Pub Date : 2011-06-15DOI: 10.1109/INISTA.2011.5946153
Ergin Yılmaz, M. Ozer, Abdullah Cavusoglu
The channel noise stemming from voltage-gated ion channels, which embedded in excitable neuronal membranes has a great impact on the production and propagation of the action potential in stochastic Hodgkin-Huxley (HH) neurons. In this study, we investigate the effects of sodium and potassium channels blockage and the average degree of connectivity on the spontaneous collective firing regularity on scale-free network which consisting of stochastic HH neurons. The obtained results reveal that potassium channel blockage has constructive effects on the firing regularity whereas sodium channel blockage has disruptive effects on the firing regularity. On the other hand, the spontaneous firing regularity exhibits coherence resonance depending on both the channel blockage scaling factor and the neuronal membrane area. The results also indicate that there is a lower boundary for the average degree of the network connectivity where the coherence resonance exists when the value of the network connectivity is greater than this lower boundary.
{"title":"Effects of channel blocking on the spontaneous firing regularity of scale-free Hodgkin-Huxley neuronal network","authors":"Ergin Yılmaz, M. Ozer, Abdullah Cavusoglu","doi":"10.1109/INISTA.2011.5946153","DOIUrl":"https://doi.org/10.1109/INISTA.2011.5946153","url":null,"abstract":"The channel noise stemming from voltage-gated ion channels, which embedded in excitable neuronal membranes has a great impact on the production and propagation of the action potential in stochastic Hodgkin-Huxley (HH) neurons. In this study, we investigate the effects of sodium and potassium channels blockage and the average degree of connectivity on the spontaneous collective firing regularity on scale-free network which consisting of stochastic HH neurons. The obtained results reveal that potassium channel blockage has constructive effects on the firing regularity whereas sodium channel blockage has disruptive effects on the firing regularity. On the other hand, the spontaneous firing regularity exhibits coherence resonance depending on both the channel blockage scaling factor and the neuronal membrane area. The results also indicate that there is a lower boundary for the average degree of the network connectivity where the coherence resonance exists when the value of the network connectivity is greater than this lower boundary.","PeriodicalId":301397,"journal":{"name":"2011 International Symposium on Innovations in Intelligent Systems and Applications","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116746718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-06-15DOI: 10.1109/INISTA.2011.5946085
Z. Uykan, M. Ganiz
In this paper, we present a relaxed version of the SpecHybrid Algorithm originally proposed for wireless cellular systems, and apply it to text document clustering problem. We conduct several experiments on two different datasets; a widely used benchmark dataset in English, and a Turkish textual dataset commonly used in text classification. Our results show that the proposed algorithm gives superior performance in text document clustering as compared to the standard k-means algorithm for any number of clusters while giving a comparable or better performance as compared to the standard EM algorithm for relatively large number of clusters depending on the similarity matrices used.
{"title":"Application of the SpecHybrid Algorithm to text document clustering problem","authors":"Z. Uykan, M. Ganiz","doi":"10.1109/INISTA.2011.5946085","DOIUrl":"https://doi.org/10.1109/INISTA.2011.5946085","url":null,"abstract":"In this paper, we present a relaxed version of the SpecHybrid Algorithm originally proposed for wireless cellular systems, and apply it to text document clustering problem. We conduct several experiments on two different datasets; a widely used benchmark dataset in English, and a Turkish textual dataset commonly used in text classification. Our results show that the proposed algorithm gives superior performance in text document clustering as compared to the standard k-means algorithm for any number of clusters while giving a comparable or better performance as compared to the standard EM algorithm for relatively large number of clusters depending on the similarity matrices used.","PeriodicalId":301397,"journal":{"name":"2011 International Symposium on Innovations in Intelligent Systems and Applications","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127684689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-06-15DOI: 10.1109/INISTA.2011.5946152
Hakan Cevikalp, H. Yavuz, R. Edizkan, Huseyin Gunduz, Celal Murat Kandemir
Localization of the eyes and mouth in face images is very important for accurate classification in automatic face recognition systems. The alignment of unknown face images with templates generally improves the performance of the face recognition system, and this process uses locations of the eyes and mouth. In this work, we compare different features (gray-level values, distance transform features, gradients and local binary patterns) for automatic localization of eyes and mouth. To this end, we use the sliding window approach using the linear and nonlinear support vector machine (SVM) classifiers. We created new frontal face data sets to train and test our algorithms. The experimental results show that the SVM classifier using the Gaussian kernel yields better results than the linear kernel. Among the four feature extraction methods, the performance of the local binary pattern features draws the attention for having better detection rates in both the linear and the nonlinear cases with smaller feature size.
