標(biāo)題: Titlebook: Web and Big Data; Second International Yi Cai,Yoshiharu Ishikawa,Jianliang Xu Conference proceedings 2018 Springer Nature Switzerland AG 20 [打印本頁(yè)] 作者: 歸納 時(shí)間: 2025-3-21 16:45
書目名稱Web and Big Data影響因子(影響力)
書目名稱Web and Big Data影響因子(影響力)學(xué)科排名
書目名稱Web and Big Data網(wǎng)絡(luò)公開(kāi)度
書目名稱Web and Big Data網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書目名稱Web and Big Data被引頻次
書目名稱Web and Big Data被引頻次學(xué)科排名
書目名稱Web and Big Data年度引用
書目名稱Web and Big Data年度引用學(xué)科排名
書目名稱Web and Big Data讀者反饋
書目名稱Web and Big Data讀者反饋學(xué)科排名
作者: CARE 時(shí)間: 2025-3-21 22:09
Yangbin Chen,Yun Ma,Xudong Mao,Qing Liifted children, intensified enormously as result of my‘ involvement with one gifted child during my days as a school psychologist. At that time, I served a number of schools in a prosperous suburb. I spent most of my time working with children with behavioral and learning disorders. I received very 作者: ostrish 時(shí)間: 2025-3-22 01:26
ecomes a solid glass when its temperature is lowered or a solvent is extracted without crystallization. There are also dynamic effects. The viscosity of a liquid is small at high temperatures but increases dramatically as cooling proceeds down to the glass temperature T ? The increase is continuous 作者: nocturnal 時(shí)間: 2025-3-22 05:07 作者: 協(xié)議 時(shí)間: 2025-3-22 10:47 作者: delegate 時(shí)間: 2025-3-22 14:13 作者: 細(xì)查 時(shí)間: 2025-3-22 19:35 作者: Prostatism 時(shí)間: 2025-3-22 22:30 作者: Phonophobia 時(shí)間: 2025-3-23 02:21
Xiaotian Han,Chuan Shi,Lei Zheng,Philip S. Yu,Jianxin Li,Yuanfu Lue labour, those involved in the sex trade and those in domestic positions. These are women who are vulnerable, exploited, and whose dirty work allows for the reproduction of traditional social mores and roles. Yet while they are used to sustain tradition, dialectically they reflect the hyperconnecti作者: sed-rate 時(shí)間: 2025-3-23 08:08
Rank-Integrated Topic Modeling: A General Framework We apply our models on four real datasets and compare them with baseline topic models and the state-of-the-art link combined topic models in generalization performance, document classification, document clustering and topic interpretability. Experiments show that all rank-integrated topic models pe作者: syncope 時(shí)間: 2025-3-23 12:15 作者: 功多汁水 時(shí)間: 2025-3-23 17:22 作者: Aura231 時(shí)間: 2025-3-23 20:28 作者: 桶去微染 時(shí)間: 2025-3-23 23:25 作者: 蜿蜒而流 時(shí)間: 2025-3-24 04:38 作者: 網(wǎng)絡(luò)添麻煩 時(shí)間: 2025-3-24 08:55
Social Image Recommendation Based on Path Relevanceackle the challenges of highly spares representation problem in the social network scenario. Further, an approximate method is proposed to adaptively learn the weights of different semantic edges on the heterogeneous network. We evaluate our approach with a newly collected 100,000 social image data 作者: 燦爛 時(shí)間: 2025-3-24 14:35
Social Image Recommendation Based on Path Relevanceackle the challenges of highly spares representation problem in the social network scenario. Further, an approximate method is proposed to adaptively learn the weights of different semantic edges on the heterogeneous network. We evaluate our approach with a newly collected 100,000 social image data 作者: GEAR 時(shí)間: 2025-3-24 14:53
Zenan Xu,Yetao Fu,Xingming Chen,Yanghui Rao,Haoran Xie,Fu Lee Wang,Yang Peng作者: HILAR 時(shí)間: 2025-3-24 22:27
Zenan Xu,Yetao Fu,Xingming Chen,Yanghui Rao,Haoran Xie,Fu Lee Wang,Yang Peng作者: cylinder 時(shí)間: 2025-3-25 01:32
Jianjun Cheng,Longjie Li,Haijuan Yang,Qi Li,Xiaoyun Chen作者: Orchiectomy 時(shí)間: 2025-3-25 06:50
Jianjun Cheng,Longjie Li,Haijuan Yang,Qi Li,Xiaoyun Chen作者: LUMEN 時(shí)間: 2025-3-25 07:56 作者: 流出 時(shí)間: 2025-3-25 12:42 作者: genesis 時(shí)間: 2025-3-25 16:25
g with broken charges, physical input for low-dimensional geometry, measurement philoso- phy in quantum mechanics, coherent X-ray radiation for materials resear978-3-642-07519-3978-3-662-04365-3Series ISSN 0933-033X Series E-ISSN 2196-2812 作者: sperse 時(shí)間: 2025-3-25 21:08 作者: 后來(lái) 時(shí)間: 2025-3-26 03:09
kgrounds in analysis will find basic material, results, and motivations from which they can begin to develop deeper and more general results. We must emphasize that the aim of this book (the first on the sUbject): to satisfy such a diverse audience, is quite difficult. In particular, our detailed de作者: lobster 時(shí)間: 2025-3-26 04:45 作者: defenses 時(shí)間: 2025-3-26 09:55 作者: 使苦惱 時(shí)間: 2025-3-26 15:49
Jian Xu,Xiaoyi Fu,Liming Tu,Ming Luo,Ming Xu,Ning Zhengrent aspects of the condition of the global environment: the natural science component; the socio-economic component; and the energy component which links these two. On the first day the symposium began with a plenary speech by Dr. J. Kondo followed by three keynote speeches, each with a particular focus. The978-3-662-01087-7978-3-662-01085-3作者: CHART 時(shí)間: 2025-3-26 16:58
