Predicting Quality of Answer in Collaborative Q/A Community
Journal Title: International Journal of Advanced Research in Artificial Intelligence(IJARAI) - Year 2013, Vol 2, Issue 3
Abstract
Community Question Answering (CQA) services have emerged allowing information seekers pose their information need which is questions and receive answers from their fellow users, also participate in evaluating the questions or answers in a variety of topics. Within this community information seekers could interact and get information from a wide range of users, forming a heterogeneous social networks and interaction between users. A question may receive multiple answers from multiple users and the asker or the fellow users could choose the best answer. Freedom and convenience in participation, led to the diversity of the information. In this paper we present a general model to predict quality of information in a CQA by using non textual features. We showing and testing our quality measurement to a collection of question and answer pairs. In the future our models and predictions could be useful for predictor quality information as a recommender system to complete a collaborative learning.
Authors and Affiliations
Kohei Arai, ANIK Handayan
Keywords
Related Articles
- EP ID EP120213
- DOI -
- Views 115
- Downloads 0
A Simulated Multiagent-Based Architecture for Intrusion Detection System
In this work, a Multiagent-based architecture for Intrusion Detection System (MIDS) is proposed to overcome the shortcoming of current Mobile Agent-based Intrusion Detection System. MIDS is divided into three major...
Hybrid Systems for Knowledge Representation in Artificial Intelligence
There are few knowledge representation (KR) techniques available for efficiently representing knowledge. However, with the increase in complexity, better methods are needed. Some researchers came up with hybrid mechanism...
Design and Implementation of Rough Set Algorithms on FPGA: A Survey
Rough set theory, developed by Z. Pawlak, is a powerful soft computing tool for extracting meaningful patterns from vague, imprecise, inconsistent and large chunk of data. It classifies the given knowledge base app...
Memetic Algorithm with Filtering Scheme for the Minimum Weighted Edge Dominating Set Problem
The minimum weighted edge dominating set problem (MWEDS) generalizes both the weighted vertex cover problem and the problem of covering the edges of graph by a minimum cost set of both vertices and edges. In this paper,...
Automated Marble Plate Classification System Based On Different Neural Network Input Training Sets And PLC Implementation
The process of sorting marble plates according to their surface texture is an important task in the automated marble plate production. Nowadays some inspection systems in marble industry that automate the classific...