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In this paper we aim to resolve the recommendation problem by using the virtual ratings in online environments when user rating information is not available. As a matter of fact, in most of current websites especially the Chinese video-sharing ones, the traditional pure rating based collaborative filtering recommender methods are not fully qualified due to the sparsity of rating data. Motivated by...
Along with the development of internet, a lot of new data appears in the web every day. To construct a retrieval model to adapt the new data quickly and to retrieval the new documents accurately is becoming an important research topic. In this paper, we put forward a new retrieval model by incorporating the theory of transfer learning with Markov Network. Firstly, compare term spaces network of old...
Learning to rank has become a popular method for web search ranking. Traditionally, expert-judged examples are the major training resource for machine learned web ranking, which is expensive to get for training a satisfactory ranking function. The demands for generating specific web search ranking functions tailored for different domains, such as ranking functions for different regions, have aggravated...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.