Development of a Best Answer Recommendation Model in a Community Question Answering (CQA) System

Abstract

In this work, a best answer recommendation model is proposed for a Question Answering (QA) system. A Community Question Answering System was subsequently developed based on the model. The system applies Brouwer Fixed Point Theorem to prove the existence of the desired voter scoring function and Normalized Google Distance (NGD) to show closeness between words before an answer is suggested to users. Answers are ranked according to their Fixed-Point Score (FPS) for each question. Thereafter, the highest scored answer is chosen as the FPS Best Answer (BA). For each question asked by user, the system applies NGD to check if similar or related questions with the best answer had been asked and stored in the database. When similar or related questions with the best answer are not found in the database, Brouwer Fixed point is used to calculate the best answer from the pool of answers on a question then the best answer is stored in the NGD data-table for recommendation purpose. The system was implemented using PHP scripting language, MySQL for database management, JQuery, and Apache. The system was evaluated using standard metrics: Reciprocal Rank, Mean Reciprocal Rank (MRR) and Discounted Cumulative Gain (DCG). The system eliminated longer waiting time faced by askers in a community question answering system. The developed system can be used for research and learning purposes.

Algorithmic Application of Evidence Theory in Recommender Systems

“…For this reason, with the development of science and technology and the problems exposed by the current network, the recommendation system is also used. e recommender system is a software tool and information filtering technology, which can find items of interest to users from massive information [15]. Of course, the reason why the recommender system can mine and analyze the user's hobbies and generate recommendations is because the recommender system also belongs to the category of artificial intelligence [16].…”

Address and place name database of electric power intelligent customer service based on intelligent question and answer technology

“…Suppose the binary sequence SG1 = {(S1, V1), (S2, V2),... (SM, VM)} of question G1 and the binary sequence SG2 = {(S1, V1), (S2, V2),... (SN, VN)} of question G2, the similarity calculation formula between question G1 and G2 is shown in formula (1).…”

“…Olaosebikanr proposes a best answer recommendation model for question and answer system. Then, a community question answering system is developed based on this model [1].Dimitrakise investigates recent work in the field of stateless question answering system, focusing on the methods that have been applied to RDF and associated data, documents and their mixing. The question answering system aims to provide accurate answers to the questions raised by users in natural language, classify the existing methods according to various aspects, and relevant evaluation indicators [2].…”