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

166views Control Systems» more RECSYS 2010»

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

1 years 5 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	166	Multiverse recommendation: n-dimensional tensor factorization for context-aware collaborative filtering	claim
2	126	Collaborative filtering via euclidean embedding	claim
3	118	Recommending twitter users to follow using content and collaborative filtering approaches	claim
4	115	Group recommendations with rank aggregation and collaborative filtering	claim
5	109	A lightweight privacy preserving SMS-based recommendation system for mobile users	claim
6	107	Beyond accuracy: evaluating recommender systems by coverage and serendipity	claim
7	102	Automatically building research reading lists	claim
8	102	Recommending based on rating frequencies	claim
9	101	Eye-tracking product recommenders' usage	claim
10	100	Incremental collaborative filtering via evolutionary co-clustering	claim
11	100	Affiliation recommendation using auxiliary networks	claim
12	100	List-wise learning to rank with matrix factorization for collaborative filtering	claim
13	98	Interactive recommendations in social endorsement networks	claim
14	97	Workshop on user-centric evaluation of recommender systems and their interfaces	claim
15	92	Global budgets for local recommendations	claim
16	91	Content-based recommendation in social tagging systems	claim
17	88	On the real-time web as a source of recommendation knowledge	claim
18	87	RECON: a reciprocal recommender for online dating	claim
19	86	Nantonac collaborative filtering: a model-based approach	claim
20	80	Merging multiple criteria to identify suspicious reviews	claim

Sciweavers

Explore & Download

Productivity Tools

Document Tools

Image Tools

Sciweavers