Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Recommendation Through Mixtures of Heterogeneous Item Relationships   Recommender Systems have proliferated as general-purpose approaches to model
a wide variety of consumer interaction data. Specific instances make use of
signals ranging from user feedback, item relationships, geographic locality,
social influence (etc.). Typically, research proceeds by showing that making
use of a specific signal (within a carefully designed model) allows for
higher-fidelity recommendations on a particular dataset. Of course, the real
situation is more nuanced, in which a combination of many signals may be at
play, or favored in different proportion by individual users. Here we seek to
develop a framework that is capable of combining such heterogeneous item
relationships by simultaneously modeling (a) what modality of recommendation is
a user likely to be susceptible to at a particular point in time; and (b) what
is the best recommendation from each modality. Our method borrows ideas from
mixtures-of-experts approaches as well as knowledge graph embeddings. We find
that our approach naturally yields more accurate recommendations than
alternatives, while also providing intuitive `explanations' behind the
recommendations it provides.

37
The categories of this paper are: supr-con
22
The categories of this paper are: chao-dyn
15
The categories of this paper are: nucl-ex
7
The categories of this paper are: hep-th
11
The categories of this paper are: hep-lat
23
The categories of this paper are: solv-int
18
The categories of this paper are: econ
0
The categories of this paper are: hep-ph
26
The categories of this paper are: bayes-an
12
The categories of this paper are: nucl-th
3
The categories of this paper are: physics
16
The categories of this paper are: stat
28
The categories of this paper are: alg-geom
20
The categories of this paper are: acc-phys
13
The categories of this paper are: quant-ph
4
The categories of this paper are: cond-mat