標題: Titlebook: Web Technologies and Applications; 18th Asia-Pacific We Feifei Li,Kyuseok Shim,Guanfeng Liu Conference proceedings 2016 Springer Internatio [打印本頁] 作者: 能干 時間: 2025-3-21 17:53
書目名稱Web Technologies and Applications影響因子(影響力)
書目名稱Web Technologies and Applications影響因子(影響力)學科排名
書目名稱Web Technologies and Applications網絡公開度
書目名稱Web Technologies and Applications網絡公開度學科排名
書目名稱Web Technologies and Applications被引頻次
書目名稱Web Technologies and Applications被引頻次學科排名
書目名稱Web Technologies and Applications年度引用
書目名稱Web Technologies and Applications年度引用學科排名
書目名稱Web Technologies and Applications讀者反饋
書目名稱Web Technologies and Applications讀者反饋學科排名
作者: bacteria 時間: 2025-3-21 21:24
Spica: A Path Bundling Model for Rational Route Recommendationdel based on a real-world trajectory data set generated by totally 44,593,706 passage records in a period of a week, and evaluate the performance of our model by conducting extensive experiments. The recommended routes are effective and JT gives evidence of its rationality over previous ways.作者: 增長 時間: 2025-3-22 00:40
FHSM: Factored Hybrid Similarity Methods for Top-N Recommender Systemsiple datasets is conducted to evaluate the performance of the proposed methods. The experimental results demonstrate the factored hybrid similarity methods (FHSM) achieve a superior recommendation quality in comparison with state-of-the-art methods.作者: Expediency 時間: 2025-3-22 05:55
A Workload-Driven Vertical Partitioning Approach Based on Streaming Framework then obtain the optimal partitioning scheme by a cost model. The experimental results show that . has good partitioning quality and lower time complexity than existing vertical partitioning method. It is an efficient partitioning method for processing the dynamic and large scale queries.作者: 摸索 時間: 2025-3-22 11:46
Academic Paper Recommendation Based on Community Detection in Citation-Collaboration Networkscommendation system based on the dataset from Microsoft Academic Graph. Performance evaluation based on the assessments of 20 volunteers show that the proposed paper recommendation methods outperform the conventional search engine algorithm such as PageRank. The efficiency of the proposed algorithms are verified by evaluation.作者: FANG 時間: 2025-3-22 14:38
Spica: A Path Bundling Model for Rational Route Recommendationdel based on a real-world trajectory data set generated by totally 44,593,706 passage records in a period of a week, and evaluate the performance of our model by conducting extensive experiments. The recommended routes are effective and JT gives evidence of its rationality over previous ways.作者: farewell 時間: 2025-3-22 17:15 作者: 無聊的人 時間: 2025-3-23 00:31
A Context-Aware Method for Top-k Recommendation in Smart TVaset in many respects, and provide details on the experimentation and evaluation framework. Result shows that RSTV performs better comparing to many other baselines. We analyse the influence of some of the parameters as well as the contextual granularity.作者: Immunization 時間: 2025-3-23 02:25 作者: tackle 時間: 2025-3-23 06:48 作者: archenemy 時間: 2025-3-23 12:46
Conference proceedings 2016bmissions...the focus of the conference was on following subjects:?...Spatio-temporal,Textual and Multimedia Data Management..Social Media Data Analysis..Modellingand Learning with Big Data..Streamingand Real-time Data Analysis..Recommendation System..Data Quality and Privacy..QueryOptimization and Scalable Data Processing. .作者: ARCH 時間: 2025-3-23 15:19
Flexible and Adaptive Stream Join Algorithm model on distributed stream joins and supports arbitrary join predicates. It can handle data skew perfectly since it randomly routes tuples to cells with each steam corresponding to one side of the matrix. Designing of the partitioning scheme of the matrix is a determining factor to maximize system作者: 消極詞匯 時間: 2025-3-23 19:39 作者: orthopedist 時間: 2025-3-23 23:24 作者: Albinism 時間: 2025-3-24 04:24 作者: Irrepressible 時間: 2025-3-24 08:52
Flexible and Adaptive Stream Join Algorithm model on distributed stream joins and supports arbitrary join predicates. It can handle data skew perfectly since it randomly routes tuples to cells with each steam corresponding to one side of the matrix. Designing of the partitioning scheme of the matrix is a determining factor to maximize system作者: Feature 時間: 2025-3-24 13:28 作者: STENT 時間: 2025-3-24 17:43 作者: Facilities 時間: 2025-3-24 22:35
