Dealing with Pure New User Cold-Start Problem in Recommendation System Based on Linked Open Data and Social Network Features

Table 13

Evaluation parameters comparison.

S. no.	Publication	Evaluation parameters
		Precision	Recall	F1 measure	MAE	MMR	Coverage	Others
(1)	Addressing the user cold start with cross-domain collaborative filtering: exploiting item metadata in matrix factorization [5]	Yes	No	No	No	Yes	Yes	Yes
(2)	Latent factor representations for cold-start video recommendation [6]	No	No	No	No	Yes	No	Yes
(3)	Using linked data to build open, collaborative recommender systems [12]	Yes	Yes	No	No	No	No	No
(4)	An effective recommender algorithm for cold-start problem in academic social networks [7]	Yes	Yes	Yes	No	No	No	No
(5)	A method to solve cold-start problem in recommendation system based on social network sub-community and ontology decision model [8]	No	No	No	Yes	No	No	No
(6)	Exploring social network information for solving cold start in product recommendation [9]	No	No	No	No	Yes	No	Yes
(7)	Using semantic web to reduce the cold-start problems in recommendation systems [47]	No	No	No	Yes	No	Yes	No
(8)	Proposed approach	Yes	Yes	Yes	Yes	No	No	Yes