ACM Transactions on Information Systems (TOIS)
Information re-retrieval: repeat queries in Yahoo's logs
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
A time machine for text search
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
A survey of collaborative web search practices
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Improving search relevance for implicitly temporal queries
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Use of temporal expressions in web search
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
An elaborated model of social search
Information Processing and Management: an International Journal
Determining time of queries for re-ranking search results
ECDL'10 Proceedings of the 14th European conference on Research and advanced technology for digital libraries
Understanding temporal query dynamics
Proceedings of the fourth ACM international conference on Web search and data mining
Detecting seasonal queries by time-series analysis
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
EPIA'11 Proceedings of the 15th Portugese conference on Progress in artificial intelligence
A language modeling approach for temporal information needs
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
| Hi-index | 0.00 |
Temporal aspects of web search have gained a great level of attention in the recent years. However, many of the research attempts either focused on technical development of various tools or behavioral analysis based on log data. This paper presents the results of user survey carried out to investigate the practice and experience of temporal web search. A total of 110 people was recruited and answered 18 questions regarding their recent experience of web search. Our results suggest that an interplay of seasonal interests, technicality of information needs, target time of information, re-finding behaviour, and freshness of information can be important factors for the application of temporal search. These findings should be complementary to log analyses for further development of temporally aware search engines.