Solving the cold-start problem in recommender systems with social tags

By Zi-ke Zhang, Chuang Liu, Yi-Cheng Zhang, Tao Zhou. Expert systems with applications, 2010

360 citations recorded by the source corpus.

Based on the user-tag-object tripartite graphs, we propose a recommendation algorithm that makes use of social tags. Besides its low cost of computational time, the experimental results on two real-world data sets, Del.icio.us and MovieLens, show that it can enhance the algorithmic accuracy and diversity. Especially, it provides more personalized recommendation when the assigned tags belong to more diverse topics. The proposed algorithm is particularly effective for small-degree objects, which reminds us of the well-known cold-start problem in recommender systems. Further empirical study shows that the proposed algorithm can significantly solve this problem in social tagging systems with heterogeneous object degree.

Subfields: Computer Vision and Pattern Recognition, Information Systems

View Paper: https://www.semanticscholar.org/paper/393e8490a87444e58d08596cf4ba98ec0e8f7c31

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In Computer Vision and Pattern Recognition

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Citations in the corpus

Knowledge-based recommendation: a review of ontology-based recommender systems for e-learning (2017, background): “Other knowledge structures include knowledge vectors (Rodrigues et al. 2012), case-based reasoning (Gutiérrez et al. 2012), social knowledge (Carrer-Neto et al. 2012) and constraint-based reasoning (Felfernig and Burke 2008).”
Hybrid recommender systems: A systematic literature review (2017, background): “Cold-start This problem is heavily addressed in the literature [20,21] and has to do with recom-”
Facing the cold start problem in recommender systems (2014, methodology): “A recommendation algorithm based on social tags is proposed in Zhang et al. (2010).”
Link Prediction in Complex Networks: A Survey (2010, background): “Ignoring the connections within a class of nodes, the prediction of links between users and objects has already been investigated [167,168].”
Recommender Systems (2016, neutral): “A solution to the cold-start problem with social tags is discussed in [672].”
Recommender Systems (2012, background): “Tags therefore represent a simple yet promising tool to provide reasonable recommendations and solve some outstanding problems in recommender systems, e.g. the cold-start problem [271].”