RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses.
Honglei ZhuangZhen QinRolf JagermanKai HuiJi MaJing LuJianmo NiXuanhui WangMichael BenderskyPublished in: SIGIR (2023)
Keyphrases
- fine tuning
- web search
- ranking algorithm
- information retrieval
- ranked list
- learning to rank
- ranking functions
- cross media retrieval
- rank aggregation
- information retrieval systems
- probabilistic model
- visual features
- co occurrence
- general purpose
- link analysis
- image retrieval
- decision trees
- viable alternative
- data sets