{"title":"Comparisons of features for automatic eye and mouth localization","authors":"Hakan Cevikalp, H. Yavuz, R. Edizkan, Huseyin Gunduz, Celal Murat Kandemir","doi":"10.1109/INISTA.2011.5946152","DOIUrl":"https://doi.org/10.1109/INISTA.2011.5946152","url":null,"abstract":"Localization of the eyes and mouth in face images is very important for accurate classification in automatic face recognition systems. The alignment of unknown face images with templates generally improves the performance of the face recognition system, and this process uses locations of the eyes and mouth. In this work, we compare different features (gray-level values, distance transform features, gradients and local binary patterns) for automatic localization of eyes and mouth. To this end, we use the sliding window approach using the linear and nonlinear support vector machine (SVM) classifiers. We created new frontal face data sets to train and test our algorithms. The experimental results show that the SVM classifier using the Gaussian kernel yields better results than the linear kernel. Among the four feature extraction methods, the performance of the local binary pattern features draws the attention for having better detection rates in both the linear and the nonlinear cases with smaller feature size.","PeriodicalId":301397,"journal":{"name":"2011 International Symposium on Innovations in Intelligent Systems and Applications","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134100074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-06-15DOI: 10.1109/INISTA.2011.5946166
E. Elbakush, A. Sharaf, I. Altas
The paper presents a new Green Plug Filter Compensator and coordinated control strategy for Battery Powered Electric Vehicle. The integrated drive scheme is fully stabilized using a novel FACTS based green filter compensator developed by the Second Author that ensures stabilized DC bus voltage, minimal inrush current conditions and load excursions when load demand exceeds the Nickel-Metal-Hydrid cell battery capacity. The paper presents a Modified Tri-loop PID controller to control the DC/DC converter, Green Plug Filter Compensator GPFC scheme using dynamic error tracking. This paper presents also the dual regulation Modified PID Tri-loop controller for a Nickel-Metal-Hydrid cell battery powered four-wheel drive electric vehicle. A Tri-Loop dynamic error driven control scheme is proposed to regulate the DC motor current, limit inrush current and power speed overloading conditions, in addition to motor dynamic speed reference tracking. A type B Dual DC/DC converter is employed to match and control the power transfer from the Nickel-Metal-Hydrid cell battery to the PMDC motors load. All Matlab Digital Simulation Functional Models for the Fuel cell, DC/DC converter, PMDC motor, interface LC-Filters, and Controller Loops are fully modelled using Matlab/Simulink/Sim-Power Software Environment.
