Combining bidirectional translation and synonymy for cross-language information retrieval
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Improving Temporal Language Models for Determining Time of Non-timestamped Documents
ECDL '08 Proceedings of the 12th European conference on Research and Advanced Technology for Digital Libraries
Using Temporal Language Models for Document Dating
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II
Determining time of queries for re-ranking search results
ECDL'10 Proceedings of the 14th European conference on Research and advanced technology for digital libraries
On effectiveness measures and relevance functions in ranking INEX systems
AIRS'05 Proceedings of the Second Asia conference on Asia Information Retrieval Technology
| Hi-index | 0.00 |
Search engine technology builds on theoretical and empirical research results in the area of information retrieval (IR). This dissertation makes a contribution to the field of language modeling (LM) for IR, which views both queries and documents as instances of a unigram language model and defines the matching function between a query and each document as the probability that the query terms are generated by the document language model. The work described is concerned with three research issues.