Guowang Du,Lihua Zhou,Lizhen Wang,Hongmei Chen these flows are intrinsically low dimensional, which accounts for much of the observed similarities. Open flows seem to be different, and experimental observations point to an intrinsic high dimensionality. However, some of the tran- sitional features of the low dimensional systems have been observ作者: cultivated 時(shí)間: 2025-3-26 23:03 作者: Limerick 時(shí)間: 2025-3-27 02:10
Xiaotian Han,Chuan Shi,Lei Zheng,Philip S. Yu,Jianxin Li,Yuanfu Luce; Turkey; and Cyprus. These are countries at the crossroads, in flux, whose peripheral siting at the centre of global capitalism provides unusual insight into the dark recesses of patriarchy, paternalism and exploitation.978-1-4039-7586-7978-1-4039-8148-6作者: Affluence 時(shí)間: 2025-3-27 08:28
Conference proceedings 2018lly reviewed and selected from 168 submissions.?The papers are organized around the following topics: Text Analysis, Social Networks, Recommender Systems, Information Retrieval, Machine Learning, Knowledge Graphs, Database and Web Applications, Data Streams, Data Mining and Application, Query Processing, Big Data and Blockchain..作者: correspondent 時(shí)間: 2025-3-27 12:15
Abstractive Summarization with the Aid of Extractive Summarizationextractive task to strengthen their consistency. Experiments on the CNN/DailyMail dataset demonstrate that both the auxiliary task and the attention constraint contribute to improve the performance significantly, and our model is comparable to the state-of-the-art abstractive models.作者: 削減 時(shí)間: 2025-3-27 14:28
Abstractive Summarization with the Aid of Extractive Summarizationextractive task to strengthen their consistency. Experiments on the CNN/DailyMail dataset demonstrate that both the auxiliary task and the attention constraint contribute to improve the performance significantly, and our model is comparable to the state-of-the-art abstractive models.作者: otic-capsule 時(shí)間: 2025-3-27 19:11 作者: FECT 時(shí)間: 2025-3-27 22:30 作者: arabesque 時(shí)間: 2025-3-28 04:40 作者: Finasteride 時(shí)間: 2025-3-28 07:34
Personalized Top-, Influential Community Search over Large Social Networkssuch networks, we first introduce a search space refinement method. We then present pruning based and heuristic based search approaches. The proposed algorithms more than double the efficiency of the search performance for basic solutions. The effectiveness and efficiency of our algorithms have been verified using four real datasets.作者: Pageant 時(shí)間: 2025-3-28 13:57
Matrix Factorization Meets Social Network Embedding for Rating Predictionin the variation in people’s feedback. Furthermore, the influence of different social network embedding strategies on our framework are compared. Experiments on three real datasets validate the effectiveness of the proposed solution.作者: 責(zé)問(wèn) 時(shí)間: 2025-3-28 16:24 作者: 痛打 時(shí)間: 2025-3-28 22:20
Multivariate Time Series Clustering via Multi-relational Community Detection in Networksthe ability of networks to characterize both local and global relationship amongst nodes (representing data samples), while the use of MNMF can give full play to complex relations amongst individual series and preserve the multi-way nature of multivariate information. Preliminary experiment indicates promising results of our proposed approach.作者: Instantaneous 時(shí)間: 2025-3-29 00:05
Multivariate Time Series Clustering via Multi-relational Community Detection in Networksthe ability of networks to characterize both local and global relationship amongst nodes (representing data samples), while the use of MNMF can give full play to complex relations amongst individual series and preserve the multi-way nature of multivariate information. Preliminary experiment indicates promising results of our proposed approach.作者: 彎曲道理 時(shí)間: 2025-3-29 03:42
Attentive and Collaborative Deep Learning for Recommendationmodel, learning of latent factors of users and items can be facilitated by deep processing of items’ tag information. Furthermore, user preferences learned are interpretable. Experiments conducted on a real world dataset demonstrate that our model can significantly outperform the state-of-the-art deep collaborative filtering models.作者: NOVA 時(shí)間: 2025-3-29 10:08
Attentive and Collaborative Deep Learning for Recommendationmodel, learning of latent factors of users and items can be facilitated by deep processing of items’ tag information. Furthermore, user preferences learned are interpretable. Experiments conducted on a real world dataset demonstrate that our model can significantly outperform the state-of-the-art deep collaborative filtering models.作者: impaction 時(shí)間: 2025-3-29 14:35 作者: 記憶法 時(shí)間: 2025-3-29 15:55
