Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Recommender System based on Idiotypic Artificial Immune Networks   The immune system is a complex biological system with a highly distributed,
adaptive and self-organising nature. This paper presents an Artificial Immune
System (AIS) that exploits some of these characteristics and is applied to the
task of film recommendation by Collaborative Filtering (CF). Natural evolution
and in particular the immune system have not been designed for classical
optimisation. However, for this problem, we are not interested in finding a
single optimum. Rather we intend to identify a sub-set of good matches on which
recommendations can be based. It is our hypothesis that an AIS built on two
central aspects of the biological immune system will be an ideal candidate to
achieve this: Antigen-antibody interaction for matching and idiotypic
antibody-antibody interaction for diversity. Computational results are
presented in support of this conjecture and compared to those found by other CF
techniques.

25
The categories of this paper are: patt-sol
8
The categories of this paper are: hep-ex
33
The categories of this paper are: plasm-ph
17
The categories of this paper are: q-fin
10
The categories of this paper are: q-bio
7
The categories of this paper are: hep-th
24
The categories of this paper are: dg-ga
22
The categories of this paper are: chao-dyn
20
The categories of this paper are: acc-phys
15
The categories of this paper are: nucl-ex
21
The categories of this paper are: adap-org
3
The categories of this paper are: physics
30
The categories of this paper are: q-alg
26
The categories of this paper are: bayes-an
31
The categories of this paper are: ao-sci
12
The categories of this paper are: nucl-th