Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: PACRR: A Position-Aware Neural IR Model for Relevance Matching
A Deep Relevance Matching Model for Ad-hoc Retrieval
Multi-Perspective Neural Architecture for Recommendation System
Learning to Rank Microblog Posts for Real-Time Ad-Hoc Search
On interactive learning-to-rank for IR: Overview, recent advances, challenges, and directions
Pseudo-Relevance Feedback Based on Matrix Factorization
A Comparison of Deep Learning Based Query Expansion with Pseudo-Relevance Feedback and Mutual Information
A Framework for Tag-Based Research Paper Recommender System: An IR Approach
Mining positive and negative patterns for relevance feature discovery
Multiresolution Graph Attention Networks for Relevance Matching
A model to estimate intrinsic document relevance from the clickthrough logs of a web search engine
mNIR: Diversifying Search Results based on a Mixture of Novelty, Intention and Relevance
WalkRanker: A Unified Pairwise Ranking Model with Multiple Relations for Item Recommendation
Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems
A document-based neural relevance model for effective clinical decision support
Metric Learning to Rank
Automatic image annotation and retrieval using cross-media relevance models
NAIS: Neural Attentive Item Similarity Model for Recommendation
A belief network model for IR
Image Search Reranking With Query-Dependent Click-Based Relevance Feedback
Proximity relevance model for query expansion
Learning to Win by Reading Manuals in a Monte-Carlo Framework
Brain growth across the life span in autism: Age-specific changes in anatomical pathology
Shooting a moving target: Motion-prediction-based transmission for 360-degree videos
An exploration of proximity measures in information retrieval
Filling Gaps in the Boundary of a Polyhedron