Results 11 to 20 of about 1,749 (37)

An Intent Taxonomy of Legal Case Retrieval

open access: yes, 2023
Legal case retrieval is a special Information Retrieval~(IR) task focusing on legal case documents. Depending on the downstream tasks of the retrieved case documents, users' information needs in legal case retrieval could be significantly different from ...
Ai, Qingyao   +7 more
core  

A geometric framework for modelling similarity search

open access: yes, 1999
The aim of this paper is to propose a geometric framework for modelling similarity search in large and multidimensional data spaces of general nature, which seems to be flexible enough to address such issues as analysis of complexity, indexability, and ...
Pestov, Vladimir
core   +1 more source

RecAI: Leveraging Large Language Models for Next-Generation Recommender Systems

open access: yes
This paper introduces RecAI, a practical toolkit designed to augment or even revolutionize recommender systems with the advanced capabilities of Large Language Models (LLMs). RecAI provides a suite of tools, including Recommender AI Agent, Recommendation-
Huang, Xu   +5 more
core   +1 more source

Faithful Path Language Modelling for Explainable Recommendation over Knowledge Graph

open access: yes, 2023
Path reasoning methods over knowledge graphs have gained popularity for their potential to improve transparency in recommender systems. However, the resulting models still rely on pre-trained knowledge graph embeddings, fail to fully exploit the ...
Balloccu, Giacomo   +4 more
core  

O Contract, Where Art Thou? Contract Management as a SharePoint Oddity

open access: yes, 2023
For many legal operations teams, the management of the contracts and agreements that their organization are negotiating or have been executed is an encompassing and time-consuming task.
Roegiest, Adam, Vtyurina, Sasha
core  

An Approximate Algorithm for Maximum Inner Product Search over Streaming Sparse Vectors

open access: yes, 2023
Maximum Inner Product Search or top-k retrieval on sparse vectors is well-understood in information retrieval, with a number of mature algorithms that solve it exactly.
Bruch, Sebastian   +3 more
core  

Towards Google matrix of brain

open access: yes, 2010
We apply the approach of the Google matrix, used in computer science and World Wide Web, to description of properties of neuronal networks. The Google matrix ${\bf G}$ is constructed on the basis of neuronal network of a brain model discussed in PNAS ...
Shepelyansky, D. L., Zhirov, O. V.
core   +3 more sources

InRanker: Distilled Rankers for Zero-shot Information Retrieval

open access: yes
Despite multi-billion parameter neural rankers being common components of state-of-the-art information retrieval pipelines, they are rarely used in production due to the enormous amount of compute required for inference.
Laitz, Thiago   +3 more
core  

UMBRELA: UMbrela is the (Open-Source Reproduction of the) Bing RELevance Assessor

open access: yes
Copious amounts of relevance judgments are necessary for the effective training and accurate evaluation of retrieval systems. Conventionally, these judgments are made by human assessors, rendering this process expensive and laborious.
Craswell, Nick   +4 more
core  

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