Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Stuck? No worries!: Task-aware Command Recommendation and Proactive Help
  for Analysts   Data analytics software applications have become an integral part of the
decision-making process of analysts. Users of such a software face challenges
due to insufficient product and domain knowledge, and find themselves in need
of help. To alleviate this, we propose a task-aware command recommendation
system, to guide the user on what commands could be executed next. We rely on
topic modeling techniques to incorporate information about user's task into our
models. We also present a help prediction model to detect if a user is in need
of help, in which case the system proactively provides the aforementioned
command recommendations. We leverage the log data of a web-based analytics
software to quantify the superior performance of our neural models, in
comparison to competitive baselines.

31
The categories of this paper are: ao-sci
25
The categories of this paper are: patt-sol
9
The categories of this paper are: nlin
14
The categories of this paper are: math-ph
32
The categories of this paper are: atom-ph
13
The categories of this paper are: quant-ph
30
The categories of this paper are: q-alg
3
The categories of this paper are: physics
10
The categories of this paper are: q-bio
28
The categories of this paper are: alg-geom
29
The categories of this paper are: funct-an
19
The categories of this paper are: eess
33
The categories of this paper are: plasm-ph
20
The categories of this paper are: acc-phys
27
The categories of this paper are: comp-gas
17
The categories of this paper are: q-fin