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04/26/2023
Improving Conversational Passage Re-ranking with View Ensemble
This paper presents ConvRerank, a conversational passage re-ranker that ...
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12/08/2021
On the Use of Unrealistic Predictions in Hundreds of Papers Evaluating Graph Representations
Prediction using the ground truth sounds like an oxymoron in machine lea...
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08/30/2020
Personalized TV Recommendation: Fusing User Behavior and Preferences
In this paper, we propose a two-stage ranking approach for recommending ...
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05/23/2020
Skewness Ranking Optimization for Personalized Recommendation
In this paper, we propose a novel optimization criterion that leverages ...
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05/05/2020
Query Reformulation using Query History for Passage Retrieval in Conversational Search
Passage retrieval in a conversational context is essential for many down...
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04/04/2020
Conversational Question Reformulation via Sequence-to-Sequence Architectures and Pretrained Language Models
This paper presents an empirical study of conversational question reform...
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03/18/2020
TTTTTackling WinoGrande Schemas
We applied the T5 sequence-to-sequence model to tackle the AI2 WinoGrand...
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02/17/2019
Collaborative Similarity Embedding for Recommender Systems
We present collaborative similarity embedding (CSE), a unified framework...
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08/28/2018
Superhighway: Bypass Data Sparsity in Cross-Domain CF
Cross-domain collaborative filtering (CF) aims to alleviate data sparsit...
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08/28/2018
Representation Learning for Image-based Music Recommendation
Image perception is one of the most direct ways to provide contextual in...
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11/01/2017
