International Business Machines Corporation

Debapriyo Majumdar

Karthik Visweswariah

Raghuram Krishnapuram

Deepak S Padmanabhan

Nandakishore Kambhatla

Prasad Manikarao Deshpande

Shajith I Mohamed

Rose Catherine Kanjirathinkal

Sugata Ghosal

Sumit Bhatia

Anup Kumar Ghosh

Asidhara Lahiri

Juhnyoung Lee

Soumitra Sarkar

Rafah A Hosn

Munish Goyal

Gyana Ranjan Parija

Rangachari Anand

Jayanta Basak

Vijil Enara Chenthamarakshan

Soujanya Soni

Sambuddha Roy

Rohit Manohar Lotlikar

Prakhar Biyani

Singh Amit Kumar Rambachan

Noel J Almeida

Pavithra Krishnan

Shivaram Kulkarni

Simon Thomas

Milind V Vaidya

Techniques for segregating one or more logs of at least one multitasking user to derive at least one behavioral pattern of the at least one multitasking user are provided. The techniques include obtaining at least one of at least one action log, configuration information, domain knowledge, at least one task history and open task repository information, correlating the at least one of at least one action log, configuration information, domain knowledge, at least one task history and open task repository information to determine a task associated with each of one or more actions and segregate the one or more logs based on the one or more actions, and using the one or more logs that have been segregated to derive at least one behavioral pattern of the at least one multitasking user. Techniques are also provided for deriving intelligence from at least one activity log of at least one multitasking user to provide information to the at least one user.

System and computer program product for deriving intelligence from activity logs

Method for deriving intelligence from activity logs

Embodiments of the present invention relate to an approach for reusing information/knowledge. Specifically, embodiments of the present invention provide an approach for retrieving previously stored data to satisfy queries (e.g., jobs/tickets) for solutions to problems while maintaining privacy/security of the data as well as ensuring the quality of the results. In a typical embodiment, a query for a solution to a problem is received and details are extracted therefrom. Using the details, a search is performed on a set of data stored in at least one computer storage device. Based on the search, a set of results will be generated and classified into a set of categories. In any event, the quality of each of the set of results will be assessed based on the usefulness of the set of results.

Computer-implemented information reuse

Methods and arrangements for handling queries for a discussion thread. A contemplated method includes: receiving a query; automatically classifying the query as subjective, objective or neither; and upon classifying the query as subjective or objective: calculating, for discussion threads of the query, at least one of: a subjectivity score and an objectivity score; determining a degree of relevance to the query of at least one of: the discussion threads, and at least one post in the at least one discussion thread; and ranking the discussion threads based on said calculating and determining. Other variants and embodiments are broadly contemplated herein.

Online thread retrieval using thread structure and query subjectivity

Techniques for retrieval of one or more relevant multi-attribute structured objects with respect to a query are provided. The techniques include receiving a query, grouping one or more attributes of one or more objects in a database into one or more groups according to how each bears a relation to the query, and using the one or more attribute groups to produce an output of one or more relevant multi-attribute structured objects in response to the query.

Retrieval of relevant objects in a similarity

Embodiments of the invention provide retailers with the ability to employ concept-based marketing using only a few representative examples. Embodiments of the invention take seed examples, utilize the seed examples to provide an expanded list (that can be edited as desired) representative of the concept, and map the expanded list to a final set of customers to be included in a targeted marketing operation.

System and method for example based targeted marketing

Methods and arrangements for handling user queries. Submitted queries are accessed, and there are identified queries as being insufficiently addressed. A priority is estimated for the identified queries, and the identified queries are ordered based on the estimated priority. A priority-ordered list of queries is provided as output.

Managing and improving question and answer resources and channels

Methods and arrangements for providing interactive query suggestions. A partial user query phrase is received, the partial query phrase comprising a final word element. A vocabulary is accessed and, from the vocabulary, at least one possible completion of the final word element is ascertained. A phrase index is accessed and, from the phrase index, at least two phrases corresponding to completions of the partial user query phrase with the at least one possible completion of the final word element are ascertained. A probability score is assigned to each of the at least two phrases, and the at least two phrases are ranked based on probability.

Providing effective interactive query suggestions without query logs

Methods and arrangements for providing effective interactive query suggestions without query logs

A decision support tool which takes a high-level view of supply and demand in the realm of labor resources and produces globally-optimal recommendations for assignment of practitioners to open seats. These assignments preferably optimize a utility function composed of different business metrics and can be customizable for different organizations and priorities.

Decision support system and method for distributed decision making for optimal human resource deployment

A method, a system and a computer program product for analyzing a document are disclosed. In response to receiving the document, the document is partitioned into a plurality of segments using a set of pre-defined attributes. The plurality of segments of the document is mapped with corresponding segments of at least one template selected from a set of stored templates. A first template from the set of stored templates is selected and a group of segments in the first template is identified by computing at least one of a structural similarity and a textual similarity associated with the group of segments compared with the plurality of segments of the document. A subset of segments from the group of segments is aligned with corresponding segments from the plurality of segments of the document. A set of scores is computed using a set of pre-defined criteria, in response to the mapping. The document is analyzed based on the computed set of scores.

Analyzing documents using stored templates

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Kolkata, India

Debapriyo Majumdar