◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Joel R. Bock

2 papers hereh-index 8931 citations24 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.IR1
  • q-fin.ST1

identity via Semantic Scholar / OpenAlex

most citedAdversarial learning for product recommendation

9 citations · 9 across the 2 of their papers we have counts for

collaborators

2 papers

q-fin.ST2024

Generating long-horizon stock "buy" signals with a neural language model

Joel R. Bock

This paper describes experiments on fine-tuning a small language model to generate forecasts of long-horizon stock price movements. Inputs to the model are narrative text from 10-K…

cs.IR2020★ 9 cited

Adversarial learning for product recommendation

Joel R. Bock, Akhilesh Maewal

Product recommendation can be considered as a problem in data fusion-- estimation of the joint distribution between individuals, their behaviors, and goods or services of interest.…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.