A Workload-Driven Vertical Partitioning Approach Based on Streaming Frameworkement for large scale OLTP and OLAP applications. Horizontal and vertical database partitioning can improve the performance and manageability for shared-nothing systems which are popular in nowadays. However, the existing partitioning techniques can’t deal with dynamic information efficiently and ca作者: 引導 時間: 2025-3-25 01:50
A Target-Dependent Sentiment Analysis Method for Micro-blog Streamsdependent sentiment analysis methods can not get acceptable accuracy. Recently some new sentiment analysis methods using Recursive Neural Networks (RNN) are promissing but they are not target-dependent. In this paper we propose a target-dependent sentiment analysis method for micro-blog streams base作者: Explicate 時間: 2025-3-25 06:27
Spica: A Path Bundling Model for Rational Route Recommendationrds. In this model, the traffic surveillance system is employed to probe the traffic rhythm of a city and vehicle traveling record’s intelligence is used to choose driving directions in the real world. We propose Joint Technique (JT) to build Time-Dependent Joint (TDJ) graph and model the dynamic tr作者: Additive 時間: 2025-3-25 10:13 作者: 間諜活動 時間: 2025-3-25 13:06
FHSM: Factored Hybrid Similarity Methods for Top-N Recommender Systemss or users. However, conventional item-based or user-based CF methods only consider either the item similarity or the user similarity. In this paper, we present hybrid-based methods for generating top-N recommendations in which both the item-item and user-user similarities are captured by the dot pr作者: visceral-fat 時間: 2025-3-25 19:04
Real-Time Anomaly Detection over ECG Data Stream Based on Component Spectrumd with particular difficulties including high real-time requirement and poor data quality. In this article, a novel method based on component spectrum is presented to provide a practicable solution for the problem. Experiments on real data show that the proposed method achieves high sensitivity, hig作者: spinal-stenosis 時間: 2025-3-25 20:54
Personalized Resource Recommendation Based on Regular Tag and User Operation and affect the accuracy of recommendation. To address these problems, we consider from the perspective of resource provider and propose a resource recommendation framework based on regular tags and user operation feedbacks. Based on these concepts, we design the user feature representation integrat作者: 橫條 時間: 2025-3-26 02:05
A Workload-Driven Vertical Partitioning Approach Based on Streaming Frameworkement for large scale OLTP and OLAP applications. Horizontal and vertical database partitioning can improve the performance and manageability for shared-nothing systems which are popular in nowadays. However, the existing partitioning techniques can’t deal with dynamic information efficiently and ca作者: oxidize 時間: 2025-3-26 05:44 作者: mechanism 時間: 2025-3-26 09:30 作者: G-spot 時間: 2025-3-26 15:00 作者: Lethargic 時間: 2025-3-26 19:14 作者: 袋鼠 時間: 2025-3-26 22:39
A Context-Aware Method for Top-k Recommendation in Smart TVe video recommendation model for smart TV service (RSTV) based on the developed Latent Dirichlet allocation(LDA) to make personalized top-k video recommendation. In addition, we present proper solutions for some critical problems of the smart TV recommender system, such as sparsity problem and conte作者: Foment 時間: 2025-3-27 01:16
Personalized Resource Recommendation Based on Regular Tag and User Operation and affect the accuracy of recommendation. To address these problems, we consider from the perspective of resource provider and propose a resource recommendation framework based on regular tags and user operation feedbacks. Based on these concepts, we design the user feature representation integrat作者: 羽飾 時間: 2025-3-27 09:20 作者: 充氣球 時間: 2025-3-27 13:22 作者: Insufficient 時間: 2025-3-27 17:31
Academic Paper Recommendation Based on Community Detection in Citation-Collaboration Networksation, which intends to recommend the most valuable literature in a domain area to the users. In this paper, we show that exploring the relationship of collaboration between authors and the citation between publications can reveal implicit relevance between papers. By studying the community structur作者: Genetics 時間: 2025-3-27 19:56
