Science and Technology Production
Congress
Authorship
ANTONELA TOMMASEL
;
GODOY, DANIELA LIS
Date
2015
Publishing House and Editing Place
IJCAI
Summary
Information provided by the agent in
SIGEVA
The accurate suggestion of interesting friends arises as a crucial issue in recommendation systems. The selection of friends or followees attends to several reasons whose importance might differ according to the characteristics and preferences of each user. Furthermore, those preferences might also change over time. Consequently, understanding how friends or followees are selected emerges as a key design factor of strategies for personalised recommendations. This work argues that the criteria f...
The accurate suggestion of interesting friends arises as a crucial issue in recommendation systems. The selection of friends or followees attends to several reasons whose importance might differ according to the characteristics and preferences of each user. Furthermore, those preferences might also change over time. Consequently, understanding how friends or followees are selected emerges as a key design factor of strategies for personalised recommendations. This work argues that the criteria for recommending followees needs to be adapted and combined according to each user´s behaviour, preferences, and characteristics. A technique is proposed for adapting such criteria to the characteristics of the previously selected followees. Moreover, the criteria can evolve over time to adapt to changes in user behaviour, and not only considers the similarity but also the novelty or diversity of the potential followees. Experimental evaluation showed that the proposed technique improved precision results regarding static weighting strategies. Furthermore, results highlighted the importance of adapting to the changes of user preferences over time.
Show more
Show less
Key Words
FOLLOWEE RECOMMENDATIONRECOMMENDER SYSTEMSSOCIAL NETWORKS