Hybrid Index Structures for Temporal-Textual Web Search

Most Web pages contain temporal information. However, most of previous studies only consider the update time of Web pages rather than fully exploit different temporal features in Web. In this paper, we propose a novel approach to fusing different temporal features in Web pages to build an efficient index structure for temporal-textual Web search. Specially, we focus on update time and content time, and propose to use a hybrid index structure to organize textual keywords, update time, and content time. In particular, we study three mechanisms to implement a hybrid index structure for temporal-textual Web search: (1) first inverted file then MAP21-tree and B+-tree, (2) first inverted file then MAP21-tree, (3) expanded inverted file. We conduct experiments on a real dataset to evaluate the performance of those hybrid index structures. The experimental results show that the first inverted file then MAP21-tree index structure has the best query performance.