Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: PIPE: Personalizing Recommendations via Partial Evaluation   It is shown that personalization of web content can be advantageously viewed
as a form of partial evaluation --- a technique well known in the programming
languages community. The basic idea is to model a recommendation space as a
program, then partially evaluate this program with respect to user preferences
(and features) to obtain specialized content. This technique supports both
content-based and collaborative approaches, and is applicable to a range of
applications that require automatic information integration from multiple web
sources. The effectiveness of this methodology is illustrated by two example
applications --- (i) personalizing content for visitors to the Blacksburg
Electronic Village (http://www.bev.net), and (ii) locating and selecting
scientific software on the Internet. The scalability of this technique is
demonstrated by its ability to interface with online web ontologies that index
thousands of web pages.

17
The categories of this paper are: q-fin
0
The categories of this paper are: hep-ph
37
The categories of this paper are: supr-con
22
The categories of this paper are: chao-dyn
30
The categories of this paper are: q-alg
28
The categories of this paper are: alg-geom
13
The categories of this paper are: quant-ph
16
The categories of this paper are: stat
11
The categories of this paper are: hep-lat
21
The categories of this paper are: adap-org
10
The categories of this paper are: q-bio
3
The categories of this paper are: physics
2
The categories of this paper are: math
31
The categories of this paper are: ao-sci
25
The categories of this paper are: patt-sol
26
The categories of this paper are: bayes-an