RECSYS 2010 - PDF Preprint Papers

RECSYS 2010 ACM Conference On Recommender Systems

Teaser Browsing | Click Here

Title Browsing | Click Here

Wall of Fame | Most Viewed RECSYS-2010 Paper

click to vote

RECSYS
2010
ACM

330views Control Systems» more RECSYS 2010»

Multiverse recommendation: n-dimensional tensor factorization for context-aware collaborative filtering

13 years 11 months ago

Download xavier.amatriain.net

Context has been recognized as an important factor to consider in personalized Recommender Systems. However, most model-based Collaborative Filtering approaches such as Matrix Fac...

Alexandros Karatzoglou, Xavier Amatriain, Linas Ba...

claim paper

Read More »

Disclaimer and Copyright Notice

Sciweavers respects the rights of all copyright holders and in this regard, authors are only allowed to share a link to their preprint paper on their own website. Every contribution is associated with a desciptive image. It is the sole responsibility of the authors to ensure that their posted image is not copyright infringing. This service is compliant with IEEE copyright.

Id	Views	Title	Status

1	330	Multiverse recommendation: n-dimensional tensor factorization for context-aware collaborative filtering	claim
2	315	Automatically building research reading lists	claim
3	302	Collaborative filtering via euclidean embedding	claim
4	259	Beyond accuracy: evaluating recommender systems by coverage and serendipity	claim
5	259	Group recommendations with rank aggregation and collaborative filtering	claim
6	254	Affiliation recommendation using auxiliary networks	claim
7	249	Recommending twitter users to follow using content and collaborative filtering approaches	claim
8	239	Eye-tracking product recommenders' usage	claim
9	239	List-wise learning to rank with matrix factorization for collaborative filtering	claim
10	223	Interactive recommendations in social endorsement networks	claim
11	222	Global budgets for local recommendations	claim
12	218	Incremental collaborative filtering via evolutionary co-clustering	claim
13	207	A lightweight privacy preserving SMS-based recommendation system for mobile users	claim
14	203	RECON: a reciprocal recommender for online dating	claim
15	199	Recommending based on rating frequencies	claim
16	197	Content-based recommendation in social tagging systems	claim
17	193	Workshop on user-centric evaluation of recommender systems and their interfaces	claim
18	188	Nantonac collaborative filtering: a model-based approach	claim
19	183	Merging multiple criteria to identify suspicious reviews	claim
20	173	On the real-time web as a source of recommendation knowledge	claim

Sciweavers

Explore & Download

Productivity Tools

Document Tools

Image Tools

Sciweavers