Definition: In this task, you are given a part of an article. Your task is to generate headline (title) for this text. Preferred headlines are under fifteen words.
Input: We treat collaborative filtering as a univari­ ate time series problem: given a user's previ­ ous votes, predict the next vote. We describe two families of methods for transforming data to encode time order in ways amenable to off-the-shelf classification and density estima­ tion tools. Using a decision-tree learning tool and two real-world data sets, we compare the results of these approaches to the results of collaborative filtering without ordering infor­ mation. The improvements in both predic­ tive accuracy and in recommendation quality that we realize advocate the use of predictive algorithms exploiting the temporal order of

Using Temporal Data for Making Recommendations