{"title":"A novel Green Plug Filter Compensation scheme for electric vehicle DC drive","authors":"E. Elbakush, A. Sharaf, I. Altas","doi":"10.1109/INISTA.2011.5946166","DOIUrl":"https://doi.org/10.1109/INISTA.2011.5946166","url":null,"abstract":"The paper presents a new Green Plug Filter Compensator and coordinated control strategy for Battery Powered Electric Vehicle. The integrated drive scheme is fully stabilized using a novel FACTS based green filter compensator developed by the Second Author that ensures stabilized DC bus voltage, minimal inrush current conditions and load excursions when load demand exceeds the Nickel-Metal-Hydrid cell battery capacity. The paper presents a Modified Tri-loop PID controller to control the DC/DC converter, Green Plug Filter Compensator GPFC scheme using dynamic error tracking. This paper presents also the dual regulation Modified PID Tri-loop controller for a Nickel-Metal-Hydrid cell battery powered four-wheel drive electric vehicle. A Tri-Loop dynamic error driven control scheme is proposed to regulate the DC motor current, limit inrush current and power speed overloading conditions, in addition to motor dynamic speed reference tracking. A type B Dual DC/DC converter is employed to match and control the power transfer from the Nickel-Metal-Hydrid cell battery to the PMDC motors load. All Matlab Digital Simulation Functional Models for the Fuel cell, DC/DC converter, PMDC motor, interface LC-Filters, and Controller Loops are fully modelled using Matlab/Simulink/Sim-Power Software Environment.","PeriodicalId":301397,"journal":{"name":"2011 International Symposium on Innovations in Intelligent Systems and Applications","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132090355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-06-15DOI: 10.1109/INISTA.2011.5946154
A. Yazıcı, Uğur Yayan, Hikmet Yucel
Localization is an important problem for robotics and mobile platforms. Although there is some globally accepted positioning systems (e.g., GPS, GLONASS) for outdoor environments, there is not such a system for indoor. In this study, an ultrasonic based positioning system (SESKON) is developed especially for indoor robotic applications. The SESKON uses only ultrasonic signals, so it differs from other positioning systems that are developed for indoor. The SESKON uses Time Difference of Arrival (TDOA) technique for position calculation. TDOA is preferred since it does not require clock synchronization between receiver and transmitters. Tests are conducted to show the effectiveness of the developed SESKON system.
{"title":"An ultrasonic based indoor positioning system","authors":"A. Yazıcı, Uğur Yayan, Hikmet Yucel","doi":"10.1109/INISTA.2011.5946154","DOIUrl":"https://doi.org/10.1109/INISTA.2011.5946154","url":null,"abstract":"Localization is an important problem for robotics and mobile platforms. Although there is some globally accepted positioning systems (e.g., GPS, GLONASS) for outdoor environments, there is not such a system for indoor. In this study, an ultrasonic based positioning system (SESKON) is developed especially for indoor robotic applications. The SESKON uses only ultrasonic signals, so it differs from other positioning systems that are developed for indoor. The SESKON uses Time Difference of Arrival (TDOA) technique for position calculation. TDOA is preferred since it does not require clock synchronization between receiver and transmitters. Tests are conducted to show the effectiveness of the developed SESKON system.","PeriodicalId":301397,"journal":{"name":"2011 International Symposium on Innovations in Intelligent Systems and Applications","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131518874","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-06-15DOI: 10.1109/INISTA.2011.5946047
N. Karaboga, S. Kockanat, H. Doğan
In this paper, a new method based on the Artificial Bee Colony (ABC) for determining the Schottky barrier height (Φb), ideality factor (n) and series resistance (RS) of a Schottky barrier diode (SBD) model using forward current-voltage (I-V) characteristics, is described. For this SBD model, the Ni/n-GaAs/In Schottky barrier diode was produced in a laboratory and the I-V characteristics of the SBD were measured. The real parameters (Φb, n, RS) and obtained parameters from the ABC of the SBD model were compared to determine the model's accuracy.
