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2020 – today
- 2024
[j108]Kartik Sharma
, Yeon-Chang Lee, Sivagami Nambi, Aditya Salian, Shlok Shah, Sang-Wook Kim, Srijan Kumar:
A Survey of Graph Neural Networks for Social Recommender Systems. ACM Comput. Surv. 56(10): 265 (2024)- [j107]Yeon-Chang Lee, JaeHyun Lee, Dongwon Lee, Sang-Wook Kim:
Learning to compensate for lack of information: Extracting latent knowledge for effective temporal knowledge graph completion. Inf. Sci. 654: 119857 (2024) - [j106]Youngseung Jeon, Jaehoon Kim, Sohyun Park, Yun-Yong Ko, Seongeun Ryu, Sang-Wook Kim, Kyungsik Han:
HearHere: Mitigating Echo Chambers in News Consumption through an AI-based Web System. Proc. ACM Hum. Comput. Interact. 8(CSCW1): 1-34 (2024) - [c224]Taeri Kim, Jiho Heo, Hongil Kim, Kijung Shin, Sang-Wook Kim:
VITA: 'Carefully Chosen and Weighted Less' Is Better in Medication Recommendation. AAAI 2024: 8600-8607 - [c223]Masoud Reyhani Hamedani, Jin-Su Ryu, Sang-Wook Kim:
Random-Walk-Based or Similarity-Based Methods, Which is Better for Directed Graph Embedding? BigComp 2024: 83-89 - [c222]Yungi Kim, Taeri Kim, Won-Yong Shin, Sang-Wook Kim:
MONET: Modality-Embracing Graph Convolutional Network and Target-Aware Attention for Multimedia Recommendation. WSDM 2024: 332-340 - [c221]Hong-Kyun Bae, Hae-Ri Jang, Yang-Sae Moon, Sang-Wook Kim:
Item-Ranking Promotion in Recommender Systems. WWW (Companion Volume) 2024: 505-508 - [c220]Jeong-Min Park, Myung-Hwan Jang, Duck-Ho Bae, Sang-Wook Kim:
RealGraphGPU++: A High-Performance GPU-Based Graph Engine with Direct Storage-to-DM IO. WWW (Companion Volume) 2024: 654-657 - [c219]Jeewon Ahn, Hong-Kyun Bae, Sang-Wook Kim:
Is the 'Impression Log' Beneficial to Evaluating News Recommender Systems? No, it is Not! WWW (Companion Volume) 2024: 822-825 - [c218]David Y. Kang, Qiaozhu Mei, Sang-Wook Kim:
Low Mileage, High Fidelity: Evaluating Hypergraph Expansion Methods by Quantifying the Information Loss. WWW 2024: 959-968 - [c217]Jeong-Min Park, Myung-Hwan Jang, Sang-Wook Kim:
RealGraphGPUWeb: A Convenient and Efficient GPU-Based Graph Analysis Platform on the Web. WWW (Companion Volume) 2024: 1011-1014 - [c216]Hong-Kyun Bae, Yebeen Kim, Hyunjoon Kim, Sang-Wook Kim:
Negative Sampling in Next-POI Recommendations: Observation, Approach, and Evaluation. WWW 2024: 3888-3899 - [i16]Neng Kai Nigel Neo, Yeon-Chang Lee, Yiqiao Jin, Sang-Wook Kim, Srijan Kumar:
Towards Fair Graph Anomaly Detection: Problem, New Datasets, and Evaluation. CoRR abs/2402.15988 (2024) - [i15]Youngseung Jeon, Jaehoon Kim, Sohyun Park, Yun-Yong Ko, Seongeun Ryu, Sang-Wook Kim, Kyungsik Han:
HearHere: Mitigating Echo Chambers in News Consumption through an AI-based Web System. CoRR abs/2402.18222 (2024) - 2023
- [j105]Jiyeon Kim, Taeri Kim, Sang-Wook Kim:
Read between the interactions: Understanding non-interacted items for accurate multimedia recommendation. Comput. Sci. Inf. Syst. 20(3): 933-948 (2023) - [j104]Deniz Canturk, Pinar Karagoz, Sang-Wook Kim, Ismail Hakki Toroslu:
