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Copy this Empirical Analysis of Predictive Algorithms for Collaborativ..
Collaborative filtering or recommender systems use a database about user preferences to predict additional topics or products a new user might like. In this paper we describe several algorithms designed for this task, including techniques based on correla
by nikolasco 2007-01-01 20:53 collaborative · filtering · paper · pdf
http://citeseer.ist.psu.edu/breese98empirical.html - cached - mail it - history
Copy this Lightweight Collaborative Filtering Method for Binary Encoded Data
A lightweight method for collaborative filtering is described that processes binary encoded data. Examples of transactions that can be described in this manner are items purchased by customers or web pages visited by individuals. As with all collaborative
by nikolasco 2007-01-01 20:53 collaborative · filtering · paper · pdf
http://citeseer.ist.psu.edu/weiss01lightweight.html - cached - mail it - history
Copy this Item-based Collaborative Filtering Recommendation Algorithms
Recommender systems apply knowledge discovery techniques to the problem of making personalized recommendations for information, products or services during a live interaction. These systems, especially the k-nearest neighbor collaborative filtering based
by nikolasco 2007-01-01 20:53 collaborative · filtering · paper · pdf
http://citeseer.ist.psu.edu/sarwar01itembased.html - cached - mail it - history
Copy this Scale and Translation Invariant Collaborative Filtering Systems
Collaborative filtering systems are prediction algorithms over sparse data sets of user preferences. We modify a wide range of state-of-the-art collaborative filtering systems to make them scale and translation invariant and generally improve their accura
by nikolasco 2007-01-01 20:53 collaborative · filtering · paper · pdf
http://citeseer.ist.psu.edu/664218.html - cached - mail it - history
Copy this A User-Item Relevance Model for Log-based Collaborative Filtering
Implicit acquisition of user preferences makes log-based collaborative filtering favorable in practice to accomplish recommendations. In this paper, we follow a formal approach in text retrieval to re-formulate the problem.
by nikolasco 2007-01-01 20:53 collaborative · filtering · paper · pdf
http://ict.ewi.tudelft.nl/pub/jun/ecir06.pdf - cached - mail it - history
Copy this Slope One Predictors for Online Rating-Based Collaborative Filtering
Rating-based collaborative filtering is the process of predicting how a user would rate a given item from other user ratings. We propose three related slope one schemes with predictors of the form f (x) = x + b, which precompute the average difference bet
by nikolasco 2007-01-01 20:53 collaborative · filtering · paper · pdf
http://citeseer.ist.psu.edu/lemire05slope.html - cached - mail it - history
Copy this Trust in Recommender Systems
Specifically we propose that the trustworthiness of users must be an important consideration.We present two computational models of trust and show how they can be readily incorporated into standard collaborative filtering frameworks in a variety of ways.
by nikolasco 2007-01-01 20:53 collaborative · filtering · paper · pdf
http://portal.acm.org/ft_gateway.cfm?id=1040870&type=pdf - cached - mail it - history
Copy this Generating Predictive Movie Recommendations from Trust in Social Networks
In this work, we are particularly interested in trust relationships, and how they can be used in designing interfaces. In this paper, we present FilmTrust, a website that uses trust in web-based social networks to create predictive movie recommendations.
by nikolasco 2007-01-01 20:53 collaborative · filtering · paper · pdf
http://trust.mindswap.org/papers/iTrust06.pdf - cached - mail it - history
Copy this An algorithmic framework for performing collaborative filtering
by nikolasco 2007-01-01 20:53 collaborative · filtering · paper · pdf
http://portal.acm.org/citation.cfm?id=312682&dl=ACM&coll=portal - cached - mail it - history
Copy this FilmTrust: Movie Recommendations using Trust in Web-based Social Networks
In this paper, we present FilmTrust, a website that integrates Semantic Web-based social networks, augmented with trust, to create predictive movie recommendations. We show how these recommendations are more accurate than other techniques in certain cases
by nikolasco 2007-01-01 20:53 collaborative · filtering · paper · pdf
http://trust.mindswap.org/papers/CCNC2006.pdf - cached - mail it - history
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