Pith. sign in

REVIEW 1 cited by

(Vector) Space is Not the Final Frontier: Product Search as Program Synthesis

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2304.11473 v2 pith:JDKVWRRB submitted 2023-04-22 cs.IR cs.CLcs.LG

classification cs.IRcs.CLcs.LG
keywords productprogramretrievalsearchsignificantspacesynthesisvector
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

As ecommerce continues growing, huge investments in ML and NLP for Information Retrieval are following. While the vector space model dominated retrieval modelling in product search - even as vectorization itself greatly changed with the advent of deep learning -, our position paper argues in a contrarian fashion that program synthesis provides significant advantages for many queries and a significant number of players in the market. We detail the industry significance of the proposed approach, sketch implementation details, and address common objections drawing from our experience building a similar system at Tooso.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Toward Understanding Bugs in Vector Database Management Systems

    cs.SE 2025-06 conditional novelty 6.0 of 10

    A manual study of 1,463 confirmed bugs in 15 vector database systems yields a taxonomy of 5 symptom categories, 31 root causes, and 12 fix strategies.

Pith tools