Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A novel method for recommendation systems using invasive weed
  optimization   One of the popular approaches in recommendation systems is Collaborative
Filtering (CF). The most significant step in CF is choosing the appropriate set
of users. For this purpose, similarity measures are usually used for computing
the similarity between a specific user and the other users. This paper proposes
a new invasive weed optimization (IWO) based CF approach that uses users'
context to identify important and effective users set. By using a newly defined
similarity measure based on both rating values and a measure values called
confidence, the proposed approach calculates the similarity between users and
thus identifies and filters the most similar users to a specific user. It then
uses IWO to calculate the importance degree of users and finally, by using the
identified important users and their importance degrees it predicts unknown
ratings. To evaluate the proposed method, several experiments have been
performed on two known real world datasets and the results show that the
proposed method improves the state of the art results up to 15% in terms of
Root Mean Square Error (RMSE) and Mean Absolute Error (MAE).

21
The categories of this paper are: adap-org
34
The categories of this paper are: chem-ph
8
The categories of this paper are: hep-ex
28
The categories of this paper are: alg-geom
4
The categories of this paper are: cond-mat
37
The categories of this paper are: supr-con
6
The categories of this paper are: astro-ph
20
The categories of this paper are: acc-phys
15
The categories of this paper are: nucl-ex
5
The categories of this paper are: gr-qc
25
The categories of this paper are: patt-sol
22
The categories of this paper are: chao-dyn
31
The categories of this paper are: ao-sci
13
The categories of this paper are: quant-ph
32
The categories of this paper are: atom-ph
11
The categories of this paper are: hep-lat