no code implementations • 8 Jan 2021 • Hui Luo, Jingbo Zhou, Zhifeng Bao, Shuangli Li, J. Shane Culpepper, Haochao Ying, Hao liu, Hui Xiong
We design a novel multi-task learning model called MPR (short for Multi-level POI Recommendation), where each task aims to return the top-k POIs at a certain spatial granularity level.
1 code implementation • 9 Nov 2020 • Rodger Benham, Alistair Moffat, J. Shane Culpepper
Search engine users rarely express an information need using the same query, and small differences in queries can lead to very different result sets.
1 code implementation • 30 Mar 2020 • Shixun Huang, Zhifeng Bao, Guoliang Li, Yanghao Zhou, J. Shane Culpepper
More specifically, we first propose a temporal random walk that can identify relevant nodes in historical neighborhoods which have impact on edge formations.
1 code implementation • WSDM 2019 • Luke Gallagher, Ruey-Chen Chen, Roi Blanco, J. Shane Culpepper
A cascaded ranking architecture turns ranking into a pipeline of multiple stages, and has been shown to be a powerful approach to balancing efficiency and effectiveness trade-offs in large-scale search systems.
1 code implementation • 15 Nov 2018 • Rodger Benham, Joel Mackenzie, Alistair Moffat, J. Shane Culpepper
Rank fusion is a powerful technique that allows multiple sources of information to be combined into a single result set.