Version 5 (modified by fmittag, 16 years ago) (diff) |
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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.
Overview
A Survey of Trust and Reputation Systems for Online Service Provision Link
Collaborative Filtering
(in order of estimated relevance)
Incremental Collaborative Filtering for Highly-Scalable Recommendation Algorithms
Link
user-similarity, Pearson-correlation, incremental algorithm
Trust-aware Collaborative Filtering for Recommender Systems
Link
Pearson-correlation, explicit trust, web of trust, decentralized
On User Recommendations Based on Multiple Cues
Link
user similarity, Pearson-correlation, semantic features, user-specified features
Item-based Collaborative Filtering Recommendation Algorithms
Link
comparison of item-based recommendation algorithms (performance, quality, similarity) using Pearson-correlation, cosine-similarity, regression
Trust in Recommender Systems Link
Content-Based versus Collaborative Filtering
Link
overview, references (Seminararbeit)
Slope One Predictors for Online Rating-Based Collaborative Filtering
Link
slope one predictor, quick cold-start
Distributed Collaborative Filtering for Peer-to-Peer File Sharing Systems
Link
distributed collaborative filtering, p2p, bayesian
Collaborative Filtering with Privacy via Factor Analysis
Link
expectation maximization (EM), privacy
Content-based
Content-based, Collaborative Recommendation (Link)
no algorithms given, irrelevant
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)
Link
Pearson-correlation