Cluster Language Model for Improved E-Commerce Retrieval and Ranking: Leveraging Query Similarity and Fine-Tuning for Personalized Results.
Duleep Rathgamage DonYing XieLe YuSimon HughesYun ZhuPublished in: CoRR (2023)
Keyphrases
- language model
- fine tuning
- query specific
- document ranking
- query expansion
- pseudo feedback
- document length
- query terms
- relevance model
- ad hoc information retrieval
- inter document similarities
- web page retrieval
- document retrieval
- language modeling
- retrieval model
- pseudo relevance feedback
- test collection
- original query
- information retrieval
- document similarity
- human relevance judgments
- smoothing methods
- term dependencies
- probabilistic model
- n gram
- retrieved documents
- statistical language modeling
- query topic
- trec test collections
- ranked list
- retrieval effectiveness
- retrieval accuracy
- probabilistic retrieval models
- clustering algorithm
- retrieval systems
- vector space model
- average precision
- ad hoc retrieval
- ranking functions
- text retrieval
- expert search
- federated search
- document level
- ir models
- translation model
- learning to rank
- collaborative filtering
- language models for information retrieval
- retrieval process
- relevant documents
- similarity measurement
- information retrieval systems
- query processing
- search engine