Trust-aware location recommendation in location-based social networks: A graph-based approach. Expert Syst. Appl. 213(Part): 119048 (2023) - [j103]Yeon-Chang Lee, Sang-Wook Kim:
Uninteresting Items: Concept and Its Application to Effective Collaborative Filtering in Recommender Systems. SIGWEB Newsl. 2023(Autumn): 4:1-4:13 (2023) - [j102]David Y. Kang, Woncheol Lee, Yeon-Chang Lee, Kyungsik Han, Sang-Wook Kim:
A Framework for Accurate Community Detection on Signed Networks Using Adversarial Learning. IEEE Trans. Knowl. Data Eng. 35(11): 10937-10951 (2023) - [c215]Hong-Kyun Bae, Jeewon Ahn, Dongwon Lee, Sang-Wook Kim:
LANCER: A Lifetime-Aware News Recommender System. AAAI 2023: 4141-4148 - [c214]Myung-Hwan Jang, Yun-Yong Ko, Hyuck-Moo Gwon, Ikhyeon Jo, Yongjun Park, Sang-Wook Kim:
SAGE: A Storage-Based Approach for Scalable and Efficient Sparse Generalized Matrix-Matrix Multiplication. CIKM 2023: 923-933 - [c213]Masoud Reyhani Hamedani, Jin-Su Ryu, Sang-Wook Kim:
ELTRA: An Embedding Method based on Learning-to-Rank to Preserve Asymmetric Information in Directed Graphs. CIKM 2023: 2116-2125 - [c212]Taehyeong Park, Seokwon Kang, Myung-Hwan Jang, Sang-Wook Kim, Yongjun Park:
Orchestrating Large-Scale SpGEMMs using Dynamic Block Distribution and Data Transfer Minimization on Heterogeneous Systems. ICDE 2023: 2456-2459 - [c211]Hong-Kyun Bae, Yeon-Chang Lee, Kyungsik Han, Sang-Wook Kim:
A Competition-Aware Approach to Accurate TV Show Recommendation. ICDE 2023: 2822-2834 - [c210]Taeho Kim, Juwon Yu, Won-Yong Shin, Hyunyoung Lee, Ji-Hui Im, Sang-Wook Kim:
LATTE: A Framework for Learning Item-Features to Make a Domain-Expert for Effective Conversational Recommendation. KDD 2023: 1144-1153 - [c209]Min-Jeong Kim, Yeon-Chang Lee, Sang-Wook Kim:
TrustSGCN: Learning Trustworthiness on Edge Signs for Effective Signed Graph Convolutional Networks. SIGIR 2023: 2451-2455 - [c208]Masoud Reyhani Hamedani, Jin-Su Ryu, Sang-Wook Kim:
GELTOR: A Graph Embedding Method based on Listwise Learning to Rank. WWW 2023: 6-16 - [c207]Jiwon Hong, Sang-Wook Kim:
C-Affinity: A Novel Similarity Measure for Effective Data Clustering. WWW (Companion Volume) 2023: 41-44 - [c206]Jeewon Ahn, Hong-Kyun Bae, Sang-Wook Kim:
Is the Impression Log Beneficial to Effective Model Training in News Recommender Systems? No, It's NOT. WWW (Companion Volume) 2023: 61-64 - [c205]Hyunsik Yoo, Yeon-Chang Lee, Kijung Shin, Sang-Wook Kim:
Disentangling Degree-related Biases and Interest for Out-of-Distribution Generalized Directed Network Embedding. WWW 2023: 231-239 - [c204]Myung-Hwan Jang, Jeong-Min Park, Ikhyeon Jo, Duck-Ho Bae, Sang-Wook Kim:
RealGraph+: A High-Performance Single-Machine-Based Graph Engine that Utilizes IO Bandwidth Effectively. WWW (Companion Volume) 2023: 276-279 - [c203]Yun-Yong Ko, Seongeun Ryu, Soeun Han, Youngseung Jeon, Jaehoon Kim, Sohyun Park, Kyungsik Han, Hanghang Tong, Sang-Wook Kim:
KHAN: Knowledge-Aware Hierarchical Attention Networks for Accurate Political Stance Prediction. WWW 2023: 1572-1583 - [i14]Yun-Yong Ko, Seongeun Ryu, Soeun Han, Yeongseung Jeon, Jaehoon Kim, Sohyun Park, Kyungsik Han, Hanghang Tong, Sang-Wook Kim:
