2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)最新文献_第2页

Multi-clause synergized contradiction separation based first-order theorem prover — MC-SCS 基于多子句协同矛盾分离的一阶定理证明器- MC-SCS

2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) Pub Date : 2017-11-01 DOI: 10.1109/ISKE.2017.8258793

Jian Zhong, Feng Cao, Guanfeng Wu, Yang Xu, Jun Liu

引用次数: 2

Using deep learning to recognize biomedical entities 使用深度学习来识别生物医学实体

2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) Pub Date : 2017-11-01 DOI: 10.1109/ISKE.2017.8258746

Xuemin Yang, Zhifei Zhang, R. Yang, Daoyu Huang, Geng Yang, Lejun Gong

引用次数: 3

A similarity index algorithm for link prediction 链接预测的相似度索引算法

2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) Pub Date : 2017-11-01 DOI: 10.1109/ISKE.2017.8258724

M. Xu, Yongchao Yin

{"title":"A similarity index algorithm for link prediction","authors":"M. Xu, Yongchao Yin","doi":"10.1109/ISKE.2017.8258724","DOIUrl":"https://doi.org/10.1109/ISKE.2017.8258724","url":null,"abstract":"Link prediction in networks is that using the existing known network structure or node information to predict the possibility between the two nodes which haven't connected to each other. It's important to learn about the evolution mechanism of network and the interaction relationship of nodes. The link possibility between nodes is closely related to the similarity. The method which is based on the node attributes and local information has the simple and direct calculation and better effect of prediction. So it is more suitable for the large-scale network applications. But it only considers the degree of final nodes or neighbor nodes and the number of neighbor nodes. Does not take into account that each neighbor nodes has the different effect for the different final nodes. The paper through experiments to analysis and compare different similarity contribution of neighbor nodes and end points. And further verified the weak-link effect in networks. Also we proposed a new common neighbor measurement algorithm, through distinguish the influence of each common neighbor for the different end nodes so that the prediction accuracy has been further improved.","PeriodicalId":208009,"journal":{"name":"2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","volume":"05 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130073542","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}

引用次数: 9

Attention-based recurrent neural network for location recommendation 基于注意力的递归神经网络位置推荐

2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) Pub Date : 2017-11-01 DOI: 10.1109/ISKE.2017.8258747

Bin Xia, Yun Li, Qianmu Li, Tao Li

{"title":"Attention-based recurrent neural network for location recommendation","authors":"Bin Xia, Yun Li, Qianmu Li, Tao Li","doi":"10.1109/ISKE.2017.8258747","DOIUrl":"https://doi.org/10.1109/ISKE.2017.8258747","url":null,"abstract":"Due to the rapid development of Location-Based Social Networks (LBSNs), the Point of Interest (POI) recommendation has been attracted a lot of research attention. Based on the LBSNs, users are able to share their relevant visiting experience via check-in records. The sequential check-in data not only explicitly show users' moving trajectories, but also implicitly describe personal preferences and corresponding life patterns based on different contexts (e.g., time and geographical locations). The traditional POI recommender systems only consider common contexts (e.g., visit frequency, distance, and social relationship), but ignore the significance of life patterns for individuals during different time periods. In addition, current recommender systems hardly provide interpretable and explainable recommendations based on these limited contexts. In this paper, we propose an Attention-based Recurrent Neural Network (ARNN) to provide an explainable recommendation based on the sequential check-in data of the corresponding user. Our proposed approach makes use of the sequential check-in data to capture users' life pattern and utilizes a deep neural network to provide transparent recommendations. The major contribution of this paper are: (1) the proposed model is capable of providing explainable recommendations based on life patterns which implicitly describes the preference of the corresponding user; (2) the proposed approach is able to design a visiting plan (i.e., a series of recommendations) based on users' past visiting patterns instead of simply showing top-N recommendations; (3) we evaluate our proposed approach against a real world dataset and compare it to other start-of-the-art approaches.","PeriodicalId":208009,"journal":{"name":"2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131980061","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}

引用次数: 30

A relation prediction method based on PU learning 一种基于PU学习的关系预测方法

2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) Pub Date : 2017-11-01 DOI: 10.1109/ISKE.2017.8258752

Gao-Jing Peng, Ke-Jia Chen, Shijun Xue, Bin Liu

引用次数: 1

On a class of uninorms of which the underlying operators are involutive and left-continuous 一类下算子为对合左连续的一致通知

2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) Pub Date : 2017-11-01 DOI: 10.1109/ISKE.2017.8258725

Gang Li, Zhenbo Li, Yongqiang Ren, Qingbo Yang, Huawen Liu

引用次数: 0

Label-expanded manifold regularization for semi-supervised classification 半监督分类的标签扩展流形正则化

2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) Pub Date : 2017-11-01 DOI: 10.1109/ISKE.2017.8258775

Yating Shen, Yunyun Wang, Zhiguo Ma

引用次数: 1

Filtering performance analysis and application study of advertising filtering tools 广告过滤工具的过滤性能分析及应用研究

2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) Pub Date : 2017-11-01 DOI: 10.1109/ISKE.2017.8258716

Jun Huang, Weiqing Cheng

引用次数: 1

Recommendation system based on trusted relation transmission 基于信任关系传输的推荐系统

2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) Pub Date : 2017-11-01 DOI: 10.1109/ISKE.2017.8258843

Yixiong Bian, Huakang Li

{"title":"Recommendation system based on trusted relation transmission","authors":"Yixiong Bian, Huakang Li","doi":"10.1109/ISKE.2017.8258843","DOIUrl":"https://doi.org/10.1109/ISKE.2017.8258843","url":null,"abstract":"With the rapid development of the internet, applications of recommendation systems for online shops and entertainment platforms become more and more popular. In order to improve the effectiveness of recommendation, external information has been incorporated into various algorithms, such as location and social relationship. However, most algorithms only focus on the introduction of external information without depth analysis of the intrinsic mechanism in the external information. This paper proposed a transfer model of social trusted relationship, and optimized the reliability of the transfer model using pruning algorithm based on original trust recommendation. A credible social relationship macro-transfer model based on iterations of new credible relationships is defined by the similarity of social relationships. With a certain interest topic as a source of information, a micro-transfer model achieves the theme of interest and credibility of the expansion using social information dissemination algorithm. To demonstrate the effectiveness of the macro and micro credible transfer models, we used the Mantra search tree pruning algorithm and the optimization algorithm of similar category replacing similar products. The experimental results show that the proposed method based on the macroscopic and microscopic transfer models of the trusted relationship enhances the success rate and stability of the recommended system.","PeriodicalId":208009,"journal":{"name":"2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122806760","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}

引用次数: 1

Linguistic-valued lattice implication algebra TOPSIS method based on entropy weight method 基于熵权法的语言值格蕴涵代数TOPSIS方法

2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) Pub Date : 2017-11-01 DOI: 10.1109/ISKE.2017.8258787

Hongdong Wang, Jia Meng, L. Zou, Siyuan Luo, Yuanyuan Shi

引用次数: 1