An Approach for Cross-Community Content Recommendation: A Case Study on Dockeredented level. However, the rapid expansion of open source communities results in a lot of redundant contents within the community, and most importantly, among communities since they overlap each other with shared issues. On the one hand, redundant contents that are expressed in informal free texts 作者: 暖昧關系 時間: 2025-3-27 23:20
Improving Recommendation Accuracy for Travelers by Exploiting POI Correlationsly focus on local users. According to user’s activity areas, e.g., home and workplace, nearby locations have higher probability to be recommended. However, in many practical scenarios such as urban tourism, target users are usually out-of-town travelers. Their preferences are hard to model due to sp作者: Dissonance 時間: 2025-3-28 05:43
Scalable Private Blocking Technique for Privacy-Preserving Record Linkagesubject in many application areas, including business, government, and health. When we collect data which is about people from these areas, integrating such data across organizations can raise privacy concerns. To prevent privacy breaches, ideally records should be linked in a private way such that 作者: Stress-Fracture 時間: 2025-3-28 08:18 作者: Charade 時間: 2025-3-28 13:12
A Hybrid Method for POI Recommendation: Combining Check-In Count, Geographical Information and Revieons of users to share their locations or experiences. Point of Interest (POI) recommendation plays an important role in exploring attractive locations. POI recommendation is associated with multi-dimensional factors, such as check-in counts, geographical influence, and review text. Although GeoMF ca作者: 津貼 時間: 2025-3-28 17:45
Improving Temporal Recommendation Accuracy and Diversity via Long and Short-Term Preference Transferds to improve recommendation performance. In this paper, we present a novel approach to improve personalized recommendation performance with changing user preferences based on temporal dataset. In the approach, we take consideration of different influence of long and short-term user preferences and 作者: 廢止 時間: 2025-3-28 19:42
An Approach for Cross-Community Content Recommendation: A Case Study on Dockeredented level. However, the rapid expansion of open source communities results in a lot of redundant contents within the community, and most importantly, among communities since they overlap each other with shared issues. On the one hand, redundant contents that are expressed in informal free texts 作者: 增長 時間: 2025-3-29 00:43
Scalable Private Blocking Technique for Privacy-Preserving Record Linkagesubject in many application areas, including business, government, and health. When we collect data which is about people from these areas, integrating such data across organizations can raise privacy concerns. To prevent privacy breaches, ideally records should be linked in a private way such that 作者: 柳樹；枯黃 時間: 2025-3-29 05:16 作者: 嫻熟 時間: 2025-3-29 10:52
Finding Frequent Items in Time Decayed Data StreamsSSQ) and Filtered Space Saving with Quasi-heap (FSSQ), are proposed to find the frequently occurring items based on the Quasi-heap structure. Extensive experiments demonstrate the superiority of proposed algorithms in terms of both efficiency (i.e., response time) and effectiveness (i.e., accuracy).作者: 吵鬧 時間: 2025-3-29 15:06
A Target-Dependent Sentiment Analysis Method for Micro-blog Streamslevant parts from the syntax tree. The original recursive neural network model is extended to support target-dependent sentiment analysis better. Experimental results on two corpuses with different targets show that the performance of our method is better than previous methods.作者: –FER 時間: 2025-3-29 16:36
Finding Frequent Items in Time Decayed Data StreamsSSQ) and Filtered Space Saving with Quasi-heap (FSSQ), are proposed to find the frequently occurring items based on the Quasi-heap structure. Extensive experiments demonstrate the superiority of proposed algorithms in terms of both efficiency (i.e., response time) and effectiveness (i.e., accuracy).作者: 搖晃 時間: 2025-3-29 21:07 作者: miracle 時間: 2025-3-30 02:05