本文描述了一种基于人工蜂群(ABC)的新方法，利用正向电流-电压(I-V)特性确定肖特基势垒二极管(SBD)模型的肖特基势垒高度(Φb)、理想因子(n)和串联电阻(RS)。针对该SBD模型，在实验室中制作了Ni/n-GaAs/In肖特基势垒二极管，并测量了SBD的I-V特性。将SBD模型的实际参数(Φb, n, RS)与ABC得到的参数进行比较，确定模型的精度。
{"title":"Parameter determination of the Schottky barrier diode using by artificial bee colony algorithm","authors":"N. Karaboga, S. Kockanat, H. Doğan","doi":"10.1109/INISTA.2011.5946047","DOIUrl":"https://doi.org/10.1109/INISTA.2011.5946047","url":null,"abstract":"In this paper, a new method based on the Artificial Bee Colony (ABC) for determining the Schottky barrier height (Φb), ideality factor (n) and series resistance (RS) of a Schottky barrier diode (SBD) model using forward current-voltage (I-V) characteristics, is described. For this SBD model, the Ni/n-GaAs/In Schottky barrier diode was produced in a laboratory and the I-V characteristics of the SBD were measured. The real parameters (Φb, n, RS) and obtained parameters from the ABC of the SBD model were compared to determine the model's accuracy.","PeriodicalId":301397,"journal":{"name":"2011 International Symposium on Innovations in Intelligent Systems and Applications","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131979476","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-06-15DOI: 10.1109/INISTA.2011.5946109
O. Terzi
Gene Expression Programming (GEP) and Radial Basis Function Network (RBFN) models are developed to estimate daily pan evaporation which is an important parameter in hydrological and meteorological studies. Meteorological parameters used to estimate daily pan evaporation from Lake Eğirdir at the southwestern part of Turkey are air temperature (Ta), water temperature (Tw), solar radiation (RC) and relative humidity (Rh). The GEP and RBFN models are developed by using different input combinations with these four parameters. The GEP model with Ta, Tw, RC and Rh parameters has the highest R2 (0.812) and the lowest MSE (0.0066 mm/day) values for testing set. The R2 value of the best RBFN model is obtained as 0.794 with Ta Tw and Rh. It can be seen that the GEP model was slightly more superior to the RBFN model. It is concluded from the results that GEP and RBFN can be proposed as an alternative to daily pan evaporation measurement.
{"title":"Modeling of daily pan evaporation of Lake Eğirdir using data-driven techniques","authors":"O. Terzi","doi":"10.1109/INISTA.2011.5946109","DOIUrl":"https://doi.org/10.1109/INISTA.2011.5946109","url":null,"abstract":"Gene Expression Programming (GEP) and Radial Basis Function Network (RBFN) models are developed to estimate daily pan evaporation which is an important parameter in hydrological and meteorological studies. Meteorological parameters used to estimate daily pan evaporation from Lake Eğirdir at the southwestern part of Turkey are air temperature (T<inf>a</inf>), water temperature (T<inf>w</inf>), solar radiation (R<inf>C</inf>) and relative humidity (R<inf>h</inf>). The GEP and RBFN models are developed by using different input combinations with these four parameters. The GEP model with T<inf>a</inf>, T<inf>w</inf>, R<inf>C</inf> and R<inf>h</inf> parameters has the highest R<sup>2</sup> (0.812) and the lowest MSE (0.0066 mm/day) values for testing set. The R<sup>2</sup> value of the best RBFN model is obtained as 0.794 with T<inf>a</inf> T<inf>w</inf> and R<inf>h</inf>. It can be seen that the GEP model was slightly more superior to the RBFN model. It is concluded from the results that GEP and RBFN can be proposed as an alternative to daily pan evaporation measurement.","PeriodicalId":301397,"journal":{"name":"2011 International Symposium on Innovations in Intelligent Systems and Applications","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133471229","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-06-15DOI: 10.1109/INISTA.2011.5946066
A. Abdul-Ameer
The mathematical modelling of fluid power transmission systems involves solving a system of differential equations and addressing the problems generated by transient pressure propagation. The main difficulties in modelling pressurised, fluid pipelines arise from the complex interactions involving boundary conditions, reflections and non-linear behaviour. This paper presents a new method of modelling pipeline systems that provides an accurate transient response of the system incorporating a frequency-dependent fluid friction term. The modelling method employed is based upon distributed-lumped parameter modelling techniques which enable the inclusion of a wide variety of non-linear effects. The model comprises a distributed element representing the pressure and flow rate through out the length of the pipeline and a lumped element that represents the boundary conditions at the pipeline exit. The simulation results for the system are compared with experimental data validating thereby the analytical procedures proposed.
