Recommender system with grey wolf optimizer and FCM

Recommender systems are contributing a significant aspect in information filtering and knowledge management systems. They provide explicit and reliable recommendations to the users so that user can get information about all products in e-commerce domain. In the era of big data and large complex information delivery system, it is impossible to get the right information in the online environment. In this research work, we offered a novel movie-based collaborative recommender system which utilizes the bio-inspired gray wolf optimizer algorithm and fuzzy c-mean (FCM) clustering technique and predicts rating of a movie for a particular user based on his historical data and similarity of users. Gray wolf optimizer algorithm was applied on the Movielens dataset to obtain the initial clusters, and also the initial positions of clusters are obtained. FCM is used to classify the users in the dataset by similarity of user ratings. Our proposed collaborative recommender system performed extremely well with respect to accuracy and precision. We analyzed our proposed recommender system over Movielens dataset which is available publically. Various evaluation metrics were utilized such as mean absolute error, standard deviation, precision and recall. We also compared the performance of projected system with already established systems. The experiment results delivered by proposed recommender system demonstrated that efficiency and performance are enhanced and also offered better recommendations when compared with our previous work [1].

     

推荐技术在电子商务中的运用综述

推荐系统利用从客户的行为中分析出的知识和商品的自身特点来指导用户选择最适合自己需要的商品，同时为电子商务企业实现增值。推荐系统正逐渐成为电子商务系统的标准模块之一。首先回顾了到目前为止推荐系统主要的实现方法，然后指出了其中尚待改进和完善的地方以及未来研究的方向。     

A Philosophical Approach to the Concept of Data Model: Is a Data Model, in Fact, a Model?

The design of the database is crucial to the process of designing almost any Information System (IS) and involves two clearly identifiable key concepts: schema and data model, the latter allowing us to define the former. Nevertheless, the term model is commonly applied indistinctly to both, the confusion arising from the fact that in Software Engineering (SE), unlike in formal or empirical sciences, the notion of model has a double meaning of which we are not always aware. If we take our idea of model directly from empirical sciences, then the schema of a database would actually be a model, whereas the data model would be a set of tools allowing us to define such a schema.The present paper discusses the meaning of model in the area of Software Engineering from a philosophical point of view, an important topic for the confusion arising directly affects other debates where model is a key concept. We would also suggest that the need for a philosophical discussion on the concept of data model is a further argument in favour of institutionalizing a new area of knowledge, which could be called: Philosophy of Engineering.     

A Fermat-like Principle for Chemical Reactions in Heterogeneous Systems

We formulate a variational principle of Fermat type for chemical kinetics in heterogeneous reacting systems. The principle is consistent with the notion of intrinsic reaction coordinate (IRC), the idea of chemical resistance (CR) and the second law of thermodynamics. The Lagrangian formalism applies a nonlinear functional of entropy production that follows from classical (single-phase) nonequilibrium thermodynamics of chemically reacting systems or its extension for multiphase systems involving interface reactions and transports. For a chemical flux, a law of bending is found which implies that — by minimizing the total resistance — the chemical ray spanned between two given points takes the shape assuring its relatively large part in a region of lower chemical resistivity (a rarer region of the medium). In effect, the chemical flux bends into the direction that ensures its shape consistent with the longest residence of the chemical complex in regions of lower resistivity. The dynamic programming method quantifies the chemical rays and related wavefronts along the reaction coordinate.     

Reflections on participatory design

The human-centred debate in Britain focuses on the idea of human-machine symbiosis, and the Dialogue debate in Scandinavia focuses on the deep understanding of human communication, through a process of inner reflection. Both of these debates provide a framework for the participatory design of AI systems.The emergence of social Europe creates the desirability for a sharing of social and cultural knowledge and resources among the citizens of Europe. This raises the possibility of exploiting the potential of new technology for the distribution and transfer of knowledge and skill among the citizens of Europe whilst retaining the diversity of their cultures and languages. These issues of transfer have been the focus of many AI researchers who have been concerned with the design of AI systems for the education, training and welfare of disadvantaged citizens. It is suggested that central to such a transfer is the design of participatory learning systems which focus on the mediation and distribution of knowledge in diverse socio-cultural contexts.In this paper, the SEAKE Centre's projects, especially Brighton Parosi, and Adult Literacy are discussed to provide an insight into the concepts and practice of designing such participatory systems. The philosophy of these projects was rooted in the sharing of social and cultural experiences, through participatory learning. The development of the projects involved a process of exchange of language and culture in both formal and informal learning environments. For the Parosi Project social interaction was the central core for the exchange of cultural experiences and the language acquisition process. The Adult Literacy project built on the exchange process, and used the idea of the mediation of knowledge for the design of a knowledge based system. The design process developed by the above two projects could be described as a participatory design approach which builds upon and extends the human-machine symbiosis and dialogue approaches.     

