A content-based eResource recommender system to augment eBook-based learning

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8271 LNAI, Issue , 2013, Pages 257-268

  Singh, Vivek Kumar ^a   Piryani, Rajesh ^a   Uddin, Ashraf ^a   Pinto, David ^b  

^a SOUTH ASIAN UNIVERSITY   (India)

^b BENEMÉRITA UNIVERSIDAD AUTÓNOMA DE PUEBLA   (Mexico)

Author keywords

Concept Extraction; Learning Concepts; RDF; Recommender System; Semantic Annotation

Indexed keywords

CONCEPT EXTRACTION; CONTENT-BASED RECOMMENDATION; INTEGRATED INTERFACE; LEARNING CONCEPTS; RDF; SEMANTIC ANNOTATIONS; SENTIMENT ANALYSIS; TEXTUAL CONTENT;

ARTIFICIAL INTELLIGENCE; ELECTRONIC PUBLISHING; SEMANTIC WEB; SEMANTICS; WORLD WIDE WEB;

RECOMMENDER SYSTEMS;

EID: 84892421276     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-44949-9_24     Document Type: Conference Paper

References (10)

1. Relan, M., Khurana, S., Singh, V.K.: Qualitative Evaluation and Improvement Suggestions for eBooks using Text Analytics Algorithms. In: Klinov, P., et al. (eds.) ICECCS 2013. CCIS, vol. 389, pp. 324-335. Springer, Heidelberg (2013)
2. Khurana, S., Relan, M., Singh, V.K.: A Text Analytics-based Approach to Compute Coverage, Readability and Comprehensibility of eBooks. In: Proceedings of the 6th International Conference on Contemporary Computing, Noida, India. IEEE Xplore (August 2013)
3. Agrawal, R., Gollapudi, S., Kannan, A., Kenthapadi, K.: Data Mining for Improving Textbooks. ACM SIGKDD Explorations Newsletter 13(2), 7-19 (2011)
4. Justeson, J.S., Katz, S.M.: Technical Terminology: Some Linguistic Properties of an Algorithm for Identification in Text. Natural Language Engineering 1(1) (1995)
5. Agrawal, R., Gollapudi, S., Kenthapadi, K., Srivastava, N., Velu, R.: Enriching textbooks through data mining. In: ACM DEV (2010)
6. Uddin, A., Piryani, R., Singh, V.K.: Information and Relation Extraction for Semantic Annotation of eBook Texts. In: Thampi, S.M., Abraham, A., Pal, S.K., Rodriguez, J.M.C., et al. (eds.) Recent Advances in Intelligent Informatics. AISC, vol. 235, pp. 215-226. Springer, Heidelberg (2014)
7. Adomavicius, G., Tuzhilin, A.: Toward the next generation of Recommender Systems: A Survey of the state-of-the-art and possible extensions. IEEE Transactions on Knowledge and Data Engineering 17(6) (2005)
8. Singh, V.K., Mukherjee, M., Mehta, G.K.: Combining a Content Filtering Heuristic and Sentiment Analysis for Movie Recommendations. In: Venugopal, K.R., Patnaik, L.M. (eds.) ICIP 2011. CCIS, vol. 157, pp. 659-664. Springer, Heidelberg (2011)
9. Singh, V.K., Piryani, R., Uddin, A.: Sentiment Analysis of Movie Reviews and Blog Posts: Evaluating SentiWordNet with different Linguistic Features and Scoring Schemes. In: Proceedings of IEEE 3rd International Advanced Computing Conference, Ghaziabad, India, pp. 893-898. IEEE Xplore (2013)
10. Singh, V.K., Piryani, R., Uddin, A., Waila, P.: Sentiment Analysis of Movie Reviews: A new Feature-based Heuristic for Aspect-level Sentiment Classification. In: Proceedings of International Multi Conference on Automation, Computing, Control, Communication and Compressed Sensing, Kerala, India, pp. 712-717. IEEE Xplore (2013)