A comparative analysis of recommender systems based on item aspect opinions extracted from user reviews

Author:

Hernández-Rubio María,Cantador IvánORCID,Bellogín AlejandroORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Human-Computer Interaction,Education

Reference89 articles.

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2. Adomavicius, G., Tuzhilin, A.: Context-aware recommender systems. In: Ricci, F., Rokach, L., Shapira, B., Kantor, P.B. (eds.). Recommender Systems Handbook, pp. 191–226. Springer (2015)

3. Adomavicius, G., Tuzhilin, A.: Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions. IEEE Trans. Knowl. Data Eng. 17(6), 734–749 (2005)

4. Agrawal, R., Srikant, R., et al.: Fast algorithms for mining association rules. In: Proceedings of the 20th International Conference on Very Large Data Bases, VLDB’94, pp. 487–499 (1994)

5. Bafna, K., Toshniwal, D.: Feature based summarization of customers reviews of online products. Procedia Comput. Sci. 22, 142–151 (2013)

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