A survey of collaborative filtering techniques
Citations
2,639 citations
Cites background from "A survey of collaborative filtering..."
...Collaborative Filtering [3,94,92,51,212] allows users to give ratings about a set of elements (e....
[...]
...Su and Khoshgoftaar [212] presents a survey of CF techniques....
[...]
...The rest of this section deal is dealt with the concepts and research in the two lines considered previously: Filtering of social information and content filtering....
[...]
...The pure CBF has several shortcomings [16,176,212]:...
[...]
...Breese et al. [43] evaluated the predictive accuracy of different algorithms for CF; later, the classical paper [94] describes the base for evaluating the Collaborative Filtering RS....
[...]
2,530 citations
Cites background from "A survey of collaborative filtering..."
...tering 2 framework [30]. 2 Collaborative filtering is the process of filtering for information or patterns using techniques involving collaboration among multiple agents, viewpoints, data sources, etc. [29] 5 Node similarity can be defined by using the essential attributes of nodes: two nodes are considered to be similar if they have many common features [31]. However, the attributes of nodes are general...
[...]
2,469 citations
Cites background from "A survey of collaborative filtering..."
...YouTube is the world’s largest platform for creating, sharing and discovering video content....
[...]
2,017 citations
References
37,989 citations
"A survey of collaborative filtering..." refers background in this paper
...By starting with an initial policy π0(s) = arg maxa∈AR(s, a), computing the reward value function Vi(s) based on the previous policy, and updating the policy with the new value function at each step, the iterations will converge to an optimal policy [90, 91]....
[...]
30,570 citations
"A survey of collaborative filtering..." refers methods in this paper
...A user rating profile (URP) model [97] combines the intuitive appeal of the multinomial mixture model and aspect model [83], with the high-level generative semantics of Latent Dirichlet Allocation (LDA, a generative probabilistic model, in which each item is modeled as a finite mixture over an underlying set of users) [99]....
[...]
25,546 citations
24,320 citations
"A survey of collaborative filtering..." refers methods in this paper
...A commonly-used partitioning method is k-means, proposed by MacQueen [78], which has two main advantages: relative efficiency and easy implementation....
[...]