledge base, wherein the ontology knowledge base comprises a knowledge ontology and a ontology relation, based on the knowledge ontology, ontology relation and the knowledge classification catalogue, mount the contents of the FAQ library into the ontology knowledge base, and generating a fusion knowledge base. The fusion knowledge base processing method solves the problem that in the prior art the performance of the FAQ system can hardly be enhanced because the retrieval question answering system, the question answering system based on the knowledge base and the community cooperative question answering system have many defects in the practical application.

A user support system and related user interface that integrates FAQ features and helpdesk features. The user interface screen includes menu windows that allow the user to select a main category and a subcategory of the support topic, and displays a list of frequently asked questions (FAQ) based on the user-selected main category and subcategory. A message input window and associated metadata windows are also displayed on the user interface screen, which allow the user to send a question to the support provider. The support provider then communicates with the user through email or other means to provide answers to the user's questions. Optionally, after the support request is resolved, the question and answer may be used to update the FAQ database, taking into consideration the category and subcategory already selected by the user.