Using co-views information to learn lecture recommendations

Haibin Liu, Sujatha Das, Dongwon Lee, Prasenjit Mitra, C. Lee Giles

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

1 Citation (Scopus)

Abstract

Content-based methods are commonly adopted for addressing the cold-start problem in recommender systems. In the cold-start scenario, usage information regarding an item and/or item preference information of a user is unavailable since the item or the user is new in the system. Thus collaborative filtering strategies cannot be employed but instead item-specific attributes or the user profile information are used to make recommendations. We focus on lecture recommendations for the data in videolectures.net that was made available as part of the ECML/PKDD Discovery Challenge. We propose the use of co-view information based on previously seen lecture pairs for learning the weights of lecture attributes for ranking lectures for the cold-start recommendation task. Co-viewed triplet and pair information is also used to estimate the probability that a lecture would be seen, given a set of previously seen lectures. Our results corroborate the effectiveness of using co-view information in learning lecture recommendations.

Original languageEnglish
Title of host publicationCEUR Workshop Proceedings
PublisherCEUR-WS
Pages71-82
Number of pages12
Volume770
Publication statusPublished - 2011
Externally publishedYes
EventECML/PKDD Discovery Challenge Workshop 2011, DCW 2011 - Athens, Greece
Duration: 5 Sep 20115 Sep 2011

Other

OtherECML/PKDD Discovery Challenge Workshop 2011, DCW 2011
CountryGreece
CityAthens
Period5/9/115/9/11

Fingerprint

Collaborative filtering
Recommender systems

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Liu, H., Das, S., Lee, D., Mitra, P., & Lee Giles, C. (2011). Using co-views information to learn lecture recommendations. In CEUR Workshop Proceedings (Vol. 770, pp. 71-82). CEUR-WS.

Using co-views information to learn lecture recommendations. / Liu, Haibin; Das, Sujatha; Lee, Dongwon; Mitra, Prasenjit; Lee Giles, C.

CEUR Workshop Proceedings. Vol. 770 CEUR-WS, 2011. p. 71-82.

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

Liu, H, Das, S, Lee, D, Mitra, P & Lee Giles, C 2011, Using co-views information to learn lecture recommendations. in CEUR Workshop Proceedings. vol. 770, CEUR-WS, pp. 71-82, ECML/PKDD Discovery Challenge Workshop 2011, DCW 2011, Athens, Greece, 5/9/11.
Liu H, Das S, Lee D, Mitra P, Lee Giles C. Using co-views information to learn lecture recommendations. In CEUR Workshop Proceedings. Vol. 770. CEUR-WS. 2011. p. 71-82
Liu, Haibin ; Das, Sujatha ; Lee, Dongwon ; Mitra, Prasenjit ; Lee Giles, C. / Using co-views information to learn lecture recommendations. CEUR Workshop Proceedings. Vol. 770 CEUR-WS, 2011. pp. 71-82
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