Dealing with the new user cold-start problem in recommender systems: A comparative review
The
Recommender System (RS) is an efficient tool for decision makers that assists
in the selection of appropriate items according to their preferences and interests.
This
system has been applied to various domains to personalize applications by
recommending items such as books, movies, songs, restaurants, news articles and
jokes, among others.
An
important issue for the RS that has greatly captured the attention of
researchers is the new user cold-start problem, which occurs when there is a
new user that has been registered to the system and no prior rating of this
user is found in the rating table. In this paper, we first present a
classification that divides the relevant studies addressing the new user
cold-start problem into three major groups and summarize their advantages and
disadvantages in a tabular format.
Next,
some typical algorithms of these groups, such as MIPFGWC-CS, NHSM, FARAMS and
HU–FCF, are described.
Finally,
these algorithms are implemented and validated on some benchmark RS datasets
under various settings of the new user cold start.
The
experimental results indicate that NHSM achieves better accuracy and
computational time than the relevant methods
Title:
| Dealing with the new user cold-start problem in recommender systems: A comparative review | |
| Authors: | Le, Hoang Son |
| Keywords: | Collaborative filtering Recommender systems New user cold start |
| Issue Date: | 2016 |
| Publisher: | H. : ĐHQGHN |
| Citation: | ISIKNOWLEDGE |
| Abstract: | The Recommender System (RS) is an efficient tool for decision makers that assists in the selection of appropriate items according to their preferences and interests. This system has been applied to various domains to personalize applications by recommending items such as books, movies, songs, restaurants, news articles and jokes, among others. An important issue for the RS that has greatly captured the attention of researchers is the new user cold-start problem, which occurs when there is a new user that has been registered to the system and no prior rating of this user is found in the rating table. In this paper, we first present a classification that divides the relevant studies addressing the new user cold-start problem into three major groups and summarize their advantages and disadvantages in a tabular format. Next, some typical algorithms of these groups, such as MIPFGWC-CS, NHSM, FARAMS and HU–FCF, are described. Finally, these algorithms are implemented and validated on some benchmark RS datasets under various settings of the new user cold start. The experimental results indicate that NHSM achieves better accuracy and computational time than the relevant methods |
| Description: | INFORMATION SYSTEMS Volume: 58 Pages: 87-104 ; TNS06461 |
| URI: | http://repository.vnu.edu.vn/handle/VNU_123/27813 |
| Appears in Collections: | Bài báo của ĐHQGHN trong Web of Science |
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