A recommendation method based on contents and user feedback

So Ryoung Kim, Sang Min Choi, Lae Hyun Kim, Yo Sub Han

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Nowadays, user is provided with many contents, which the previous search engines failed to find, thanks to various recommendation systems. These recommendation algorithms are usually carried out using collaborating filtering algorithm, which predicts user's preference, or contents based algorithm, which calculates on the basis of the similarity between contents. In addition to the above algorithms, many algorithms using user's context have been recently developed. Based on the previous researches, this paper proposes a new system to categorize contents information into various factors and learn user's selection. First, we divide information of items into four types and make user preference pattern using each information type. The information types can express more various user preferences and user preference pattern can calmly deal with user preference. Then, we calculate the score for recommendation using user preference pattern. That is, our system is constructed on these three modules: item analyzing module, user pattern analyzing module and recommendation score module. Lastly, we provide entire system flow to show how they work.

Original languageEnglish
Title of host publicationACHI 2012 - 5th International Conference on Advances in Computer-Human Interactions
Pages251-255
Number of pages5
Publication statusPublished - 2012 Dec 1
Event5th International Conference on Advances in Computer-Human Interactions, ACHI 2012 - Valencia, Spain
Duration: 2012 Jan 302012 Feb 4

Publication series

NameACHI 2012 - 5th International Conference on Advances in Computer-Human Interactions

Other

Other5th International Conference on Advances in Computer-Human Interactions, ACHI 2012
CountrySpain
CityValencia
Period12/1/3012/2/4

Fingerprint

Feedback
Recommender systems
Search engines

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction

Cite this

Kim, S. R., Choi, S. M., Kim, L. H., & Han, Y. S. (2012). A recommendation method based on contents and user feedback. In ACHI 2012 - 5th International Conference on Advances in Computer-Human Interactions (pp. 251-255). (ACHI 2012 - 5th International Conference on Advances in Computer-Human Interactions).
Kim, So Ryoung ; Choi, Sang Min ; Kim, Lae Hyun ; Han, Yo Sub. / A recommendation method based on contents and user feedback. ACHI 2012 - 5th International Conference on Advances in Computer-Human Interactions. 2012. pp. 251-255 (ACHI 2012 - 5th International Conference on Advances in Computer-Human Interactions).
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title = "A recommendation method based on contents and user feedback",
abstract = "Nowadays, user is provided with many contents, which the previous search engines failed to find, thanks to various recommendation systems. These recommendation algorithms are usually carried out using collaborating filtering algorithm, which predicts user's preference, or contents based algorithm, which calculates on the basis of the similarity between contents. In addition to the above algorithms, many algorithms using user's context have been recently developed. Based on the previous researches, this paper proposes a new system to categorize contents information into various factors and learn user's selection. First, we divide information of items into four types and make user preference pattern using each information type. The information types can express more various user preferences and user preference pattern can calmly deal with user preference. Then, we calculate the score for recommendation using user preference pattern. That is, our system is constructed on these three modules: item analyzing module, user pattern analyzing module and recommendation score module. Lastly, we provide entire system flow to show how they work.",
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Kim, SR, Choi, SM, Kim, LH & Han, YS 2012, A recommendation method based on contents and user feedback. in ACHI 2012 - 5th International Conference on Advances in Computer-Human Interactions. ACHI 2012 - 5th International Conference on Advances in Computer-Human Interactions, pp. 251-255, 5th International Conference on Advances in Computer-Human Interactions, ACHI 2012, Valencia, Spain, 12/1/30.

A recommendation method based on contents and user feedback. / Kim, So Ryoung; Choi, Sang Min; Kim, Lae Hyun; Han, Yo Sub.

ACHI 2012 - 5th International Conference on Advances in Computer-Human Interactions. 2012. p. 251-255 (ACHI 2012 - 5th International Conference on Advances in Computer-Human Interactions).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Kim SR, Choi SM, Kim LH, Han YS. A recommendation method based on contents and user feedback. In ACHI 2012 - 5th International Conference on Advances in Computer-Human Interactions. 2012. p. 251-255. (ACHI 2012 - 5th International Conference on Advances in Computer-Human Interactions).