Lim, H., Park, S., Li, X., Li, Q., & Kim, J. (2024, Fall). A multimodal review helpfulness prediction model considering central and peripheral cues. Paper presented at the Korean Operations and Management Science Society Fall Conference, South Korea.
Woo, S., Kim, R., Park, S., Li, X., Li, Q., & Kim, J. (2024, Fall). A restaurant recommendation system based on attribute-level sentiment analysis considering the importance of customer attributes. Paper presented at the Korea Intelligent Information Systems Society Fall Conference, South Korea.
Kim, N., Lim, H., Li, X., Li, Q., & Kim, J. (2024, Fall). A trustworthy AI-driven personalized hybrid model integrating multi-level representations for enhanced decision support. Paper presented at the Korea Intelligent Information Systems Society Fall Conference, South Korea.
Kim, S., Kim, R., Li, X., Li, Q., & Kim, J. (2024, Fall). Leveraging AI-driven advanced transformer for summarized review-aware recommendation. Paper presented at the Korea Intelligent Information Systems Society Fall Conference, South Korea.
Park, S., Kim, J., Li, X., Li, Q., & Kim, J. (2024, Spring). A multimodal review helpfulness prediction model considering review content and product consistency. Paper presented at the Korean Institute of Industrial Engineers and Korean Operations and Management Science Society Joint Spring Conference, Yeosu, South Korea.
Yang, S., Li, Q., Jang, D., & Kim, J. (2023, November). A personalized restaurant recommendation model exploiting granular customer preferences. Paper presented at the Korean Operations and Management Science Society Fall Conference, Seoul, South Korea.
Ryu, D., Li, X., Li, Q., & Kim, J. (2023, November). A cross-domain recommendation model with doc2vec for solving data sparsity problems. Paper presented at the Korean Operations and Management Science Society Fall Conference, Seoul, South Korea.
Jang, D., Li, Q., Lee, C., & Kim, J. (2023, November). MAMF: A multi attribute-based matrix factorization model using an attention mechanism for an enhanced recommendation performance. Paper presented at the Korean Operations and Management Science Society Fall Conference, Seoul, South Korea.
Lim, H., Yang, S., Li, Q., & Kim, J. (2023, November). Personalized recommendation system using meta-embedding. Paper presented at the Korean Operations and Management Science Society Fall Conference, Seoul, South Korea.
Yang, S., Lim, H., Li, Q., & Kim, J. (2023, October). An attentive aspect-based explainable recommendation model with an attention mechanism. Paper presented at the Korea Intelligent Information Systems Society Fall Conference, Jeju, South Korea.
Li, Q., Jang, D., Kim, D., & Kim, J. (2023, May). Artificial intelligence mechanism for the hospitality industry: Developing a personalized restaurant recommendation model for consumer decision-making. Paper presented at the Korean Institute of Industrial Engineers and Korean Operations and Management Science Society Joint Spring Conference, Jeju, South Korea.
Li, X., Li, Q., Ryu, D., & Kim, J. (2023, Spring). A study on BERT-based review helpfulness prediction reflecting text-rating interaction. Paper presented at the Korean Institute of Industrial Engineers and Korean Operations and Management Science Society Joint Spring Conference, Jeju, South Korea.
Jang, D., Li, Q., Lee, C., & Kim, J. (2023, Spring). Enhancing recommendation performance using multi attribute-based attention mechanism: Evidence from Amazon.com. Paper presented at the Korean Institute of Industrial Engineers and Korean Operations and Management Science Society Joint Spring Conference, Jeju, South Korea.
Jeong, D., Li, Q., & Kim, J. (2023, Spring). The moderating role of reviewers' cultural background on the impact of online review content and reviewer characteristics on review helpfulness. Paper presented at the Korean Institute of Industrial Engineers and Korean Operations and Management Science Society Joint Spring Conference, Jeju, South Korea.
Ryu, D., Li, X., Li, Q., & Kim, J. (2023, Spring). Development and evaluation of a DOC2VEC-based cross-domain recommender system model to address data sparsity issues. Paper presented at the Korean Institute of Industrial Engineers and Korean Operations and Management Science Society Joint Spring Conference, Jeju, South Korea.
Yang, S., Li, Q., Jang, D., & Kim, J. (2023, Spring). A study on personalized restaurant recommender system using attribute-based sentiment analysis. Paper presented at the Korean Institute of Industrial Engineers and Korean Operations and Management Science Society Joint Spring Conference, Jeju, South Korea.