KHAN: Knowledge-Aware Hierarchical Attention Networks for Political Stance Prediction. CoRR abs/2302.12126 (2023) - [i13]Myung-Hwan Jang, Yun-Yong Ko, Hyuck-Moo Gwon, Ikhyeon Jo, Yongjun Park, Sang-Wook Kim:
SAGE: A Storage-Based Approach for Scalable and Efficient Sparse Generalized Matrix-Matrix Multiplication. CoRR abs/2308.13626 (2023) - [i12]Min-Jeong Kim, Yeon-Chang Lee, David Y. Kang, Sang-Wook Kim:
Trustworthiness-Driven Graph Convolutional Networks for Signed Network Embedding. CoRR abs/2309.00816 (2023) - [i11]Yun-Yong Ko, Hanghang Tong, Sang-Wook Kim:
Enhancing Hyperedge Prediction with Context-Aware Self-Supervised Learning. CoRR abs/2309.05798 (2023) - [i10]Yun-Yong Ko, Seongeun Ryu, Sang-Wook Kim:
CIDER: Category-Guided Intent Disentanglement for Accurate Personalized News Recommendation. CoRR abs/2310.09401 (2023) - [i9]Yungi Kim, Taeri Kim, Won-Yong Shin, Sang-Wook Kim:
MONET: Modality-Embracing Graph Convolutional Network and Target-Aware Attention for Multimedia Recommendation. CoRR abs/2312.09511 (2023) - [i8]Taeri Kim, Jiho Heo, Hongil Kim, Kijung Shin, Sang-Wook Kim:
VITA: 'Carefully Chosen and Weighted Less' Is Better in Medication Recommendation. CoRR abs/2312.12100 (2023) - 2022
- [j101]Junha Park, Yeon-Chang Lee, Sang-Wook Kim:
Effective and efficient negative sampling in metric learning based recommendation. Inf. Sci. 605: 351-365 (2022) - [j100]Yoonsuk Kang, Jun Seok Lee, Won-Yong Shin, Sang-Wook Kim:
Community reinforcement: An effective and efficient preprocessing method for accurate community detection. Knowl. Based Syst. 237: 107741 (2022) - [j99]Yong-Yeon Jo, Myung-Hwan Jang, Sang-Wook Kim, Sunju Park:
A Data Layout With Good Data Locality for Single-Machine Based Graph Engines. IEEE Trans. Computers 71(8): 1784-1793 (2022) - [c202]Dong-Kyu Chae, Jung Ah Shin, Sang-Wook Kim:
Adaptive Autoencoders Exploiting Content Preference for Accurate Recommendation. BigComp 2022: 292-295 - [c201]Taeri Kim, Noseong Park, Jiwon Hong, Sang-Wook Kim:
Phishing URL Detection: A Network-based Approach Robust to Evasion. CCS 2022: 1769-1782 - [c200]Taeri Kim, Yeon-Chang Lee, Kijung Shin, Sang-Wook Kim:
MARIO: Modality-Aware Attention and Modality-Preserving Decoders for Multimedia Recommendation. CIKM 2022: 993-1002 - [c199]Myung-Hwan Jang, Yun-Yong Ko, Dongkyu Jeong, Jeong-Min Park, Sang-Wook Kim:
RealGraphGPU: A High-Performance GPU-Based Graph Engine toward Large-Scale Real-World Network Analysis. CIKM 2022: 4074-4078 - [c198]Namhyuk Kim, Dong-Kyu Chae, Jung Ah Shin, Sang-Wook Kim, Duen Horng Chau, Sunghwan Park:
Context-aware Traffic Flow Forecasting in New Roads. CIKM 2022: 4133-4137 - [c197]Taeho Kim, Yungi Kim, Yeon-Chang Lee, Won-Yong Shin, Sang-Wook Kim:
Is It Enough Just Looking at the Title?: Leveraging Body Text To Enrich Title Words Towards Accurate News Recommendation. CIKM 2022: 4138-4142 - [c196]Junho Song, Jiwon Son, Dong-hyuk Seo, Kyungsik Han, Namhyuk Kim, Sang-Wook Kim:
ST-GAT: A Spatio-Temporal Graph Attention Network for Accurate Traffic Speed Prediction. CIKM 2022: 4500-4504 - [c195]Namhyuk Kim, Junho Song, Siyoung Lee, Jaewon Choe, Kyungsik Han, Sunghwan Park, Sang-Wook Kim:
