標(biāo)題: Titlebook: Computer Supported Cooperative Work and Social Computing; 17th CCF Conference, Yuqing Sun,Tun Lu,Bowen Du Conference proceedings 2023 The E [打印本頁] 作者: 兩邊在擴(kuò)散 時(shí)間: 2025-3-21 19:38
書目名稱Computer Supported Cooperative Work and Social Computing影響因子(影響力)
書目名稱Computer Supported Cooperative Work and Social Computing影響因子(影響力)學(xué)科排名
書目名稱Computer Supported Cooperative Work and Social Computing網(wǎng)絡(luò)公開度
書目名稱Computer Supported Cooperative Work and Social Computing網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Computer Supported Cooperative Work and Social Computing被引頻次
書目名稱Computer Supported Cooperative Work and Social Computing被引頻次學(xué)科排名
書目名稱Computer Supported Cooperative Work and Social Computing年度引用
書目名稱Computer Supported Cooperative Work and Social Computing年度引用學(xué)科排名
書目名稱Computer Supported Cooperative Work and Social Computing讀者反饋
書目名稱Computer Supported Cooperative Work and Social Computing讀者反饋學(xué)科排名
作者: 皮薩 時(shí)間: 2025-3-22 00:11 作者: VOK 時(shí)間: 2025-3-22 03:49
Context-Aware Quaternion Embedding for?Knowledge Graph Completionis a collection of factual triples, but most of them are incomplete. At present, some models use complex rotation to model triples, and obtain more effective results. However, such models generally use specific structures to learn the representation of entities or relationships, and do not make full作者: 高歌 時(shí)間: 2025-3-22 08:16
Dependency-Based Task Assignment in?Spatial Crowdsourcing. Complex tasks account for an increasing proportion of task assignment demands, most of the previous researches on complex task assignment have ignored the dependency relationships between tasks, resulting in many invalid matches and wasting worker resources. A complex task can be assigned only aft作者: Incorruptible 時(shí)間: 2025-3-22 10:17
ICKG: An I Ching Knowledge Graph Tool Revealing Ancient Wisdomprofound book of dialectical philosophy with a series of philosophical thoughts and intellectual wisdom. However, due to its rich and special knowledge, it is difficult for traditional methods to mine deeper knowledge. This article first gives a brief introduction to the I Ching. Then, according to 作者: 削減 時(shí)間: 2025-3-22 14:13
Collaborative Analysis on Code Structure and Semanticsfunction call graph of code and use it to obtain the structure semantics with the graph auto-encoder. Then the function semantics are obtained with the names and definition of the used library functions and built-in classes in code. Finally, we integrate the structure and function semantics to colla作者: 削減 時(shí)間: 2025-3-22 21:04 作者: 陶瓷 時(shí)間: 2025-3-22 23:56
An Adaptive Parameter DBSCAN Clustering and Reputation-Aware QoS Prediction Methodive filtering algorithms have been widely used in QoS prediction. As a group intelligence algorithm, it relies on a large amount of historical QoS data, so the data credibility should be ensured first. Previous work, attempts to identify outliers through clustering algorithms, however, historical Qo作者: bisphosphonate 時(shí)間: 2025-3-23 03:06 作者: 培養(yǎng) 時(shí)間: 2025-3-23 09:31
Scene Adaptive Persistent Target Tracking and Attack Method Based on Deep Reinforcement Learningrs because of their high degree of autonomy and flexibility. They can independently track and attack dynamic targets. However, traditional tracking attack algorithms are sensitive to the changes of the external environment, and does not have mobility and expansibility, while deep reinforcement learn作者: scotoma 時(shí)間: 2025-3-23 13:03
Research on Cost Control of Mobile Crowdsourcing Supporting Low Budget in Large Scale Environmental nitoring in urban environment. The emergence of mobile crowdsourcing solves the problems of high deployment cost and fragile instrument, which makes it possible to solve this monitoring problem. However, the massive employment cost because of the huge information scale makes it difficult for mobile 作者: 遺傳學(xué) 時(shí)間: 2025-3-23 15:46 作者: VEST 時(shí)間: 2025-3-23 19:41
