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2020 – today
- 2023
[j43]Hanbit Lee, Sang-Goo Lee, Jaehui Park, Junho Shim:
Improving Complex Scene Generation by Enhancing Multi-Scale Representations of GAN Discriminators. IEEE Access 11: 43067-43079 (2023)- [j42]Yub Je
, Minseop Sim, Yohan Cho, Sang-Goo Lee, Hee-Seon Seo:
Theoretical and Experimental Studies on Sensitivity and Bandwidth of Thickness-Mode Driving Hydrophone Utilizing A 2-2 Piezoelectric Single Crystal Composite. Sensors 23(7): 3445 (2023) - [c124]Hanbit Lee, Youna Kim, Sang-Goo Lee:
Multi-scale Contrastive Learning for Complex Scene Generation. WACV 2023: 764-774 - [i28]Hyunsoo Cho, Choonghyun Park, Junyeop Kim, Hyuhng Joon Kim, Kang Min Yoo, Sang-goo Lee:
Probing Out-of-Distribution Robustness of Language Models with Parameter-Efficient Transfer Learning. CoRR abs/2301.11660 (2023) - 2022
- [j41]Yeonchan Ahn, Sang-Goo Lee, Junho Shim, Jaehui Park:
Retrieval-Augmented Response Generation for Knowledge-Grounded Conversation in the Wild. IEEE Access 10: 131374-131385 (2022) - [c123]Hyunsoo Cho, Choonghyun Park, Jaewook Kang, Kang Min Yoo, Taeuk Kim, Sang-goo Lee:
Enhancing Out-of-Distribution Detection in Natural Language Understanding via Implicit Layer Ensemble. EMNLP (Findings) 2022: 783-798 - [c122]Kang Min Yoo, Junyeob Kim, Hyuhng Joon Kim, Hyunsoo Cho, Hwiyeol Jo, Sang-Woo Lee, Sang-goo Lee, Taeuk Kim:
Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations. EMNLP 2022: 2422-2437 - [c121]Jinseok Jamie Seol, Youngrok Ko, Sang-goo Lee:
Exploiting Session Information in BERT-based Session-aware Sequential Recommendation. SIGIR 2022: 2639-2644 - [i27]Jinseok Seol, Seongjae Kim, Sungchan Park, Holim Lim, Hyunsoo Na, Eunyoung Park, Dohee Jung, Soyoung Park, Kangwoo Lee, Sang-goo Lee:
Technologies for AI-Driven Fashion Social Networking Service with E-Commerce. CoRR abs/2203.10996 (2022) - [i26]Jinseok Seol, Youngrok Ko, Sang-goo Lee:
Exploiting Session Information in BERT-based Session-aware Sequential Recommendation. CoRR abs/2204.10851 (2022) - [i25]Junyeob Kim, Hyuhng Joon Kim, Hyunsoo Cho, Hwiyeol Jo, Sang-Woo Lee, Sang-goo Lee, Kang Min Yoo, Taeuk Kim:
Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations. CoRR abs/2205.12685 (2022) - [i24]Hyuhng Joon Kim, Hyunsoo Cho, Junyeob Kim, Taeuk Kim, Kang Min Yoo, Sang-goo Lee:
Self-Generated In-Context Learning: Leveraging Auto-regressive Language Models as a Demonstration Generator. CoRR abs/2206.08082 (2022) - [i23]Hyunsoo Cho, Choonghyun Park, Jaewook Kang, Kang Min Yoo, Taeuk Kim, Sang-goo Lee:
Enhancing Out-of-Distribution Detection in Natural Language Understanding via Implicit Layer Ensemble. CoRR abs/2210.11034 (2022) - [i22]Hyunsoo Cho, Hyuhng Joon Kim, Junyeob Kim, Sang-Woo Lee, Sang-goo Lee, Kang Min Yoo, Taeuk Kim:
Prompt-Augmented Linear Probing: Scaling Beyond The Limit of Few-shot In-Context Learners. CoRR abs/2212.10873 (2022) - 2021
- [j40]Richeng Xuan, Junho Shim, Sang-Goo Lee:
Deep Semantic Hashing Using Pairwise Labels. IEEE Access 9: 91934-91949 (2021) - [c120]Taeuk Kim, Kang Min Yoo, Sang-goo Lee:
Self-Guided Contrastive Learning for BERT Sentence Representations. ACL/IJCNLP (1) 2021: 2528-2540 - [c119]Taeuk Kim, Bowen Li, Sang-goo Lee:
Multilingual Chart-based Constituency Parse Extraction from Pre-trained Language Models. EMNLP (Findings) 2021: 454-463 - [c118]Hyunsoo Cho, Jinseok Seol, Sang-goo Lee:
Masked Contrastive Learning for Anomaly Detection. IJCAI 2021: 1434-1441 - [i21]Hanbit Lee, Jinseok Seol, Sang-goo Lee:
Contrastive Learning for Unsupervised Image-to-Image Translation. CoRR abs/2105.03117 (2021) - [i20]Hyunsoo Cho, Jinseok Seol, Sang-goo Lee:
Masked Contrastive Learning for Anomaly Detection. CoRR abs/2105.08793 (2021) - [i19]Taeuk Kim, Kang Min Yoo, Sang-goo Lee:
Self-Guided Contrastive Learning for BERT Sentence Representations. CoRR abs/2106.07345 (2021) - [i18]Seongjae Kim, Jinseok Seol, Holim Lim, Sang-goo Lee:
False Negative Distillation and Contrastive Learning for Personalized Outfit Recommendation. CoRR abs/2110.06483 (2021) - 2020
- [j39]Seong-Jin Yun, Seung Soo Kwak, Jiseong Lee, Yun Chan Im, Sang-Goo Lee, Yong Sin Kim:
Asymmetric SECE Piezoelectric Energy Harvester Under Weak Excitation. IEEE Access 8: 99132-99140 (2020) - [j38]Yeonchan Ahn, Sang-Goo Lee, Jaehui Park:
Exploiting Text Matching Techniques for Knowledge-Grounded Conversation. IEEE Access 8: 126201-126214 (2020) - [j37]Youhyun Shin, Sang-goo Lee:
Learning Context Using Segment-Level LSTM for Neural Sequence Labeling. IEEE ACM Trans. Audio Speech Lang. Process. 28: 105-115 (2020) - [c117]Kang Min Yoo, Hanbit Lee, Franck Dernoncourt, Trung Bui, Walter Chang, Sang-goo Lee:
Variational Hierarchical Dialog Autoencoder for Dialog State Tracking Data Augmentation. EMNLP (1) 2020: 3406-3425 - [c116]Taeuk Kim, Jihun Choi, Daniel Edmiston, Sang-goo Lee:
Are Pre-trained Language Models Aware of Phrases? Simple but Strong Baselines for Grammar Induction. ICLR 2020 - [c115]Jaeyoul Shin, Taeuk Kim, Sang-goo Lee:
IDS at SemEval-2020 Task 10: Does Pre-trained Language Model Know What to Emphasize? SemEval@COLING 2020: 1371-1376 - [i17]Kang Min Yoo, Hanbit Lee, Franck Dernoncourt, Trung Bui, Walter Chang, Sang-goo Lee:
Variational Hierarchical Dialog Autoencoder for Dialogue State Tracking Data Augmentation. CoRR abs/2001.08604 (2020) - [i16]Taeuk Kim, Jihun Choi, Daniel Edmiston, Sang-goo Lee:
Are Pre-trained Language Models Aware of Phrases? Simple but Strong Baselines for Grammar Induction. CoRR abs/2002.00737 (2020) - [i15]Taeuk Kim, Sang-goo Lee:
Multilingual Zero-shot Constituency Parsing. CoRR abs/2004.13805 (2020) - [i14]Jaeyoul Shin, Taeuk Kim, Sang-goo Lee:
IDS at SemEval-2020 Task 10: Does Pre-trained Language Model Know What to Emphasize? CoRR abs/2007.12390 (2020) - [i13]Wonseok Lee, Hanbit Lee, Sang-goo Lee:
Semantics-Preserving Adversarial Training. CoRR abs/2009.10978 (2020)
2010 – 2019
- 2019
- [j36]Sungchan Park, Wonseok Lee, Byeongseo Choe, Sang-Goo Lee:
A Survey on Personalized PageRank Computation Algorithms. IEEE Access 7: 163049-163062 (2019) - [j35]Youhyun Shin, Kang Min Yoo, Sang-goo Lee:
Utterance Generation With Variational Auto-Encoder for Slot Filling in Spoken Language Understanding. IEEE Signal Process. Lett. 26(3): 505-509 (2019) - [c114]Taeuk Kim, Jihun Choi, Daniel Edmiston, Sanghwan Bae, Sang-goo Lee:
Dynamic Compositionality in Recursive Neural Networks with Structure-Aware Tag Representations. AAAI 2019: 6594-6601 - [c113]Kang Min Yoo, Youhyun Shin, Sang-goo Lee:
Data Augmentation for Spoken Language Understanding via Joint Variational Generation. AAAI 2019: 7402-7409 - [c112]Jihun Choi, Taeuk Kim, Sang-goo Lee:
A Cross-Sentence Latent Variable Model for Semi-Supervised Text Sequence Matching. ACL (1) 2019: 4747-4761 - [c111]Jihun Choi, Taeuk Kim, Sang-goo Lee:
Cell-aware Stacked LSTMs for Modeling Sentences. ACML 2019: 1172-1187 - [c110]Kang Min Yoo, Taeuk Kim, Sang-goo Lee:
Don't Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja. EMNLP/IJCNLP (1) 2019: 3526-3531 - [c109]Kang Min Yoo, Hyun Soo Jo, Hanbit Lee, Jeeseung Han, Sang-goo Lee:
Stochastic Relational Network. ICCV Workshops 2019: 788-792 - [c108]Hyunsoo Cho, Chaemin Ahn, Kang Min Yoo, Jinseok Seol, Sang-goo Lee:
Leveraging Class Hierarchy in Fashion Classification. ICCV Workshops 2019: 3197-3200 - [c107]Richeng Xuan, Junho Shim, Sang-goo Lee:
Variational Deep Semantic Text Hashing with Pairwise Labels. IMCOM 2019: 1076-1091 - [c106]Holim Lim, Jeeseung Han, Sang-goo Lee:
SisterNetwork: Enhancing Robustness of Multi-label Classification with Semantically Segmented Images. IMCOM 2019: 1092-1099 - [c105]Sanghwan Bae, Jihun Choi, Sang-goo Lee:
SNU IDS at SemEval-2019 Task 3: Addressing Training-Test Class Distribution Mismatch in Conversational Classification. SemEval@NAACL-HLT 2019: 312-317 - [c104]Hanbit Lee, Sang-goo Lee:
Fashion Attributes-to-Image Synthesis Using Attention-Based Generative Adversarial Network. WACV 2019: 462-470 - [i12]Sanghwan Bae, Jihun Choi, Sang-goo Lee:
SNU_IDS at SemEval-2019 Task 3: Addressing Training-Test Class Distribution Mismatch in Conversational Classification. CoRR abs/1903.02163 (2019) - [i11]Jihun Choi, Taeuk Kim, Sang-goo Lee:
A Cross-Sentence Latent Variable Model for Semi-Supervised Text Sequence Matching. CoRR abs/1906.01343 (2019) - [i10]Kang Min Yoo, Taeuk Kim, Sang-goo Lee:
Don't Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja. CoRR abs/1908.09282 (2019) - [i9]Sanghwan Bae, Taeuk Kim, Jihoon Kim, Sang-goo Lee:
Summary Level Training of Sentence Rewriting for Abstractive Summarization. CoRR abs/1909.08752 (2019) - 2018
- [j34]Jonghem Youn, Junho Shim, Sang-goo Lee:
Efficient Data Stream Clustering With Sliding Windows Based on Locality-Sensitive Hashing. IEEE Access 6: 63757-63776 (2018) - [j33]Youhyun Shin, Junghyuk Park, Sang-goo Lee:
Improving the integrated experience of in-class activities and fine-grained data collection for analysis in a blended learning class. Interact. Learn. Environ. 26(5): 597-612 (2018) - [c103]Jihun Choi, Kang Min Yoo, Sang-goo Lee:
Learning to Compose Task-Specific Tree Structures. AAAI 2018: 5094-5101 - [c102]Junghyuk Park, Hyunsoo Cho, Sang-goo Lee:
Automatic Generation of Multiple-Choice Fill-in-the-Blank Question Using Document Embedding. AIED (2) 2018: 261-265 - [c101]Youhyun Shin, Kang Min Yoo, Sang-goo Lee:
Slot Filling with Delexicalized Sentence Generation. INTERSPEECH 2018: 2082-2086 - [c100]Taeuk Kim, Jihun Choi, Sang-goo Lee:
SNU_IDS at SemEval-2018 Task 12: Sentence Encoder with Contextualized Vectors for Argument Reasoning Comprehension. SemEval@NAACL-HLT 2018: 1083-1088 - [c99]Jihun Choi, Taeuk Kim, Sang-goo Lee:
Element-wise Bilinear Interaction for Sentence Matching. *SEM@NAACL-HLT 2018: 107-112 - [i8]Taeuk Kim, Jihun Choi, Sang-goo Lee:
SNU_IDS at SemEval-2018 Task 12: Sentence Encoder with Contextualized Vectors for Argument Reasoning Comprehension. CoRR abs/1805.07049 (2018) - [i7]Jihun Choi, Taeuk Kim, Sang-goo Lee:
Cell-aware Stacked LSTMs for Modeling Sentences. CoRR abs/1809.02279 (2018) - [i6]Taeuk Kim, Jihun Choi, Daniel Edmiston, Sanghwan Bae, Sang-goo Lee:
Dynamic Compositionality in Recursive Neural Networks with Structure-aware Tag Representations. CoRR abs/1809.02286 (2018) - [i5]Kang Min Yoo, Youhyun Shin, Sang-goo Lee:
Data Augmentation for Spoken Language Understanding via Joint Variational Generation. CoRR abs/1809.02305 (2018) - 2017
- [j32]Youngki Park, Heasoo Hwang, Sang-goo Lee:
Query-specific signature selection for efficient k-nearest neighbour approximation. J. Inf. Sci. 43(4): 440-457 (2017) - [c98]Jonghem Youn, Jihun Choi, Junho Shim, Sang-goo Lee:
Partition-Based Clustering with Sliding Windows for Data Streams. DASFAA (2) 2017: 289-303 - [c97]Sanghyuk Choi, Taeuk Kim, Jinseok Seol, Sang-goo Lee:
A Syllable-based Technique for Word Embeddings of Korean Words. SWCN@EMNLP 2017: 36-40 - [c96]Youhyun Shin, Sang-goo Lee:
Supersense Tagging with a Combination of Character, Subword, and Word-level Representations. SWCN@EMNLP 2017: 41-45 - [c95]Manhui Han, Jonghem Youn, Sang-goo Lee:
Efficient query processing on distributed stream processing engine. IMCOM 2017: 29 - [i4]Jihun Choi, Kang Min Yoo, Sang-goo Lee:
Unsupervised Learning of Task-Specific Tree Structures with Tree-LSTMs. CoRR abs/1707.02786 (2017) - [i3]Sanghyuk Choi, Taeuk Kim, Jinseok Seol, Sang-goo Lee:
A Syllable-based Technique for Word Embeddings of Korean Words. CoRR abs/1708.01766 (2017) - [i2]Hanbit Lee, Jinseok Seol, Sang-goo Lee:
Style2Vec: Representation Learning for Fashion Items from Style Sets. CoRR abs/1708.04014 (2017) - [i1]Kang Min Yoo, Youhyun Shin, Sang-goo Lee:
Improving Visually Grounded Sentence Representations with Self-Attention. CoRR abs/1712.00609 (2017) - 2016
- [j31]Jaeseok Myung, Junho Shim, Jongheum Yeon, Sang-goo Lee:
Handling data skew in join algorithms using MapReduce. Expert Syst. Appl. 51: 286-299 (2016) - [j30]Byoungju Yang, Hyun Joon Kim, Junho Shim, Dongjoo Lee, Sang-goo Lee:
Fast and scalable vector similarity joins with MapReduce. J. Intell. Inf. Syst. 46(3): 473-497 (2016) - [j29]Youngki Park, Heasoo Hwang, Sang-goo Lee:
A novel algorithm for scalable k-nearest neighbour graph construction. J. Inf. Sci. 42(2): 274-288 (2016) - [c94]Jihun Choi, Jonghem Youn, Sang-goo Lee:
A grapheme-level approach for constructing a Korean morphological analyzer without linguistic knowledge. IEEE BigData 2016: 3872-3879 - [c93]Richeng Xuan, Sang-goo Lee:
Detecting representative web articles using heterogeneous graphs. IALP 2016: 45-48 - [c92]Yeonchan Ahn, Hanbit Lee, Heesik Jeon, Seungdo Ha, Sang-goo Lee:
Quote Recommendation for Dialogs and Writings. CBRecSys@RecSys 2016: 39-42 - [c91]Hanbit Lee, Yeonchan Ahn, Haejun Lee, Seungdo Ha, Sang-goo Lee:
Quote Recommendation in Dialogue using Deep Neural Network. SIGIR 2016: 957-960 - 2015
- [j28]Sangkeun Lee, Minsuk Kahng, Sang-goo Lee:
Constructing compact and effective graphs for recommender systems via node and edge aggregations. Expert Syst. Appl. 42(7): 3396-3409 (2015) - [j27]Youngki Park, Sungchan Park, Woosung Jung, Sang-goo Lee:
Reversed CF: A fast collaborative filtering algorithm using a k-nearest neighbor graph. Expert Syst. Appl. 42(8): 4022-4028 (2015) - [c90]Youngki Park, Heasoo Hwang, Sang-goo Lee:
A Fast k-Nearest Neighbor Search Using Query-Specific Signature Selection. CIKM 2015: 1883-1886 - [c89]Youhyun Shin, Yeonchan Ahn, Heesik Jeon, Sang-goo Lee:
Consensus Similarity Measure for Short Text Clustering. DEXA Workshops 2015: 264-268 - [c88]Youhyun Shin, Yeonchan Ahn, Hyuntak Kim, Sang-goo Lee:
Exploiting synonymy to measure semantic similarity of sentences. IMCOM 2015: 40:1-40:4 - [c87]Hyun Joon Kim, Sang-goo Lee:
StdSort: efficient pre-processing for faster vector similarity join using standard deviation. IMCOM 2015: 93:1-93:5 - [c86]Hanbit Lee, Sang-goo Lee:
Style Recommendation for Fashion Items using Heterogeneous Information Network. RecSys Posters 2015 - 2014
- [j26]Jaehui Park, Sang-goo Lee:
A graph-theoretic approach to optimize keyword queries in relational databases. Knowl. Inf. Syst. 41(3): 843-870 (2014) - [c85]Jae Ho Jeon, Jongheum Yeon, Sang-goo Lee, Jinwook Seo:
Exploratory visualization of smarphone-based life-logging data using Smart Reality Testbed. BigComp 2014: 29-33 - [c84]Youngki Park, Sungchan Park, Sang-goo Lee, Woosung Jung:
Fast Collaborative Filtering with a k-nearest neighbor graph. BigComp 2014: 92-95 - [c83]Youngki Park, Sungchan Park, Sang-goo Lee, Woosung Jung:
Greedy Filtering: A Scalable Algorithm for K-Nearest Neighbor Graph Construction. DASFAA (1) 2014: 327-341 - [c82]Kang Min Yoo, Sungchan Park, Sang-goo Lee:
RDB2Graph: A Generic Framework for Modeling Relational Databases as Graphs. JIST (Workshops & Posters) 2014: 148-151 - 2013
- [j25]Sang-goo Lee, Zhiyong Peng, Xiaofang Zhou:
Editorial - DASFAA2012. Data Knowl. Eng. 88: 177-178 (2013) - [j24]Sangkeun Lee, Sungchan Park, Minsuk Kahng, Sang-goo Lee:
PathRank: Ranking nodes on a heterogeneous graph for flexible hybrid recommender systems. Expert Syst. Appl. 40(2): 684-697 (2013) - [j23]Jaehui Park, Sang-goo Lee:
Pragmatic correlation analysis for probabilistic ranking over relational data. Expert Syst. Appl. 40(7): 2649-2658 (2013) - [j22]Seungseok Kang, Junho Shim, Sang-goo Lee:
Tridex: A lightweight triple index for relational database-based Semantic Web data management. Expert Syst. Appl. 40(9): 3421-3431 (2013) - [j21]Jae-Won Lee, Han-joon Kim, Sang-goo Lee:
A probability-based unified framework for semantic search and recommendation. J. Inf. Sci. 39(5): 608-628 (2013) - [j20]Jaeseok Myung, Sang-goo Lee:
Exploiting inter-operation parallelism for matrix chain multiplication using MapReduce. J. Supercomput. 66(1): 594-609 (2013) - [c81]Chungrim Kim, Sangkeun Lee, Sungchan Park, Sang-goo Lee:
Influence Maximization Algorithm Using Markov Clustering. DASFAA Workshops 2013: 112-126 - [c80]Byoungju Yang, Jaeseok Myung, Sang-goo Lee, Dongjoo Lee:
A MapReduce-based filtering algorithm for vector similarity join. ICUIMC 2013: 71 - [c79]Yeonchan Ahn, Sungchan Park, Sangkeun Lee, Sang-goo Lee:
A heterogeneous graph-based recommendation simulator. RecSys 2013: 471-472 - [c78]Youngki Park, Sungchan Park, Sang-goo Lee, Woosung Jung:
Scalable k-nearest neighbor graph construction based on greedy filtering. WWW (Companion Volume) 2013: 227-228 - 2012
- [c77]Sangkeun Lee, Sungchan Park, Minsuk Kahng, Sang-goo Lee:
PathRank: a novel node ranking measure on a heterogeneous graph for recommender systems. CIKM 2012: 1637-1641 - [c76]Jaeseok Myung, Sang-goo Lee:
Matrix chain multiplication via multi-way join algorithms in MapReduce. ICUIMC 2012: 53:1-53:5 - [c75]Sang-il Song, Sangkeun Lee, Sungchan Park, Sang-goo Lee:
Determining user expertise for improving recommendation performance. ICUIMC 2012: 67:1-67:5 - [c74]Minsuk Kahng, Sang-goo Lee:
Exploiting paths for entity search in RDF graphs. SIGIR 2012: 1027-1028 - [c73]Byoungju Yang, Sangkeun Lee, Sungchan Park, Sang-goo Lee:
Exploiting various implicit feedback for collaborative filtering. WWW (Companion Volume) 2012: 639-640 - [e5]Sang-goo Lee, Zhiyong Peng, Xiaofang Zhou, Yang-Sae Moon, Rainer Unland, Jaesoo Yoo:
Database Systems for Advanced Applications - 17th International Conference, DASFAA 2012, Busan, South Korea, April 15-19, 2012, Proceedings, Part I. Lecture Notes in Computer Science 7238, Springer 2012, ISBN 978-3-642-29037-4 [contents] - [e4]Sang-goo Lee, Zhiyong Peng, Xiaofang Zhou, Yang-Sae Moon, Rainer Unland, Jaesoo Yoo:
Database Systems for Advanced Applications - 17th International Conference, DASFAA 2012, Busan, South Korea, April 15-19, 2012, Proceedings, Part II. Lecture Notes in Computer Science 7239, Springer 2012, ISBN 978-3-642-29034-3 [contents] - 2011
- [j19]Jae-Won Lee, Sang-goo Lee, Han-joon Kim:
A probabilistic approach to semantic collaborative filtering using world knowledge. J. Inf. Sci. 37(1): 49-66 (2011) - [j18]Ig-hoon Lee, Sang-goo Lee, Junho Shim:
Making T-Trees Cache Conscious on Commodity Microprocessors. J. Inf. Sci. Eng. 27(1): 143-161 (2011) - [j17]Jae-Won Lee, Han-Joon Kim, Sang-goo Lee:
Exploiting Taxonomic Knowledge for Personalized Search: A Bayesian Belief Network-based Approach. J. Inf. Sci. Eng. 27(4): 1413-1433 (2011) - [j16]Jaehui Park, Sang-goo Lee:
Keyword search in relational databases. Knowl. Inf. Syst. 26(2): 175-193 (2011) - [c72]Minsuk Kahng, Sangkeun Lee, Sang-goo Lee:
Ranking objects by following paths in entity-relationship graphs. PIKM@CIKM 2011: 11-18 - [c71]Jaehui Park, Sang-goo Lee:
Exploiting Correlation to Rank Database Query Results. DASFAA (2) 2011: 296-305 - [c70]Sangkeun Lee, Minsuk Kahng, Sang-goo Lee:
Flexible recommendation using random walks on implicit feedback graph. ICUIMC 2011: 3 - [c69]Inbeom Hwang, Minsuk Kahng, Sang-goo Lee:
Exploiting user feedback to improve quality of search results clustering. ICUIMC 2011: 68 - [c68]Sangkeun Lee, Sang-il Song, Minsuk Kahng, Dongjoo Lee, Sang-goo Lee:
Random walk based entity ranking on graph for multidimensional recommendation. RecSys 2011: 93-100 - [c67]Minsuk Kahng, Sangkeun Lee, Sang-goo Lee:
Ranking in context-aware recommender systems. WWW (Companion Volume) 2011: 65-66 - 2010
- [j15]Jae-Won Lee, Han-joon Kim, Sang-goo Lee:
Conceptual collaborative filtering recommendation: A probabilistic learning approach. Neurocomputing 73(13-15): 2793-2796 (2010) - [j14]Jung-Yeon Yang, Han-joon Kim, Sang-goo Lee:
Feature-based Product Review Summarization Utilizing User Score. J. Inf. Sci. Eng. 26(6): 1973-1990 (2010) - [j13]