Sentiment Classification via Supplementary Information Modeling methods. Results show that our model can not only successfully capture the effect of negation and intensity words, but also achieve significant improvements over state-of-the-art deep neural network baselines without supplementary features.作者: Lament 時(shí)間: 2025-3-29 20:13 作者: 減至最低 時(shí)間: 2025-3-30 02:03
Sentiment Classification via Supplementary Information Modeling methods. Results show that our model can not only successfully capture the effect of negation and intensity words, but also achieve significant improvements over state-of-the-art deep neural network baselines without supplementary features.作者: 把手 時(shí)間: 2025-3-30 06:47
An Estimation Framework of Node Contribution Based on Diffusion Informationmportance of nodes in the spreading processes. Then, we propose an estimation framework and give the method to estimate node contribution based on diffusion samples. Accordingly, the Contribution Estimation algorithm is proposed upon the framework. Finally, we implement our algorithm and test the efficiency on two weighted social networks.作者: 溺愛(ài) 時(shí)間: 2025-3-30 12:12 作者: HAWK 時(shí)間: 2025-3-30 14:47 作者: flourish 時(shí)間: 2025-3-30 18:34 作者: 學(xué)術(shù)討論會(huì) 時(shí)間: 2025-3-30 23:24
Training Set Similarity Based Parameter Selection for Statistical Machine Translationed on the characteristics of different feature functions themselves without any assumption on unseen test sets. Experimental results on two language pairs (Zh-En and Ug-Zh) show that our method leads to the improvements up?to 2.4 and 2.2 BLEU score respectively, and it also shows the good interpretability of our proposed method.作者: 令人苦惱 時(shí)間: 2025-3-31 02:08 作者: Infantry 時(shí)間: 2025-3-31 07:16 作者: Temporal-Lobe 時(shí)間: 2025-3-31 12:07 作者: indifferent 時(shí)間: 2025-3-31 15:38 作者: 橫截,橫斷 時(shí)間: 2025-3-31 19:51
0302-9743 PWeb-WAIM 2018, held in Macau, China in July 2018..The 40 full papers presented together with 30 short papers, 6 demonstration papers and 3 keynotes were carefully reviewed and selected from 168 submissions.?The papers are organized around the following topics: Text Analysis, Social Networks, Recomm作者: Bravado 時(shí)間: 2025-4-1 01:22 作者: 無(wú)動(dòng)于衷 時(shí)間: 2025-4-1 05:48 作者: 截?cái)?nbsp; 時(shí)間: 2025-4-1 06:39
Abstractive Summarization with the Aid of Extractive Summarizations and advantages of both approaches, we propose in this paper a general framework for abstractive summarization which incorporates extractive summarization as an auxiliary task. In particular, our framework is composed of a shared hierarchical document encoder, an attention-based decoder for abstrac作者: 茁壯成長(zhǎng) 時(shí)間: 2025-4-1 10:56 作者: 說(shuō)明 時(shí)間: 2025-4-1 16:27 作者: TIA742 時(shí)間: 2025-4-1 19:02
Similarity Calculations of Academic Articles Using Topic Events and Domain Knowledgeel semantic matching remains largely unexplored due to its complexity. In this paper, we explore the document-level semantic similarity issue in the academic literatures using an interpretable method. To integrally describe the semantics of an article, we construct a topic event model that utilizes 作者: 設(shè)施 時(shí)間: 2025-4-2 01:01 作者: 茁壯成長(zhǎng) 時(shí)間: 2025-4-2 02:54 作者: 慢跑 時(shí)間: 2025-4-2 08:08
Similarity Calculations of Academic Articles Using Topic Events and Domain Knowledgeel semantic matching remains largely unexplored due to its complexity. In this paper, we explore the document-level semantic similarity issue in the academic literatures using an interpretable method. To integrally describe the semantics of an article, we construct a topic event model that utilizes 作者: Narcissist 時(shí)間: 2025-4-2 13:02 作者: tinnitus 時(shí)間: 2025-4-2 15:44 作者: 執(zhí)拗 時(shí)間: 2025-4-2 22:31 作者: motivate 時(shí)間: 2025-4-3 00:43
Training Set Similarity Based Parameter Selection for Statistical Machine Translationgned a weight as a model parameter. In this paper, we consider that different input source sentences may have discrepant needs for model parameters. To adapt the model to different inputs, we propose a model parameters selection method for log-linear model based SMT systems. The method is mainly bas作者: 反感 時(shí)間: 2025-4-3 05:18
Identifying Scholarly Communities from Unstructured Texts have high computational complexity and are challenging to construct in practice. We propose a novel alternative that can identify scholarly communities directly from large textual corpora. To our knowledge, this is the first study intended to detect communities directly from unstructured texts. Gen作者: 售穴 時(shí)間: 2025-4-3 10:21 作者: 休閑 時(shí)間: 2025-4-3 14:46