Deep Reinforcement Learning-Based Scheduling Algorithm for?Service Differentiation in?Cloud Businessbility. The service differentiation problem for cloud business process management system has not been thoroughly investigated, nevertheless. Service differentiation requires corresponding service quality for different service level agreements. To address this problem, this paper designs a scheduling作者: peritonitis 時(shí)間: 2025-3-23 22:32 作者: endure 時(shí)間: 2025-3-24 03:56 作者: sigmoid-colon 時(shí)間: 2025-3-24 06:32
Task Offloading and Resource Allocation with Privacy Constraints in End-Edge-Cloud Environmentthis architecture, such as massive devices, heterogeneous resources, and complex layers, bring new challenges to privacy protection issues. This paper considers the cooperation among terminal devices, edge nodes, and remote clouds to solve the task scheduling problem with privacy constraints by opti作者: Reservation 時(shí)間: 2025-3-24 14:45 作者: incite 時(shí)間: 2025-3-24 18:00
https://doi.org/10.1007/1-4020-4713-4ledge graphs. To predict the missing links, various models have been proposed by embedding the entities and relations into lower-dimensional spaces. Existing approaches usually ignore the fact that there are much fewer relations than entities and allow redundant parameters for relations. In this pap作者: cuticle 時(shí)間: 2025-3-24 21:24
https://doi.org/10.1007/978-94-011-1735-7ch user independently and do not consider the interrelationship between users. This work is based on the intuition that the dynamic groups of like-minded users exist through the time, and users in the same group might share a similar preference. By considering the impact of latent user groups, we ca作者: textile 時(shí)間: 2025-3-25 00:57 作者: 實(shí)現(xiàn) 時(shí)間: 2025-3-25 03:58
Sjaak Geest,Susan Reynolds Whyte. Complex tasks account for an increasing proportion of task assignment demands, most of the previous researches on complex task assignment have ignored the dependency relationships between tasks, resulting in many invalid matches and wasting worker resources. A complex task can be assigned only aft作者: Generosity 時(shí)間: 2025-3-25 08:21 作者: 確定 時(shí)間: 2025-3-25 14:32 作者: angina-pectoris 時(shí)間: 2025-3-25 17:53 作者: Buttress 時(shí)間: 2025-3-25 20:17 作者: Incumbent 時(shí)間: 2025-3-26 03:57 作者: linear 時(shí)間: 2025-3-26 05:16 作者: RUPT 時(shí)間: 2025-3-26 10:27
https://doi.org/10.1007/978-94-017-3270-3nitoring in urban environment. The emergence of mobile crowdsourcing solves the problems of high deployment cost and fragile instrument, which makes it possible to solve this monitoring problem. However, the massive employment cost because of the huge information scale makes it difficult for mobile 作者: Aprope 時(shí)間: 2025-3-26 14:34 作者: Neutral-Spine 時(shí)間: 2025-3-26 19:36
The Contexts of Diaspora Citizenshipbility. The service differentiation problem for cloud business process management system has not been thoroughly investigated, nevertheless. Service differentiation requires corresponding service quality for different service level agreements. To address this problem, this paper designs a scheduling作者: Laconic 時(shí)間: 2025-3-26 21:39 作者: noxious 時(shí)間: 2025-3-27 03:20
Marko Kananen,Ville-Samuli Haverinensearching algorithms advance, search problems need to be addressed in increasingly complex environments. Such environments could be high-dimensional and highly dynamic. Therefore, novel search algorithms have been designed, combining heuristic methods and intelligent optimization, to tackle search p作者: CAB 時(shí)間: 2025-3-27 09:18
https://doi.org/10.1007/978-3-531-93056-5this architecture, such as massive devices, heterogeneous resources, and complex layers, bring new challenges to privacy protection issues. This paper considers the cooperation among terminal devices, edge nodes, and remote clouds to solve the task scheduling problem with privacy constraints by opti作者: INERT 時(shí)間: 2025-3-27 09:30 作者: 騷擾 時(shí)間: 2025-3-27 14:38 作者: FLAX 時(shí)間: 2025-3-27 19:29
Communications in Computer and Information Sciencehttp://image.papertrans.cn/c/image/233948.jpg作者: liaison 時(shí)間: 2025-3-27 22:51
https://doi.org/10.1007/978-981-99-2385-4human-centered computing; computer supported cooperative work; collaborative and social computing; soci作者: aristocracy 時(shí)間: 2025-3-28 02:38 作者: 苦惱 時(shí)間: 2025-3-28 08:17
