Examining task relationships in multitasking consumer search sessions: A query log analysis
نویسندگان
چکیده
منابع مشابه
Multitasking during Web search sessions
A user s single session with a Web search engine or information retrieval (IR) system may consist of seeking information on single or multiple topics, and switch between tasks or multitasking information behavior. Most Web search sessions consist of two queries of approximately two words. However, some Web search sessions consist of three or more queries. We present findings from two studies. F...
متن کاملAnalysis of Web Search Engine Query Sessions
In this paper we process and analyze web search engine query and click data from the perspective of the query session (query + clicked results) conducted by the user. We initially state some hypotheses for possible user types and quality profiles for the user session, based on descriptive variables of the session. The query dataset is preprocessed and analyzed using some ...
متن کاملUser Behaviors Lend a Helping Hand: Learning Paraphrase Query Patterns from Search Log Sessions
Search log sessions contain a large number of paraphrases contributed by users during query rewriting. However, it is a big challenge to distinguish paraphrases from the simply related queries in the sessions. This paper addresses this problem by making innovative use of user behavior information embodied in query sessions. Specifically, we learn paraphrase patterns from the search log sessions...
متن کاملDetecting User Sessions in the Tumba! Query Log
This paper describes an approach to detect distinct user sessions from the logs of a particular search engine. We present our work by describing the proposed algorithm and some interesting usage patterns that were detected. Some pitfalls of our approach are also noted. Finally, we give some insights on how web log mining could be exploited in other areas such as semantic relation extraction or ...
متن کاملPrivacy in Web Search Query Log Mining
Web search engines have changed our lives enabling instant access to information about subjects that are both deeply important to us, as well as passing whims. The search engines that provide answers to our search queries also log those queries, in order to improve their algorithms. Academic research on search queries has shown that they can provide valuable information on diverse topics includ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Proceedings of the Association for Information Science and Technology
سال: 2016
ISSN: 2373-9231
DOI: 10.1002/pra2.2016.14505301102