%0 Journal Article %A ZHANG Xu %A SUN Fuzhen %A FANG Chun %A GUO Rui %T Collaborative filtering algorithm with stability of interest and time-sensitive %D 2018 %R 10.3778/j.issn.1002-8331.1701-0332 %J Computer Engineering and Applications %P 161-165 %V 54 %N 11 %X In terms of the phenomenon of object popularity bias, a user interest feature similarity model based on item popularity is proposed by introducing object popularity into user interest modeling. What’s more, in terms of  the problem that the traditional model does not take the stability of user interest and the difficulty of capturing user interest in real time into consideration, a similarity model with time-sensitive and interest-stability is proposed, which is based on introducing time-sensitive and interest-stability during calculating user interest similarity. Finally, a novel IPSTS algorithm model is proposed by using the weighting factors to linearly weight the two similarity models. Experiments show that the algorithm can significantly reduce the Mean Absolute Error(MAE) and Root Mean Square Error(RMSE) compared with the traditional collaborative filtering algorithm, and can also excavate long tail items and relieve phenomenon of popularity bias. %U http://cea.ceaj.org/EN/10.3778/j.issn.1002-8331.1701-0332