Welcome! 登入 註冊
美寶首頁 美寶百科 美寶論壇 美寶落格 美寶地圖


The Assumption (Probabilisitic Principle) of the Probabilistic Model of IR

Posted by HP 
Assumption (Probabilistic Principle) Given a user query q and a document dj in the collection, the probabilisitc model tries to estimate the probability that the user will find the document dj interesting (i.e., relevant). The model assumes that this probability of relevance depends on the query and the document representations only. Further, the model assumes that there is a subset of all documents which the user prefers as the answer set for the query q. Such an ideal answer set is labeled R and should maximize the overall probability of relevance to the user. Documents in the set R are predicted to be relevant to the query. Documents not in this set are predicted to be non-relevant.

(Quoted from Modern Information Retrieval, 1999.)