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APWeb/WAIM 2018: Macau, China
- Yi Cai, Yoshiharu Ishikawa, Jianliang Xu:
Web and Big Data - Second International Joint Conference, APWeb-WAIM 2018, Macau, China, July 23-25, 2018, Proceedings, Part I. Lecture Notes in Computer Science 10987, Springer 2018, ISBN 978-3-319-96889-6
Text Analysis
- Yangbin Chen
, Yun Ma
Abstractive Summarization with the Aid of Extractive Summarization. 3-15 - Zhen Zhang, Ruixuan Li, Yuhua Li, Xiwu Gu:
Rank-Integrated Topic Modeling: A General Framework. 16-31 - Gang Chen, Yue Peng, Chongjun Wang:
Multi-label Classification via Label-Topic Pairs. 32-44 - Ming Liu, Bo Lang, Zepeng Gu:
Similarity Calculations of Academic Articles Using Topic Events and Domain Knowledge. 45-53 - Zenan Xu, Yetao Fu, Xingming Chen, Yanghui Rao, Haoran Xie
Sentiment Classification via Supplementary Information Modeling. 54-62 - Xuewen Shi
Training Set Similarity Based Parameter Selection for Statistical Machine Translation. 63-71
Social Networks
- Ming Liu, Yang Chen, Bo Lang, Li Zhang, Hongting Niu:
Identifying Scholarly Communities from Unstructured Texts. 75-89 - Jianjun Cheng, Longjie Li, Haijuan Yang, Qi Li, Xiaoyun Chen:
A Hybrid Spectral Method for Network Community Detection. 90-104 - Jian Xu, Xiaoyi Fu, Liming Tu, Ming Luo, Ming Xu, Ning Zheng:
Personalized Top-n Influential Community Search over Large Social Networks. 105-120 - Menghao Zhang, Binbin Hu, Chuan Shi, Bin Wu, Bai Wang:
Matrix Factorization Meets Social Network Embedding for Rating Prediction. 121-129 - Zhijian Zhang, Ling Liu, Kun Yue, Weiyi Liu:
An Estimation Framework of Node Contribution Based on Diffusion Information. 130-137 - Guowang Du, Lihua Zhou, Lizhen Wang, Hongmei Chen:
Multivariate Time Series Clustering via Multi-relational Community Detection in Networks. 138-145
Recommender Systems
- Cairong Yan, Yan Huang, Qinglong Zhang, Yan Wan:
NSPD: An N-stage Purchase Decision Model for E-commerce Recommendation. 149-164 - Chuanyan Zhang, Xiaoguang Hong, Zhaohui Peng:
Social Image Recommendation Based on Path Relevance. 165-180 - Xiaotian Han, Chuan Shi, Lei Zheng, Philip S. Yu, Jianxin Li
Representation Learning with Depth and Breadth for Recommendation Using Multi-view Data. 181-188 - Feifei Li, Hongyan Liu, Jun He, Xiaoyong Du:
Attentive and Collaborative Deep Learning for Recommendation. 189-197 - Hongzhi Liu
Collaborative Probability Metric Learning. 198-206 - Zhenhua Huang, Chang Yu, Jiujun Cheng, Zhixiao Wang:
UIContextListRank: A Listwise Recommendation Model with Social Contextual Information. 207-215
Information Retrieval
- Mohammad Hossein Namaki, Yinghui Wu, Xin Zhang:
Diversified Keyword Expansion on Multi-labeled Graphs. 219-235 - Xin Ding, Yuanliang Zhang, Lu Chen
Distributed k-Nearest Neighbor Queries in Metric Spaces. 236-252 - Yan Fan, Xinyu Liu, Shuni Gao, Zhaohua Zhang, Xiaoguang Liu, Gang Wang:
Efficient Grammar Generation for Inverted Indexes. 253-267 - Yang Song, Yu Gu, Ge Yu:
LIDH: An Efficient Filtering Method for Approximate k Nearest Neighbor Queries Based on Local Intrinsic Dimension. 268-276 - Zhongmin Zhang, Jiawei Chen, Shengli Wu:
Query Performance Prediction and Classification for Information Search Systems. 277-285 - Anzhen Zhang, Jinbao Wang, Jianzhong Li, Hong Gao:
Aggregate Query Processing on Incomplete Data. 286-294
Machine Learning
- Wenjing Wei, Xiaoyi Jia, Yang Liu, Xiaohui Yu
Travel Time Forecasting with Combination of Spatial-Temporal and Time Shifting Correlation in CNN-LSTM Neural Network. 297-311 - Yi Zhao, Yong Huang, Yanyan Shen:
DMDP^2 D M D P 2 : A Dynamic Multi-source Based Default Probability Prediction Framework. 312-326 - Linlin Gao, Haiwei Pan, Fujun Liu, Xiaoqin Xie, Zhiqiang Zhang, Jinming Han:
Brain Disease Diagnosis Using Deep Learning Features from Longitudinal MR Images. 327-339 - Bofang Li, Tao Liu, Zhe Zhao, Xiaoyong Du:
Attention-Based Recurrent Neural Network for Sequence Labeling. 340-348 - Fan Feng, Jikai Wu, Wei Sun, Yushuang Wu, Huakang Li, Xingguo Chen:
Haze Forecasting via Deep LSTM. 349-356 - Zherong Zhang, Wenge Rong, Yuanxin Ouyang, Zhang Xiong:
Importance-Weighted Distance Aware Stocks Trend Prediction. 357-365
Knowledge Graph
- Jianhui Ding, Shiheng Ma, Weijia Jia
Jointly Modeling Structural and Textual Representation for Knowledge Graph Completion in Zero-Shot Scenario. 369-384 - Yongjian You, Shaohua Zhang, Jiong Lou, Xinsong Zhang, Weijia Jia
Neural Typing Entities in Chinese-Pedia. 385-399 - Zichao Huang, Bo Li, Jian Yin:
Knowledge Graph Embedding by Learning to Connect Entity with Relation. 400-414 - Qiang Xu, Xin Wang, Jianxin Li
StarMR: An Efficient Star-Decomposition Based Query Processor for SPARQL Basic Graph Patterns Using MapReduce. 415-430 - Yongxin Shen, Zhixu Li, Wenling Zhang, An Liu, Xiaofang Zhou
DAVE: Extracting Domain Attributes and Values from Text Corpus. 431-439 - Guozheng Rao
PRSPR: An Adaptive Framework for Massive RDF Stream Reasoning. 440-448
Demo Papers
- Peizhong Yang
TSRS: Trip Service Recommended System Based on Summarized Co-location Patterns. 451-455 - Yuan Fang, Lizhen Wang, Teng Hu, Xiaoxuan Wang:
DFCPM: A Dominant Feature Co-location Pattern Miner. 456-460 - Zichen Wang, Tian Li, Yingxia Shao, Bin Cui
CUTE: Querying Knowledge Graphs by Tabular Examples. 461-465 - Xiaoli Wang, Chuchu Gao, Jiangjiang Cao, Kunhui Lin, Wenyuan Du, Zixiang Yang:
ALTAS: An Intelligent Text Analysis System Based on Knowledge Graphs. 466-470 - Chaozhou Yang, Xin Wang, Qiang Xu, Weixi Li:
SPARQLVis: An Interactive Visualization Tool for Knowledge Graphs. 471-474 - Yajie Zhu, Feng Xiong, Qing Xie, Lin Li, Yongjian Liu:
PBR: A Personalized Book Resource Recommendation System. 475-479
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