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SAC
2008
ACM
13 years 8 months ago
Whom should I trust?: the impact of key figures on cold start recommendations
Generating adequate recommendations for newcomers is a hard problem for a recommender system (RS) due to lack of detailed user profiles and social preference data. Empirical evide...
Patricia Victor, Chris Cornelis, Ankur Teredesai, ...
INFOCOM
2011
IEEE
13 years 11 days ago
Bayesian-inference based recommendation in online social networks
—In this paper, we propose a Bayesian-inference based recommendation system for online social networks. In our system, users share their content ratings with friends. The rating ...
Xiwang Yang, Yang Guo, Yong Liu
RECSYS
2009
ACM
14 years 3 months ago
Rating aggregation in collaborative filtering systems
Recommender systems based on user feedback rank items by aggregating users’ ratings in order to select those that are ranked highest. Ratings are usually aggregated using a weig...
Florent Garcin, Boi Faltings, Radu Jurca, Nadine J...
HT
2003
ACM
14 years 2 months ago
"Common" web paths in a group adaptive system
In this paper we describe how we use a group of users’ accesses and interactions with web pages to discover and recommend relevant common navigation paths to other users. We col...
Maria Barra, Delfina Malandrino, Vittorio Scarano
ICSE
2009
IEEE-ACM
14 years 1 months ago
A-SCORE: Automatic software component recommendation using coding context
Reusing software components (e.g. classes or modules) improves software quality and developer’s productivity. Unfortunately, developers may miss many reusing opportunities since...
Ryuji Shimada, Yasuhiro Hayase, Makoto Ichii, Mako...