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Discovering Tasks from Search Engine Query Logs
, 2013
"... Although Web search engines still answer user queries with lists of ten blue links to webpages, people are increasingly issuing queries to accomplish their daily tasks (e.g., finding a recipe, booking a flight, reading online news, etc.). In this work, we propose a two-step methodology for discoveri ..."
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Although Web search engines still answer user queries with lists of ten blue links to webpages, people are increasingly issuing queries to accomplish their daily tasks (e.g., finding a recipe, booking a flight, reading online news, etc.). In this work, we propose a two-step methodology for discovering tasks that users try to perform through search engines. First, we identify user tasks from individual user sessions stored in search engine query logs. In our vision, a user task is a set of possibly noncontiguous queries (within a user search session), which refer to the same need. Second, we discover collective tasks by aggregating similar user tasks, possibly performed by distinct users. To discover user tasks, we propose query similarity functions based on unsupervised and supervised learning approaches. We present a set of query clustering methods that exploit these functions in order to detect user tasks. All the proposed solutions were evaluated on a manually-built ground truth, and two of them performed better than state-of-the-art approaches. To detect collective tasks, we propose four methods that cluster previously discovered user tasks, which in turn are represented by the bag-of-words extracted from their composing queries. These solutions were also evaluated on another manually-built ground truth.
CoSi: Context-Sensitive Keyword Query Interpretation on RDF Databases
"... The demo will present CoSi, a system that enables contextsensitive interpretation of keyword queries on RDF databases. The techniques for representing, managing and exploiting query history are central to achieving this objective. The demonstration will show the effectiveness of our approach for cap ..."
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The demo will present CoSi, a system that enables contextsensitive interpretation of keyword queries on RDF databases. The techniques for representing, managing and exploiting query history are central to achieving this objective. The demonstration will show the effectiveness of our approach for capturing a user’s querying context from their query history. Further, it will show how context is utilized to influence the interpretation of a new query. The demonstration is based on DBPedia, the RDF representation of Wikipedia.
Query Heartbeat: A Strange Property of Keyword Queries on the Web
"... This paper illustrates a strange property that was encountered when analysing keyword query data. The objective of this work was to observe the temporal properties of keyword queries. However, we found that generic keyword queries that have large enough volumes tend to follow the same “attractor ” d ..."
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This paper illustrates a strange property that was encountered when analysing keyword query data. The objective of this work was to observe the temporal properties of keyword queries. However, we found that generic keyword queries that have large enough volumes tend to follow the same “attractor ” distribution. This phenomenon was discovered in a 3-month dataset. However, a visually similar phenomenon was also apparent when the keywords were searched on Google.
Federated Search Applications versus Sponsored Search
, 2006
"... The cost of sponsored search can be specified as expected information loss suffered by users. Both the high profit margins of search engines using sponsored search and the information loss derive from the same source: information asymmetry between the search engine and its users. I argue that the us ..."
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The cost of sponsored search can be specified as expected information loss suffered by users. Both the high profit margins of search engines using sponsored search and the information loss derive from the same source: information asymmetry between the search engine and its users. I argue that the use of sponsored listings create economic barriers to relevance improvements that are insurmountable in practical settings. An alternative mechanism, Federated Search Applications, are presented and shown to be theoretically free of such barriers. Further, I argue that as FSA systems come online they will be attractive products because of their ability to maximize user value without the constraints imposed by the sponsored search model. 1
Alignment Methods to the SAP Invoice Process Example
"... n pplication of rocess ining by Sequence lign ent ethods to the S Invoice rocess xa ple ..."
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n pplication of rocess ining by Sequence lign ent ethods to the S Invoice rocess xa ple
Evaluation of Digital Library Services Using Complementary Logs∗
"... In recent years, the importance of log analysis has grown, log data constitute a relevant aspect in the evaluation process of the quality of a digital library system. In this paper, we ad-dress the problem of log analysis for complex systems such as digital library systems, and how the analysis of s ..."
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In recent years, the importance of log analysis has grown, log data constitute a relevant aspect in the evaluation process of the quality of a digital library system. In this paper, we ad-dress the problem of log analysis for complex systems such as digital library systems, and how the analysis of search query logs or Web logs is not sufficient to study users and interpret their preferences. In fact the combination of im-plicitly and explicitly collected data improves understanding of behavior with respect to the understanding that can be gained by analyzing the sets of data separately. Categories and Subject Descriptors
