Browse > Article
http://dx.doi.org/10.3743/KOSIM.2016.33.1.317

A Study on Scientific Article Recommendation System with User Profile Applying TPIPF  

Zhang, Lingling (전남대학교 대학원 문헌정보학과)
Chang, Woo Kwon (전남대학교 문헌정보학과)
Publication Information
Journal of the Korean Society for information Management / v.33, no.1, 2016 , pp. 317-336 More about this Journal
Abstract
Nowadays users spend more time and effort to find what they want because of information overload. To solve the problem, scientific article recommendation system analyse users' needs and recommend them proper articles. However, most of the scientific article recommendation systems neglected the core part, user profile. Therefore, in this paper, instead of mean which applied in user profile in previous studies, New TPIPF (Topic Proportion-Inverse Paper Frequency) was applied to scientific article recommendation system. Moreover, the accuracy of two scientific article recommendation systems with above different methods was compared with experiments of public dataset from online reference manager, CiteULike. As a result, the proposed scientific article recommendation system with TPIPF was proven to be better.
Keywords
scientific article recommendation system; article profile; user profile; TPIPF; content-based filtering; LDA;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 박상진, 김윤현, 이지현 (2011). 인용논문 분석을 통한 학술 문서 추천 시스템. 한국정보처리학회 춘계학술발표대회 논문집, 18(1), 279-282.(Park, Sang Jin, Kim, Yoon Hyun, & Lee, Ji-Hyun (2011). A recommender of academic papers using the citation analysis. The 35th Conferences of the KIPS, 18(1), 279-282.)
2 여운동, 박현우, 권영일, 박영욱 (2010). 연구논문 추천시스템의 전자도서관 적용방안. 한국콘텐츠학회논문지, 10(11), 10-19. http://dx.doi.org/10.5392/jkca.2010.10.11.010(Yeo, Woon-Dong, Park, Hyun-Woo, Kwon, Young-Il, & Park, Young-Wook (2010). Application of research paper recommender system to digital library. The Korean Contents Society, 10(11), 10-19. http://dx.doi.org/10.5392/jkca.2010.10.11.010)   DOI
3 최호연, 신동옥, 최중민, 김정선 (2013). 전자 도서관 도메인에서 의미적 관계를 이용한 개인화된 논문추천 시스템. 정보과학회논문지: 소프트웨어 및 응용, 40(3), 164-175.(Choi, Hoyeon, Shin, Dongwook, Choi, Joongmin, & Kim, Jungsun (2013). PARuS: Personalized academic paper recommender using semantic relation in digital library domain. Journal of KISS: Software and Applications, 40(3), 164-175.)
4 Beel, J., Langer, S., Genzmehr, M., & Nürnberger, A. (2013). Introducing docear's research paper recommender system. Proceedings of the 13th ACM/IEEECS Joint Conference on Digital Libraries, 459-460. http://dx.doi.org/10.1145/2467696.2467786   DOI
5 Blei, D. M., & Lafferty, J. D. (2007). A correlated topic model of science. The Annals of Applied Statistics, 1(1), 17-35. http://dx.doi.org/10.1214/07-aoas114   DOI
6 Blei, D. M., & Lafferty, J. D. (2009). Topic models. In A. Srivastava & M. Sahami (eds.), Text mining: classification, clustering, and applications. Chapman & Hall/CRC Press.
7 Blei, D. M., Ng, A. Y., & Jordan, M. I. (2003). Latent Dirichlet Allocation. Journal of Machine Learning Research, 3, 993-1022.
8 Bogers, T., & van den Bosch, A. (2008). Recommending scientific articles using CiteULike. Proceedings of the 2008 ACM Conference on Recommender Systems, 287-290. http://dx.doi.org/10.1145/1454008.1454053
9 Burke, R. (2002). Hybrid recommender systems: survey and experiments. User Modeling and User-Adapted Interaction, 12(4), 331-370. http://dx.doi.org/10.1109/dictap.2012.6215409   DOI
10 Chandrasekaran, K., Gauch, S., Lakkaraju, P., & Luong, H. (2008). Concept-based document recommendations for Citeseer authors. Proceedings of the 5th International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems, 83-92. http://dx.doi.org/10.1007/978-3-540-70987-9_11
11 Choochaiwattana, W. (2010). Usage of tagging for research paper recommendation. Proceedings of the 3rd International Conference on Advanced Computer Theory and Engineering (ICACTE), 439-442. http://dx.doi.org/10.1109/icacte.2010.5579321
