users ’ perspective. We further evaluate the proposed methods empirically with 50 manually constructed queries and 3000 auto-generated queries on a dataset crawled from del.icio.us. Experiments show that both SSR and SPR benefit web search significantly.

no way to automatically generate multi-fielded domain-specific query interfaces and systems. In this paper we propose a technique that given an object-oriented conceptual model of data as input can automatically generate a complex domain-specific navigable query interface and search system for that data

and visual information. Based on the characteristic that a Web-image query may be refined by various attributes, the proposed approach hierarchically groups similar queries from search engine logs into topic classes at different semantic levels. The generated topic hierarchy has the advantages of organizing

ABSTRACT Query auto-completion (QAC) is one of the most prominent features of modern search engines. The list of query candidates is generated according to the prefix entered by the user in the search box and is updated on each new key stroke. Query prefixes tend to be short and ambiguous

. Automatically predicting the performance of different modification suggestion models before getting the users involved is therefore highly desirable. AutoEval is an evaluation methodology that assesses the quality of query modifications generated by a model using the query logs of past user interactions

services provide query suggestions for many queries. In this paper, we propose a Tag Suggestion System that takes advantage of tags associated with query results to expand a searcher’s query. Since not every web page is associated with existing tags, we first build an auto-tagging system which can assign

, and other learning environments with question–answer facilities that are under the learner control. AutoTutor and iSTART use animated conversational agents to scaffold strategies of inquiry, metacognition, and explanation construction. AutoTutor coaches students in generating answers to questions

There are a lot of Companies working to find high return of investment related with AUTO-ID technology implementation. This´ll remain an obstacle until these Companies change their AUTO-ID focus from tool to a part of an integrated solution instead of integrate AUTO-ID with Collaborative

, the detailed statement of information need is auto- matically processed by a series of natural langnage processing routines in order to derive an optimal search query for a statistical information retrieval system. In this paper, we investigate the role of automated document summarization in building effec

, the detailed statement of information need is auto-matically processed by a series of natural language processing routines in order to derive an optimal search query for a statistical information retrieval system. In this paper, we investigate the role of au-tomated document summarization in building effec