APOTS: A Model for Adversarial Prediction of Traffic Speed. ICDE 2022: 3353-3359 - [c194]Hongjun Lim, Yeon-Chang Lee, Jin-Seo Lee, Sanggyu Han, Seunghyeon Kim, Yeon Jeong Jeong, Changbong Kim, Jaehun Kim, Sunghoon Han, Solbi Choi, Hanjong Ko, Dokyeong Lee, Jaeho Choi, Yungi Kim, Hong-Kyun Bae, Taeho Kim, Jeewon Ahn, Hyun-Soung You, Sang-Wook Kim:
AiRS: A Large-Scale Recommender System at NAVER News. ICDE 2022: 3386-3398 - [c193]Yeon-Chang Lee, JaeHyun Lee, Dongwon Lee, Sang-Wook Kim:
THOR: Self-Supervised Temporal Knowledge Graph Embedding via Three-Tower Graph Convolutional Networks. ICDM 2022: 1035-1040 - [c192]Soeun Han, Yun-Yong Ko, Yushim Kim, Seong Soo Oh, Heejin Park, Sang-Wook Kim:
D-FEND: a diffusion-based fake news detection framework for news articles related to COVID-19. SAC 2022: 1771-1778 - [c191]Taeyong Kong, Taeri Kim, Jinsung Jeon, Jeongwhan Choi, Yeon-Chang Lee, Noseong Park, Sang-Wook Kim:
Linear, or Non-Linear, That is the Question! WSDM 2022: 517-525 - [c190]Sung-Jun Park, Dong-Kyu Chae, Hong-Kyun Bae, Sumin Park, Sang-Wook Kim:
Reinforcement Learning over Sentiment-Augmented Knowledge Graphs towards Accurate and Explainable Recommendation. WSDM 2022: 784-793 - [c189]Hyunsik Yoo, Yeon-Chang Lee, Kijung Shin, Sang-Wook Kim:
Directed Network Embedding with Virtual Negative Edges. WSDM 2022: 1291-1299 - [c188]Jiwon Hong, Dong-hyuk Seo, Jeewon Ahn, Sang-Wook Kim:
GraphReformCD: Graph Reformulation for Effective Community Detection in Real-World Graphs. WWW (Companion Volume) 2022: 180-183 - [c187]Yun-Yong Ko, Dongwon Lee, Sang-Wook Kim:
Not All Layers Are Equal: A Layer-Wise Adaptive Approach Toward Large-Scale DNN Training. WWW 2022: 1851-1859 - [c186]Junho Song, Kyungsik Han, Sang-Wook Kim:
"I Have No Text in My Post": Using Visual Hints to Model User Emotions in Social Media. WWW 2022: 2888-2896 - [i7]Taeri Kim, Noseong Park, Jiwon Hong, Sang-Wook Kim:
Phishing URL Detection: A Network-based Approach Robust to Evasion. CoRR abs/2209.01454 (2022) - [i6]Kartik Sharma, Yeon-Chang Lee, Sivagami Nambi, Aditya Salian, Shlok Shah, Sang-Wook Kim, Srijan Kumar:
A Survey of Graph Neural Networks for Social Recommender Systems. CoRR abs/2212.04481 (2022) - 2021
- [j98]Masoud Reyhani Hamedani, Sang-Wook Kim:
JacSim*: An Effective and Efficient Solution to the Pairwise Normalization Problem in SimRank. IEEE Access 9: 146038-146049 (2021) - [j97]Masoud Reyhani Hamedani, Irfan Ali, Jiwon Hong, Sang-Wook Kim:
TrustRec: An effective approach to exploit implicit trust and distrust relationships along with explicitones for accurate recommendations. Comput. Sci. Inf. Syst. 18(1): 93-114 (2021) - [j96]Masoud Hamedani, Sang-Wook Kim:
SimAndro-plus: On computing similarity of android applications. Comput. Sci. Inf. Syst. 18(4): 1219-1238 (2021) - [j95]Yeon-Chang Lee, Taeho Kim, Jaeho Choi, Xiangnan He, Sang-Wook Kim:
M-BPR: A novel approach to improving BPR for recommendation with multi-type pair-wise preferences. Inf. Sci. 547: 255-270 (2021) - [j94]Hong-Kyun Bae, Hyung-Ook Kim, Won-Yong Shin, Sang-Wook Kim:
"How to get consensus with neighbors?": Rating standardization for accurate collaborative filtering. Knowl. Based Syst. 234: 107549 (2021) - [j93]Myung-Hwan Jang, Yong-Yeon Jo, Sang-Wook Kim:
RealGraph-Web: A Graph Analysis Platform on the Web. Proc. VLDB Endow. 14(12): 2775-2778 (2021) - [j92]Yoonsuk Kang, Yong-Yeon Jo, Jaehyuk Cha, Wan D. Bae, Wonjun Lee, Sang-Wook Kim:
${\sf FORESEE}$FORESEE: An Effective and Efficient Framework for Estimating the Execution Times of IO Traces on the SSD. IEEE Trans. Computers 70(12): 2146-2160 (2021) - [j91]Yeon-Chang Lee, Jiwon Son, Taeho Kim, Daeyoung Park, Sang-Wook Kim:
Exploiting uninteresting items for effective graph-based one-class collaborative filtering. J. Supercomput. 77(7): 6832-6851 (2021) - [c185]Eujeanne Kim, Sung-Jun Park, Seokwoo Choi, Dong-Kyu Chae, Sang-Wook Kim:
MANIAC: A Man-Machine Collaborative System for Classifying Malware Author Groups. CCS 2021: 2441-2443 - [c184]Yun-Yong Ko, Kibong Choi, Hyunseung Jei, Dongwon Lee, Sang-Wook Kim:
ALADDIN: Asymmetric Centralized Training for Distributed Deep Learning. CIKM 2021: 863-872 - [c183]Masoud Reyhani Hamedani, Sang-Wook Kim:
AdaSim: A Recursive Similarity Measure in Graphs. CIKM 2021: 1528-1537 - [c182]Yun-Yong Ko, Jae-Seo Yu, Hong-Kyun Bae, Yongjun Park, Dongwon Lee, Sang-Wook Kim:
MASCOT: A Quantization Framework for Efficient Matrix Factorization in Recommender Systems. ICDM 2021: 290-299 - [c181]Yoonsuk Kang, Woncheol Lee, Yeon-Chang Lee, Kyungsik Han, Sang-Wook Kim:
Adversarial Learning of Balanced Triangles for Accurate Community Detection on Signed Networks. ICDM 2021: 1150-1155 - [c180]Masoud Reyhani Hamedani, Sang-Wook Kim:
Embedding Methods or Link-based Similarity Measures, Which is Better for Link Prediction? IC-NIDC 2021: 378-382 - [c179]Yun-Yong Ko, Kibong Choi, Jiwon Seo, Sang-Wook Kim:
An In-Depth Analysis of Distributed Training of Deep Neural Networks. IPDPS 2021: 994-1003 - [c178]Hyun-Soung You, Ji-Hong Kim, Won-Yong Shin, Sang-Wook Kim:
Location-Aware Caching via Predicting Heterogeneous File Preferences in Mobile Networks. PerCom Workshops 2021: 336-339 - [c177]Wonchang Lee, Yeon-Chang Lee, Dongwon Lee, Sang-Wook Kim:
Look Before You Leap: Confirming Edge Signs in Random Walk with Restart for Personalized Node Ranking in Signed Networks. SIGIR 2021: 143-152 - [i5]Taeyong Kong, Taeri Kim, Jinsung Jeon, Jeongwhan Choi, Yeon-Chang Lee, Noseong Park, Sang-Wook Kim:
Linear, or Non-Linear, That is the Question! CoRR abs/2111.07265 (2021) - 2020
- [j90]Hyun-Kyo Oh, Jongbin Jung, Sunju Park, Sang-Wook Kim:
A robust reputation system using online reviews? Comput. Sci. Inf. Syst. 17(2): 487-507 (2020) - [j89]Dong-Kyu Chae, Bo-Kyum Kim, Seung Ho Kim, Sang-Wook Kim:
Incremental feature selection for efficient classification of dynamic graph bags. Concurr. Comput. Pract. Exp. 32(18) (2020) - [j88]Duck-Ho Bae, Seo Jeong, Jiwon Hong, Minsoo Lee, Mirjana Ivanovic, Milos Savic, Sang-Wook Kim:
An Effective Approach to Outlier Detection Based on Centrality and Centre-Proximity. Informatica 31(3): 435-458 (2020) - [j87]Yong-Yeon Jo, Myung-Hwan Jang, Sang-Wook Kim, Kyungsik Han:
Efficient processing of recommendation algorithms on a single-machine-based graph engine. J. Supercomput. 76(10): 7985-8002 (2020) - [c176]Yeon-Chang Lee, Daeyoung Park, Jiwon Son, Taeho Kim, Sang-Wook Kim:
Graph-Theoretic One-Class Collaborative Filtering using Signed Random Walk with Restart. BigComp 2020: 98-101 - [c175]Yoonsuk Kang, Jun Seok Lee, Won-Yong Shin, Sang-Wook Kim:
CR-Graph: Community Reinforcement for Accurate Community Detection. CIKM 2020: 2077-2080 - [c174]Yeon-Chang Lee, Nayoun Seo, Sang-Wook Kim:
Are Negative Links Really Beneficial to Network Embedding?: In-Depth Analysis and Interesting Results. CIKM 2020: 2113-2116 - [c173]Junho Song, Hyekyoung Park, Kyungsik Han, Sang-Wook Kim:
Do You Really Like Her Post?: Network-Based Analysis for Understanding Like Activities in SNS. CIKM 2020: 2221-2224 - [c172]Eujeanne Kim, Sung-Jun Park, Dong-Kyu Chae, Seokwoo Choi, Sang-Wook Kim:
A Human-in-the-Loop Approach to Malware Author Classification. CIKM 2020: 3289-3292 - [c171]Dong-Kyu Chae, Jin-Soo Kang, Sang-Wook Kim:
Zero-Injection Meets Deep Learning: Boosting the Accuracy of Collaborative Filtering in Top-N Recommendation. DASFAA (3) 2020: 607-620 - [c170]Jeongmyung Lee, Seokwon Kang, Yongseung Yu, Yong-Yeon Jo, Sang-Wook Kim, Yongjun Park:
Optimization of GPU-based Sparse Matrix Multiplication for Large Sparse Networks. ICDE 2020: 925-936 - [c169]Junho Song, Kyungsik Han, Dongwon Lee, Sang-Wook Kim:
Understanding emotions in SNS images from posters' perspectives. SAC 2020: 450-457 - [c168]Yeon-Chang Lee, Nayoun Seo, Kyungsik Han, Sang-Wook Kim:
ASiNE: Adversarial Signed Network Embedding. SIGIR 2020: 609-618 - [c167]Dong-Kyu Chae, Jihoo Kim, Duen Horng Chau, Sang-Wook Kim:
AR-CF: Augmenting Virtual Users and Items in Collaborative Filtering for Addressing Cold-Start Problems. SIGIR 2020: 1251-1260 - [p1]Jiwon Hong, Taeri Kim, Jing Liu, Noseong Park, Sang-Wook Kim:
Phishing URL Detection with Lexical Features and Blacklisted Domains. Adaptive Autonomous Secure Cyber Systems 2020: 253-267
2010 – 2019
- 2019
- [j86]Dong-Kyu Chae, Jung Ah Shin, Sang-Wook Kim:
Collaborative Adversarial Autoencoders: An Effective Collaborative Filtering Model Under the GAN Framework. IEEE Access 7: 37650-37663 (2019) - [j85]Cong Tran, Jang-Young Kim, Won-Yong Shin, Sang-Wook Kim:
Clustering-Based Collaborative Filtering Using an Incentivized/Penalized User Model. IEEE Access 7: 62115-62125 (2019) - [j84]Hyun-Kyo Oh, Jin-Woo Kim, Sang-Wook Kim, Kichun Lee:
A unified framework of trust prediction based on message passing. Clust. Comput. 22(Suppl 1): 2049-2061 (2019) - [j83]Sang-Chul Lee, Sang-Wook Kim, Sunju Park, Dong-Kyu Chae:
A tripartite-graph based recommendation framework for price-comparison services. Comput. Sci. Inf. Syst. 16(2): 333-357 (2019) - [j82]Min-Hee Jang, Sang-Wook Kim, Woong-Kee Loh, Jung-Im Won:
On approximate k-nearest neighbor searches based on the earth mover's distance for efficient content-based multimedia information retrieval. Comput. Sci. Inf. Syst. 16(2): 615-638 (2019) - [j81]Dong-Gyun Hong, Yeon-Chang Lee, Jongwuk Lee, Sang-Wook Kim:
