Many traditional information retrieval models, such as BM25 and language modeling, give good retrieval effectiveness, but can be difficult to implement efficiently. Recently, docum...
In a categorized information space, predicting users' information needs at the category level can facilitate personalization, caching and other topic-oriented services. This ...
Abstract. Traditional retrieval models assume that query terms are independent and rank documents primarily based on various term weighting strategies including TF-IDF and document...
Stable component models are an essential prerequisite for developing customer-individual business applications. Thereby the information for the identification and specification of ...
As the amount of available data continues to increase, more and more effective means for discovering important patterns and relationships within that data are required. Although t...