This report presents a study of integrating particle swarm algorithm, social knowledge adaptation and multi-agent approaches for modeling the social learning of self-organized groups and their collective searching behavior in an adaptive environment. The objective of this research is to apply the particle swarm metaphor as a model of social learning for a dynamic environment. The research provi...

non-renewable natural resources play an important role in sustainable development of developing countries such as iran. however, if natural resources are to be preserved for future generations, proper use of such resources will be imperative. women are one of the prime users of natural resources. this study assesses the conservational behavior of rural women and factors influencing such behavio...

In this paper, we propose a novel method for real estate price prediction using web new media sentiments by incorporating human searching behaivor on the web. By combining online daily news’ sentiments and Google search engine query data, we construct a web news content and online search behavior-based integrated model for real estate prediction. Besides these factors, real estate price time se...

With the constant expansion of Web, search engines became part people’s daily routines. How users behave during process depends on a variety factors, one which is topic their interest. This study focused behavior searching Web for content related to art and cultural heritage. A proprietary, publicly available, federated engine, in form web mobile app, was developed this research’s purposes. pla...

A study of the “real world” Web information searching behavior of 206 college students over a 10-month period showed that, contrary to expectations, the users adopted a more passive or browsing approach to Web information searching and became more eclectic in their selection of Web hosts as they gained experience. The study used a longitudinal transaction log analysis of the URLs accessed durin...