https://doi.org/10.1007/1-4020-4713-4 and interpretability. We formally define the relation patterns which are satisfied by MatricEs, including symmetry, antisymmetry, inversion, commutative compositions and non-commutative compositions, absorption and transitivity. Theoretical analysis shows that MatricEs is a valid, simple and univer作者: 偶像 時(shí)間: 2025-3-28 13:44
https://doi.org/10.1007/978-94-011-1735-7o detect which latent groups a user belongs to, followed by an aggregation of these latent group representations. Finally, user preference representations are shaped comprehensively by considering all these four aspects, based on an attention mechanism. Extensive experiments prove our model outperfo作者: FLIRT 時(shí)間: 2025-3-28 16:23
Causal Conception and Causal Connection,iginal embedding, and finally use quaternion multiplication to model triples. The experiment and results on two common benchmark datasets show that CAQuatE can significantly outperform the existing state-of-the-art model in the knowledge graph completion task by obtaining lower dimensional represent作者: 玷污 時(shí)間: 2025-3-28 20:57 作者: 誘使 時(shí)間: 2025-3-29 02:18 作者: 搬運(yùn)工 時(shí)間: 2025-3-29 06:43 作者: 折磨 時(shí)間: 2025-3-29 07:57 作者: 使尷尬 時(shí)間: 2025-3-29 12:54 作者: anagen 時(shí)間: 2025-3-29 17:28
https://doi.org/10.1007/978-94-017-3270-3sk and improves the naive Bayes classifier to identify more reliable participants to reduce the reemployment rate. The model in this paper can recover all the data with a small number of sampling points, thus greatly reducing the task cost. At the same time, it can identify qualified participants wh作者: Heterodoxy 時(shí)間: 2025-3-29 22:20 作者: 樣式 時(shí)間: 2025-3-30 00:16 作者: pulmonary 時(shí)間: 2025-3-30 04:29 作者: gene-therapy 時(shí)間: 2025-3-30 10:40
Marko Kananen,Ville-Samuli Haverinene, whether using the power of the crowd can improve source searching algorithms remains unanswered. To this end, we propose a crowd-powered sourcing search approach, using human rationales as external supports to improve existing search algorithms, and meanwhile to minimize the human effort using ma作者: 四牛在彎曲 時(shí)間: 2025-3-30 14:26
https://doi.org/10.1007/978-3-531-93056-5low-privacy and non-privacy tasks. ANOVA technique is used to verify the performance of the proposed algorithm. The experimental results show that the proposed algorithm is superior to others in terms of the number of devices, the amount of different task data, and the proportion of privacy tasks at作者: 不法行為 時(shí)間: 2025-3-30 18:51 作者: 冰河期 時(shí)間: 2025-3-30 20:56 作者: 確定的事 時(shí)間: 2025-3-31 00:59
MatricEs: Matrices Embeddings for?Link Prediction in?Knowledge Graphs and interpretability. We formally define the relation patterns which are satisfied by MatricEs, including symmetry, antisymmetry, inversion, commutative compositions and non-commutative compositions, absorption and transitivity. Theoretical analysis shows that MatricEs is a valid, simple and univer作者: osculate 時(shí)間: 2025-3-31 05:27
Learning User Embeddings Based on?Long Short-Term User Group Modeling for?Next-Item Recommendationo detect which latent groups a user belongs to, followed by an aggregation of these latent group representations. Finally, user preference representations are shaped comprehensively by considering all these four aspects, based on an attention mechanism. Extensive experiments prove our model outperfo作者: FAZE 時(shí)間: 2025-3-31 12:54
Context-Aware Quaternion Embedding for?Knowledge Graph Completioniginal embedding, and finally use quaternion multiplication to model triples. The experiment and results on two common benchmark datasets show that CAQuatE can significantly outperform the existing state-of-the-art model in the knowledge graph completion task by obtaining lower dimensional represent作者: 拔出 時(shí)間: 2025-3-31 15:05 作者: 不要嚴(yán)酷 時(shí)間: 2025-3-31 21:29
ICKG: An I Ching Knowledge Graph Tool Revealing Ancient Wisdomool (ICKG) is developed to support knowledge graph-based visualization and interactive knowledge mining. It provides users with search and visualization functions for each hexagram and each entity in the I Ching. Moreover, it supports the visualized linking including the connections among entities i