CrowdStart: Warming up cold-start items using crowdsourcing. Expert Syst. Appl. 138 (2019) - [j80]Keon Myung Lee, Jaesoo Yoo, Sang-Wook Kim, Jee-Hyong Lee, Jiman Hong:
Autonomic machine learning platform. Int. J. Inf. Manag. 49: 491-501 (2019) - [j79]Dong-Kyu Chae, Sang-Wook Kim, Jung-Tae Lee:
Autoencoder-based personalized ranking framework unifying explicit and implicit feedback for accurate top-N recommendation. Knowl. Based Syst. 176: 110-121 (2019) - [j78]Jangwan Koo, Dong-Kyu Chae, Dong-Jin Kim, Sang-Wook Kim:
Incremental C-Rank: An effective and efficient ranking algorithm for dynamic Web environments. Knowl. Based Syst. 176: 147-158 (2019) - [j77]Jongwuk Lee, Won-Seok Hwang, Juan Parc, Youngnam Lee, Sang-Wook Kim, Dongwon Lee:
l-Injection: Toward Effective Collaborative Filtering Using Uninteresting Items. IEEE Trans. Knowl. Data Eng. 31(1): 3-16 (2019) - [c166]Yushim Kim, Jihong Kim, Seong Soo Oh, Sang-Wook Kim, Minyoung Ku:
Subgroup Analysis of an Epidemic Response Network of Organizations: 2015 MERS Outbreak in Korea. DG.O 2019: 177-185 - [c165]Kyung-Jae Cho, Yeon-Chang Lee, Kyungsik Han, Jaeho Choi, Sang-Wook Kim:
No, That's Not My Feedback: TV Show Recommendation Using Watchable Interval. ICDE 2019: 316-327 - [c164]Jiwon Hong, Sung-Jun Park, Taeri Kim, Yung-Kyun Noh, Sang-Wook Kim, Dongphil Kim, Wonho Kim:
Malware classification for identifying author groups: a graph-based approach. RACS 2019: 169-174 - [c163]Masoud Reyhani Hamedani, Sang-Wook Kim:
Pairwise normalization in SimRank variants: problem, solution, and evaluation. SAC 2019: 534-541 - [c162]Suk-Jin Hong, Yun-Yong Ko, Moon Jeung Joe, Sang-Wook Kim:
Influence maximization for effective advertisement in social networks: problem, solution, and evaluation. SAC 2019: 1314-1321 - [c161]Yong-Yeon Jo, Myung-Hwan Jang, Sang-Wook Kim, Sunju Park:
RealGraph: A Graph Engine Leveraging the Power-Law Distribution of Real-World Graphs. WWW 2019: 807-817 - [c160]Dong-Kyu Chae, Jin-Soo Kang, Sang-Wook Kim, Jaeho Choi:
Rating Augmentation with Generative Adversarial Networks towards Accurate Collaborative Filtering. WWW 2019: 2616-2622 - [i4]Cong Tran, Jang-Young Kim, Won-Yong Shin, Sang-Wook Kim:
Clustering-Based Collaborative Filtering Using an Incentivized/Penalized User Model. CoRR abs/1905.01990 (2019) - [i3]Youngnam Lee, Youngduck Choi, Junghyun Cho, Alexander R. Fabbri, Hyunbin Loh, Chanyou Hwang, Yongku Lee, Sang-Wook Kim, Dragomir R. Radev:
Creating A Neural Pedagogical Agent by Jointly Learning to Review and Assess. CoRR abs/1906.10910 (2019) - 2018
- [j76]Won-Seok Hwang, Shaoyu Li, Sang-Wook Kim, Kichun Lee:
Data imputation using a trust network for recommendation via matrix factorization. Comput. Sci. Inf. Syst. 15(2): 347-368 (2018) - [j75]Jiwon Hong, Sanghyun Park, Sang-Wook Kim, Dongphil Kim, Wonho Kim:
Classifying malwares for identification of author groups. Concurr. Comput. Pract. Exp. 30(3) (2018) - [j74]Sang-Chul Lee, Sang-Wook Kim, Sunju Park, Dong-Kyu Chae:
An Approach to Effective Recommendation Considering User Preference and Diversity Simultaneously. IEICE Trans. Inf. Syst. 101-D(1): 244-248 (2018) - [j73]