Below is a list of papers that might be interesting for Florian's diploma thesis or Skipforward in general.

This list is in no way complete or correct, as many papers have not been read, yet, and some were only skimmed. Feel free to add notes, if you found something interesting or useful.

Collaborative Filtering

Distributed Collaborative Filtering for Peer-to-Peer File Sharing Systems ​http://ict.ewi.tudelft.nl/pub/jun/sac06.pdf

Collaborative Filtering with Privacy via Factor Analysis ​http://www.cs.berkeley.edu/~jfc/'mender/sigir.pdf

Incremental Collaborative Filtering for Highly-Scalable Recommendation Algorithms ​http://citeseer.ist.psu.edu/papagelis05incremental.html

Item-based Collaborative Filtering Recommendation Algorithms ​http://citeseer.ist.psu.edu/sarwar01itembased.html

On User Recommendations Based on Multiple Cues ​http://citeseer.ist.psu.edu/dudek03user.html

Slope One Predictors for Online Rating-Based Collaborative Filtering ​http://citeseer.ist.psu.edu/lemire05slope.html

Trust in Recommender Systems ​http://portal.acm.org/ft_gateway.cfm?id=1040870&type=pdf&coll=GUIDE&dl=GUIDE&CFID=58637181&CFTOKEN=67159970

Trust-aware Collaborative Filtering for Recommender Systems ​http://sra.itc.it/people/massa/publications/massa_paolo_coopis_2004_trust-aware_Collaborative_Filtering_for_Recommender_Systems.pdf

Content-Based versus Collaborative Filtering ​http://www.is-frankfurt.de/uploads/down417.pdf

Content-based

• Content-based, Collaborative Recommendation (​Link)
• Improving Interoperability using Query Interpretation in Semantic Vector Spaces (​Link)
  • The aim of this paper is providing some interoperability between several ontologies for queries. However, as many of our Features also are interrelated/similar, even in the same ontology, we need a similar query expansion technique for computing Feature/Item similarity.

Context

Using Semantic Cues for Contextual Recommendation (1997) ​http://clinton.cs.depaul.edu/upe/CTIRS/papers/Ramezani.pdf