{"title":"Modelling of fluid power transmission systems","authors":"A. Abdul-Ameer","doi":"10.1109/INISTA.2011.5946066","DOIUrl":"https://doi.org/10.1109/INISTA.2011.5946066","url":null,"abstract":"The mathematical modelling of fluid power transmission systems involves solving a system of differential equations and addressing the problems generated by transient pressure propagation. The main difficulties in modelling pressurised, fluid pipelines arise from the complex interactions involving boundary conditions, reflections and non-linear behaviour. This paper presents a new method of modelling pipeline systems that provides an accurate transient response of the system incorporating a frequency-dependent fluid friction term. The modelling method employed is based upon distributed-lumped parameter modelling techniques which enable the inclusion of a wide variety of non-linear effects. The model comprises a distributed element representing the pressure and flow rate through out the length of the pipeline and a lumped element that represents the boundary conditions at the pipeline exit. The simulation results for the system are compared with experimental data validating thereby the analytical procedures proposed.","PeriodicalId":301397,"journal":{"name":"2011 International Symposium on Innovations in Intelligent Systems and Applications","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132661241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-06-15DOI: 10.1109/INISTA.2011.5946108
Yusuf Sahin, E. Duman
With the developments in information technology and improvements in communication channels, fraud is spreading all over the world, resulting in huge financial losses. Though fraud prevention mechanisms such as CHIP&PIN are developed, these mechanisms do not prevent the most common fraud types such as fraudulent credit card usages over virtual POS terminals through Internet or mail orders. As a result, fraud detection is the essential tool and probably the best way to stop such fraud types. In this study, classification models based on Artificial Neural Networks (ANN) and Logistic Regression (LR) are developed and applied on credit card fraud detection problem. This study is one of the firsts to compare the performance of ANN and LR methods in credit card fraud detection with a real data set.
{"title":"Detecting credit card fraud by ANN and logistic regression","authors":"Yusuf Sahin, E. Duman","doi":"10.1109/INISTA.2011.5946108","DOIUrl":"https://doi.org/10.1109/INISTA.2011.5946108","url":null,"abstract":"With the developments in information technology and improvements in communication channels, fraud is spreading all over the world, resulting in huge financial losses. Though fraud prevention mechanisms such as CHIP&PIN are developed, these mechanisms do not prevent the most common fraud types such as fraudulent credit card usages over virtual POS terminals through Internet or mail orders. As a result, fraud detection is the essential tool and probably the best way to stop such fraud types. In this study, classification models based on Artificial Neural Networks (ANN) and Logistic Regression (LR) are developed and applied on credit card fraud detection problem. This study is one of the firsts to compare the performance of ANN and LR methods in credit card fraud detection with a real data set.","PeriodicalId":301397,"journal":{"name":"2011 International Symposium on Innovations in Intelligent Systems and Applications","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117238501","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-06-15DOI: 10.1109/INISTA.2011.5946051
Zilei Sun, N. Luo, Wei Kuang
With the development of personalized recommendation, recommendation algorithms usually need to consider the specific feature of the system so as to obtain more information and get a better result. To improve the regular collaborative filtering algorithms, which is inefficiency and less concerned about item classification, this paper proposes a new item-classification-based algorithm. It proposes the concept of “User Interest Vector”, in order to present users interests and rating tendency better, and then correct the classification information of all the items. We believe this algorithm, which has a better accuracy and lower computation complexity in experiments, is worth popularization and becoming a new research direction of collaborative filtering algorithm.
{"title":"ICBCF: One item-classification-based collaborative filtering algorithm","authors":"Zilei Sun, N. Luo, Wei Kuang","doi":"10.1109/INISTA.2011.5946051","DOIUrl":"https://doi.org/10.1109/INISTA.2011.5946051","url":null,"abstract":"With the development of personalized recommendation, recommendation algorithms usually need to consider the specific feature of the system so as to obtain more information and get a better result. To improve the regular collaborative filtering algorithms, which is inefficiency and less concerned about item classification, this paper proposes a new item-classification-based algorithm. It proposes the concept of “User Interest Vector”, in order to present users interests and rating tendency better, and then correct the classification information of all the items. We believe this algorithm, which has a better accuracy and lower computation complexity in experiments, is worth popularization and becoming a new research direction of collaborative filtering algorithm.","PeriodicalId":301397,"journal":{"name":"2011 International Symposium on Innovations in Intelligent Systems and Applications","volume":"352 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115285199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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