Jung, E., Li, Q., Lee, B., & Kim, J. (2023, Spring). The impact of perceived customer value on customer satisfaction in airline services: Focusing on BERTopic methodology. Paper presented at the Korean Institute of Industrial Engineers and Korean Operations and Management Science Society Joint Spring Conference, Jeju, South Korea.
Jang, D., Li, Q., & Kim, J. (2022, Fall). Enhancing recommender system performance using linguistic characteristics of deep learning-based online reviews. Paper presented at the Korea Intelligent Information Systems Society Fall Conference, Seoul, South Korea.
Koo, H., Li, Q., & Kim, J. (2022, Fall). Deep learning recommendation methodology for the restaurant industry: Learning the interaction between consumer preferences and restaurant attributes. Paper presented at the Korean Society of Management Information Systems Fall Conference, Seoul, South Korea.
Li, X., Li, Q., & Kim, J. (2022). A Multi-CNN model interacting contents and ratings for predicting review helpfulness. Paper presented at the 23rd International Conference on Electronic Commerce (ICEC 2022), Daegu, South Korea.
Kim, D., Li, Q., Li, X., Jung, J., & Kim, J. (2022, Spring). Comparison of online-offline recommendation performance based on time-lag effect. Paper presented at the Korean Society of Management Information Systems Spring Conference, Seoul, South Korea.
Li, X., Li, Q., & Kim, J. (2021, Fall). A study on CNN-based online review usefulness prediction considering quantitative and qualitative preference information. Paper presented at the Korean Operations and Management Science Society Fall Conference, Seoul, South Korea.
Li, Q., Lee, B., Li, X., & Kim, J. (2021, Spring). Enhancing personalized recommendation service performance through CNN-based review helpfulness score prediction. Paper presented at the Korea Intelligent Information Systems Society Spring Conference, Seoul, South Korea.
Choi, J., & Lee, S. K. (2021, June). A study on the quality factors of defense procurement services affecting the long-term orientation of procurement companies. Paper presented at the International Conference on Convergence Technology, Jeju, South Korea.
Choi, J., & Lee, S. K. (2021, June). Influence of competency and communication skill on client willingness and financial performance. Paper presented at the International Conference on Convergence Technology, Jeju, South Korea.
Jung, E., & Lee, S. K. (2021). Analysis of the correlation between satisfaction and dissatisfaction with the use of experimental (practice) teaching aids and purchase motivation: Targeting middle and high school teachers in Korea. Paper presented at the 7th International Conference for Small & Medium Business, Seoul, South Korea.
Lee, S. K. (2016, December). A study on industry information analysis methodology based on text mining. Paper presented at the Conference of Korean Digital Policy Society, Seoul, South Korea.
Lee, S. K. (2016, June). A study on the ways to promote off-line electronic micro-payment using transportation cards. Paper presented at the Conference of Korean Digital Policy Society, Seoul, South Korea.
Lee, S. K. (2015, April). A study developing smartphone apps using a style-fit scanners. Paper presented at the Conference of Korean Information Processing Society, Seoul, South Korea.
Lee, S. K. (2014, November). Research on the effects of a consultant's nonverbal communications on a client’s evaluation. Paper presented at the Conference of Korean Digital Policy Society, Seoul, South Korea.
Lee, S. K. (2014, April). A study on personalized advertising using smartphone connected to multimedia digital devices. Paper presented at the Conference of Korean Information Processing Society, Seoul, South Korea.
Lee, S. K. (2013, December). Gaining customer-specific evaluation information on online products and applying method for one-to-one product recommendation. Paper presented at the CRM Convention, Seoul, South Korea.
Cheoh, J. Y., & Lee, S. K. (2012, December). A study on the estimation method of using online evaluation information. Paper presented at the Conference of Korean Intellectual Information System Society, Seoul, South Korea.
Lee, D., Kim, Y. G., & Lee, S. K. (2012, April). A string similarity measure based on orthographic and phonetic similarity for spelling correction. Paper presented at the International Conference on Information Science and Technology (IST 2012), Shanghai, China.
Lee, D., Kim, Y. G., & Lee, S. K. (2012, April). A collaborative recommender system: Lexicographic consensus and web usage mining approach. Paper presented at the International Conference on Information Science and Technology (IST 2012), Shanghai, China.