Introduction to probabilistic models in IR

Victor P. Lavrenko
2010 Proceeding of the 33rd international ACM SIGIR conference on Research and development in information retrieval - SIGIR '10  
Most of today's state-of-the-art retrieval models, including BM25 and language modeling, are grounded in probabilistic principles. Having a working understanding of these principles can help researchers understand existing retrieval models better and also provide industrial practitioners with an understanding of how such models can be applied to real world problems.
doi:10.1145/1835449.1835677 dblp:conf/sigir/Lavrenko10 fatcat:emrhptb75zdrnef5h62pqviqbq