ABSTRACT
Mobile networks in developing regions have been plagued by three basic problems: low bandwidth, high latency and high costs. Due to these factors, mobile web users in these regions are known to have a highly intermittent and relatively non-interactive user experience. In this paper, we consider the case of mobile search and propose Summarization search, a new search paradigm for mobile users where the basic goal is to provide a single summarized and relatively complete search response for every user search query. Summarization search is specifically designed as a relatively non-interactive, one-time quick shot search experience for mobile users where a mobile user can issue focused queries for specific information search needs. Our summarization search engine is designed as a meta-search service on top of conventional search services to generate a single summarized and condensed search response based on extracting the "most useful" information from the underlying search result pages. Our system yielded a high accuracy (82-92%) for three classes of focused queries: task oriented queries, category specific queries and focused issue focused queries for specific information search needs. queries sampled from the AOL log. We also performed a user study with 400 queries and 30 users. The user study results show that in a scale of 1 (best) to 5(worst), 45% of the cases, users rated the result as '1' and 40% of the cases were rated as '2', with an average rating of 2.09 across all users for all queries. Another task in the user study revealed that for around 55% of queries, users found their information in the summarized result. This demonstrates the effectiveness of the summarization search interface, where users' information requirement is fulfilled with just one operation of submitting the search query.
- Chen, J. and Subramanian, L. and Li, J. RuralCafe: web search in the rural developing world. WWW. 2009 Google ScholarDigital Library
- Teevan, J. and Ramage, D. and Morris, M. Ringel.# TwitterSearch: a comparison of microblog search and web search. WSDM. 2011 Google ScholarDigital Library
- Radev, D. R., Hovy, E., and McKeown, K. (2002). Introduction to the special issue on summarization. Computational Linguistics., 28(4) Google ScholarDigital Library
- Y. Zaki, J. Chen, T. Pötsch, T. Ahmad, and L. Subramanian. Dissecting web latency in ghana. In IMC 2014. Google ScholarDigital Library
- J. Chen and L. Subramanian. Interactive web caching for slow or intermittent networks. In DEV 2013. Google ScholarDigital Library
- D. Iland and E. Belding. Emergenet: robust, rapidly deployable cellular networks. Communications Magazine, IEEE, 52(12), 2014.Google Scholar
- A. Balasubramanian, N. Balasubramanian, S. J. Huston, D. Metzler, D. J. Wetherall. Findall: A local search engine for mobile phones. CoNEXT 2012. Google ScholarDigital Library
- S. Isaacman and M. Martonosi. The c-link system for collaborative web usage: A real-world deployment in rural nicaragua. In NSDR 2009.Google Scholar
- W. Thies, J. Prevost, T. Mahtab, G. T. Cuevas, S. Shakhshir, A. Artola, B.D. Vo, Y. Litvak, S. Chan, S. Henderson, M. Halsey, L. Levison, and S. Amarasinghe Searching the World Wide Web in Low-Connectivity Communities. In WWW, 2002.Google Scholar
- Y. Zaki, T. Potsch, J. Chen, L. Subramanian, C. GorgAdaptive Congestion Control for Unpredictable Cellular Networks.\textitSIGCOMM 2015. Google ScholarDigital Library
- A. Balasubramanian, B. Levine, A. Venkataramani. DTN Routing as a Resource Allocation Problem. ACM Sigcomm, August 2007 Google ScholarDigital Library
Index Terms
- Summarization Search: A New Search Abstraction for Mobile Devices
Recommendations
Sentiment diversification for short review summarization
WI '17: Proceedings of the International Conference on Web IntelligenceWith the abundance of reviews published on the Web about a given product, consumers are looking for ways to view major opinions that can be presented in a quick and succinct way. Reviews contain many different opinions, making the ability to show a ...
Multi-document Hyperedge-based Ranking for Text Summarization
CIKM '14: Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge ManagementIn a multi-document settings, graph-based extractive summarization approaches build a similarity graph out of sentences in each cluster of documents then use graph centrality approaches to measure the importance of sentences. The similarity is computed ...
Sentence Retrieval with Sentiment-specific Topical Anchoring for Review Summarization
CIKM '17: Proceedings of the 2017 ACM on Conference on Information and Knowledge ManagementWe propose Topic Anchoring-based Review Summarization (TARS), a two-step extractive summarization method, which creates review summaries from the sentences that represent the most important aspects of a review. In the first step, the proposed method ...
Comments