Exploratory Search for Scientific Articles

1. Marchionini, G., Exploratory search: From finding to understanding, Commun. ACM, 2006, vol. 49, no. 4, pp. 41–46.

   Article  Google Scholar 

2. White, R.W. and Roth, R.A., Exploratory Search: Beyond the Query-Response Paradigm. Synthesis Lectures on Information Concepts, Retrieval, and Services, Morgan and Claypool, 2009.

   Google Scholar 

3. Marchionini, G., Information Seeking in Electronic Environments, Cambridge University Press, 1997.

   Google Scholar 

4. Ellis, D., Cox, D., and Hall, K., A comparison of the information seeking patterns of researchers in the physical and social sciences, J. Doc., 1993, vol. 49, no. 4, pp. 356–369.

   Article  Google Scholar 

5. Ellis, D., A behavioural approach to information retrieval system design, J. Doc., 1989, vol. 45, no. 3, pp. 171–212.

   Article  Google Scholar 

6. Niu, X., Hemminger, B.M., Lown, C., Adams, S., Brown, C., Level, A., McLure, M., Powers, A., Tennant, M.R., and Cataldo, T., National study of information seeking behavior of academic researchers in the United States, J. Assoc. Inf. Sci. Technol., 2010, vol. 61, no. 5, pp. 869–890.

   Article  Google Scholar 

7. Niu, X. and Hemminger, B.M., A study of factors that affect the information-seeking behavior of academics scientists, J. Am. Soc. Inf. Sci. Technol., 2012, vol. 63, no. 2, pp. 336–353.

   Article  Google Scholar 

8. Meho, L.I. and Tibbo, H.R., Modeling the information-seeking behavior of social scientists: Ellis’s study revisited, J. Assoc. Inf. Sci. Technol., 2003, vol. 54, no. 6, pp. 570–587.

   Article  Google Scholar 

9. Palagi, E., Gandon, F., Giboin, A., and Troncy, R., A survey of definitions and models of exploratory search, Proc. ACM Workshop Exploratory Search and Interactive Data Analytics, 2017, pp. 3–8.

10. Athukorala, K., Hoggan, E., Lehtio, A., Ruotsalo, T., and Jacucci, G., Information-seeking behaviors of computer scientists: Challenges for electronic literature search tools, Proc. 76th Annu. Meet. Association for Information Science and Technology (ASIS&T), 2013, vol. 50, pp. 1–11.

    Article  Google Scholar 

11. Jiang, T., Exploratory search: A critical analysis of the theoretical foundations, system features, and research trends, Library and Information Sciences, Springer, 2014, pp. 79–103.

    Google Scholar 

12. Yanina, A.O. and Vorontsov, K.V., Multimodal thematic models for exploratory search in a collective blog, Mashinnoe Obuchenie Anal. Dannykh, 2016, vol. 2, no. 2, pp. 173–186.

    Google Scholar 

13. Beel, J., Gipp, B., Langer, S., and Breitinger, C., Research-paper recommender systems: A literature survey, Int. J. Digital Libr., 2016, vol. 17, no. 4, pp. 305–338.

    Article  Google Scholar 

14. Parkhomenko, P.A., Grigor’ev, A.A., and Astrakhantsev, N.A., Overview and experimental comparison of text clustering methods, Tr. Inst. Sistemnogo Program. Ross. Akad. Nauk, 2017, vol. 29, no. 2, pp. 161–200.

    Google Scholar 

15. Tian, H. and Zhuo, H.H., Paper2vec: Citation-context based document distributed representation for scholar recommendation, 2017.

16. Kong, X., Mao, M., Wang, W., Liu, J., and Xu, B., Voprec: Vector representation learning of papers with text information and structural identity for recommendation, IEEE Trans. Emerging Top. Comput., 2018.

17. Morris, M.R. and Horvitz, E., SearchTogether: An interface for collaborative web search, Proc. 20th Annu. ACM Symp. User Interface Software and Technology, 2007, pp. 3–12.

18. Morris, M.R., Collaborative search revisited, Proc. Conf. Computer Supported Cooperative Work, 2013, pp. 1181–1192.

19. Chen, C., Ibekwe-SanJuan, F., and Hou, J., The structure and dynamics of cocitation clusters: A multiple-perspective cocitation analysis, J. Am. Soc. Inf. Sci. Technol., 2010, vol. 61, no. 7, pp. 1386–1409.

    Article  Google Scholar 

20. McCay-Peet, L., Quan-Haase, A., and Kern, D., Exploratory search in digital libraries: A preliminary examination of the use and role of interface features, Proc. 78th Annu. Meet. Association for Information Science and Technology, 2015, vol. 52, pp. 1–4.

    Article  Google Scholar 

21. Li, H., Councill, I., Lee, W.-C., and Giles, C.L., CiteSeerZ: An architecture and web service design for an academic document search engine, Proc. 15th Int. Conf. World Wide Web, 2006, pp. 883–884.

22. Tang, J., Zhang, J., Yao, L., Li, J., Zhang, L., and Su, Z., ArnetMiner: Extraction and mining of academic social networks, Proc. 14th ACM SIGKDD Int. Conf. Knowledge Discovery and Data Mining, 2008, pp. 990–998.

23. Ammar, W., Groeneveld, D., Bhagavatula, C., et al., Construction of the literature graph in semantic scholar, 2018.

24. Zaugg, H., West, R.E., Tateishi, I., and Randall, D.L., Mendeley: Creating communities of scholarly inquiry through research collaboration, TechTrends, 2011, vol. 55, no. 1, pp. 32–36.

    Article  Google Scholar 

25. Astrakhantsev, N.A., Fedorenko, D.G., and Turdakov, D.Yu., Methods for automatic term recognition in domain-specific text collections: A survey, Program. Comput. Software, 2015, vol. 41, no. 6, pp. 336–349.

    Article  MathSciNet  Google Scholar 

26. Varlamov, M.I. and Turdakov, D.Yu., A survey of methods for the extraction of information from Web resources, Program. Comput. Software, 2016, vol. 42, no. 5, pp. 279–291.

    Article  Google Scholar 

27. Yatskov, A.K., Varlamov, M.I., and Turdakov, D.Yu., Extraction of data from mass media web sites, Program. Comput. Software, 2018, vol. 44, no. 5, pp. 344–352.

    Article  Google Scholar 

28. Sysoev, A.A., Andrianov, I.A., and Khadzhiiskaia, A.Y., Coreference resolution in Russian: State-of-the-art approaches application and evolvement, Proc. Int. Conf. Computational Linguistics and Intellectual Technologies Dialog, 2017, pp. 327–347.

Download references