ranxhub

Run

RanxHub ID: amdbfpse/phy/test/ikr3/bm25-qa
Version: 1.0
Description: This run was computed using QA to re-rank the top 1000 BM25 results. Original and re-ranking scores were fused using the Weighted Sum fusion algorithm provided by ranx.
Tags: Fine-Tuned · Re-Ranking
Date: 12 August 2022
Run Authors: Elias Bassani
From Paper: A Multi-Domain Benchmark for Personalized Search Evaluation
Paper Authors: Elias Bassani · Pranav Kasela · Alessandro Raganato · Gabriella Pasi

Model

Name: QA
Description: QA is a query-aware personalization model that weighs the contribution of the user-related texts w.r.t. the query during personalization. Texts representations were computed with all-MiniLM-L6-v2.
Tags: Personalization · Query-Aware Personalization · Neural Network · Deep Learning · Transformer
Paper: A Multi-Domain Benchmark for Personalized Search Evaluation
Authors: Elias Bassani · Pranav Kasela · Alessandro Raganato · Gabriella Pasi

Results

MAP@100 MRR@10 NDCG@10
0.17465504229949197 0.61797576659735 0.32718243674300546