Browse Prior Art Database

Improved Sametime Chat History Search Disclosure Number: IPCOM000235463D
Publication Date: 2014-Mar-03
Document File: 3 page(s) / 63K

Publishing Venue

The Prior Art Database


A common issue with instant messaging systems is the organization and retrieval of valuable information from the chats history in an easy and effective way.

This text was extracted from a PDF file.
This is the abbreviated version, containing approximately 37% of the total text.

Page 01 of 3

Improved Sametime Chat History Search

Disclosed is a solution to improve the Chat History retrieval process while providing a wide set of features to help the user find information with high accuracy within saved conversations from the local chat history of a messaging system.

    The daily usage of messaging systems generates a vast amount of highly valuable information, data, instructions and know-how: providing users with an easy and performing access facility to this valuable stored information implies an improvement in productivity.

    From a general point of view, anyone using an instant messaging system is interested in finding an old conversation easily and quickly depending on what he/she remembers of it: e.g. sometimes the user knows who was the contact, sometimes he remembers just the specific period of time. The ability for the user to specify them will give her/him the complete control over her/his Chat History. Especially in a distributed work context, instant messaging is as important as e-mail, but with more interaction and so it is a more powerful and different from of communication: so why shouldn't it have the same facilities as e-mail clients have?

    Currently the instant messaging systems allow users to save their chat history locally into html files. Sametime users can browse and read old chats through the Chat History plugin. The Chat History plugin provides a basic search engine with basic capability e.g. a user can search for words on the entire history content i.e. all past chats with either all or one specific user.

    The limit of the current solution is that as the number of saved chats grows, the search performance degrades. Also the search process is inefficient: the user cannot narrow the search scope due to the lack of specific filters such as date ranges or contact list. For example if a user wants to retrieve a conversation about a specific topic she/he had with a one or more people around a certain period of time in the past, she/he cannot not specify those search filter parameters. The current search engines will search the whole Chat History regardless. Furthermore, there is no a smart approach to deal with misspelt words or to augment the search capability using synonyms or similar content (such as dictionaries, fuzzy queries, Levenshtein distance, etc.).

Finally, the user has no way to tag conversations for fast retrieval.

For example, let us introduce John. John is working in a world wide team with

colleagues based in the US, Ireland and Germany with whom he interacts daily for his job activities.

    In a known messaging system these conversations are saved in the local chat history allowing John to retrieve information and refer to them at any time.

    John has had daily work chats with his colleagues for a year, so the total size of his local chat history and the value and variety of information stored within it has grown quite substantially.

    During the year John has had several chats with Mark and Erik a...