Improving Temporal Recommendation Accuracy and Diversity via Long and Short-Term Preference Transfererm Graph, a graph model modified from Session-based Temporal Graph, to recommend unknown items. Finally,?the experimental results show that our approach achieves important improvements compared to some existing approaches in performance.作者: 歡樂東方 時間: 2025-3-30 08:02 作者: 植物群 時間: 2025-3-30 11:39
0302-9743 a Data Management..Social Media Data Analysis..Modellingand Learning with Big Data..Streamingand Real-time Data Analysis..Recommendation System..Data Quality and Privacy..QueryOptimization and Scalable Data Processing. .978-3-319-45816-8978-3-319-45817-5Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: Urologist 時間: 2025-3-30 15:45
0302-9743 rence APWeb 2016 held in Suzhou, China, in September 2016...?..The 79 full papers and presented together with 24 short papers and 17 demo papers were carefully reviewed and selected from 215 submissions...the focus of the conference was on following subjects:?...Spatio-temporal,Textual and Multimedi作者: 枯燥 時間: 2025-3-30 19:29 作者: Constrain 時間: 2025-3-30 23:24 作者: 極少 時間: 2025-3-31 02:49
Flexible and Adaptive Stream Join Algorithmeme; then a migration plan generator decides how to migrate data among machines under the consideration of minimizing migration cost while ensuring correctness. Extensive experiments are done on different kind of join workloads and show high competence comparing with baseline systems on benchmark.作者: 環(huán)形 時間: 2025-3-31 06:11
Online Streaming Feature Selection Using Sampling Technique and Correlations Between Featuresance of the proposed algorithms for online streaming feature selection on several public datasets, and demonstrate their applications to real-world problems as image classification in computer vision. From Experiments, we can see that our algorithm consistently surpassed the baseline algorithms for 作者: 不安 時間: 2025-3-31 12:57 作者: 危險 時間: 2025-3-31 14:56 作者: 激勵 時間: 2025-3-31 17:49 作者: Magisterial 時間: 2025-4-1 01:26 作者: 浮雕寶石 時間: 2025-4-1 05:18
Personalized Resource Recommendation Based on Regular Tag and User Operationtive filtering and the social-tag-based collaborative filtering, our approach can effectively alleviate the sparsity problem of tag data and user rating data, and our proposed user feature is more accurate to improve the performance of the recommendation system.作者: ADORN 時間: 2025-4-1 07:29 作者: 桉樹 時間: 2025-4-1 12:22 作者: sorbitol 時間: 2025-4-1 17:19
Improving Recommendation Accuracy for Travelers by Exploiting POI Correlationsncorporating these three factors into the learning of latent space, a novel matrix factorization approach (INRMF) is proposed. Further experiments conducted on real dataset show our approach is competitive against state-of-art works.作者: 繁殖 時間: 2025-4-1 21:31 作者: 消極詞匯 時間: 2025-4-2 02:34
A Hybrid Method for POI Recommendation: Combining Check-In Count, Geographical Information and Revieatent check-in counts in MF, and utilize hidden review topics obtained from LDA by a transformation. The results of our experiments on the real-world dataset show that our proposed model can improve the performance of recommendation.作者: 滔滔不絕地說 時間: 2025-4-2 05:58
An Approach for Cross-Community Content Recommendation: A Case Study on Dockerat communities as isolated islands, and few of them have tackle the problem of content recommendation across multiple communities. In this paper, we firstly analyze five popular open source communities, and then propose an approach of cross-community content recommendation based on LDA topic model, 作者: Jocose 時間: 2025-4-2 07:17
Scalable Private Blocking Technique for Privacy-Preserving Record Linkagey in their ability to balance competing goals of accuracy, efficiency and security. In this paper, we propose a novel private blocking approach for PPRL based on dynamic .-anonymous blocking and Paillier cryptosystem. In dynamic .-anonymous blocking, our approach dynamically generates blocks satisfy作者: gerrymander 時間: 2025-4-2 13:36 作者: 輕彈 時間: 2025-4-2 17:11
hence an increase in memory use and processing power, possibly to a point where the sentence can no longer be handled. Additional grammar, such as syntactic or semantic subcategorisation or word order and agreement constraints can help to dampen search because it provides information to the hearer w作者: Water-Brash 時間: 2025-4-2 19:57 作者: Goblet-Cells 時間: 2025-4-2 23:37 作者: prediabetes 時間: 2025-4-3 04:27 作者: FLAIL 時間: 2025-4-3 09:07 作者: Ptosis 時間: 2025-4-3 13:37
