Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Hierarchical Composable Optimization of Web Pages   The process of creating modern Web media experiences is challenged by the
need to adapt the content and presentation choices to dynamic real-time
fluctuations of user interest across multiple audiences. We introduce FAME - a
Framework for Agile Media Experiences - which addresses this scalability
problem. FAME allows media creators to define abstract page models that are
subsequently transformed into real experiences through algorithmic
experimentation. FAME's page models are hierarchically composed of simple
building blocks, mirroring the structure of most Web pages. They are resolved
into concrete page instances by pluggable algorithms which optimize the pages
for specific business goals. Our framework allows retrieving dynamic content
from multiple sources, defining the experimentation's degrees of freedom, and
constraining the algorithmic choices. It offers an effective separation of
concerns in the media creation process, enabling multiple stakeholders with
profoundly different skills to apply their crafts and perform their duties
independently, composing and reusing each other's work in modular ways.

9
The categories of this paper are: nlin
8
The categories of this paper are: hep-ex
30
The categories of this paper are: q-alg
27
The categories of this paper are: comp-gas
37
The categories of this paper are: supr-con
5
The categories of this paper are: gr-qc
7
The categories of this paper are: hep-th
31
The categories of this paper are: ao-sci
23
The categories of this paper are: solv-int
3
The categories of this paper are: physics
17
The categories of this paper are: q-fin
21
The categories of this paper are: adap-org
28
The categories of this paper are: alg-geom
29
The categories of this paper are: funct-an
25
The categories of this paper are: patt-sol
16
The categories of this paper are: stat