Reaping the whirlwind: Reply to Harnad's “other bodies,other minds”

Harnad's proposed robotic upgrade of Turing's Test (TT), from a test of linguistic capacity alone to a Total Turing Test (TTT) of linguisticand sensorimotor capacity, conflicts with his claim that no behavioral test provides even probable warrant for attributions of thought because there is no evidence of consciousness besides private experience. Intuitive, scientific, and philosophical considerations Harnad offers in favor of his proposed upgrade are unconvincing. I agree with Harnad that distinguishing real from as if thought on the basis of (presence or lack of) consciousness (thus rejecting Turing (behavioral) testing as sufficient warrant for mental attribution)has the skeptical consequence Harnad accepts — there is in factno evidence for me that anyone else but me has a mind. I disagree with hisacceptance of it! It would be better to give up the neo-Cartesian faith in private conscious experience underlying Harnad's allegiance to Searle's controversial Chinese Room Experiment than give up all claim to know others think. It would be better to allow that (passing) Turing's Test evidences — evenstrongly evidences — thought.     

From “website” to “on-line presence”: From “internet” to “information society”

This paper discusses some of the key drivers that will enable businesses to operate effectively on-line, and looks at how the notion of website will become one of an on-line presence which will support the main activities of an organisation. This is placed in the context of the development of the information society which will allow individuals-as consumers or employees-quick, inexpensive and on-demand access to vast quantities of entertainment, services and information. The paper draws on an example of these developments in Australasia.     

Using computer technology to teach and evaluate prewriting

The purpose of this research was to determine whether computer-aided instruction may be effectively utilized in stimulating prewriting composition when the CAI is based upon (1) conceptual (cognitive) strategies, (2) data-driven guidance (resulting from CAE techniques), and (3) recent findings in tutorial strategies research. If this specifically designed CAI is as good a means of prewriting instruction as personal tutoring and a better means than classroom instruction, then the practical and economical implications may be weighed in a decision to use such techniques. Forty-three college freshmen in three basic writing classes participated in this study. One class was exposed to a CAI medium, the other two either to a human tutor or to classroom instruction. A computer-aided evaluation of previous essays provided focus, and other intellectual processing cues provided information on an expository topic; this database was then used to construct a CAI program to encourage specificity and depth of intellectual processing in students' prewriting composition. The program also possessed and was designed to provide conceptual guidance through the use of five heuristic procedures; thus it contained two key elements that a human tutor would possess in working with a topic—knowledge of the topic, and a means for eliciting that knowledge from the tutee. The second treatment method used consisted of instruction by human tutors, utilizing the same methodology. The control for the study consisted of a classroom instruction group. Results showed the CAI group demonstrating gains in every category of measurement utilized in this study, and its performances was significantly better than both the tutorial group on two of the post-test measures. The CAI group was superior, through not significantly, on post-test performances in every category used in the study except fluency.     

Conceptual Models and Architectures for Advanced Information Systems

This paper addresses several issues related to the use of conceptual modeling to support service-oriented, advanced information systems. It shows how conceptual modeling of information resources can be used to integrate information obtained from multiple data sources, including both internal and external data. The notion of an intelligent thesaurus is presented and a meta-model of the thesaurus is developed. It is then used to create a three-layer architecture consisting of the actual data source schemas, a wrapped object-oriented abstraction of the schemas expressed in terms of the thesaurus primitives, and an integrated version which serves as the federation schema. The sharing of information among constituents is also addressed, and a special export schema—the export data/knowledge/task schema—is proposed that ties together the objects, their constraints, and their usage rules. Knowledge sharing among constituents during cooperative query processing is accomplished using data/knowledge packets.     

A knowledge-based system for reactive scheduling decision-making in FMS

This paper describes research into the development of an intelligent simulation environment. The environment was used to analyze reactive scheduling scenarios in a specific flexible manufacturing systems (FMS) configuration. Using data from a real FMS, simulation models were created to study the reactive scheduling problem and this work led to the concept of capturing instantaneous FMS status data as snapshot data for analysis. Various intelligent systems were developed and tested to asses their decision-making capabilities. The concepts of History Logging and expert system learning is proposed and these ideas are implemented into the environment to provide decision-making and control across a FMS schedule lifetime. This research proposes an approach for the analysis of reactive scheduling in an FMS. The approach and system that was subsequently developed was based on the principle of automated intelligent decision-making via knowledge elicitation from FMS status data, together with knowledge base augmentation to facilitate a learning ability based on past experiences.