12 CiteULike (2016). dataset. Retrieved from http://www.citeulike.org/faq/data.adp.
13 Ferrara, F., Pudota, N., & Tasso, C. (2011). A keyphrase-based paper recommender system. Proceedings of Italian Research Conference (IRCDL 2011), 14-25. http://dx.doi.org/10.1007/978-3-642-27302-5_2   DOI
14 Henning, V., & Reichelt, J. (2008). Mendeley-a Last.fm for Research? IEEE Fourth International Conference on eScience, 327-328. http://dx.doi.org/10.1109/escience.2008.128
15 Griffiths, T. L., & Steyvers, M. (2004). Finding scientific topics. Proceedings of the National Academy of Sciences of the United States of America, 101, 5228-5235. http://dx.doi.org/10.1073/pnas.0307752101
16 Grun, B., & Hornik, K. (2011). Topicmodels: An R package for fitting topic models. Journal of Statistical Software, 40(13), 1-30. http://dx.doi.org/10.18637/jss.v040.i13
17 He, Q., Pei, J., Kifer, D., Mitra, P., & Giles, L. (2010). Context-aware citation recommendation. Proceedings of the 19th International Conference on World Wide Web, 421-430. http://dx.doi.org/10.1145/1772690.1772734   DOI
18 Hornik, K., & Gruen, B. (2011). Topicmodels: an R package for fitting topic models. Journal of Statistical Software, 40(13), 1-30. Topicmodels: an R package for fitting topic models. http://dx.doi.org/10.1109/escience.2008.128
19 Huang, W., Kataria, S., Caragea, C., Mitra, P., Giles, C. L., & Rokach, L. (2012). Recommending citations: translating papers into references. Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 1910-1914. http://dx.doi.org/10.1145/2396761.2398542
20 Hwang, S., & Chuang, S. (2004). Combining article content and Web usage for literature recommendation in digital libraries. Online Information Review, 28(4), 260-272. http://dx.doi.org/10.1108/14684520410553750   DOI
21 James, G., Witten, D., Hastie, T., & Tibshirani, R. (2014). An introduction to statistical learning: with applications in R. Springer.
22 Jiang, Y., Jia, A., Feng, Y., & Zhao, D. (2012). Recommending academic papers via users' reading purposes. Proceedings of the 6th ACM Conference on Recommender Systems, 241-244. http://dx.doi.org/10.1145/2365952.2366004
23 Pudhiyaveetil, A., Kodakateri, G. S., Luong, H., & Eno, J. (2009). Conceptual recommender system for CiteSeerX. Proceedings of the third ACM Conference on Recommender Systems, 241-244. http://dx.doi.org/10.1145/1639714.1639758   DOI
24 Liang, T., Yang, Y., Chen, D., & Ku, Y. (2008). A semantic-expansion approach to personalized knowledge recommendation. Decision Support Systems, 45(3), 401-412. http://dx.doi.org/10.1016/j.dss.2007.05.004   DOI
25 Lops, P., de Gemmis, M., & Semeraro, G. (2011). Content-based recommender systems: state of the art and trends. In F. Ricci, L. Rokach, B. Shapria & K. Paul (Eds.). Recommender systems handbook (pp. 73-105). Springer.
26 Middleton, S. E., De Roure, D. C., & Shadbolt, N. R. (2001). Capturing knowledge of user preferences: ontologies in recommender systems. Proceedings of the 1st International Conference on Knowledge Capture (K-CAP 2001), 100-107. http://dx.doi.org/10.1145/500737.500755   DOI
27 Sarkar, Deepayan (2008). Lattice: Multivariate data visualization with R. New York: Springer.
28 Sarwar, B., Karypis, G., Konstan, J., & Riedl, J. (2001). Item-based collaborative filtering recommendation algorithms. Proceedings of the 10th International Conference on World Wide Web, 285-295. http://dx.doi.org/10.1145/371920.372071   DOI
29 Shani, G., & Gunawardana, A. (2011). Evaluating recommendation systems. In F. Ricci, L. Rokach, B. Shapria & K. Paul (Eds.). Recommender Systems Handbook (pp. 257-297). Springer.
30 Sugiyama, K., & Kan, M. (2010). Scholarly paper recommendation via user's recent research interests. Proceedings of Joint Conference of Digital Libraries. Gold Coast, 29-38. http://dx.doi.org/10.1145/1816123.1816129   DOI
31 Wallach, H. M. (2008). Structured topic models for language. Ph.D. diss. University of Cambridge, UK.
32 Torres, R., McNee, S. M., Abel, M., Konstan, J. A., & Riedl, J. (2004). Enhancing digital libraries with Techlens+. Proceedings of the 4th ACM/IEEE-CS Joint Conference on Digital Libraries, 228-236. http://dx.doi.org/10.1145/996350.996402   DOI
33 Vellino, A. (2010). A comparison between usage-based and citation-based methods for recommending scholarly research articles. Proceedings of the American Society for Information Science and Technology, 1-2. http://dx.doi.org/10.1002/meet.14504701330   DOI