http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
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- 저자 : Shilpa Sethi (검색결과 1 건)
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Query Recommendation Based on User Browsing History
Shilpa Sethi,Ashutosh Dixit 보안공학연구지원센터 2016 International Journal of Database Theory and Appli Vol.9 No.6
The most commercial search engines return the search list by matching the user query terms with the documents available in its database. The relative effectiveness of search list is highly affected by the extent to which the query keywords map to the actual need of user. User generally forms the short, ambiguous and instant queries which lead to inclusion of irrelevant documents in the search list. One well known solution to this problem is query suggestion also known as query recommendation. For query recommendations, the search systems maintain the query logs at server sites to better understand user’s information need. But till now, the current search systems have partially solved this problem as they roughly offer the similar queries to all the users regardless of their actual interests. In this paper, A novel query recommendation technique based on user browsing patterns is proposed where user interest factor in different domains are computed and used to recommend personalised queries to each individual. The experimental evaluation shows that system is able to assist user in query formation phase and efficiently reduces the search space and time required to get the desired information.
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