Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: 1. Abstract This article presents our contributions to expert s earch and discussion search of Enterprise Track in TREC 2006. In discussion search,  take advantage of th e redundant patterns of emails, such as the subject , author, sent time, etc., which  incorporate in a field-based ighting method to mine discussion top ics with more robustness. Some non-content features, su ch as time-line and mail thread are found to be use ful as experiments shod they improve the precision of the search. In expert search, two variants of the BM25 and DFR_BM25 ighting models - namely V-BM25 and V-DFR_BM25 - are put forward. Query-based document length, not profile length, is used as document length in these ighting models to eliminate multi ple topic drift. In addition,  propose a variant of an existing phrase ighting model to decrease topic c onfusion (V-phrase) and a two-stage field-based sea rch method to refine the results.  demonstrate these approaches can effectively improve expert search.
['Ganmei c You', 'Yaojie c Lu', 'Gang Li', 'Yueyan Yin']
I am writing a research paper on a idea Ricoh Research at TREC 2006: Enterprise Track
[{"from": "human", "value": "I am writing a research paper on a idea Ricoh Research at TREC 2006: Enterprise Track"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: 1. Abstract This article presents our contributions to expert s earch and discussion search of Enterprise Track in TREC 2006. In discussion search,  take advantage of th e redundant patterns of emails, such as the subject , author, sent time, etc., which  incorporate in a field-based ighting method to mine discussion top ics with more robustness. Some non-content features, su ch as time-line and mail thread are found to be use ful as experiments shod they improve the precision of the search. In expert search, two variants of the BM25 and DFR_BM25 ighting models - namely V-BM25 and V-DFR_BM25 - are put forward. Query-based document length, not profile length, is used as document length in these ighting models to eliminate multi ple topic drift. In addition,  propose a variant of an existing phrase ighting model to decrease topic c onfusion (V-phrase) and a two-stage field-based sea rch method to refine the results.  demonstrate these approaches can effectively improve expert search."}]